final program - siam: society for industrial and applied ... by the siam activity group on...

Sponsored by the SIAM Activity Group on Computational Science and Engineering (CSE)

The SIAM Activity Group on CS&E fosters collaboration and interaction among applied mathematicians, computer scientists, domain scientists and engineers in those areas of research related to the theory, development, and use of computational technologies for the solution of important problems in science and engineering. The activity group promotes computational science and engineering as an academic discipline and promotes simulation as a mode of scientific discovery on the same level as theory and experiment. The activity group organizes this conference and maintains a wiki, a membership directory, and an electronic mailing list.

Final Program

Society for Industrial and Applied Mathematics3600 Market Street, 6th Floor

Philadelphia, PA 19104-2688 USATelephone: +1-215-382-9800 Fax: +1-215-386-7999

Conference E-mail: [email protected] Conference Web: www.siam.org/meetings/

Membership and Customer Service: (800) 447-7426 (US & Canada) or +1-215-382-9800 (worldwide)

www.siam.org/meetings/cse15

SIAM 2015 Events Mobile App Scan the QR code with any QR reader and download the TripBuilder EventMobile™ app to your iPhone, iPad, iTouch or Android mobile device. You can also visit www.tripbuilder.com/siam2015events

2 2015 SIAM Conference on Computational Science and Engineering

Table of Contents

General Information .............................. 2

Celebrating 15 Years of SIAM CSE ..... 5

Prize Award Ceremony ......................... 5

Conference Sponsors ............................ 3

Invited Plenary Presentations ................ 8

Symposium on Materials ................... 10

Minitutorials ........................................ 11

Featured Minisymposia ....................... 12

Panels .................................................. 14

Career Fair .......................................... 16

Professional Development Evening .... 17

Student Days ....................................... 19

Workshop Celebrating Diversity ......... 21

AWM Workshop ................................. 21

Mentoring Program ............................. 23

Program Schedule ............................... 25

Sunday Poster Session ........................ 80

AWM Poster Session .......................... 85

Monday Poster Session ..................... 111

Speaker and Organizer Index ............ 181

Conference Budget ... Inside Back Cover

Salt Palace Meeting Room Floor Plan ....

.......................................... Back Cover

Organizing Committee Co-ChairsHans De Sterck University of Waterloo, Canada

Chris Johnson University of Utah, USA

Lois Curfman McInnes Argonne National Laboratory, USA

Organizing CommitteeEvrim AcarUniversity of Copenhagen, Denmark

Tom BartolSalk Institute, USA

Pavel Bochev Sandia National Laboratories, USA

Hank ChildsLawrence Berkeley National Laboratory and

University of Oregon, USA

Vincent HeuvelineHeidelberg University, Germany

Mary Ann LeungSustainable Horizons, USA

Anders LoggChalmers University of Technology, Sweden

Susan MinkoffUniversity of Texas, Dallas, USA

Patrick O’LearyKitware, USA

Luke OlsonUniversity of Illinois at Urbana-Champaign,

USA

Steve ParkerNVIDIA, USA

Linda PetzoldUniversity of California, Santa Barbara,

USA

Han-Wei ShenOhio State University, USA

Feng XiaoTokyo Institute of Technology, Japan

Irad YavnehTechnion, Israel

SIAM Registration Desk The SIAM registration desk is located in the East Foyer of the The Calvin L. Rampton Salt Palace Convention Center. Registration hours are:

Friday, 1:00 PM - 5:00 PM

Saturday, 7:15 AM - 5:00 PM

Sunday, 7:30 AM - 5:00 PM

Monday, 7:30 AM - 5:00 PM

Tuesday, 7:45 AM - 5:00 PM

Wednesday, 7:45 AM - 2:30 PM

Convention Center Address The Calvin L. Rampton Salt Palace Convention Center

100 SW Temple Salt Lake City, UT 84101 USA

Phone: +1(385) 468-2222

Child CareTo find local child care options in Salt Lake City, please use https://careaboutchildcare.utah.gov/parent/search.aspx, using the area code 84101, or https://www.guardianangelbaby.com/home-frame.htm to find reputable child care services.

Corporate Members and AffiliatesSIAM corporate members provide their employees with knowledge about, access to, and contacts in the applied mathematics and computational sciences community through their membership benefits. Corporate mem-bership is more than just a bundle of tangible products and services; it is an expression of support for SIAM and its programs. SIAM is pleased to acknowledge its corporate members and sponsors. In recognition of their support, non-member attendees who are employed by the following organizations are entitled to the SIAM member registration rate.

Corporate Institutional MembersThe Aerospace CorporationAir Force Office of Scientific ResearchAramco Services CompanyAT&T Laboratories - Research Bechtel Marine Propulsion LaboratoryThe Boeing CompanyCEA/DAMDepartment of National Defence (DND/ CSEC)DSTO- Defence Science and Technology OrganisationExxonMobil Upstream Research Hewlett-PackardIBM CorporationIDA Center for Communications Research, La JollaIDA Center for Communications Research, PrincetonInstitute for Computational and Experimental Research in Mathematics (ICERM)Institute for Defense Analyses, Center for Computing SciencesLawrence Berkeley National Laboratory Lockheed MartinLos Alamos National LaboratoryMathematical Sciences Research InstituteMax-Planck-Institute for Dynamics of Complex Technical SystemsMentor GraphicsNational Institute of Standards and Technology (NIST)National Security Agency (DIRNSA) Oak Ridge National Laboratory, managed by UT-Battelle for the Department of EnergySandia National LaboratoriesSchlumberger-Doll ResearchTech X CorporationU.S. Army Corps of Engineers, Engineer Research and Development Center United States Department of Energy

*List current January 2015

2015 SIAM Conference on Computational Science and Engineering 3

Funding AgenciesSIAM and the conference organizing commit-tee wish to extend their thanks and apprecia-tion to the U.S. National Science Foundation and the Department of Energy for their sup-port of this conference.

Special Themes: • CSE software

• Big data analytics

Additional Themes: • Physics-compatible numerical methods

• High-accuracy numerical methods

• Compressed sensing and sparse representation

• Multiphysics, multiscale, and multilevel methods

• Reduced-order modeling

• Visual data analysis

• Multi-modal methods and data fusion

• Biomedical computing

• Computational neuroscience

• Verification, validation, and uncertainty quantification

• Extreme-scale and hardware-aware algorithms

• Modeling and computing complex flows

• Computational statistics

• CSE education

Of special note at CSE15:• Increased emphasis on poster sessions,

including demos, thematic groups of posters, and new poster prizes

• 15th Anniversary celebration of SIAM-CSE conferences

Leading the applied mathematics community . . .Join SIAM and save!SIAM members save up to $130 on full registration for the 2015 SIAM Conference on Computational Science and Engineering! Join your peers in supporting the premier profes-sional society for applied mathematicians and computational scientists. SIAM members receive subscriptions to SIAM Review, SIAM News, and Unwrapped, and enjoy substantial discounts on SIAM books, journal subscrip-tions, and conference registrations.

If you are not a SIAM member and paid the Non-Member or Non-Member Mini Speaker/Organizer rate to attend the con-ference, you can apply the difference between what you paid and what a member would have paid ($130 for a Non-Member and $65 for a Non-Member Mini Speaker/Organizer) towards a SIAM membership. Contact SIAM Customer Service for details or join at the conference registration desk.

If you are a SIAM member, it only costs $10 to join the SIAM Activity Group on the Com-putational Science and Engineering (SIAG/CSE). As a SIAG/CSE member, you are eligible for an additional $10 discount on this conference, so if you paid the SIAM member rate to attend the conference, you might be eligible for a free SIAG/CSE membership. Check at the registration desk.

Free Student Memberships are available to students who attend an institution that is an Academic Member of SIAM, are members of Student Chapters of SIAM, or are nominated by a Regular Member of SIAM.

Join onsite at the registration desk, go to www.siam.org/joinsiam to join online or download an application form, or contact SIAM Cus-tomer Service Telephone: +1-215-382-9800 (worldwide); or 800-447-7426 (U.S. and Canada only) Fax: +1-215-386-7999 E-mail: [email protected] Postal mail: Society for Industrial and Applied Mathematics, 3600 Market Street, 6th floor, Philadelphia, PA 19104-2688 USA

Standard Audio/Visual Set-Up in Meeting Rooms SIAM does not provide computers for any speaker. When giving an electronic presenta-tion, speakers must provide their own comput-ers. SIAM is not responsible for the safety and security of speakers’ computers.

The Plenary Session Room will have two (2) screens, one (1) data projector and one (1) overhead projector. Cables or adaptors for Apple computers are not supplied, as they vary for each model. Please bring your own cable/adaptor if using a Mac computer.

All other concurrent/breakout rooms will have one (1) screen and one (1) data projec-tor. Cables or adaptors for Apple computers are not supplied, as they vary for each model. Please bring your own cable/adaptor if using a Mac computer. Overhead projectors will be provided for any presenter that ordered one in advance as requested in the acceptance notification.

If you have questions regarding availability of equipment in the meeting room of your presentation, please see a SIAM staff member at the registration desk.

E-mail AccessA limited number of e-mail stations are avail-able in Room 255 during registration hours. Wireless email access is available throughout the Salt Palace for all conference attendees.

Registration Fee Includes• Admission to all technical sessions• Business Meeting (open to SIAG/CSE

members)

• Coffee breaks daily

• Poster Session and Dessert Reception

• Room set-ups and audio/visual equipment

• Welcome Reception (held at the Hilton Hotel)

In addition, the following events are available to attendees at no additional cost. The events are subsidized by SIAM and are not covered by the registration fees.

• Career Fair

• Champagne Toast at the Welcome Reception

• Professional Development Evening


Table Top DisplaysEDP Sciences

Intel

IOS Press

PIC Math

Princeton University Press

SIAM

Springer

The Berkeley MFE

Name BadgesA space for emergency contact information is provided on the back of your name badge. Help us help you in the event of an emergency!

Comments?Comments about SIAM meetings are encouraged! Please send to: Cynthia Phillips, SIAM Vice President for Programs ([email protected]).

Get-togethers • Welcome Reception

Friday, March 13, 6:00-8:00 PM

Hilton Salt Lake City Center 255 South West Temple Salt Lake City, UT 84101

• Poster Session & Reception Sunday, March 15, 4:30-6:30 PM

• Poster Session & Reception Monday, March 16, 4:30-6:30 PM

Please NoteSIAM is not responsible for the safety and security of attendees’ computers. Do not leave your personal electronic devices unattended. Please remember to turn off your cell phones and other devices during sessions.

Recording of PresentationsAudio and video recording of presentations at SIAM meetings is prohibited without the written permission of the presenter and SIAM.

Social MediaSIAM is promoting the use of social media, such as Facebook and Twitter, in order to enhance scientific discussion at its meetings and enable attendees to connect with each other prior to, during and after conferences. If you are tweeting about a conference, please use the designated hashtag to enable other attendees to follow the conversation and to allow better archiving of our conference discussions. The hashtag for this conference is #SIAMCSE15.

SIAM 2015 Events Mobile App Scan the QR code with any QR reader and download the TripBuilder EventMobile™ app to your iPhone, iPad, iTouch or Android mobile device. You can also visit www.tripbuilder.com/siam2015events

The SIAM 2015 Events Mobile App Powered by TripBuilder® To enhance your conference experience, we’re providing a state-of-the-art mobile app to give you important conference information right at your fingertips. With this TripBuilder EventMobile™ app, you can:

• Create your own custom schedule• View Sessions, Speakers, Exhibitors

and more• Take notes and export them to your

email• View Award-Winning TripBuilder

Recommendations for the meeting location

• Get instant Alerts about important conference info

Job PostingsPlease check with the SIAM registration desk regarding the availability of job postings or visit http://jobs.siam.org.

Important Notice to Poster PresentersPoster presenters may set-up their posters between 3:00-5:00 PM on Saturday, March 14. Posters should be set up by 8:00 AM on Sunday, March 15, 2015. Presenters are expected to stand by their posters during their assigned session. Posters should remain on display through 6:30 PM on Monday, March 16, 2015 (two full days). Posters must be removed between 6:30 PM on Monday, and 12:30 PM on Tuesday. Unclaimed posters will be discarded.

SIAM Books and JournalsDisplay copies of books and complimentary copies of journals are available on site. SIAM books are available at a discounted price during the conference. The books table will close at 1:00 PM on Wednesday, March 1.

“Communication Doctors”: Get your Research Communication Ready for the PressHave a significant research project that you absolutely love, but begin to see people’s eyes glaze over every time you start to talk about it? Visit the “Communication Doctors” at CSE15! During two sessions (held concurrently with the poster sessions) the “Communication Doctors”— representing mathematicians, science communicators and educators—will help make your research story media ready and public friendly. Do you have a scientific question, project or visual that you want to turn into a good story? Bring an elevator pitch, 1-3 minutes long, or a summary or visual of your research work, and the “doctors” will use a variety of skills to break it down for the lay public and media. You will also have a chance to meet and interact with science writer Flora Lichtman, whose work has appeared in the New York Times, NPR’s Science Friday, and Popular Science, among other outlets and publications.

Visit the “Communication Doctors” in Room 255 during the poster sessions between 4:30 and 6:30 PM on Sunday, March 15 or Monday, March 16.


Celebrating 15 Years of SIAM CSEOn Saturday, March 14 at 8:30 AM, join Linda R. Petzold as she examines the growth of CSE in SIAM and looks toward some of the challenges and opportunities for the future.

Prize Award CeremonyOn Tuesday, March 17, 9:00-9:30 AM the prize award ceremony will take place. The following prizes will be acknowledged and announced: SIAM/ACM Prize in Computational Science and Engineering, CSE15 Poster Prizes and the Computational Engineering (BGCE) Student Paper Prizes.

Poster Blitzes and Plenary Poster Sessions including MinisymposteriaNew this year are two plenary poster sessions featuring Minisymposteria. Minisymposteria are collections of three or more posters by different presenters grouped around a central theme.

Poster sessions will take place in Room 255 on Sunday, March 15, 4:30-6:30 PM and Monday, March 16, 4:30-6:30 PM. Both sessions include Minisymposteria and general posters grouped by category. Poster Blitzes will precede each poster session at 3:40 PM in Room 355.

To ensure conference participants have ample time to view posters, presenters are requested to keep their posters on display for two full days, from 8:00 AM Sunday, March 15 through 6:30 PM Monday, March 16. Presenters are expected to stand by their posters during their assigned session.

Food and beverage will be provided and posters will be reviewed for poster prizes! These sessions provide a great opportunity to network and are a great prelude to dinner in downtown Salt Lake City!


To Our Conference Sponsors,

Thank You!

Welcome Reception

Student Careers Panel

Gold sponsor

Academic sponsor

General sponsor

Gold sponsor


Invited Plenary Speakers

** All Invited Plenary Presentations will take place in the Salt Palace Convention Center – Room 355, Level 3**

Saturday, March 149:00 AM - 9:45 AM

IP1 Graph Data Analytics at Scale: Opportunities and ChallengesNagiza Samatova, North Carolina State University and Oak Ridge National Laboratory, USA

1:30 PM - 2:15 PM IP2 Model Reduction - Trouble with Scales?

Wolfgang Dahmen, RWTH Aachen, Germany

Sunday, March 158:15 AM - 9:00 AM

IP3 Petascale Finite Element Simulation of Real World’s Complex Structure with Billions DOFs Model

Shinobu Yoshimura, University of Tokyo, Japan

11:20 AM - 12:05 PM IP4 Extreme-scale Multigrid in Space and Time

Robert Falgout, Lawrence Livermore National Laboratory, USA


Invited Plenary Speakers

** All Invited Plenary Presentations will take place in the Salt Palace Convention Center – Room 355, Level 3**

Monday, March 168:15 AM - 9:00 AM

IP5 Statistical and Computational Challenges of Constraining Greenhouse Gas BudgetsAnna Michalak, Carnegie Institution for Science and Stanford University, USA

11:20 AM - 12:05 PM IP6 Scaling Open Systems for Future Computational Challenges

Will Schroeder, Kitware, Inc., USA

Tuesday, March 178:15 AM - 9:00 AM

IP7 A Calculus for the Optimal Quantification of UncertaintiesHouman Owhadi, California Institute of Technology, USA

11:50 AM - 12:35 PM IP8 The Power of Matrix and Tensor Decompositions in Smart Patient Monitoring

Sabine Van Huffel, Katholieke Universiteit Leuven, Belgium

Wednesday, March 188:15 AM - 9:00 AM

IP9 Implications of Numerical and Data Intensive Technology Trends on Scientific Visualization and Analysis

James Ahrens, Los Alamos National Laboratory, USA


Symposium

Saturday, March 14

NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science

Part I (MS14): 10:15-11:55 AM

Part II (MS40): 2:25-4:05 PM

Part III (MS65): 4:35-6:15 PM

Room: 251 EThe materials science community has embarked on various large-scale computational projects. We mention the materials

genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials.

These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art

in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Divi-

sion of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are

encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.).

The speakers in this symposium will highlight opportunities for joint research projects.

Organizer: Hans G. Kaper, Argonne National Laboratory and Georgetown University, USA

Speakers:

MS14

Kaushik Bhattacharya, California Institute of Technology, USA

Carme Calderer, University of Minnesota, USA

George Crabtree, Argonne National Laboratory, USA

Marta Lewicka, University of Pittsburgh, USA

MS40

Robert V. Kohn, Courant Institute of Mathematical Sciences, New York University, USA

Monica Olvera De La Cruz, Northwestern University, USA

Michael Falk, Johns Hopkins University, USA

Long-qing Chen, Pennsylvania State University, USA

MS65

Richard James, University of Minnesota, USA

Sadasivan Shankar, Harvard University, USA

Michael S. Vogelius, Rutgers University, New Brunswick, USA

Mary Galvin-Donoghue, National Science Foundation, USA


Minitutorials

Sunday, March 15

Minitutorial: Python Visual Analytics for Big Data

Part I: 9:10 AM - 10:50 AM

Part II: 1:30 PM - 3:10 PM

Room: 355Python is a powerful development, computational, and programming environment due to the wide variety of libraries de-

veloped for it, and importantly, the enthusiastic, active development and user community. One of the areas where Python

excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual

analytics. This tutorial will cover the following big-data visualization capabilities in Python: interactive plotting with IPy-

thon, matplotlib, and databases, building web visualizations with Bokeh, and Python integration with VTK and ParaView.

Additional information will be provided on mapreduce and NoSQL capabilities. This tutorial is intended for intermediate-

level participants who have a basic understanding of the Python language and development environment (i.e., the student

ought to have an understanding of native (and ideally numpy) data structures, file I/O, and is able to develop and run

simple programs).

Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and program

execution will not be covered in this tutorial.

Organizer: Jonathan Woodring, Los Alamos National Laboratory, USA

Speakers: Joseph Cottam, Indiana University, USA

Jonathan Woodring, Los Alamos National Laboratory, USA

Andy R. Terrel, Continuum Analytics, USA

Patrick O’Leary, Kitware, Inc., USA

Tuesday, March 17

Minitutorial: Lab Skills for Scientific ComputingPart I: 2:15 PM - 3:55 PM

Part II: 4:25 PM - 6:05 PM

Room: 355

The Software Carpentry project (http://software-carpentry.org) has been teaching basic computing skills to scientists and

engineers since 1998. This minitutorial will introduce the tools and techniques that have proven most useful, and show

how integrating them can help researchers get more done in less time, and with less pain. This two-part minitutorial will

introduce several widely-used practices in software development, explore the empirical evidence showing their benefits (or

in some cases the lack thereof), and describe how researchers and research teams can adopt them. Some of the work will

be hands-on, so participants are strongly urged to bring a laptop. Warning: real-world examples may be used.

Organizer and speaker: Greg Wilson, Mozilla Foundation, USA


Featured MinisymposiaSaturday, March 14

MS27 Featured Minisymposium: Fast Multipole Methods Maturing at 30 Years2:25 PM - 4:05 PM Room: 355In the last five years or so, research on fast multipole methods has been buzzing and it seems that finally this “top-10” algorithm may be reaching its potential. The mathematicians have always continued making progress and improvements, but lately we see many developments in the computer science aspects of implementing the algorithm with high performance, and the applications arena. This featured minisymposium will present leaders in the field discussing the most resent advances and giving perspectives for the future. It will complement several regular minisymposia being presented at the conference.

Organizer: Lorena A. Barba, George Washington University, USASpeakers: Lorena A. Barba, George Washington University, USA George Biros, University of Texas at Austin, USA Richard Vuduc, Georgia Institute of Technology, USA Lexing Ying, Stanford University, USA

MS52 Featured Minisymposium: Modeling and Computing Complex Flows4:35 PM - 6:15 PM Room: 355Computation of unsteady multifluid flows is one of the more challenging problems in computational science. Nevertheless, consider-able progress has been made in the development of numerical methods to follow the convoluted motion of complex interfaces sepa-rating different fluid phases, for a broad range of governing parameters. These successes are making it possible to pursue even more advanced problems, including additional physics and even large range of scales, as well as making it urgent to develop sophisticated models that take advance of the new data. In this minisymposium we will explore the state of the art and discuss future challenges.

Organizer: Gretar Tryggvason, University of Notre Dame, USASpeakers: Gretar Tryggvason, University of Notre Dame, USA Marianne M. Francois, Los Alamos National Laboratory, USA Marcus Herrmann, Arizona State University, USA Olivier Desjardins, Cornell University, USA

Sunday, March 15

MS104 Featured Minisymposium: Distributed Methods for Optimization1:30 PM - 3:10 PM Room: 355 ARecent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand for distributed optimization problems with huge data sets. The resulting optimization problems are characterized by distributed and uncertain information, necessitating computations to be done in a non-traditional environment, with imperfect information, over a communication network, and most importantly without a central entity that has an access to the whole information. This minisympo-sium focuses on most recent optimization techniques dealing with large data sets and distributed components over possibly uncertain networks.

Organizer: Wotao Yin, University of California, Los Angeles, USASpeakers: Angelia Nedich and Alexander Olshevsky, University of Illinois at Urbana-Champaign, USA Wotao Yin, University of California, Los Angeles, USA Ermin Wei, Massachusetts Institute of Technology, USA Mengdi Wang, Princeton University, USA


Featured MinisymposiaMonday, March 16

MS156 Featured Minisymposium: Physics-compatible Numerical Methods1:30 PM - 3:10 PM Room: 355 Recent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand Physics-compatible numerical methods are methods that aim to preserve key mathematical and physical properties of continuum physics models in their finite-dimensional algebraic representations. They include methods which preserve properties such as energy, monotonicity, maximum principles, symmetries, and involutions of the continuum models. Examples are mimetic methods for spatial discretizations, variational and geometric integrators, conservative finite-volume and finite- element methods, etc. Research on phys-ics-compatible numerical methods is rapidly becoming a major research thrust across multiple disciplines within the broader area of computational science and engineering. Our principal goal in arranging this minisymosium is to give samples of this flourishing field.

Organizer: Mikhail Shashkov, Los Alamos National Laboratory, USASpeakers: Mikhail Shashkov, Los Alamos National Laboratory, USA Jim E. Morel, Texas A&M University, USA Allen C. Robinson, Sandia National Laboratories, USA Andrew J. Barlow, Atomic Weapons Establishment, United Kingdom

Tuesday, March 17

MS182 Featured Minisymposium: CSE Software10:00 AM - 11:40 AM Room: 355 AThis featured minisymposium reflects recent progress with tools and techniques for developing, adapting, using, and testing CSE software. The first talk addresses an eco system of computational tools for increased efficiency and reliability of scientific workflows. The next talk presents a software framework in C++, MOOSE, which simplifies building advanced multiphysics models. Another talk explains how domain specific languages for PDEs in Python allow automatic generation of adjoint models in C++ with high perfor-mance. Finally, the recent Julia language is presented, which combines the expressiveness and convenience of MATLAB/Python with the speed of Fortran/C.

Organizer: Hans Petter Langtangen, Simula Research Laboratory and University of Oslo, Norway Speakers: Derek R. Gaston, Idaho National Laboratory, USA Patrick E. Farrell, University of Oxford, United Kingdom Stephan Karpinski, Massachusetts Institute of Technology, USA Fernando Perez, University of California, Berkeley, USA

Wednesday, March 18

MS255 Featured Minisymposium: Big Data Analytics10:55 AM - 12:35 PM Room: 355Big data analytics has become a new paradigm for decision making and knowledge discovery. This minisymposium highlights four major topics, urban, graph, biomedical, and scientific data analytics in this area. Urban data analytics harvest the vast amount of data collected from smart devices and networks to improve the life of citizens. Graphs are used to model relationships between entities and hence play a central role in big data analytics. Biomedical data analytics use data-driven approaches to enable discovery and find new medical cures. Scientific data analytics assists scientists to extract knowledge from simulations aiming to solve grand challenge problems.

Organizer: Han-Wei Shen, The Ohio State University, USA Speakers: Claudio T. Silva, New York University, USA Miriah Meyer, University of Utah, USA Peterka Tom, Argonne National Laboratory, USA Han-Wei Shen, The Ohio State University, USA


Panels

Saturday, March 14

12:15 PM - 1:30 PM Student Careers Panel Sponsored by KAUSTRoom: 355 DThe panelists will present an overview of careers in CSE in Academia, Industry and National Laboratories. The session will begin with brief presentations by the panelists, followed by an open discussion and question period with students in the audience. Lunch will be provided. Attendance is limited to current undergraduate and graduate students. Advance sign up is requested during the registration process. If you did not register, but wish to attend, please see a SIAM staff member at the Registration Desk.Organizers: Evrim Acar, University of Copenhagen, Denmark William G. Kolata, SIAM, USA Patrick O’Leary, Kitware, Inc., USAPanelists: Tom Grandine, The Boeing Company, USA David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia Cynthia Phillips, Sandia National Laboratories, USA Jeffrey Saltzman, AstraZeneca, USA

Sunday, March 15

Ask The Program Manager: Funding12:15 PM - 1:30 PMRoom:355 DProgram managers from government agencies receive many requests for research funding. What are they really seeking? What makes a research proposal stand out? How can you build a research program that is attractive to these agencies? How can you conduct your research to make the biggest impact and increase your chances of future funding? What opportunities are presently available? We address all these questions and more as a part of this panel discussion. Organizers: Hank Childs, Lawrence Berkeley National Laboratory and University of Oregon, USA Vincent Heuveline, Heidelberg University, GermanyPanelists: To Be Announced

Monday, March 16

The Future of CSE as a Discipline12:15 PM - 1:30 PMRoom:355 DOver the past two decades Computational Science and Engineering (CSE) has penetrated the academy, with prominent roles in advancing research and providing interdisciplinary education. However, a combination of disruptive developments -- including extreme-scale computing, big data, and a significant diversification of the applications of CSE in science, technology, and society -- is redefining the scope and reach of CSE. This forward-looking panel will explore the future of CSE in a broad academic context. What new “grand challenges” may drive progress in CSE? How can CSE shape the future of new application fields such as computational medicine and biology, computational geoscience, and materials science? Are there opportunities to extend CSE to new areas such as social network analysis, cybersecurity and the social sciences, with mathematics-based large-scale computing rapidly becoming of crucial importance in almost all areas of society? Is the CSE paradigm and focus sufficiently unique and significant to warrant separate programs, graduate degrees, academic departments, and funding streams?

Organizer: David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

Panelists: Lorena A. Barba, George Washington University, USA Wolfgang Marquardt, RWTH Aachen University, Germany J. Tinsley Oden, University of Texas at Austin, USA Padma Raghavan, Pennsylvania State University, USA Ed Seidel, University of Illinois at Urbana-Champaign, USA


Panels

Tuesday, March 17

Data Science: What is It and How to Teach It12:45 PM - 2:15 PM Room:355 ARecently, the term Big Data has become ubiquitous. People who can wrangle Big Data are called Data Scientists. According to a num-ber of sources, there is a growing need for people trained as Data Scientists. But what is Data Science? Is Data Science its own field or is it an interdisciplinary mix of Computer Science, Mathematics and Statistics, and Domain Knowledge or perhaps it is really what Statisticians have been doing all along? Since data science at scale involves large-scale computation, what is the relation between data science and computational science in research and education? This panel features leaders in Data Science and Computational Science to discuss the current and future status of Data Science, its relationship to Computational Science, opportunities for Data and Compu-tational Scientists and educating future Data Scientists. Organizers: Christopher Johnson, University of Utah, USA Jeff Phillips, University of Utah, USAPanelists: To Be Announced

Thinking of Writing a Book?12:45 PM - 2:15 PMRoom:355 D

Ever thought about writing a book? Ever wondered just what that entails? This session brings together successful authors and publish-ing staff to discuss the process. Topics of interest will include: • Why and when you should consider writing a book • A step-by-step description of the process, from initial idea to published book • How to choose a publisher • The author/publisher relationship – who does what • Pitfalls to avoid • Tips from successful authors Even if you aren’t currently thinking of becoming an author, this session promises to be lively and engaging!

Organizer: Nicholas J. Higham, University of Manchester, United Kingdom

Panelists: Daniela Calvetti, Case Western Reserve University, USA Eldad Haber, University of British Columbia, Canada Ralph C. Smith, North Carolina State University, USA Elizabeth Greenspan, SIAM, USA David Marshall, SIAM, USA


Career Fair: Alternatives to Academia

Saturday, March 14

Session 1 10:15-11:55 AMSession 2 2:25-4:05 PMSession 3 4:35-6:05 PMRoom: 255

The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.

The career fair will feature one morning and two afternoon sessions during which you will have the opportunity to speak with the representatives of the participating organizations. In addition to these sessions, there will be Student Careers Panel over lunch and Professional Development sessions and reception in the evening.

SIAM is pleased to share the list of organizations that will participate. This list is current at time of printing. The most up to date list of participants can be found at http://www.siam.org/meetings/cse15/career.php.

• Argonne National Laboratory• Boeing• Hewlett-Packard Laboratories • Kitware• Lawrence Berkeley National Laboratory• Lawrence Livermore National Laboratory • MathWorks• MIT Lincoln Laboratory• National Institute of Standards & Technology• NSA• NVIDIA• Oak Ridge National Laboratory• Quantlab


Professional Development Evening

Saturday, March 14

Interdisciplinary Research: Challenges and Opportunities

6:30 -9:30 PM

Room: 355D

6:30 PM - 7:30 PM

Getting Started with Interdisciplinary Research

Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, train-ing opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics.

The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session.

Organizers: Maria Emelianenko, George Mason University, USA Cammey Cole Manning, Meredith College, USA Sven Leyffer, Argonne National Laboratory, USA Panelists: Richard Braun, University of Delaware, USA Thomas A. Grandine, The Boeing Company, USA C.T. Kelley, North Carolina State University, USA Carol S. Woodward, Lawrence Livermore National Laboratory, USA 7:30 PM - 8:30 PM Networking Reception

8:30 PM - 9:30 PM Interdisciplinary Research: Sustaining a Successful Program

Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, train-ing opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics.

The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session.

Organizers: Maria Emelianenko, George Mason University, USA Cammey Cole Manning, Meredith College, USA Sven Leyffer, Argonne National Laboratory, USA

Panelists: Fariba Fahroo, Air Force Office of Scientific Research, USA Omar Ghattas, University of Texas at Austin, USA Jeffrey A. Hittinger, Lawrence Livermore National Laboratory, USA Wil Schilders, Eindhoven University of Technology, Netherlands


Student DaysOrganized by the SIAM Education Committee, Chaired by Rachel Levy, Harvey Mudd College

This annual event is being held at CSE15 because there is no 2015 Annual Meeting. Student Days are for students and about students. Organizers have arranged for activities and sessions where students can meet with both peers and professionals in their field, participate in a career fair, attend an information session on hot areas for jobs and research, and network with SIAM Student Chapters from all over the world.

GoalsOrganized by the SIAM Education Committee (Chaired by Rachel Levy, Harvey Mudd College), Student Days are designed to encourage student participation in SIAM, help students learn more about applied mathematics and computational science as both fields of study and as careers, and provide a forum for emerging mathematicians to learn about their field from professionals. Organizers also hope to encourage those in the learning community to establish new student chapters of SIAM and to promote interaction between students and SIAM leadership.

Events and HappeningsActivities that will enhance the meeting for students include a special orientation prior to Friday’s Welcome Reception, a career panel and full day career fair featuring non-academic employers on Saturday, professional development sessions and reception Saturday evening, presentations by student chapter representatives on Sunday, a student lounge, sessions on Undergraduate Research on Monday, poster blitz and posters sessions on Monday and Tuesday, and a session for students with selected conference invited speakers on Tuesday.

Student Days Schedule and Other Activities of Interest to StudentsFRIDAY, MARCH 13 5:00 PM - 6:00 PM Student Orientation (Hilton Hotel)6:00 PM - 8:00 PM Welcome Reception (Hilton Hotel)

SATURDAY, MARCH 14 8:15 AM - 8:30 AM Opening remarks 8:30 AM - 9:00 AM Celebrating 15 years of SIAG/CSE 10:15 AM - 11:55 AM Career Fair 12:15 PM - 1:30 PM PD1 Student Careers Panel lunch 2:25 PM - 4:05 PM Career Fair 4:35 PM - 6:15 PM Career Fair 6:30 PM - 7:30 PM Professional Development session: Getting Started with Interdisciplinary Research 7:30 PM - 8:30 PM Professional Development reception 8:30 PM - 9:30 PM Professional Development session: Interdisciplinary Research: Sustaining a Successful Program

SUNDAY, MARCH 15 7:00 AM - 8:00 AM Student Chapter meeting with SIAM Leadership (by invitation only) 9:30 AM - 4:30 PM Visit the student lounge in Room 255 9:10 AM - 10:50 PM MS94 Student Days: SIAM Student Chapter Presentations - Part I of II1:30 PM - 3:10 PM MS119 Student Days: SIAM Student Chapter Presentations - Part II of II 3:10 PM - 4:30 PM Poster Blitz 4:30 PM - 6:30 PM Poster Session

MONDAY, MARCH 16 9:10 AM - 10:50 AM MS146 Student Days: Undergraduate Sessions - Part I of II 9:30 AM - 4:30 PM Visit the student lounge in Room 255 1:30 PM - 3:10 PM MS172 Student Days: Undergraduate Sessions - Part II of II 3:10 PM - 4:30 PM Poster Blitz 4:30 PM - 6:30 PM Poster Session

TUESDAY, MARCH 17 10:00 AM - 11:40 AM MS198 Student Days: Combining Disciplines, Techniques, Faculty and Students to Tackle Protein Folding 4:25 PM - 6:05 PM MS247 Student Days: An Informal Meeting with invited speakers


Workshop Celebrating DiversityOrganizers: Raegan Higgins, Texas Tech University, USA Susan E. Minkoff, University of Texas at Dallas, USA Stephen A. Wirkus, Massachusetts Institute of Technology, USA

This annual event is being held at CSE15 this year because there is no 2015 Annual Meeting. The Workshop provides a chance for students to listen to technical talks presented by minority graduate students. The workshop is intended to accomplish sev-eral goals:

To send a clear, explicit message of enthusiastic welcome and support from SIAM to members of underrepresented groups. The workshop is deliberately held as part of a regular SIAM meeting so that the participants can combine the experiences of attending a regular scientific meeting and a special occasion dedicated to them.

To bring together a mixture of people from different levels of age and professional experience, ranging from under graduate students to senior scientists.

To provide an opportunity for minority graduate students to present their research.

To provide an informal, comfortable setting (a lunch) where all the students can meet applied and computational mathematicians with a wide variety of jobs in academia, national laboratories, industry, and government.

SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of the Workshop Celebrating Diversity.

Workshop Celebrating Diversity Sessions

MS86 Computational Advances in Energy ResearchMS113 Fluid Transport Dynamics in Biology and MedicineMS140 Modern Computational Modeling in FluidsMS166 Computational Science for Current Multidisciplinary Research ProblemsMS192 The System Dynamics of Social and Health Processes using Quantitative Data Sciences MethodsMS216 Water Resources Management: How to Add it All Up

Association for Women in Mathematics (AWM) Workshop

The Workshop for Women Graduate Students and Recent P.h.D.’s. Please visit http://www.awm-math.org/workshops.html for more information.

AWM SessionsMS13 Career Development: Celebrating Firsts - Lessons from Trailblazers, First Ones, and Only OnesMS39 Career Development: Celebrating Firsts - Panel and RoundtableMS89 Research Talks by Recent Ph.D’s: Mathematical Modeling and High-Performance Computing for Multiscale and Multiphysics Problems - Part I of IIMS114 Research Talks by Recent Ph.D.s: Mathematical Modeling and High-performance Computing for Multi-physics and Multi-scale Problems. Part II of IIPP8 AWM Poster Session (Sunday)


Mentoring Program

SIAM CSE15 - Broader Engagement Pilot Mentoring ProgramThe Society of Industrial and Applied Mathematics (SIAM) and Sustainable Horizons Institute are pleased to announce a pilot mentoring program at the 2015 SIAM Conference on Computational Science and Engineering (CSE15). CSE15 is planning a variety of activities to celebrate and sup-port a diverse community. These activities include the Workshop Celebrating Diversity, Professional Development Evening, Association of Women in Mathematics activities, Student Days, Student Careers Panel, and Job Fair. In addition, there will be a mentoring program for a small cohort of CSE15 students, faculty, and professionals.

Mentor Protégé Program at CSE15There is irrefutable and growing evidence that mentoring promotes academic and career success, especially among those traditionally underrepre-sented in CSE. Our vision for the Mentor Protégé program is to influence career and professional development long after the conference concludes. The CSE15 Mentor Protégé program includes the following components:• A limited number of Protégés will be recruited from the Workshop Celebrating Diversity and other conference attendees.• Mentors will be recruited from CSE15 attendees and others known to be active in the SIAM and Broader Engagement (BE) communities.• A brief welcome and orientation for Protégés will occur on Friday, March 13, 2015 (Hilton Hotel, Room: Canyon A/B).• An initial mentor-protégé introduction/mixer will occur Saturday March 14, 2015 (Salt Palace Convention Center, Room 255).• A mentoring activity will occur during the Workshop Celebrating Diversity luncheon on Tuesday, March 17, 2015.

Benefits• Protégés will benefit from the opportunity to connect with seasoned professionals, get advice, and explore their questions about academic,

career, and professional pathways.• Mentors will benefit from the opportunity to give back to the community, influence others, and discover and share their own techniques and

aspirations.

Mentor Protégé Matching Process and ResponsibilitiesMentors and Protégés will be matched utilizing demographic and other information about scientific, professional, and personal interests. Mentor-Protégé pair introductions will occur electronically prior to the conference and in-person during the first event on Saturday.

Mentors and Protégé responsibilities include participation in the introduction event on Saturday and the luncheon activity on Tuesday. Optional ad-ditional activities will be suggested, such as mentors’ agenda review and session recommendations for their protégés to consider, joint attendance, one-on-one meetings, and continued contact after the conference.

Mentor Protégé Tuesday Lunch ActivityThe Workshop Celebrating Diversity luncheon will provide an excellent opportunity to formally discuss mentoring, suggest activities, and help to establish meaningful mentoring relationships. The luncheon will include a mentoring workshop based on the “Pathways to Success” Workshop: exploring challenges and identifying resources to help people create a vision of success for themselves. If you have any questions about the Mentoring Program, contact: Mary Ann Leung, [email protected].


Program Schedule


Saturday, March 14

Registration7:15 AM-5:00 PMRoom:East Foyer

Opening Remarks8:15 AM-8:30 AMRoom:355

Friday, March 13

Registration1:00 PM-5:00 PMRoom:East Foyer

Mentoring Session4:00 PM-5:00 PM

Room:Hilton Hotel - Canyon AB

Student Orientation5:00 PM-6:00 PM

Room:Hilton Hotel - Topaz

Welcome Reception6:00 PM-8:00 PMRoom:Hilton Hotel - Grand Ballroom

Saturday, March 14

SP1Celebrating 15 Years of SIAM CSE8:30 AM-9:00 AMRoom:355

Chair: Christopher Johnson, University of Utah, USA

There can be no doubt that SIAM CSE has been a big success! We examine the growth of CSE in SIAM, and more broadly as a discipline, and look toward some of the challenges and opportunities for the future.

Linda R. Petzold, University of California, Santa Barbara, USA


Saturday, March 14

MS1Network Science10:15 AM-11:55 AMRoom:355

Network science is the study of the graphs and networks that arise from current investigations in social networks, biology, power systems, information retrieval, and neuroscience. The goal of this minisymposium is to highlight new developments in this field in terms of algorithms, models, and applications. In particular, the talks will discuss understanding communication patterns in the brain via networks, statistical properties of large-scale heterogenous networks, influencing social networks, and local analysis of massive networks.

Organizer: David F. GleichPurdue University, USA

Organizer: Tamara G. KoldaSandia National Laboratories, USA

10:15-10:35 Local Methods in Network ScienceDavid F. Gleich, Purdue University, USA

10:40-11:00 Identifying the Largest Entries in Matrix MultiplicationGrey Ballard, Tamara G. Kolda, and Ali

Pinar, Sandia National Laboratories, USA; C. Seshadhri, University of California, Santa Cruz, USA

11:05-11:25 Network Science of Brain NetworksZoltan Toroczkai, University of Notre Dame,

USA

11:30-11:50 Mining Uncertain NetworksEvamaria Terzi, Boston University, USA

Saturday, March 14

IP1Graph Data Analytics at Scale: Opportunities and Challenges9:00 AM-9:45 AMRoom:355

Chair: Hans De Sterck, University of Waterloo, Canada

The four V’s of Big Data necessitate fundamentally different data analytics. A promising strategy toward understanding of a complex system’s dynamics and function aims to extract features and relationships between them and to analyze how their evolution causes different functional system responses. Discovery and forecasting of patterns in such feature graphs can provide insights about the vulnerability of our nation’s energy infrastructure to disturbances, the spread of a cyber-security attack, or the anomalies in internode communication in high performance systems. This talk will present some opportunities and challenges in using this strategy for computational science and engineering applications.

Nagiza SamatovaNorth Carolina State University and Oak Ridge National Laboratory, USA

Coffee Break9:45 AM-10:15 AMRoom:255

Saturday, March 14

MS2Data-methods for Complex Systems - Part I of III10:15 AM-11:55 AMRoom:355 A

For Part 2 see MS28 Data-driven methods are transforming the engineering, physical and biological sciences. Indeed, innovative uses of machine learning, dimensionality reduction, sparse sensing, and/or network characterization techniques are allowing for significant advances in engineering designs for the prediction and control of highly complex, often networked, systems. This minisymposium brings together experts who are integrating together one or more of the aforementioned methodologies with the goal of providing transformative analytic tools and algorithms for characterizing the underlying, low-dimensional, dynamics of the complex system.

Organizer: J. Nathan KutzUniversity of Washington, USA

Organizer: Steven BruntonUniversity of Washington, USA

Organizer: Joshua ProctorInstitute for Disease Modeling, USA

10:15-10:35 Self-Tuning Complex SystemsJ. Nathan Kutz, University of Washington,

USA

10:40-11:00 Cluster-based Reduced-order Modelling: From Shear Flows to Engine Tumble MotionEurika Kaiser, Bernd R. Noack, and Laurent

Cordier, CNRS, France; Andreas Spohn, ENS, France; Marc Segond and Markus W Abel, Ambrosys GmbH, Germany; Guillaume Daviller, CERFACS, France; Jan Östh and Sinisa Krajnovic, Chalmers University of Technology, Sweden; Yujun Cao and Jacques Boree, ENSMA, France; Robert K. Niven, University of New South Wales, Australia; Louis N. Cattafesta, Florida State University, USA

continued on next page


Saturday, March 14

MS2Data-methods for Complex Systems - Part I of III10:15 AM-11:55 AMcontinued

11:05-11:25 The Impact of L1 optimization in Nonlinear PDEStanley J. Osher, University of California, Los

Angeles, USA

11:30-11:50 Title Not Available at Time of PublicationRichard G. Baraniuk, Rice University, USA

Saturday, March 14

MS3Geometric Methods for Graph Partitioning - Part I of II10:15 AM-11:55 AMRoom:355 D

For Part 2 see MS29 The graph partitioning problem of finding meaningful clusters in a dataset has a variety of important applications in areas such as machine learning, image analysis, and topic modeling. A variety of new methods have recently been introduced based on ideas from geometric analysis, compressive sensing, spectral graph theory, and nonlinear partial differential equations. This minisymposium aims to bring together mathematicians and scientists working on these methods to share new results and exchange ideas.

Organizer: Braxton OstingUniversity of Utah, USA

Organizer: Dominique ZossoUniversity of California, Los Angeles, USA

10:15-10:35 Modulus of Families of Walks on GraphsNathan Albin, Kansas State University, USA

10:40-11:00 Graph Directed Topic ModelingArjuna Flenner, Naval Air Weapons Station,

USA; Cristina Garcia-Cardona, Los Alamos National Laboratory, USA

11:05-11:25 Building Graphs to Analyze Big DataBlake Hunter, Claremont McKenna College,

USA

11:30-11:50 An Incremental Reseeding Strategy for ClusteringThomas Laurent, Loyola Marymount

University, USA

Saturday, March 14

MS4Adaptive Model Order Reduction - Part I of III10:15 AM-11:55 AMRoom:250 A

For Part 2 see MS30 Classical model reduction follows a static approach where the reduced-order model is built once in the offline phase and then remains unchanged in the online phase. Adaptive model reduction breaks with this rigid splitting and adapts the reduced order model online. Such adaptive techniques include localization approaches, where one of several pre-computed local models is selected depending on the current state of the system; dictionary approaches, where the reduced basis is assembled on demand from pre-computed basis vectors; and updating methods, which incorporate new data or other information in the reduced-order model.

Organizer: Benjamin PeherstorferMassachusetts Institute of Technology, USA

Organizer: David AmsallemStanford University, USA

10:15-10:35 Online-Adaptive Reduced Bases for Parametric ProblemsBernard Haasdonk, University of Stuttgart,

Germany

10:40-11:00 Adaptive $h$-refinement for Reduced-order Models via Basis SplittingKevin T. Carlberg, Sandia National

Laboratories, USA

11:05-11:25 A Nonlinear Trust Region Framework for PDE-Constrained Optimization Using Progressively-Constructed Reduced-Order ModelsMatthew J. Zahr, University of California,

Berkeley and Stanford University, USA; Charbel Farhat, Stanford University, USA

11:30-11:50 Local/Global Model Order Reduction Techniques for FracturePierre Kerfriden, Cardiff University, United

Kingdom


Saturday, March 14

MS7Active Subspaces for Dimension Reduction: Theory and Applications - Part I of III10:15 AM-11:55 AMRoom:250 D

For Part 2 see MS33 Parameter studies like uncertainty quantification and optimization are infeasible for complex simulations with more than a handful of inputs. When a simulation contains several inputs, the engineer may seek an alternative parameterization with fewer variables to enable such studies. Active subspaces are an emerging set of tools for dimension reduction in complex models. The active subspace is a set of directions in the space of input variables that correspond to greater change, on average, in a quantity of interest. This minisymposium will explore (i) recent developments in algorithms that exploit active subspaces and (ii) applications from across engineering disciplines.

Organizer: Paul ConstantineColorado School of Mines, USA

10:15-10:35 Active Subspaces in Theory and PracticeEric Dow, Massachusetts Institute of

Technology, USA

10:40-11:00 Envelopes: Subspace Methods for Efficient Estimation in Multivariate StatisticsDennis Cook, University of Minnesota, USA

11:05-11:25 Order Determination for Dimension Reduction Using An Alternating Pattern of Spectral VariabilityBing Li and Wei Luo, Pennsylvania State

University, USA

11:30-11:50 Mathematical Foundations of Subspace SelectionsMassimo Fornasier, Technical University

of Munich, Germany; Valeriya Naumova, Simula Research Laboratory, Norway

Saturday, March 14

MS6Computational Techniques for Time Dependent Coupled Multiphysics and Multiscale Problems - Part I of III10:15 AM-11:55 AMRoom:250 C

For Part 2 see MS32 The simulation of multiphysics and multiscale systems is important for a wide range of applications including fluid structure interaction and conjugate heat transfer. Of particular interest is the formulation of solvers built by reusing codes for the various subproblems for which it is common to use ad hoc coupling or time integration schemes. This minisymposium discusses new and practical approaches to advance the state of the art, and to help bridge the gap between researchers working in the various fields. Important aspects include time adaptivity, high order methods, multirate schemes, stability, coupling conditions, and the overall solver performance.

Organizer: Jeffrey W. BanksRensselaer Polytechnic Institute, USA

10:15-10:35 Multirate GARK SchemesMichael Guenther, Bergische Universität,

Germany; Adrian Sandu, Virginia Tech, USA

10:40-11:00 The Dirichlet-Neumann Iteration and Unsteady Thermal Fluid Structure InteractionPhilipp Birken and Azahar Monge Sanchez,

Lund University, Sweden

11:05-11:25 Partitioned Fluid-Structure Interaction on Massively Parallel SystemsFlorian Lindner and Miriam Mehl,

Universität Stuttgart, Germany; Benjamin Uekermann, Technische Universität München, Germany

11:30-11:50 Multi-level Acceleration of Strongly Coupled Fluid-structure Interaction with Manifold MappingDavid Blom, Alexander H. van Zuijlen,

and Hester Bijl, Delft University of Technology, Netherlands

Saturday, March 14

MS5State-of-the-art Iterative Solvers for Inverse Problems - Part I of II10:15 AM-11:55 AMRoom:250 B

For Part 2 see MS31 Efficient linear solvers are a critical component in the large-scale implementations of algorithms for inverse problems. Examples include solvers for the Newton/Gauss-Newton step and solving the discretized PDEs which comprise the “forward problem”. This session will focus on advances in iterative solvers and preconditioners for linear and nonlinear inverse problems. Applications of the algorithms include diverse areas ranging from medical imaging to environmental sciences.

Organizer: Arvind SaibabaTufts University, USA

Organizer: Misha E. KilmerTufts University, USA

Organizer: Eric MillerTufts University, USA

10:15-10:35 A Bound-Plus-Equality Constrained Quadratic Minimization Algorithm for Inverse ProblemsJohnathan M. Bardsley, University of Montana,

USA; Marylesa Howard, National Security Technologies, LLC, USA

10:40-11:00 Statistically Motivated Preconditioners and Stopping Criteria for Biomedical Inverse Problems

Daniela Calvetti and Erkki Somersalo, Case Western Reserve University, USA

11:05-11:25 Numerical Implementation of a New Class of Forward-Backward-Forward Diffusion Equations for Image RestorationJames V. Lambers, University of Southern

Mississippi, USA; Patrick Guidotti, University of California, Irvine, USA; Yunho Kim, Ulsan National Institute of Science and Technology, South Korea

11:30-11:50 Recycling Krylov Subspaces for Parametric Linear Systems Arising from Hyperspectral Diffuse Optical TomographyArvind Saibaba, Misha E. Kilmer, and Eric

Miller, Tufts University, USA


Saturday, March 14

MS9Matrix-Free Methods for Large-Scale Optimization and Applications10:15 AM-11:55 AMRoom:250 F

For Part 2 see MS35 Many applications can be formulated as large-scale optimization problems, including inverse problems, medical and seismic imaging, classification in machine learning, data assimilation in weather prediction, and matrix decompositions. For all of them, explicit modeling is prohibitive and matrix-free methods are essential for competitive performance. First-order methods have proven widely successful in recent years. However, recent developments suggest that matrix-free second-order methods, such as interior-point methods, can be competitive. The goal of the minisymposium is to explore those ideas, compare to first-order methods, and promote further research and collaboration between the optimization and applied communities in developing large-scale matrix-free methods.

Organizer: Dominique OrbanÉcole Polytechnique de Montréal, Canada

Organizer: Aleksandr AravkinIBM T.J. Watson Research Center, USA

10:15-10:35 Matrix Free Methods for Large-Scale Nonlinear Constrained OptimizationJames V. Burke, University of Washington,

USA

10:40-11:00 Title Not Available at Time of PublicationMichael Friedlander, University of

California, Davis, USA

11:05-11:25 Anatomy of a Matrix-Free Interior-Point Solver for Convex OptimizationDominique Orban, École Polytechnique de

Montréal, Canada

11:30-11:50 Matrix-Free Interior-Point Method for Large Scale Machine Learning ProblemsAleksandr Aravkin, IBM T.J. Watson

Research Center, USA

Saturday, March 14

MS8Advances in Algorithms for Uncertainty Quantification in Large-scale Inverse Problems - Part I of III10:15 AM-11:55 AMRoom:250 E

For Part 2 see MS34 Quantification of uncertainty in large-scale inverse problems governed by partial differential equations presents significant challenges due to computationally expensive parameter-to-observable maps and high-dimensional parameter spaces. This minisymposium presents recent advances in algorithms that make UQ for large-scale linear and nonlinear inverse problems tractable by exploiting problem structure.

Organizer: Georg StadlerCourant Institute of Mathematical Sciences, New York University, USA

Organizer: George BirosUniversity of Texas at Austin, USA

Organizer: Omar GhattasUniversity of Texas at Austin, USA

Organizer: Youssef M. MarzoukMassachusetts Institute of Technology, USA

10:15-10:35 Conditions for Successful Data Assimilation in High DimensionsMatthias Morzfeld, Lawrence Berkeley

National Laboratory, USA; Alexandre Chorin, University of California, Berkeley, USA

10:40-11:00 Filtering Unstable Quadratic Dissipative SystemsKody Law, King Abdullah University of

Science & Technology (KAUST), Saudi Arabia; Andrew Stuart, Daniel Sanz-Alonso, and Abhishek Shukla, University of Warwick, United Kingdom

11:05-11:25 Ensemble Methods for Large-Scale PDE-Constrained Bayesian Inverse ProblemsKainan Wang and Tan Bui-Thanh, University

of Texas at Austin, USA

11:30-11:50 High Dimensional Non-Gaussian Bayesian Inference with Transport MapsAlessio Spantini and Youssef M. Marzouk,

Massachusetts Institute of Technology, USA

Saturday, March 14

MS10Embedded Boundary and Interface Techniques - Part I of II10:15 AM-11:55 AMRoom:251 A

For Part 2 see MS36 Many problems in science and engineering are modeled by partial differential equations (PDEs) in domains with irregular geometry and/or with interfaces. Development of special algorithms are required to restore the accuracy of the numerical schemes near arbitrary boundaries/or interfaces. Recently, much of the progress has been made for designing highly accurate and efficient numerical methods for such problems which employ only simple Cartesian grids. Developments and applications of XFEM, Immersed Interface Methods and Difference Potentials Methods, as well as open questions in the field will be discussed in details.

Organizer: Yekaterina EpshteynUniversity of Utah, USA

Organizer: Gunilla KreissUppsala University, Sweden

10:15-10:35 Difference Potentials Method for Parabolic Models in Irregular DomainsJason Albright and Yekaterina Epshteyn,

University of Utah, USA

10:40-11:00 Multidimensional Embedded Finite Difference Methods which Satisfies Energy EstimatesAdi Ditkowsky, Tel Aviv University, Israel

11:05-11:25 High-Order Accurate Difference Potentials Methods for the Stokes--Darcy ProblemYekaterina Epshteyn and Kyle R. Steffen,


11:30-11:50 High Order Cut Finite Elements MethodsAugust Johansson, Simula Research

Laboratory, Norway; Mats G. Larson, Umeå University, Sweden


Saturday, March 14

MS12Innovative Algorithms for Eigenvalue and Singular Value Decomposition - Part I of III10:15 AM-11:55 AMRoom:251 C

For Part 2 see MS38 The minisymposium will focuses on the first steps taken on the development of novel software methodologies and algorithm for the next generation of HPC systems. Some scale challenges will be addressed; the goal is to close the “application-architecture peak performance gap” by exploring algorithms and runtime improvements that will enable key science applications to better exploit the architectural features of the extreme-scale systems. The contributed talks will cover new approaches that can overcome the limitations of existing dense/sparse eigensolver libraries on platforms that require fine granularity and memory-aware computational tasks combined with asynchronism in parallel execution.

Organizer: Azzam HaidarUniversity of Tennessee, Knoxville, USA

Organizer: Piotr LuszczekUniversity of Tennessee, Knoxville, USA

Organizer: Stanimire TomovUniversity of Tennessee, Knoxville, USA

10:15-10:35 Efficient Eigensolver Algorithm on Accelerator-Based ArchitectureAzzam Haidar, Piotr Luszczek, and Stanimire

Tomov, University of Tennessee, Knoxville, USA

10:40-11:00 Towards Materials Design with Extreme-Scale Quantum SimulationsThomas C. Schulthess, Anton Kozhevnikov, and

Solcà Raffaele, ETH Zürich, Switzerland

11:05-11:25 GPGPU Acceleration of the Ams Eigensolver Using MagmaMintae Kim, Luis Crivelli, Michael Wood,

Cristian Ianculescu, and Vladimir Belsky, Dassault Systèmes, USA

11:30-11:50 High-Performance Computation of PseudospectraJack L. Poulson, Stanford University, USA

Saturday, March 14

MS13AWM Workshop - Career Development: Celebrating Firsts - Lessons from Trailblazers, First Ones, and Only Ones10:15 AM-11:55 AMRoom:251 D

For Part 2 see MS39 Sponsored by Association for Women in Mathematics (AWM)

The historical awarding of the Fields Medal to a female mathematician reminds us that women in mathematics, engineering, and science continue to break barriers and blaze trails in academia, industry, national laboratories and institutes. What does it take to be the first woman graduate or tenured professor? What does it take to be a trailblazer at the forefront of a research field? What does it take to succeed when you are the only woman in your department? These amazing individuals will share their stories, strategies, and lessons learned as we celebrate the success of past and future firsts.

Organizer: Elebeoba MayUniversity of Houston, USA

Organizer: Hoa NguyenTrinity University, USA


Speakers To Be Announced

Saturday, March 14

MS11Physics-compatible Discretization on Multiphysics Systems and Efficient Multilevel Solvers - Part I of II10:15 AM-11:55 AMRoom:251 B

For Part 2 see MS37 Design of the appropriate discretization for the PDE systems can oftentimes be done by taking into account the detailed characteristics of the PDE models in relation to the underlying Physics. In many cases, efficient multilevel iterative solvers can be developed based on such discretization. Therefore, such discretization is typically solver-friendly. The minisymposium is to disseminate the state-of-art developments in physics-compatible discretization on multi-physics systems and the corresponding efficient multilevel solvers.

Organizer: Yunrong ZhuIdaho State University, USA

Organizer: Young-Ju LeeTexas State University, USA

10:15-10:35 Robust Multilevel Preconditioners for Elliptic Problems with Discontinuous CoefficientsYunrong Zhu, Idaho State University, USA

10:40-11:00 Finite Element Multigrid Framework for Mimetic Finite Difference DiscretizationsFrancisco José Gaspar, University of

Zaragoza, Spain; Xiaozhe Hu, Tufts University, USA; Carmen Rodrigo, University of Zaragoza, Spain; Ludmil Zikatanov, Pennsylvania State University, USA

11:05-11:25 Adaptive Regularization Strategies for Nonlinear PDESara Pollock, Texas A&M University, USA

11:30-11:50 New Multigrid Methods for Saddle Point ProblemsSusanne Brenner, Louisiana State University,

USA; Hengguang Li, Wayne State University, USA; Li-yeng Sung, Louisiana State University, USA


Saturday, March 14

MS14NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science - Part I of III10:15 AM-11:55 AMRoom:251 E

For Part 2 see MS40 The materials science community has embarked on various large-scale computational projects. We mention the materials genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials. These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Division of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will will highlight opportunities for joint research projects.

Organizer: Hans G. KaperArgonne National Laboratory and Georgetown University, USA

10:15-10:35 Opportunities and Challenges in First Principles Models of MaterialsKaushik Bhattacharya, California Institute of

Technology, USA

10:40-11:00 New Liquid-Crystal Based Models and TechnologiesCarme Calderer, University of Minnesota,

USA

11:05-11:25 Opportunities in Computational Science: Genomes, Mesoscale and Closing the LoopGeorge Crabtree, Argonne National

Laboratory, USA

11:30-11:50 Problems in Pattern Formation, Geometry and Design of MaterialsMarta Lewicka, University of Pittsburgh, USA

Saturday, March 14

MS15Efficient High-order Numerical Methods for Nonlinear PDEs - Part I of II10:15 AM-11:55 AMRoom:251 F

For Part 2 see MS64 Recent years have seen growing trends in the development of efficient high-order numerical schemes for nonlinear PDEs including hyperbolic equations, Hamilton-Jacobi equations, and quantum and kinetic models. Many challenges in computational efficiency, accuracy, multi-scales, and theoretical foundations are actively addressed for various applications. This minisymposium will bring together researchers to exchange ideas and recent developments in these fields, with applications such as rarefied gas dynamics, semi-conductor simulation, optimal transportation and optimal control.

Organizer: Yingda ChengMichigan State University, USA

Organizer: Fengyan LiRensselaer Polytechnic Institute, USA

10:15-10:35 High-order Discontinuous Galerkin Methods for Some Kinetic ModelsFengyan Li, Rensselaer Polytechnic Institute,

USA

10:40-11:00 High Order Semi-Lagrangian Discontinuous Galerkin Schemes for First and Second Order PDEsOlivier Bokanowski, Université Paris-Diderot,

France

11:05-11:25 Convergence of Semi-Discrete Stationary Wigner Equation with Inflow Boundary ConditionsTiao Lu, Ruo Li, and Zhangpeng Sun, Peking

University, China

11:30-11:50 Self-Organized Hydrodynamics in An Annular Domain: Modal Analysis and Nonlinear EffectsHui Yu, Universite de Toulouse, France

Saturday, March 14

MS16Theory, Computation and Experiments in Biofluids - Part I of II10:15 AM-11:55 AMRoom:254 A

For Part 2 see MS42 Over the last two decades the study of systemic biofluids and their interactions with engineering therapeutics and implants has rapidly developed into an interdisciplinary approach of utilizing Mathematics, Bioengineering, Biomedical, and the Biological Sciences to address the complexities and challenges of this field. Eight speakers in this two part minisymposium will present their research spanning mathematical analysis, algorithm development, complex simulations of biological systems and coordination between modeling and experiments. The diversity of these presentations shows the importance of interdisciplinary research on systemic biofluids to understand its wide range of domains from basic processes of fluid dynamics to technological applications.


Organizer: John CarrolaSouthwest Research Institute, USA

10:15-10:35 Modeling Escherichia Coli Chemotaxis in a FluidHoa Nguyen, Trinity University, USA

10:40-11:00 The Role of Intraclot Transport in the Dynamics of Platelet Deposition and Coagulation Under FlowAaron L. Fogelson, University of Utah,

USA; Karin Leiderman, University of California, Merced, USA

11:05-11:25 Modeling Cardiac Electro-Fluid-Mechanical InteractionBoyce Griffith, University of North Carolina

at Chapel Hill, USA

11:30-11:50 An Integrative Model of Lamprey Locomotion Using the Immersed Boundary MethodChristina Hamlet, Tulane University, USA;

Eric Tytell, Tufts University, USA; Lisa J. Fauci, Tulane University, USA


Saturday, March 14

MS18Advanced Algorithms in Computational Electromagnetics - Part I of II10:15 AM-11:55 AMRoom:254 C

For Part 2 see MS44 The minisymposium focuses on advanced numerical algorithms and high performance simulations for electromagnetic systems, including photonics crystals, plasmonics, solar cells, and quantum electronic devices. Main topics include high-order PDE/ODE discretizations, Green function, integral equation, boundary element method, and density matrix approaches. Scalable algorithms and efficient preconditioning strategies are also discussed for solving large-scale systems on the advanced computing platforms.

Organizer: MiSun MinArgonne National Laboratory, USA

Organizer: David P. NichollsUniversity of Illinois, Chicago, USA

10:15-10:35 Fast Solvers for Wave Propagation and Scattering by General StructuresOscar P. Bruno, California Institute of

Technology, USA

10:40-11:00 Generalized Combined Sources Integral Equations for Helmholtz Transmission ProblemsCatalin Turc, New Jersey Institute of

Technology, USA

11:05-11:25 Scalable Algorithms for Density Matrix Calculations of Cavity Quantum Electrodynamic SystemsMatthew Otten, Cornell University, USA

11:30-11:50 Electromagnetic Power Absorption and Plasmon Resonances on Rough Conducting SurfacesCarlos A. Perez-Arancibia and Oscar P.

Bruno, California Institute of Technology, USA

Saturday, March 14

MS19Computational Methods for Kinetic Equations and Related Models - Part I of V10:15 AM-11:55 AMRoom:150 AB

For Part 2 see MS45 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.

Organizer: Martin FrankRWTH - Aachen University of Technology, Germany

Organizer: Cory HauckOak Ridge National Laboratory, USA

Organizer: Ryan G. McClarrenTexas A&M University, USA

Organizer: Jingmei QiuUniversity of Houston, USA

Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA

10:15-10:35 Generalized Radiative Transfer: Accounting Accurately for Unresolved Variabilities at No Computational Cost, Yet Without HomogenizationAnthony B. Davis and Feng Xu, California

Institute of Technology, USA

Saturday, March 14

MS17Parallel Programming Models, Algorithms and Frameworks for Extreme Computing - Part I of III10:15 AM-11:55 AMRoom:254 B

For Part 2 see MS43 Multicore/manycore processors and accelerators are universally available as both collections of homogeneous standard microprocessors and as attached heterogeneous co-processors. Application and library software developers may often effectively use these processors and some general approaches have emerged. It is widely recognized that careful design of software and data structures, with effective memory management, are the most critical issues to obtain scalable optimized performance on those systems. In these minisymposia we discuss current experiences and development of applications, libraries and frameworks using a variety of hardware. Speakers will address performance results and software design.

Organizer: Kengo NakajimaUniversity of Tokyo, Japan

Organizer: Michael HerouxSandia National Laboratories, USA

Organizer: Serge G. PetitonCNRS/LIFL and INRIA, France

10:15-10:35 Opportunities and Challenges in Developing and Using Scientific Libraries on Emerging ArchitecturesMichael Heroux, Sandia National

Laboratories, USA

10:40-11:00 ppOpen-APPL/HEXA: A Framework for Development of Parallel FEM/FVM Applications on Intel Xeon PhiKengo Nakajima, University of Tokyo, Japan

11:05-11:25 On First Experiments for Nuclear Engineering Applications on Intel Xeon PhiChristophe Calvin, CEA Saclay, France

11:30-11:50 Managing Portability for ASC ApplicationsJeff Keasler and Richard Hornung, Lawrence

Livermore National Laboratory, USA



Saturday, March 14

MS19Computational Methods for Kinetic Equations and Related Models - Part I of V10:15 AM-11:55 AMcontinued

10:40-11:00 Quadrature-Based Moment Methods for Radiation TransportRodney O. Fox, Iowa State University,

USA; Cory Hauck, Oak Ridge National Laboratory, USA; Ming Tse P. Laiu, University of Maryland, College Park, USA; Frederique Laurent, Ecole Centrale de Paris, France; Marc Massot, CNRS, France

11:05-11:25 Stability of PN Approximations for the Radiative Transfer Equation in the Free Streaming LimitMatthias Schlottbom, Institute for

Computational and Applied Mathematics, Germany; Herbert Egger, Technische Universität Darmstadt, Germany

11:30-11:50 On Combining Moment Methods and Discrete-Velocity-Schemes for Solving the Boltzmann EquationManuel Torrilhon, RWTH Aachen University,

Germany

Saturday, March 14

MS20Stochastic Simulation of Turbulent Flows Using One-dimensional Turbulence10:15 AM-11:55 AMRoom:150 DE

Simulation of turbulent flows is an important and challenging problem due to the wide range of length and time scales involved. One-dimensional turbulence (ODT) is a stochastic model that resolves a full range of length and time scales while remaining computationally affordable. ODT has been applied to a wide range of multiphysics problems including buoyant flows, combustion, and multiphase flows. This minisymposium presents recent advances in stochastic computational science using ODT. An overview of ODT is presented, with applications to soot formation in flames, multiphase reacting and nonreacting flows, and extension of ODT to three dimensions by coupling with large eddy simulation.

Organizer: David O. LignellBrigham Young University, USA

10:15-10:35 One-dimensional Turbulence Simulation: Overview and Application to Soot Formation in Nonpremixed FlamesDavid O. Lignell and Victoria Lansinger,

Brigham Young University, USA; John C. Hewson, Sandia National Laboratories, USA

10:40-11:00 Particle-Scalar Field Interactions in One-Dimensional TurbulenceJohn C. Hewson, Sandia National

Laboratories, USA; Guangyuan Sun and David O. Lignell, Brigham Young University, USA

11:05-11:25 Multiphase Turbulent Reacting Flow Simulations Using ODTJames C. Sutherland and Babak Goshayeshi,


11:30-11:50 ODTLES: A Multiscale Approach for Highly Turbulent FlowsChristoph Glawe, Technical University

Cottbus, Germany; Heiko Schmidt, Brandenburgische Technische Universität Cottbus, Germany; Alan Kerstein, Consultant, USA

Saturday, March 14

MS21Career Fair: Alternatives to Academia - Part I of III10:15 AM-11:55 AMRoom:255

For Part 2 see MS47 The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.

Organizer: William G. KolataSIAM, USA

Organizer: Kristin O’NeillSIAM, USA

This is the most current list at time of printing.• Argonne National Laboratory

• Boeing

• Hewlett-Packard Laboratories

• Kitware

• Lawrence Berkeley National Laboratory

• Lawrence Livermore National Laboratory

• MathWorks

• MIT Lincoln Laboratory

• National Institute of Standards & Technology

• NSA

• NVIDIA

• Oak Ridge National Laboratory

• Quantlab

The most current list of participating companies is available at www.siam.org/meetings/cse15/career.php.


Saturday, March 14

MS22Computational Methods for Periodic Flows and their Applications10:15 AM-11:55 AMRoom:260 A

Many biological and physical flows at low-Reynolds number exhibit periodic behavior. One modeling approach to investigate these flows is the use of periodic Green’s functions, or, the periodic summation of the corresponding Green’s functions in free space. While simple in concept, the practical computation of periodic Green’s functions is nontrivial since brute force summation can lead to divergent or slowly convergent sums. To make numerical computation feasible, other approaches such as Ewald summation methods must also be applied.The aim of this minisymposium is to share insight into computational methods for periodic flows and their applications.

Organizer: Hoang-Ngan NguyenUniversity of California, Merced, USA

Organizer: Karin LeidermanUniversity of California, Merced, USA

10:15-10:35 Computation of the Regularized Image Systems for Doubly-Periodic Brinkman Flow in the Presence of a WallHoang-Ngan Nguyen and Karin Leiderman,

University of California, Merced, USA

10:40-11:00 Accelerated Boundary Integral Simulations for Fluid-Structure Interactions in Periodic Stokes FlowAnna-Karin Tornberg, KTH Royal Institute of

Technology, Sweden

11:05-11:25 A Numerical Method for Doubly-Periodic Stokes Flow Near a WallFranz M. Hoffmann, Tulane University, USA

11:30-11:50 Cilia Beating Patterns are not Hydrodynamically OptimalHanliang Guo, University of Southern

California, USA; Janna C. Nawroth, Harvard University, USA; Yang Ding, Beijing Computational Science Research Center, China; Eva Kanso, University of Southern California, USA

Saturday, March 14

MS24Advances in Radial Basis Function and Other Meshfree Methods - Part I of V10:15 AM-11:55 AMRoom:151 AB

For Part 2 see MS50 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.

Organizer: Varun ShankarUniversity of Utah, USA

Organizer: Grady B. WrightBoise State University, USA

10:15-10:35 Guidelines to Modeling the Navier-Stokes and Euler Equations with RBF-FDNatasha Flyer, National Center for

Atmospheric Research, USA; Louis Wicker, National Oceanic and Atmospheric Administration, USA; Gregory Barnett, University of Colorado Boulder, USA

10:40-11:00 A High-Order RBF-Based Leray Projection Method for the Incompressible Stokes and Navier-Stokes EquationsEdward Fuselier, High Point University,

USA; Varun Shankar, University of Utah, USA; Grady B. Wright, Boise State University, USA

11:05-11:25 A Novel Elliptic Solver Based on RBF-Finite Differences for Understanding the Earth’s Electric SystemVictor Bayona and Natasha Flyer, National

Center for Atmospheric Research, USA

11:30-11:50 The Fast Orthogonal Gradients Method: An RBF Method for Solving PDEs on Point Cloud-Defined SurfacesCecile M. Piret, Université Catholique de

Louvain, Belgium

Saturday, March 14

MS23Recent Developments of DG/WENO Methods for Partial Differential Equations - Part I of II10:15 AM-11:55 AMRoom:260 B

For Part 2 see MS49 This minisymposium is to bring people together to discuss the recent advances and exchange ideas in the algorithm design of discontinuous Galerkin (DG) method and weighted essentially nonoscillatory (WENO) method, including the implementation, numerical analysis of those high-order numerical methods for solving partial differential equations. In the minisymposium, the speakers will apply those high-order numerical methods to computational fluid, biology and physics, etc. This minisymposium is a good opportunity for people to discuss with researchers from different areas, and explore more applications and future research collaborations.

Organizer: Yang YangMichigan Technological University, USA

Organizer: Juan ChengInstitute of Applied Physics and Computational Mathematics, China

10:15-10:35 Symmetry-Preserving Conservative Lagrangian Scheme for Compressible Euler Equations in Two-Dimensional Cylindrical CoordinatesJuan Cheng, Institute of Applied Physics and

Computational Mathematics, China

10:40-11:00 Superconvergent HDG Methods for Third-Order Equations in One-Space DimensionBo Dong and Yanlai Chen, University of

Massachusetts, Dartmouth, USA; Bernardo Cockburn, University of Minnesota, Minneapolis, USA

11:05-11:25 A Local Discontinuous Galerkin Scheme for the Patlak-Keller-Segel Chemotaxis ModelYang Yang, Michigan Technological

University, USA; Xingjie Li and Chi-Wang Shu, Brown University, USA

11:30-11:50 Optimal Error Estimates for Discontinuous Galerkin Methods Based on Upwind Biased Fluxes for Linear Hyperbolic EquationsXiong Meng, University of East Anglia,

United Kingdom


Saturday, March 14

MS25Applications and Uses for Tensors10:15 AM-11:55 AMRoom:151 DE

An in-depth examination of uses for tensors in different applications and areas of research.

Organizer: Martin D. SchatzUniversity of Texas at Austin, USA

10:15-10:35 A Framework for Distributed Tensor ComputationsMartin D. Schatz, University of Texas at

Austin, USA; Tamara G. Kolda, Sandia National Laboratories, USA; Robert A. van de Geijn, University of Texas at Austin, USA

10:40-11:00 Exploiting Multiple Tensor Symmetries though Block DiagonalizationCharles Van Loan, Cornell University, USA

11:05-11:25 Tensor Computation for Chemistry and Material ScienceJustus Calvin and Edward F. Valeev, Virginia

Tech, USA

11:30-11:50 Distributed Contraction of TensorsP. Sadayappan and Samyam Rajbhandari,

The Ohio State University, USA; Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA; Pai-Wei Lai, The Ohio State University, USA

Saturday, March 14

MS26Challenges in Computational Cardiac Electrophysiology - Part I of II10:15 AM-11:55 AMRoom:151 G

For Part 2 see MS51 The use of computer simulation to model cardiac electrophysiology, from the cellular level to the whole-organ, has the potential to revolutionise mechanistic understanding, diagnosis and treatment of arrhythmias. These models are often complex and computationally demanding, and integrating the available electrical and imaging data with its inherent uncertainty makes direct clinical utility particularly challenging. This minisymposium highlights the latest advancements and new approaches to modelling cardiac electrophysiology across multiple scales, including imaging and data integration, which will pave the way for developing clinically tractable simulation environments to aid patient treatment in the future.

Organizer: Chris CantwellImperial College London, United Kingdom

Organizer: Frank B. SachseUniversity of Utah, USA

Organizer: Richard ClaytonUniversity of Sheffield, United Kingdom

10:15-10:35 Multi-Scale Modeling of the Failing Heart: from Molecule to PatientAndrew D. McCulloch, Christopher

Villongco, Adarsh Krishnamurthy, and David Krummen, University of California, San Diego, USA

10:40-11:00 Towards Multidomain Modeling of Cardiac ElectrophysiologyFrank B. Sachse, Thomas Seidel, and

Jan Christoph Edelmann, University of Utah, USA; Gunnar Seemann, Karlsruhe Institute of Technology, Germany

11:05-11:25 The Role of Microdomains and Ephaptic Coupling in Cardiac Action Potential PropagationJames P. Keener, University of Utah, USA

11:30-11:50 Strongly Scalable Numerical Approaches for Modeling Cardiac Electromechanics at High Spatiotemporal ResolutionChristoph Augustin, Aurel Neic, Manfred

Liebmann, Gundolf Haase, and Gernot Plank, University of Graz, Austria

Lunch Break11:55 AM-1:30 PMAttendees on their own

continued in next column


Saturday, March 14

IP2Model Reduction - Trouble with Scales?1:30 PM-2:15 PMRoom:355

Chair: Pavel Bochev, Sandia National Laboratories, USA

Scientific and technological advances call for more and more complex models as well as systematic ways of complementing them by observational data. Despite the ever increasing computing capacity, ironically, the need for quantifiable model reduction concepts is also gaining increasing importance in numerous application contexts. Examples are large scale design or online optimization tasks, uncertainty quantification or inversion problems some of which may only become feasible through employing reduced models. Starting from a flow scenario with microscales this talk highlights several aspects of related model reduction strategies with particular focus on accuracy and stability guarantees, presence of small scales, singular perturbations, and high dimensionality. We address some of the key ingredients, revolving around error-residual relations, rate-optimality as a benchmark notion, adaptive or greedy methods, separation of variables. The discussion is illustrated by numerical examples.

Wolfgang DahmenRWTH Aachen, Germany

Intermission2:15 PM-2:25 PM

Saturday, March 14

MS27Featured Minisymposium: Fast Multipole Methods Maturing at 30 Years2:25 PM-4:05 PMRoom:355

In the last five years or so, research on fast multipole methods has been buzzing and it seems that finally this “top-10” algorithm may be reaching its potential. The mathematicians have always continued making progress and improvements, but lately we see many developments in the computer science aspects of implementing the algorithm with high performance, and the applications arena. This featured minisymposium will present leaders in the field discussing the most resent advances and giving perspectives for the future. It will complement several regular minisymposia being presented at the conference.

Organizer: Lorena A. BarbaGeorge Washington University, USA

2:25-2:45 Overview of the Field and the Community of Fast Multipole MethodsLorena A. Barba, George Washington

University, USA

2:50-3:10 N-body Methods in Computational Science and EngineeringGeorge Biros, University of Texas at Austin,

USA

3:15-3:35 Computer Science Aspects of Fast Multipole MethodsRichard Vuduc, Georgia Institute of

Technology, USA

3:40-4:00 The Geometry of the Fast Multipole MethodsLexing Ying, Stanford University, USA

Saturday, March 14

PD1 PanelStudent Careers12:15 PM-1:30 PMRoom:355 D

Sponsored by KAUST

Chair: Evrim Acar, University of Copenhagen, Denmark

Chair: William G. Kolata, SIAM, USA

Chair: Patrick O’Leary, Kitware, Inc., USA

The panelists will present an overview careers in CSE in Academia, Industry and National Laboratories. The session will begin with brief presentations by the panelists, followed by an open discussion and question period with students in the audience. Lunch will be provided. Attendance is limited to current undergraduate and graduate students. If you did not register but would like to attend, please see a SIAM staff member at the registration desk

Thomas GrandineThe Boeing Company, USA

David KeyesKAUST, Saudia Arabia and Columbia

University, USA

Cynthia PhillipsSandia National Laboratories, USA

Jeffrey SaltzmanAstraZeneca, USA


Saturday, March 14

MS28Data-methods for Complex Systems - Part II of III2:25 PM-4:05 PMRoom:355 A

For Part 1 see MS2 For Part 3 see MS53 Data-driven methods are transforming the engineering, physical and biological sciences. Indeed, innovative uses of machine learning, dimensionality reduction, sparse sensing, and/or network characterization techniques are allowing for significant advances in engineering designs for the prediction and control of highly complex, often networked, systems. This minisymposium brings together experts who are integrating together one or more of the aforementioned methodologies with the goal of providing transformative analytic tools and algorithms for characterizing the underlying, low-dimensional, dynamics of the complex system.




2:25-2:45 Data-Driven Modeling of Complex Systems with ControlJoshua L. Proctor, Institute for Disease

Modeling, USA

2:50-3:10 Low-Complexity Stochastic Modeling of Turbulent FlowsMihailo R. Jovanovic, University of

Minnesota, USA

3:15-3:35 A Deim Induced Cur FactorizationDanny C. Sorensen, Rice University, USA

3:40-4:00 Data Mining and Coarse Graining for Network Evolution ProblemsYannis Kevrikidis, Princeton University, USA

Saturday, March 14

MS29Geometric Methods for Graph Partitioning - Part II of II2:25 PM-4:05 PMRoom:355 D

For Part 1 see MS3 The graph partitioning problem of finding meaningful clusters in a dataset has a variety of important applications in areas such as machine learning, image analysis, and topic modeling. A variety of new methods have recently been introduced based on ideas from geometric analysis, compressive sensing, spectral graph theory, and nonlinear partial differential equations. This minisymposium aims to bring together mathematicians and scientists working on these methods to share new results and exchange ideas.

Organizer: Braxton OstingUniversity of Utah, USA

Organizer: Dominique ZossoUniversity of California, Los Angeles, USA

2:25-2:45 Sampling of Dynamic Graphs and Recovery of the Spectral PropertiesNathan D. Monnig, Conrad Hougen,

and Francois G. Meyer, University of Colorado Boulder, USA

2:50-3:10 Consistency of Variational Partitioning of Point CloudsNicolas Garcia Trillos and Dejan Slepcev,

Carnegie Mellon University, USA; James von Brecht, University of California, Los Angeles, USA; Thomas Laurent, Loyola Marymount University, USA; Xavier Bresson, Swiss Federal Institute of Technology, Switzerland

3:15-3:35 Geometric Methods in Image Processing, Networks, and Machine LearningAndrea L. Bertozzi, University of California,

Los Angeles, USA

3:40-4:00 A Panoply of Graph-ported PDEs and ProcessesYves van Gennip, Nottingham University,

United Kingdom

Saturday, March 14

MS30Adaptive Model Order Reduction - Part II of III2:25 PM-4:05 PMRoom:250 A

For Part 1 see MS4 For Part 3 see MS55 Classical model reduction follows a static approach where the reduced-order model is built once in the offline phase and then remains unchanged in the online phase. Adaptive model reduction breaks with this rigid splitting and adapts the reduced order model online. Such adaptive techniques include localization approaches, where one of several pre-computed local models is selected depending on the current state of the system; dictionary approaches, where the reduced basis is assembled on demand from pre-computed basis vectors; and updating methods, which incorporate new data or other information in the reduced-order model.



2:25-2:45 Geometric Methods in Adaptive Model Order ReductionRalf Zimmermann, TU Braunschweig,

Germany; Thomas Franz, German Aerospace Center (DLR), Germany

2:50-3:10 An Adaptive and Efficient Greedy Procedure for the Optimal Training of Parametric Reduced-Order ModelsArthur Paul-Dubois-Taine and David

Amsallem, Stanford University, USA

3:15-3:35 Error Estimation for Hyper-Reduced Elastoviscoplastic ModelsDavid Ryckelynck, Mines ParisTech, France

3:40-4:00 Symplectic Model Reduction for Hamiltonian SystemsKamran Mohseni, University of Florida,

Gainesville, USA; Liqian Peng, University of Florida, USA


Saturday, March 14

MS31State-of-the-art Iterative Solvers for Inverse Problems - Part II of II2:25 PM-4:05 PMRoom:250 B

For Part 1 see MS5 Efficient linear solvers are a critical component in the large-scale implementations of algorithms for inverse problems. Examples include solvers for the Newton/Gauss-Newton step and solving the discretized PDEs which comprise the “forward problem”. This session will focus on advances in iterative solvers and preconditioners for linear and nonlinear inverse problems. Applications of the algorithms include diverse areas ranging from medical imaging to environmental sciences.

Organizer: Arvind SaibabaTufts University, USA


Organizer: Eric MillerTufts University, USA

2:25-2:45 An Iterative Algorithm for Large-Scale Tikhonov RegularizationJulianne Chung, Virginia Tech, USA;

Katrina Palmer, Appalachian State University, USA

2:50-3:10 The Arnoldi-Tikhonov Framework: Choice of Regularization Parameters and MatricesSilvia Gazzola, University of Padova, Italy;

James G. Nagy, Emory University, USA; Paolo Novatti, University of Padova, Italy

3:15-3:35 Flexible Krylov Subspace Methods for Shifted Systems with Multiple Right Hand SidesTania Bakhos, Stanford University, USA;

Arvind Saibaba, Tufts University, USA; Peter K. Kitanidis, Stanford University, USA

3:40-4:00 Unbiased Predictive Risk and Discrepancy Principles Applied for LSQR Solutions of Ill-posed Least SquaresRosemary A. Renaut, Arizona State

University, USA

Saturday, March 14

MS32Computational Techniques for Time Dependent Coupled Multiphysics and Multiscale Problems - Part II of III2:25 PM-4:05 PMRoom:250 C

For Part 1 see MS6 For Part 3 see MS57 The simulation of multiphysics and multiscale systems is important for a wide range of applications including fluid structure interaction and conjugate heat transfer. Of particular interest is the formulation of solvers built by reusing codes for the various subproblems for which it is common to use ad hoc coupling or time integration schemes. This minisymposium discusses new and practical approaches to advance the state of the art, and to help bridge the gap between researchers working in the various fields. Important aspects include time adaptivity, high order methods, multirate schemes, stability, coupling conditions, and the overall solver performance.


2:25-2:45 Half-Imex Time Integrators for Large Scale Simulations of Turbulent Incompressible FlowsSantiago Badia, Universitat Politecnica

de Catalunya, Spain; Oriol Colomes, International Center for Numerical Methods in Engineering, Spain

2:50-3:10 Overview of Added-Mass Partitioned Algorithms for FSI SimulationsWilliam Henshaw, Rensselaer Polytechnic

Institute, USA

3:15-3:35 Overcoming the Added Mass Instability for Coupling Incompressible Flows and Elastic BeamsLongfei Li, Rensselaer Polytechnic Institute,

USA

3:40-4:00 Partitioned Algorithms for FSI Problems Involving Elastic Solids Coupled to Compressible and Incompressible FluidsDonald W. Schwendeman, Rensselaer

Polytechnic Institute, USA

Saturday, March 14

MS33Active Subspaces for Dimension Reduction: Theory and Applications - Part II of III2:25 PM-4:05 PMRoom:250 D

For Part 1 see MS7 For Part 3 see MS58 Parameter studies like uncertainty quantification and optimization are infeasible for complex simulations with more than a handful of inputs. When a simulation contains several inputs, the engineer may seek an alternative parameterization with fewer variables to enable such studies. Active subspaces are an emerging set of tools for dimension reduction in complex models. The active subspace is a set of directions in the space of input variables that correspond to greater change, on average, in a quantity of interest. This minisymposium will explore (i) recent developments in algorithms that exploit active subspaces and (ii) applications from across engineering disciplines.


2:25-2:45 An Approach to Big Data in Inverse ProblemsEllen B. Le, Aaron Myers, and Tan Bui-Thanh,

University of Texas at Austin, USA

2:50-3:10 Likelihood-Informed Dimension Reduction for Bayesian Inverse ProblemsTiangang Cui, Massachusetts Institute of

Technology, USA; James R. Martin, University of Texas at Austin, USA; Youssef M. Marzouk, Massachusetts Institute of Technology, USA; Antti Solonen, Lappeenranta University of Technology, Finland; Alessio Spantini, Massachusetts Institute of Technology, USA; Luis Tenorio, Colorado School of Mines, USA

3:15-3:35 Parameter Selection Techniques for Disease ModelsJared Cook, Asbury University, USA; Nicholas

Myers, University of Wisconsin, Milwaukee, USA; Nina Ning, George Washington University, USA; Mami Wentworth and Ralph C. Smith, North Carolina State University, USA

3:40-4:00 Active Subspaces for the Design of Supersonic Low-Boom AircraftTrent W. Lukaczyk, Juan J. Alonso, and

Francisco Palacios, Stanford University, USA


Saturday, March 14

MS36Embedded Boundary and Interface Techniques - Part II of II2:25 PM-3:40 PMRoom:251 A

For Part 1 see MS10 Many problems in science and engineering are modeled by partial differential equations (PDEs) in domains with irregular geometry and/or with interfaces. Development of special algorithms are required to restore the accuracy of the numerical schemes near arbitrary boundaries/or interfaces. Recently, much of the progress has been made for designing highly accurate and efficient numerical methods for such problems which employ only simple Cartesian grids. Developments and applications of XFEM, Immersed Interface Methods and Difference Potentials Methods, as well as open questions in the field will be discussed in details.


Organizer: Gunilla KreissUppsala University, Sweden

2:25-2:45 A Fourth Order Accurate Embedded Boundary Method for the Wave Equation in Second Order FormDaniel Appelo, University of New Mexico,

USA

2:50-3:10 High-Order Numerical Methods for Elliptic Interface ProblemsMichael Medvinsky and Yekaterina Epshteyn,

University of Utah, USA; Semyon V. Tsynkov, North Carolina State University, USA; Eli Turkel, Tel Aviv University, Israel

3:15-3:35 A Nitsche Stabilized Fictitious Domain Finite Element Method for the Wave EquationSimon Sticko and Gunilla Kreiss, Uppsala

University, Sweden

Saturday, March 14

MS35Matrix-Free Methods for Large-Scale Optimization with Applications2:25 PM-4:05 PMRoom:250 F

For Part 1 see MS9 Many applications can be formulated as large-scale optimization problems, including inverse problems, medical and seismic imaging, classification in machine learning, data assimilation in weather prediction, and matrix decompositions. For all of them, explicit modeling is prohibitive and matrix-free methods are essential for competitive performance. First-order methods have proven widely successful in recent years. However, recent developments suggest that matrix-free second-order methods, such as interior-point methods, can be competitive. The goal of the minisymposium is to explore those ideas, compare to first-order methods, and promote further research and collaboration between the optimization and applied communities in developing large-scale matrix-free methods.

Organizer: Dominique OrbanÉcole Polytechnique de Montréal, Canada

Organizer: Aleksandr AravkinIBM T.J. Watson Research Center, USA

2:25-2:45 Matrix Free Quadratic-penalty Methods for PDE-constrained OptimizationBas Peters and Felix J. Herrmann, University

of British Columbia, Canada

2:50-3:10 Matrix-Free Solvers for Robust PCA and Distance Matrix CompletionStephen Becker, University of Colorado

Boulder, USA; Aleksandr Aravkin and Aurelie Lozano, IBM T.J. Watson Research Center, USA

3:15-3:35 Compressing Clustered Data using Sparse NMFMichael A. Saunders and San Kim, Stanford

University, USA

3:40-4:00 Dimensionality Reduction and Uncertainty Quantification for Inverse ProblemsTristan van Leeuwen, Utrecht University, The

Netherlands

Saturday, March 14

MS34Advances in Algorithms for Uncertainty Quantification in Large-scale Inverse Problems - Part II of III2:25 PM-4:05 PMRoom:250 E

For Part 1 see MS8 For Part 3 see MS59 Quantification of uncertainty in large-scale inverse problems governed by partial differential equations presents significant challenges due to computationally expensive parameter-to-observable maps and high-dimensional parameter spaces. This minisymposium presents recent advances in algorithms that make UQ for large-scale linear and nonlinear inverse problems tractable by exploiting problem structure.





2:25-2:45 An Empirical Objective Bayes Method for Large Inverse ProblemsPeter K. Kitanidis, Stanford University,

USA

2:50-3:10 Applying UQ Approaches to Random Ordinary Differential EquationsTobias Neckel, Hans-Joachim Bungartz, and

Alfredo Parra, Technische Universität München, Germany

3:15-3:35 Goal-Oriented Model Adaptivity for InferenceVikram Garg, University of Texas at Austin,

USA; Harriet Li and Karen E. Willcox, Massachusetts Institute of Technology, USA

3:40-4:00 Sparse Grid and Reduced Basis Approximation of Bayesian Inverse ProblemsPeng Chen and Christoph Schwab, ETH

Zürich, Switzerland


Saturday, March 14

MS39AWM Workshop - Career Development: Celebrating Firsts - Panel and Roundtable2:25 PM-4:05 PMRoom:251 D


Minisymposium speakers and panelists will provide an overview of challenges and strategies for success as firsts in their respective field, career path, or organization. We will discuss how to approach the obstacles women mathematicians and scientist face when encountering first-time career and career-related life events, including: obtaining your first position, tenure track, work-life balance, funding, and post-tenure success. Topical discussions will be led by panelists.

Organizer: Elebeoba MayUniversity of Houston, USA




Saturday, March 14

MS38Innovative Algorithms for Eigenvalue and Singular Value Decomposition - Part II of III2:25 PM-4:05 PMRoom:251 C

For Part 1 see MS12 For Part 3 see MS63 The minisymposium will focuses on the first steps taken on the development of novel software methodologies and algorithm for the next generation of HPC systems. Some scale challenges will be addressed; the goal is to close the “application-architecture peak performance gap” by exploring algorithms and runtime improvements that will enable key science applications to better exploit the architectural features of the extreme-scale systems. The contributed talks will cover new approaches that can overcome the limitations of existing dense/sparse eigensolver libraries on platforms that require fine granularity and memory-aware computational tasks combined with asynchronism in parallel execution.




2:25-2:45 A Parallel Multishift QZ Algorithm with Aggressive Early Deflation for Distributed Memory HPC SystemsBjörn Adlerborn and Bo T. Kågström, Umeå

University, Sweden; Daniel Kressner, EPFL, Switzerland

2:50-3:10 Algorithms for Hessenberg-Triangular Reduction in ParallelBjörn Adlerborn, Lars Karlsson, and Bo T.

Kågström, Umeå University, Sweden

3:15-3:35 Avoiding Communication in Distributed-Memory TridiagonalizationGrey Ballard, Sandia National Laboratories,

USA; James W. Demmel, Nicholas Knight, and Edgar Solomonik, University of California, Berkeley, USA

3:40-4:00 Performance Evaluation of Sparse Matrix-Vector Multiplication Using GPU/MIC ClusterHiroshi Maeda and Daisuke Takahashi,

University of Tsukuba, Japan

Saturday, March 14

MS37Physics-compatible Discretization on Multiphysics Systems and Efficient Multilevel Solvers - Part II of II2:25 PM-4:05 PMRoom:251 B

For Part 1 see MS11 Design of the appropriate discretization for the PDE systems can oftentimes be done by taking into account the detailed characteristics of the PDE models in relation to the underlying Physics. In many cases, efficient multilevel iterative solvers can be developed based on such discretization. Therefore, such discretization is typically solver-friendly. The minisymposium is to disseminate the state-of-art developments in physics-compatible discretization on multi-physics systems and the corresponding efficient multilevel solvers.

Organizer: Yunrong ZhuIdaho State University, USA

Organizer: Young-Ju LeeTexas State University, USA

2:25-2:45 Solver for Structure-Preserving Discretization of Incompressible MHD EquationsYicong Ma, Pennsylvania State University,

USA; Xiaozhe Hu, Tufts University, USA; Jinchao Xu, Pennsylvania State University, USA

2:50-3:10 Modeling and Numerical Studies for Fluid-Structure InteractionsPengtao Sun, University of Nevada, Las

Vegas, USA

3:15-3:35 Cascadic Multilevel for Saddle Point Least-Squares MethodsConstantin Bacuta, University of Delaware,

USA

3:40-4:00 Multigrid Method for Linear Elasticity with Weakly Imposed SymmetryYoung Ju Lee, Texas State University, USA


Saturday, March 14

MS40NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science - Part II of III2:25 PM-4:05 PMRoom:251 E

For Part 1 see MS14 For Part 3 see MS65 The materials science community has embarked on various large-scale computational projects. We mention the materials genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials. These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Division of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will will highlight opportunities for joint research projects.


2:25-2:45 Structural Optimization and 3D PrintingRobert V. Kohn, Courant Institute of

Mathematical Sciences, New York University, USA

2:50-3:10 DNA-Functionalized Nanoparticle Assembly and CrystallizationMonica Olvera De La Cruz, Northwestern

University, USA

3:15-3:35 Mathematical Challenges in Nonequilibrium Approaches to Amorphous Solids: Quantifying Disorder, Predicting Plasticity, Accelerating SimulationMichael Falk, Johns Hopkins University,

USA

3:40-4:00 Integrating Mathematical Modeling and Computer Simulation with Experimental Synthesis and Characterization of MaterialsLong-qing Chen, Pennsylvania State

University, USA

Saturday, March 14

MS41Volume Penalty and Fourier Methods for PDEs on Irregular Domains - Part I of II2:25 PM-3:40 PMRoom:251 F

For Part 2 see MS66 Volume penalty methods allow one to extend the domain that a partial differential equation is defined on (ie. an irregular geometry) to that of a simple rectangular domain through the addition of a volume penalty, forcing term. The resulting penalized equations then provide a flexible and efficient framework for solving (moving) interface and boundary problems via a solution using I) equispaced grids, ii) Nonconforming FEM, iii) Fourier methods. This minisymposium brings together mathematicians and practitioners to discuss both theoretical aspects such as convergence rates and stability, as well as applications and simulations of physical phenomena.

Organizer: David ShirokoffNew Jersey Institute of Technology, USA

2:25-2:45 A New Penalization Method for the Shallow Water Equations with Applications to Global Ocean FlowNicholas Kevlahan, McMaster University,

Canada

2:50-3:10 Imposing Dirichlet and Neumann Conditions in Fourier Pseudospectral Methods Using Volume PenalizationKai Schneider, Aix-Marseille Université,

France

3:15-3:35 High-Order Fourier-Penalty Methods for PDEs on Irregular DomainsDavid Shirokoff, New Jersey Institute of

Technology, USA

Saturday, March 14

MS42Theory, Computation and Experiments in Biofluids - Part II of II2:25 PM-4:05 PMRoom:254 A

For Part 1 see MS16 Over the last two decades the study of systemic biofluids and their interactions with engineering therapeutics and implants has rapidly developed into an interdisciplinary approach of utilizing Mathematics, Bioengineering, Biomedical, and the Biological Sciences to address the complexities and challenges of this field. Eight speakers in this two part minisymposium will present their research spanning mathematical analysis, algorithm development, complex simulations of biological systems and coordination between modeling and experiments. The diversity of these presentations shows the importance of interdisciplinary research on systemic biofluids to understand its wide range of domains from basic processes of fluid dynamics to technological applications.


Organizer: John CarrolaSouthwest Research Institute, USA

2:25-2:45 The Effect of Curved or Flat Edges Microchannels on Vortex Entrapment of Particles as seen in Lattice-Boltzmann SimulationsJohn Carrola and Hakan Basagaoglu,

Southwest Research Institute, USA

2:50-3:10 Scaffold-free Three-dimensional Hepatocyte Assembly for Liver Tissue EngineeringUtkan Demirci and Pu Chen, Stanford

University, USA

3:15-3:35 Brownian Motion of Arbitrarily Shaped Particles Confined in Two-DimensionsQi-Huo Wei, Kent State University, USA

3:40-4:00 Designing Self-Propelling Microgel SwimmerAlexander Alexeev, Svetoslav Nikolov, and

Peter Yeh, Georgia Institute of Technology, USA


Saturday, March 14

MS43Parallel Programming Models, Algorithms and Frameworks for Extreme Computing - Part II of III2:25 PM-4:05 PMRoom:254 B

For Part 1 see MS17 For Part 3 see MS68 Multicore/manycore processors and accelerators are universally available as both collections of homogeneous standard microprocessors and as attached heterogeneous co-processors. Application and library software developers may often effectively use these processors and some general approaches have emerged. It is widely recognized that careful design of software and data structures, with effective memory management, are the most critical issues to obtain scalable optimized performance on those systems. In these minisymposia we discuss current experiences and development of applications, libraries and frameworks using a variety of hardware. Speakers will address performance results and software design.




2:25-2:45 OCCA: An Extensible Portability Layer for Many-Core ProgrammingTim Warburton and David Medina, Rice

University, USA; Amik St-Cyr, Shell International Exploration & Production B.V., Netherlands

2:50-3:10 Evaluations of Directive Based Programming Model for GPUs and Extensions for Performance PortabilityTetsuya Hoshino, Tokyo Institute of

Technology, Japan; Naoya Maruyama, RIKEN, Japan; Satoshi Matsuoka, Tokyo Institute of Technology, Japan

3:15-3:35 Optimization of Preconditioned Iterative Linear Solvers Using Openmp/openacc on Gpu and MicSatoshi Ohshima, Masaharu Matsumoto,

Takahiro Katagiri, Toshihiro Hanawa, and Kengo Nakajima, University of Tokyo, Japan

3:40-4:00 A Kokkos Implementation of Albany: A Performance Portable Multiphysics Simulation CodeIrina Demeshko, H. Carter Edwards, Michael

Heroux, Roger P. Pawlowski, Eric Phipps, and Andrew Salinger, Sandia National Laboratories, USA

Saturday, March 14

MS44Advanced Algorithms in Computational Electromagnetics - Part II of II2:25 PM-4:05 PMRoom:254 C

For Part 1 see MS18 The minisymposium focuses on advanced numerical algorithms and high performance simulations for electromagnetic systems, including photonics crystals, plasmonics, solar cells, and quantum electronic devices. Main topics include high-order PDE/ODE discretizations, Green function, integral equation, boundary element method, and density matrix approaches. Scalable algorithms and efficient preconditioning strategies are also discussed for solving large-scale systems on the advanced computing platforms.

Organizer: David P. NichollsUniversity of Illinois, Chicago, USA


2:25-2:45 Resonances of a Finite One-Dimensional Photonic Crystal with a DefectFadil Santosa, University of Minnesota,

USA

2:50-3:10 Electromagnetic Field Enhancement for Metallic Nano-gapsJunshan Lin, Auburn University, USA

3:15-3:35 An Efficient Spectral Element Helmholtz Solver with an Accurate Treatment for Transparent Boundary Condition for Periodic Lossy MediaYing He, University of California, Davis,

USA

3:40-4:00 A High Order Perturbation of Surfaces Method for Simulating Surface Plasmons on Periodic GratingsDavid P. Nicholls, University of Illinois,

Chicago, USA



Saturday, March 14

MS45Computational Methods for Kinetic Equations and Related Models - Part II of V2:25 PM-4:05 PMRoom:150 AB

For Part 1 see MS19 For Part 3 see MS70 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.






2:25-2:45 Performance of Parallel Algorithms for Particle Transport on Massively Parallel ArchitecturesMarvin L. Adams, Michael Adams, W.

Daryl Hawkins, Timmie Smith, Lawrence Rauchwerger, and Nancy Amato, Texas A&M University, USA; Teresa S. Bailey and Robert Falgout, Lawrence Livermore National Laboratory, USA

2:50-3:10 Particle-Particle, Particle-Mesh Methods for Electromagnetic ProblemsAndrew J. Christlieb and Eric Wolf,

Michigan State University, USA

3:15-3:35 Uncertainty Quantification in Kinetic TheoryShi Jin, Shanghai Jiao Tong University,

China, and the University of Wisconsin-Madison, USA; Dongbin Xiu and Xueyu Zhu, University of Utah, USA

3:40-4:00 Stochastic Galerkin Method for Hamilton-Jacobi Equations with UncertaintyJingwei Hu, Purdue University, USA; Shi

Jin, Shanghai Jiao Tong University, China, and the University of Wisconsin-Madison, USA; Dongbin Xiu, University of Utah, USA

Saturday, March 14

MS46Advances in Large-scale Forward and Inverse Ice Sheet Modeling - Part I of II2:25 PM-4:05 PMRoom:150 DE

For Part 2 see MS71 Model-based projections of the dynamics of the polar ice sheets play a central role in anticipating future sea level rise. However, a number of mathematical and computational challenges place significant barriers on improving predictability of these models. These include complex and very high-aspect ratio geometries, highly nonlinear and anisotropic rheology, extremely ill-conditioned (non)linear systems, broad range of length scales, and unknown model parameters that must be inferred from heterogeneous observations, leading to an ill-posed inverse problem and the need to quantify uncertainties in its solution. Speakers in this minisymposium will address these challenges and present recent developments aimed at overcoming them.

Organizer: Noemi PetraUniversity of California, Merced, USA


Organizer: Irina KalashnikovaSandia National Laboratories, USA


2:25-2:45 Improving Grounding Line Discretization using an Embedded-Boundary Approach in BISICLESDaniel Martin, Peter O. Schwartz, and

Esmond G. Ng, Lawrence Berkeley National Laboratory, USA

2:50-3:10 On the Development and Performance of a First Order Stokes Finite Element Ice Sheet Dynamical Core Built Using Trilinos Software ComponentsIrina Kalashnikova, Andrew Salinger, Mauro

Perego, and Ray S. Tuminaro, Sandia National Laboratories, USA

continued in next columncontinued on next page


3:15-3:35 A Finite Element Three-Dimensional Stokes Ice Sheet Dynamics Model with Enhanced Local Mass ConservationWei Leng, Chinese Academy of Sciences,

China; Lili Ju, University of South Carolina, USA; Max Gunzburger, Florida State University, USA

3:40-4:00 Testing the Multilayer Shallow Shelf Approximation Against Higher-order ModelsGuillaume Jouvet, ETH Zürich, Switzerland

Saturday, March 14

MS47Career Fair: Alternatives to Academia - Part II of III2:25 PM-4:05 PMRoom:255

For Part 1 see MS21 For Part 3 see MS72 The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.Organizer: William G. KolataSIAM, USA


This is the most current list at time fo printing.• Argonne National Laboratory

• Boeing


• Kitware



• MathWorks



• NSA

• NVIDIA


• Quantlab


Saturday, March 14

MS48Efficient and Accurate Solution Techniques for Variable Coefficient Elliptic Partial Differential Equations - Part I of II2:25 PM-4:05 PMRoom:260 A

For Part 2 see MS73 Efficient and accurate numerical methods for solving variable coefficient partial differential equations are important for many applications such as seismic imaging and metamaterial design. A variety of techniques including finite element, discontinuous Galerkin, and integral equation methods have been developed to tackled these challenging problems. This session brings together researchers from a broad range of research communities in an effort to build an understanding of the different techniques and open problems in the field.

Organizer: Adrianna GillmanRice University, USA

Organizer: Lise-Marie Imbert-GérardCourant Institute of Mathematical Sciences, New York University, USA

2:25-2:45 Yee Scheme Coupled with Linear Current in Magnetic Plasmas with Varying CoefficientsBruno Despres, University of Paris VI, France;

Martin Campos Pinto and Stéphane Heuraux, CNRS, France; Filipe da Silva, Instituto Superior Tecnico, Portugal

2:50-3:10 Discontinuous Enrichment Method for Problems with Variable CoefficientsRadek Tezaur and Charbel Farhat, Stanford

University, USA; Irina Kalashnikova, Sandia National Laboratories, USA

3:15-3:35 Approximation of Degenerate Elliptic Equations with Muckenhoupt Coefficients: a priori and a posteriori Analyses and Efficient SolversAbner J. Salgado, University of Tennessee,

USA

3:40-4:00 Application of a Speed Up Fast Direct Solver for the Solution of the Lippmann-Schwinger EquationCarlos C. Borges, Lise-Marie Imbert-Gerard,

and Sivaram Ambikasaran, Courant Institute of Mathematical Sciences, New York University, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA


Saturday, March 14

MS51Challenges in Computational Cardiac Electrophysiology - Part II of II2:25 PM-4:05 PMRoom:151 G

For Part 1 see MS26 The use of computer simulation to model cardiac electrophysiology, from the cellular level to the whole-organ, has the potential to revolutionise mechanistic understanding, diagnosis and treatment of arrhythmias. These models are often complex and computationally demanding, and integrating the available electrical and imaging data with its inherent uncertainty makes direct clinical utility particularly challenging. This minisymposium highlights the latest advancements and new approaches to modelling cardiac electrophysiology across multiple scales, including imaging and data integration, which will pave the way for developing clinically tractable simulation environments to aid patient treatment in the future.


Organizer: Frank B. SachseUniversity of Utah, USA

Organizer: Richard ClaytonUniversity of Sheffield, United Kingdom

2:25-2:45 Multi-Scale Modeling in Cardiac Electrophysiology: What Are the Challenges in Front of Us?Zhilin Qu, University of California, Los

Angeles, USA

2:50-3:10 Three-Dimensional Modeling of Ca2+ Signaling in Healthy and Failing CardiomyocytesPeter Kekenes-Huskey, University of

Kentucky, USA

Saturday, March 14

MS50Advances in Radial Basis Function and Other Meshfree Methods - Part II of V2:25 PM-4:05 PMRoom:151 AB

For Part 1 see MS24 For Part 3 see MS75 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.



2:25-2:45 Quadrature on Spheres and Other Manifolds Based on KernelsJoseph Ward, Texas A&M University, USA

2:50-3:10 Solving PDEs on the Sphere via Novel Galerkin Method using Highly Localized Kernel BasesFrancis J. Narcowich, Joseph Ward, and

Stephen Rowe, Texas A&M University, USA

3:15-3:35 Compact Scattered RBF-FD Stencils for PDEs on SurfacesErik Lehto, Royal Institute of Technology,

Stockholm, Sweden; Varun Shankar, University of Utah, USA; Grady B. Wright, Boise State University, USA

3:40-4:00 A Least Squares-RBF Approach to Transport Problems on SurfacesDaryl J. Springer, Arizona State University,

USA

Saturday, March 14

MS49Recent Developments of DG/WENO Methods for Partial Differential Equations - Part II of II2:25 PM-4:05 PMRoom:260B

For Part 1 see MS23 This minisymposium is to bring people together to discuss the recent advances and exchange ideas in the algorithm design of discontinuous Galerkin (DG) method and weighted essentially nonoscillatory (WENO) method, including the implementation, numerical analysis of those high-order numerical methods for solving partial differential equations. In the minisymposium, the speakers will apply those high-order numerical methods to computational fluid, biology and physics, etc. This minisymposium is a good opportunity for people to discuss with researchers from different areas, and explore more applications and future research collaborations.

Organizer: Juan ChengInstitute of Applied Physics and Computational Mathematics, China

Organizer: Yang YangMichigan Technological University, USA

2:25-2:45 Runge-Kutta Discontinuous Galerkin Methods for the Relativistic Vlasov-Maxwell SystemHe Yang and Fengyan Li, Rensselaer


2:50-3:10 Superconvergence of Discontinuous Galerkin Methods for Hyperbolic Equations in Two Space DimensionsWaixiang Cao, Beijing Computational Science

Research Center, China; Yang Yang, Michigan Technological University, USA; Zhimin Zhang, Wayne State University, USA; Chi-Wang Shu, Brown University, USA

3:15-3:35 A Simple DG Scheme for Acoustic Wave Equations with Curved Interfaces and BoundariesXiangxiong Zhang, Purdue University, USA

3:40-4:00 Runge-Kutta Discontinuous Galerkin Method with a Simple and Compact Hermit Weno LimiterJun Zhu, Nanjing University of Aeronautics

and Astronautics, China; Xinghui Zhong, Michigan State University, USA; Chi-Wang Shu, Brown University, USA; Jianxian Qiu, Xiamen University, China



Saturday, March 14

MS53Data-methods for Complex Systems - Part III of III4:35 PM-6:15 PMRoom:355 A

For Part 2 see MS28 Data-driven methods are transforming the engineering, physical and biological sciences. Indeed, innovative uses of machine learning, dimensionality reduction, sparse sensing, and/or network characterization techniques are allowing for significant advances in engineering designs for the prediction and control of highly complex, often networked, systems. This minisymposium brings together experts who are integrating together one or more of the aforementioned methodologies with the goal of providing transformative analytic tools and algorithms for characterizing the underlying, low-dimensional, dynamics of the complex system.




4:35-4:55 Discovering Underlying Nonlinear Dynamics of Complex Systems from DataSteven Brunton, University of Washington,

USA

5:00-5:20 Common Manifold Learning Using Alternating Diffusion for Multimodal Signal ProcessingRonald Coifman and Roy Lederman, Yale

University, USA; Ronen Talmon, Technion Israel Institute of Technology, Israel

5:25-5:45 Title Not Available at Time of PublicationSurya Ganguli, Stanford University, USA

5:50-6:10 Data-Driven Model Reduction to Support Decision Making in Complex SystemsKaren E. Willcox, Massachusetts Institute of

Technology, USA

Saturday, March 14

MS52Featured Minisymposium: Modeling and Computing Complex Flows4:35 PM-6:15 PMRoom:355

Computation of unsteady multifluid flows is one of the more challenging problems in computational science. Nevertheless, considerable progress has been made in the development of numerical methods to follow the convoluted motion of complex interfaces separating different fluid phases, for a broad range of governing parameters. These successes are making it possible to pursue even more advanced problems, including additional physics and even large range of scales, as well as making it urgent to develop sophisticated models that take advance of the new data. In this minisymposium we will explore the state of the art and discuss future challenges.

Organizer: Gretar TryggvasonUniversity of Notre Dame, USA

4:35-4:55 Direct Numerical Simulations of Multiphase Flow: Now What?Gretar Tryggvason, University of Notre

Dame, USA

5:00-5:20 Modeling and Simulation of Multimaterial Compressible FlowsMarianne M. Francois, Los Alamos National

Laboratory, USA

5:25-5:45 Methods for Computing Turbulent Phase Interface Dynamics Across Multiple ScalesMarcus Herrmann, Arizona State University,

USA

5:50-6:10 Conservative and Accurate Geometric Transport Methods for Discontinuous Variables in Turbulent Multi-physics Two-phase FlowsOlivier Desjardins, Cornell University, USA

3:15-3:35 High-Order Finite Element Methods for Cardiac ElectrophysiologyChris Cantwell, Imperial College London,

United Kingdom; Sergey B. Yakovlev, University of Utah, USA; Rheeda Ali and Nicholas Peters, Imperial College London, United Kingdom; Mike Kirby, University of Utah, USA; Spencer Sherwin, Imperial College London, United Kingdom

3:40-4:00 Assessing the Credibility of Computational Models of Cardiac ElectrophysiologyPras Pathmanathan and Richard Gray, U.S.

Food and Drug Administration, USA

Coffee Break4:05 PM-4:35 PMRoom:255


Saturday, March 14

MS56Efficient Methods for Uncertainty Quantification by Means of Tensor Format Representations4:35 PM-6:15 PMRoom:250 B

In this minisymposium we introduce new effective tensor methods for quantification of uncertainties, analysis of high dimensional data, which may come from, e.g. stochastic or multi- parametric PDEs. Tensor format representations can be used for fast (with almost linear complexity) computing different statistics and values of interest, such as mean, covariance, exceedance probabilities, confidence intervals, sensitivity indices and cumulative distribution function. A very important issue to discuss is inexact recursive iteration schemes as well as tensor rank truncation. A special attention will be devoted to the non-intrusive implementation of tensor methods for uncertainty quantification.

Organizer: Alexander LitvinenkoKing Abdullah University of Science & Technology (KAUST), Saudi Arabia

Organizer: Mike EspigRWTH - Aachen University of Technology, Germany

Organizer: Hermann MatthiesTU Braunschweig, Germany

4:35-4:55 Tensor Format Representations and Optimal Model Reduction for Uncertainty QuanticationMike Espig, RWTH - Aachen University of

Technology, Germany

5:00-5:20 High-Dimensional Tensor SamplingLars Grasedyck, RWTH - Aachen University

of Technology, Germany; Jonas Ballani, EPFL, France; Melanie Kluge, RWTH Aachen University, Germany

5:25-5:45 Novel Tensor-Product Representations for Uncertaintiy QuantificationReinhold Schneider, Technische Universität

Berlin, Germany

5:50-6:10 Hierarchical Tensor Approximation of Parameter-Dependent PDEsJonas Ballani, EPFL, France; Lars Grasedyck,

RWTH - Aachen University of Technology, Germany; Daniel Kressner, EPFL, Switzerland

Saturday, March 14

MS55Adaptive Model Order Reduction - Part III of III4:35 PM-6:15 PMRoom:250 A

For Part 2 see MS30 Classical model reduction follows a static approach where the reduced-order model is built once in the offline phase and then remains unchanged in the online phase. Adaptive model reduction breaks with this rigid splitting and adapts the reduced order model online. Such adaptive techniques include localization approaches, where one of several pre-computed local models is selected depending on the current state of the system; dictionary approaches, where the reduced basis is assembled on demand from pre-computed basis vectors; and updating methods, which incorporate new data or other information in the reduced-order model.



4:35-4:55 Numerical Study of Local Reduced Basis with Adaptive Training for Incompressible Navier-Stokes FlowsYuqi Wu and Ulrich Hetmaniuk, University

of Washington, USA

5:00-5:20 Real-Time Data-to-Decision Using Adaptive Surrogate Modeling StrategiesLaura Mainini and Karen E. Willcox,


5:25-5:45 An Occam’s Razor Strategy for Field Estimation from Wall-Mounted SensorsKevin Kasper, ENS Cachan, France; Lionel

Mathelin, CNRS, France; Mohamed Abbas-Turki and Hisham Abou-Kandil, ENS Cachan, France

5:50-6:10 Thermal Reduced Order Model Adaptation to Aero-Thermo-Structural InteractionsAndrew Matney and Marc P. Mignolet,

Arizona State University, USA

Saturday, March 14

MS54Computationally Intensive Signature Discovery4:35 PM-6:15 PMRoom:355 D

A signature is a unique or distinguishing measurement, pattern, or collection of data that predicts, detects, or identifies a phenomenon of interest. Signature discovery challenges are commonplace in numerous domains, and they typically involve the following steps: hypothesis generation, identifying observables, specifying the measurement technique, data collection, storage, and manipulation, feature extraction, classification, and validation. The process often requires complex computational tools and methods for data processing and analysis. In this session, we will provide an overview of signature discovery, discuss relevant mathematical and computational tools, and examine signature applications in medical imaging, insect neurology, and social/organizational networks.

Organizer: Landon H. SegoPacific Northwest National Laboratory, USA

4:35-4:55 Computational Tools and Methods for Signature Discovery (Session Overview)Landon H. Sego, Pacific Northwest National

Laboratory, USA

5:00-5:20 Statistics, Learning, and Optimization for Data Analysis and VisualizationRoss Whitaker, University of Utah, USA

5:25-5:45 Computational Analysis of Ensemble Neural Data Recorded From An Insect BrainDebajit Saha, Chao Li, and Barani Raman,

Washington University in St. Louis, USA

5:50-6:10 PhySense: Social and Organizational Network Activity Simulation for Signature Generation and ExtractionVikram Jandhyala and Arun Sathanur,

University of Washington, USA


Saturday, March 14

MS59Advances in Algorithms for Uncertainty Quantification in Large-scale Inverse Problems - Part III of III4:35 PM-6:15 PMRoom:250 E

For Part 2 see MS34 Quantification of uncertainty in large-scale inverse problems governed by partial differential equations presents significant challenges due to computationally expensive parameter-to-observable maps and high-dimensional parameter spaces. This minisymposium presents recent advances in algorithms that make UQ for large-scale linear and nonlinear inverse problems tractable by exploiting problem structure.





4:35-4:55 Mapped Stochastic Newton SamplingGeorg Stadler, Courant Institute of

Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA; Noemi Petra, University of California, Merced, USA

5:00-5:20 Operator Weighted MCMC on Function SpacesTiangang Cui, Massachusetts Institute of

Technology, USA; Kody Law, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Youssef M. Marzouk, Massachusetts Institute of Technology, USA

5:25-5:45 Regularising Ensemble Kalman Methods for PDE-Constrained Inverse ProblemsMarco Iglesias, University of Nottingham,

United Kingdom

5:50-6:10 Estimation of Parameters of Chaotic Dynamic SystemsHeikki Haario, Lappeenranta University of

Technology, Finland

Saturday, March 14

MS58Active Subspaces for Dimension Reduction: Theory and Applications - Part III of III4:35 PM-6:15 PMRoom:250 D

For Part 2 see MS33 Parameter studies like uncertainty quantification and optimization are infeasible for complex simulations with more than a handful of inputs. When a simulation contains several inputs, the engineer may seek an alternative parameterization with fewer variables to enable such studies. Active subspaces are an emerging set of tools for dimension reduction in complex models. The active subspace is a set of directions in the space of input variables that correspond to greater change, on average, in a quantity of interest. This minisymposium will explore (i) recent developments in algorithms that exploit active subspaces and (ii) applications from across engineering disciplines.


4:35-4:55 Influence of Surface and Subsurface Parameter Uncertainty and Sensitivity on the Latent Heat Flux Using An Integrated Hydrologic ModelJennifer Jefferson and Reed M. Maxwell,

Colorado School of Mines, USA

5:00-5:20 Dimension Reduction in MCMC using Active SubspacesCarson Kent and Paul Constantine, Colorado

School of Mines, USA

5:25-5:45 Exploiting Active Subspaces to Quantify Uncertainty in the Numerical Simulation of the HyShot II ScramjetMichael A. Emory and Gianluca Iaccarino,

Stanford University, USA; Johan Larsson, University of Maryland, USA

5:50-6:10 Discovering An Active Subspace in a Single-Diode Solar Cell ModelMark Campanelli, National Renewable

Energy Laboratory, USA; Brian Zaharatos, Colorado School of Mines, USA

Saturday, March 14

MS57Computational Techniques for Time Dependent Coupled Multiphysics and Multiscale Problems - Part III of III4:35 PM-6:15 PMRoom:250 C

For Part 2 see MS32 The simulation of multiphysics and multiscale systems is important for a wide range of applications including fluid structure interaction and conjugate heat transfer. Of particular interest is the formulation of solvers built by reusing codes for the various subproblems for which it is common to use ad hoc coupling or time integration schemes. This minisymposium discusses new and practical approaches to advance the state of the art, and to help bridge the gap between researchers working in the various fields. Important aspects include time adaptivity, high order methods, multirate schemes, stability, extrapolation, coupling conditions, and the overall solver performance.


Organizer: Philipp BirkenLund University, Sweden

4:35-4:55 Fluid-composit Structure InteractionSuncica Canic, University of Houston, USA;

Martina Bukac, University of Notre Dame, USA; Boris Muha, University of Zagreb, Croatia

5:00-5:20 Fractional Modeling of Brain AneurysmsYue Yu, Lehigh University, USA; George E.

Karniadakis, Brown University, USA

5:25-5:45 A Tetrahedral Method for Transient Nonlinear Dynamics Computations in Solids, Fluids and Coupled Fluid Structure ProblemsGuglielmo Scovazzi and Xianyi Zeng, Duke

University, USA; Brian Carnes and David Hensinger, Sandia National Laboratories, USA

5:50-6:10 Second Order Embedded Boundary Methods for Fluid-Structure InteractionAlex Main and Charbel Farhat, Stanford

University, USA


Saturday, March 14

MS62Theory Implementation and Applications of HDG Methods - Part I of II4:35 PM-5:50 PMRoom:251 B

For Part 2 see MS87 In this minisymposium, we will discuss the latest advancements related to the hybrid discontinuous Galerkin (HDG) method. HDG applies a static condensation technique within the DG framework, so that the only globally coupled degrees of freedom are those located on the mesh skeleton or trace space, greatly reducing the global system size. The method is also promising for its applicability to current and emerging parallel architectures. The HDG method has proven to be a popular method and has been applied to a variety of problems such as, steady-state diffusion, Maxwell’s equations, convection-diffusion problems, elastodynamics, Stokes and incompressible Navier-Stokes equations.

Organizer: Hari SundarUniversity of Utah, USA

Organizer: Tan Bui-ThanhUniversity of Texas at Austin, USA

Organizer: Cuong NguyenMassachusetts Institute of Technology, USA

4:35-4:55 Parallel hp-multigrid for HDGTan Bui, University of Texas at Austin,

USA; Hari Sundar, University of Utah, USA

5:00-5:20 HDG Methods for the p-LaplacianBernardo Cockburn, University of

Minnesota, Minneapolis, USA; Jiguang Shen, University of Minnesota, USA

5:25-5:45 HDG Method for Linear ElasticityWeifeng Qiu, City University of Hong Kong,

Hong Kong

Saturday, March 14

MS61Recent Advances in Nuclear Quantum Many-body Computation4:35 PM-6:15 PMRoom:251 A

The nuclear quantum many-body problem is a fundamental problem in nuclear physics. Hurdles in solving this problem include a very strong interaction, three-nucleon interactions, and complicated collective motion dynamics. In recent years, significant progress has been made to overcome these difficulties. In particular, the configuration interaction (CI) method, which requires solving a large-scale eigenvalue problem, has become very efficient on modern high performance computers. New optimization algorithms have been developed to fine tune model parameters and to extrapolate computational results. These new techniques will be described and discussed in this minisymposium.

Organizer: Meiyue ShaoLawrence Berkeley National Laboratory, USA

4:35-4:55 Add, Multiply, Divide and Conquer: On-the-fly Algorithms for Many-body CalculationsCalvin W. Johnson, San Diego State

University, USA

5:00-5:20 Derivative-free Optimization Techniques in ab initio Nuclear Structure CalculationsMasha Sosonkina, Old Dominion University,

USA

5:25-5:45 Symmetry-adapted No-core Shell Model for First Principle Lage Scale Computations of Atomic NucleiTomas Dytrych, Louisiana State University,

USA

5:50-6:10 Multi-Level LOBPCG Method in MFDnMeiyue Shao, Lawrence Berkeley National

Laboratory, USA

Saturday, March 14

MS60Surrogate Global and Integer Optimization for Computationally Expensive Simulations4:35 PM-6:15 PMRoom:250 F

Optimization applications in STEM disciplines often require evaluating a computationally expensive simulation-based objective function (several minutes to hours/simulation). An analytical description of the objective function, its derivatives, and the number of local minima are not available (black-box) and can thus not be exploited by the optimization algorithm. Surrogate models have been developed for continuous optimization to cheaply approximate the objective function and efficiently find the global minimum. However, few surrogate model algorithms exist that are able to address the following: integer variables, incorporation of partial information, and/or efficient parallel computation, all of which will be discussed in this minisymposium.

Organizer: Juliane MuellerLawrence Berkeley National Laboratory, USA

Organizer: David BindelCornell University, USA

Organizer: Christine A. ShoemakerCornell University, USA

4:35-4:55 Miso: Mixed-Integer Surrogate Optimization for Computationally Expensive Black-Box ProblemsJuliane Mueller, Lawrence Berkeley

National Laboratory, USA

5:00-5:20 RBF Response Surfaces with Inequality ConstraintsDavid Bindel, Cornell University, USA

5:25-5:45 Efficient Multi-Start for Global Optimization in Accelerator DesignJeffrey M. Larson and Stefan Wild, Argonne


5:50-6:10 Parallel Surrogate Global Optimization with Pareto Centers for Single Objective Expensive FunctionsChristine A. Shoemaker, Tipaluck

Krityakierne, and Taimoor Akhtar, Cornell University, USA


Saturday, March 14

MS65NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science - Part III of III4:35 PM-6:15 PMRoom:251 E

For Part 2 see MS40 The materials science community has embarked on various large-scale computational projects. We mention the materials genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials. These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Division of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will will highlight opportunities for joint research projects.


4:35-4:55 Materials from MathematicsRichard James, University of Minnesota,

USA

5:00-5:20 Computational Materials Design: Challenges in Practical ApplicationsSadasivan Shankar, Harvard University,

USA

5:25-5:45 Title Not Available at Time of PublicationMichael S. Vogelius, Rutgers University,

New Brunswick, USA

5:50-6:10 Title Not Available at Time of PublicationMary Galvin-Donoghue, National Science

Foundation, USA

Saturday, March 14

MS64Efficient High-order Numerical Methods for Nonlinear PDEs - Part II of II4:35 PM-6:15 PMRoom:251 D

For Part 1 see MS15 Recent years have seen growing trends in the development of efficient high-order numerical schemes for nonlinear PDEs including hyperbolic equations, Hamilton-Jacobi equations, and quantum and kinetic models. Many challenges in computational efficiency, accuracy, multi-scales, and theoretical foundations are actively addressed for various applications. This minisymposium will bring together researchers to exchange ideas and recent developments in these fields, with applications such as rarefied gas dynamics, semi-conductor simulation, optimal transportation and optimal control.

Organizer: Yingda ChengMichigan State University, USA


4:35-4:55 High Order Methods for Traveltime and Amplitude in Geometrical OpticsSongting Luo, Iowa State University, USA;

Jianliang Qian, Michigan State University, USA; Robert Burridge, University of New Mexico, USA

5:00-5:20 High-Order Gas Evolution Model for Computational Fluid DynamicsKun Xu, University of Science &

Technology, Hong Kong

5:25-5:45 An Efficient Spectral Method for the Euler-Lagrange Equations of Minimum Action MethodsHaijun Yu, Institute of Computational

Mathematics, China; Xiaoliang Wan, Louisiana State University, USA

5:50-6:10 Higher-Order Filtered Methods for Nonlinear Partial Differential EquationsBrittany Froese, University of Texas at

Austin, USA; Adam M. Oberman, McGill University, Canada

Saturday, March 14

MS63Innovative Algorithms for Eigenvalue and Singular Value Decomposition - Part III of III4:35 PM-6:15 PMRoom:251 C

For Part 2 see MS38 The minisymposium will focuses on the first steps taken on the development of novel software methodologies and algorithm for the next generation of HPC systems. Some scale challenges will be addressed; the goal is to close the “application-architecture peak performance gap” by exploring algorithms and runtime improvements that will enable key science applications to better exploit the architectural features of the extreme-scale systems. The contributed talks will cover new approaches that can overcome the limitations of existing dense/sparse eigensolver libraries on platforms that require fine granularity and memory-aware computational tasks combined with asynchronism in parallel execution.




4:35-4:55 Revisiting SVD(A) through EIG(T) for Sca/LAPACKOsni A. Marques, Lawrence Berkeley


5:00-5:20 Solving a Parameterized Eigenvalue Problem from Regularized Total Least SquaresJesse L. Barlow, Geunseop Lee, and

Haoying Fu, Pennsylvania State University, USA

5:25-5:45 Performance Evaluation of EigenExa Dense Eigensolver on the Oakleaf-Fx Supercomputer SystemTakeshi Fukaya and Toshiyuki Imamura,

RIKEN, Japan

5:50-6:10 Scaling Comparison of Dense Eigensolvers and Purification Techniques to Large Node CountsXing Liu and Edmond Chow, Georgia



Saturday, March 14

MS68Parallel Programming Models, Algorithms and Frameworks for Extreme Computing - Part III of III4:35 PM-6:15 PMRoom:254 B

For Part 2 see MS43 Multicore/manycore processors and accelerators are universally available as both collections of homogeneous standard microprocessors and as attached heterogeneous co-processors. Application and library software developers may often effectively use these processors and some general approaches have emerged. It is widely recognized that careful design of software and data structures, with effective memory management, are the most critical issues to obtain scalable optimized performance on those systems. In these minisymposia we discuss current experiences and development of applications, libraries and frameworks using a variety of hardware. Speakers will address performance results and software design.




4:35-4:55 Intelligent Iterative Methods: the Future of Parallel and Distributed Runtime Tuned Linear Algebra?Serge G. Petiton, CNRS/LIFL and INRIA,

France

5:00-5:20 Performance of Algebraic Multigrid Preconditioners for Large-Scale Finite Element SimulationsPaul Lin and John Shadid, Sandia National

Laboratories, USA

5:25-5:45 Divide and Conquer Algorithms for Large Hermitian Eigenvalue ProblemsYousef Saad, University of Minnesota, USA;

Vasilis Kalantzis, University of Patras, Greece

5:50-6:10 Unit and Conquer Algorithms for Large Eigenvalue ProblemsNahid Emad, University of Versailles, France

Saturday, March 14

MS67The Development of Unstructured High Order Methods for Industrial Scale-resolving Simulations4:35 PM-6:15 PMRoom:254 A

Through their algorithmic efficiency and guaranteed accuracy, unstructured high-order methods (HOM) seem to provide enabling technology for accurate, adaptive and timely scale-resolving simulations in complex geometries. This minisymposium addresses the following topics - development or the adaptation of LES subgrid scale models and hybrid/wall models in close interaction with the discretisation; - assessment on academic benchmarks, including on irregular meshes; - development of hp-adaptive strategies; - industrial applications; - practical aspects such as large scale parallellisation, non-matching connections, post or co-processing .... Both finite element-like methods (DGM, SDM, FR, RDS, ...) as well as high- order FVM or FDM are considered.

Organizer: Koen HillewaertCENAERO, Belgium

Organizer: Andrea D. BeckUniversity of Stuttgart, Germany

4:35-4:55 The Application of High Order Dgm for Resolved and Wall-Modeled Les of Full Scale Turbomachinery PassagesKoen Hillewaert and Corentin Carton de

Wiart, CENAERO, Belgium; Guillaume Verheylewegen, Université Catholique de Louvain, Belgium; Ariane Frère, CENAERO, Belgium

5:00-5:20 The Use of Residual-Based Compact Schemes for Industrial LesPaola Cinnella, ENSAM, ParisTech, France;

Cédric Content and Luca Sciacovelli, Arts et Metiers PARISTECH, France

5:25-5:45 Validation of a High-Order Implicit Les Solver for the Simulation of a Low-Reynolds-Number Vertical-Axis Wind TurbineSamuel Kanner and Per-Olof Persson,

University of California, Berkeley, USA

5:50-6:10 Applications of the Spectral/hp Element Method to Complex Flow GeometriesDavid Moxey, Joaquim Peiro, and Spencer

Sherwin, Imperial College London, United Kingdom

Saturday, March 14

MS66Volume Penalty and Fourier Methods for PDEs on Irregular Domains - Part II of II4:35 PM-6:15 PMRoom:251 F

For Part 1 see MS41 Volume penalty methods allow one to extend the domain that a partial differential equation is defined on (ie. an irregular geometry) to that of a simple rectangular domain through the addition of a volume penalty, forcing term. The resulting penalized equations then provide a flexible and efficient framework for solving (moving) interface and boundary problems via a solution using I) equispaced grids, ii) Nonconforming FEM, iii) Fourier methods. This minisymposium brings together mathematicians and practitioners to discuss both theoretical aspects such as convergence rates and stability, as well as applications and simulations of physical phenomena.

Organizer: David ShirokoffNew Jersey Institute of Technology, USA

4:35-4:55 New Active Penalty Methods with Applications to Fluid FlowJean-Christophe Nave, McGill University,

Canada

5:00-5:20 Penalty Methods for the Hyperbolic System Modeling the Wall-Plasma Interaction in a TokamakPhilippe Angot, Thomas Auphan, and Olivier

Guès, Aix-Marseille Université, France

5:25-5:45 A Dispersionless Fourier Method for the Maxwell Equations Using Volume PenalizationRyan Galagusz, McGill University, Canada

5:50-6:10 Fourier based PDE Solution on Complex DomainsMark Lyon, University of New Hampshire,

USA


5:00-5:20 Effective High-Order Diffusive Moment Closures with the StaRMAP SoftwareBenjamin Seibold, Temple University, USA;

Martin Frank, RWTH - Aachen University of Technology, Germany

5:25-5:45 An Asymptotic-preserving Scheme for Linear Kinetic Equation with Fractional Diffusion LimitLi Wang, University of California, Los

Angeles, USA

5:50-6:10 Energy-Conserving Schemes for Vlasov-Type SystemsYingda Cheng, Michigan State University,

USA

Saturday, March 14

MS70Computational Methods for Kinetic Equations and Related Models - Part III of V4:35 PM-6:15 PMRoom:150 AB







4:35-4:55 High Order Asymptotic Preserving Projective Integration MethodsPauline Lafitte, Ecole Centrale Paris, France;

Annelies Lejon, Ward Melis, and Giovanni Samaey, Katholieke Universiteit Leuven, Belgium

Saturday, March 14

MS69One-Shot Methods for Optimization with PDEs4:35 PM-6:15 PMRoom:254 C

One-shot methods for optimization with PDEs aim at achieving simultaneously convergence of the primal PDE state equation, the adjoint state equation and the design equation. The direction and size of the one-shot optimization steps are usually determined by carefully selected design space preconditioners. It turns out, that one-shot methods enable quite often designs for the computational effort of a small, constant multiple of the effort of a simulation, especially if the primal PDE solve is very expensive. The minisymposium presents recent developments in the field of one-shot methods for optimization with PDEs and its potential by showing large scale applications.

Organizer: Andrea WaltherUniversität Paderborn, Germany

Organizer: Nicolas R. GaugerTechnische Universität Kaiserslautern, Germany

4:35-4:55 Augmenting the One-Shot Framework by Additional ConstraintsTorsten F. Bosse, Argonne National

Laboratory, USA; Andreas Griewank, Humboldt University Berlin, Germany

5:00-5:20 Towards Second Order One-Shot Methods in the Context of Shape CalculusVolker H. Schulz, University of Trier,

Germany

5:25-5:45 Fixed-Point Iterations for Simultaneous One-Shot Optimization of Unsteady FlowsStefanie Günther, Technical University

Kaiserslautern, Germany; Nicolas R. Gauger, Technische Universität Kaiserslautern, Germany; Qiqi Wang, Massachusetts Institute of Technology, USA

5:50-6:10 On An Extension of the Augmented Lagrangian Approach for One-Shot OptimizationAndrea Walther, Universität Paderborn,

Germany; Nicolas R. Gauger, Technische Universität Kaiserslautern, Germany



Saturday, March 14

MS72Career Fair: Alternatives to Academia - Part III of III4:35 PM-6:15 PMRoom:255

For Part 2 see MS47 The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.

Organizer: William G. KolataSIAM, USA


This is the most current list at time fo printing.• Argonne National Laboratory

• Boeing


• Kitware



• MathWorks



• NSA

• NVIDIA


• Quantlab


5:25-5:45 Advances on Ice-Sheet Model Initialization using the First Order ModelMauro Perego, Sandia National

Laboratories, USA; Stephen Price, Los Alamos National Laboratory, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Michael S. Eldred, Sandia National Laboratories, USA; Charles Jackson, University of Texas at Austin, USA; John D. Jakeman, Irina Kalashnikova, and Andrew Salinger, Sandia National Laboratories, USA

5:50-6:10 Uncertainty Quantification for Large-Scale Bayesian Inverse Problems with Application to Ice Sheet ModelsNoemi Petra, University of California,

Merced, USA; Toby Isaac, University of Texas at Austin, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA

Saturday, March 14

MS71Advances in Large-scale Forward and Inverse Ice Sheet Modeling - Part II of II4:35 PM-6:15 PMRoom:150 DE

For Part 1 see MS46 Model-based projections of the dynamics of the polar ice sheets play a central role in anticipating future sea level rise. However, a number of mathematical and computational challenges place significant barriers on improving predictability of these models. These include complex and very high-aspect ratio geometries, highly nonlinear and anisotropic rheology, extremely ill-conditioned (non)linear systems, broad range of length scales, and unknown model parameters that must be inferred from heterogeneous observations, leading to an ill-posed inverse problem and the need to quantify uncertainties in its solution. Speakers in this minisymposium will address these challenges and present recent developments aimed at overcoming them.

Organizer: Noemi PetraUniversity of California, Merced, USA


Organizer: Irina KalashnikovaSandia National Laboratories, USA


4:35-4:55 Multilevel Methods for Forward and Inverse Ice Sheet ModelingToby Isaac, University of Texas at Austin,

USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA

5:00-5:20 Assessment of Finite Element Schemes for Accurate Modeling of the Grounding LineMathieu Morlighem, University of

California, Irvine, USA; Jerome Monnier, Institut de Mathématiques de Toulouse, France; Helene Seroussi, California Institute of Technology, USA; Nathan Martin, CNRS, France



Saturday, March 14

MS74Large-Scale Inversion and Uncertainty Mitigation4:35 PM-6:15 PMRoom:260 B

On top of the conventional challenges that inversion introduces, such as appropriate incorporation of a-priori information and experimental design, inversion of large-scale problems requires consideration of the interplay between model reduction and model misspecification as well as means for uncertainty quantification and mitigation. In this minisymposium session, we shall explore various algorithmic strategies to handle these aspects.

Organizer: Lior HoreshIBM T.J. Watson Research Center, USA

Organizer: Stephen BeckerUniversity of Colorado Boulder, USA

4:35-4:55 Fast Algorithms for Linear Inverse Problems with Gaussian PriorsKenneth L. Ho and Lexing Ying, Stanford

University, USA

5:00-5:20 Accelerating MCMC with Parallel Local ApproximationsPatrick R. Conrad and Youssef M. Marzouk,

Massachusetts Institute of Technology, USA; Natesh Pillai, Harvard University, USA; Aaron Smith, University of Ottawa, Canada

5:25-5:45 Random Matrix Models for the Representation of Model Inadequacy: A Case Study in Chemical KineticsRebecca Morrison and Robert D. Moser,


5:50-6:10 Convex Relaxations of Polynomial Imaging ProblemsLaurent Demanet and Augustin Cosse,


5:50-6:10 A Polarized-Trace Preconditioner for 2D Helmholtz and Frequency Domain Full-Waveform InversionRussell Hewett, Total E&P, USA; Leonardo

Zepeda-Nunez and Laurent Demanet, Massachusetts Institute of Technology, USA

Saturday, March 14

MS73Efficient and Accurate Solution Techniques for Variable Coefficient Elliptic Partial Differential Equations - Part II of II4:35 PM-6:15 PMRoom:260 A

For Part 1 see MS48 Efficient and accurate numerical methods for solving variable coefficient partial differential equations are important for many applications such as seismic imaging and metamaterial design. A variety of techniques including finite element, discontinuous Galerkin, and integral equation methods have been developed to tackled these challenging problems. This session brings together researchers from a broad range of research communities in an effort to build an understanding of the different techniques and open problems in the field.

Organizer: Adrianna GillmanRice University, USA

Organizer: Lise-Marie Imbert-GérardCourant Institute of Mathematical Sciences, New York University, USA

4:35-4:55 Generalized Plane Waves Adapted to Varying CoefficientsLise-Marie Imbert-Gérard, Courant Institute

of Mathematical Sciences, New York University, USA

5:00-5:20 Fast Multipole Method as a Preconditioner for Finite Discretizations of Elliptic Boundary Value ProblemsHuda Ibeid, Rio Yokota, and David E. Keyes,

King Abdullah University of Science & Technology (KAUST), Saudi Arabia

5:25-5:45 Fast Direct Solver based on the Cyclic Reduction Algorithm and Hierarchical Matrix Arithmetic for the Solution of Variable-coefficient Elliptic PDEsGustavo Chavez, King Abdullah University

of Science & Technology (KAUST), Saudi Arabia; George M. Turkiyyah, American University of Beirut, Lebanon; Rio Yokota and David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia



Saturday, March 14

MS77Software Process for a CASL Sustainable Simulation Software Solution4:35 PM-6:15 PMRoom:151 G

This minisymposium will focus on the software development process used to create Hydra-TH, a CFD code for the Consortium for Advanced Simulation of Light Water Reactors (CASL). We delve into the fine level details of cross- platform builds, effective testing, and collaborative development workflows needed to create a scalable, general purpose CFD code. This includes open source tools to help manage these complexities. Additionally, we include In Situ simulation visualization and analysis along with preprocessing tools ensuring that CFD analysts can effectively use Hydra-TH for performing their desired work. An entire workflow including software and model analysis development will be presented.

Organizer: Bill HoffmanKitware, Inc., USA

4:35-4:55 Software Quality with the Open Source Tools CMake, CDash, CTestBill Hoffman, Kitware, Inc., USA

5:00-5:20 Tribits: Tribal Build, Integrate, and Test SystemRoscoe Bartlett, Oak Ridge National

Laboratory, USA

5:25-5:45 Developing Hydra-TH: A Vertical, VERA-integrated Application based on the Hydra ToolkitMark Christon, Jozsef Bakosi, and Markus

Berndt, Los Alamos National Laboratory, USA; Andrew Bauer, Kitware, Inc., USA; Alan Stagg, Oak Ridge National Laboratory, USA; Balasubramanya Nadiga, Los Alamos National Laboratory, USA; Patrick O’Leary, Kitware, Inc., USA

5:50-6:10 Computational Model Builder and ParaView Catalyst: Empowering HPC WorkflowsAndrew Bauer, Patrick O’Leary, Robert

O’Bara, and Berk Geveci, Kitware, Inc., USA

Saturday, March 14

MS76Computational Models of Cardiac Growth and Remodeling4:35 PM-6:15 PMRoom:151 DE

Understanding the processes of cardiac growth and remodeling is of substantial clinical relevance, in particular for improved treatment of heart failure. Computational models for soft tissue growth have been established in the framework of continuum mechanics, and are valuable tools for studying growth mechanisms and testing physiological hypotheses. However, model development and analysis is challenging, in particular because of the complexity and extreme multiscale nature of the processes involved. In this minisymposium we address recent developments in computational models of growth and remodeling. Specific topics will include mathematical model development, numerical solution methods, and clinically relevant applications such as heart failure.

Organizer: Joakim SundnesSimula Research Laboratory, Norway

Organizer: Samuel WallSimula Research Laboratory, Norway

4:35-4:55 Modeling Growth and Remodeling in Heart Muscle TissueJoakim Sundnes, Simula Research

Laboratory, Norway

5:00-5:20 A Computational Model of Reverse Cardiac Growth in Response to Mechanical StimulusLik Chuan Lee, Michigan State University,

USA

5:25-5:45 Human Fetal Growth Model of Hypoplastic Left Heart SyndromeAdarsh Krishnamurthy, University of

California, San Diego, USA

5:50-6:10 Finite Element Models of Growth and Remodelling in the Infarct Injured Left VentricleSamuel Wall, Simula Research Laboratory,

Norway

Saturday, March 14

MS75Advances in Radial Basis Function and Other Meshfree Methods - Part III of V4:35 PM-6:15 PMRoom:151 AB




4:35-4:55 RBF-Based Partition of Unity Collocation Methods for the Numerical Solution of PDEsElisabeth Larsson, Uppsala University,

Sweden; Alfa Heryudono, University of Massachusetts, Dartmouth, USA

5:00-5:20 Multilevel Collocation with Radial Basis FunctionsPatricio Farrell, Weierstrass Institute

for Applied Analysis and Stochastics, Germany

5:25-5:45 Kernel-based Image Reconstruction from Scattered Radon DataArmin Iske, University of Hamburg,

Germany

5:50-6:10 Dealing with Multiple Boundary Conditions in the RBF Collocation MethodAlfa Heryudono, University of

Massachusetts, Dartmouth, USA


Saturday, March 14

Professional Development Evening Interdisciplinary Research:

Sustaining a Successful Program8:30 PM-9:30 PMRoom:355 D

Chair: Maria Emelianenko, George Mason University, USA

Chair: Cammey Cole Manning, Meredith College, USA

Chair: Sven Leyffer, Argonne National Laboratory, USA

Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, training opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics. The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session. This networking session will take place immediately prior to this panel.

Panelists:Andrea BertozziUniversity of California, Los

Angeles, USA

Fariba FahrooAir Force Office of Scientific

Research, USA

Omar GhattasUniversity of Texas at Austin, USA

Jeffrey HittingerLawrence Livermore National

Laboratory, USA

Wil SchildersTechnische Universiteit

Eindhoven, The Netherlands

Saturday, March 14Professional Development Evening: Networking Reception7:30 PM-8:30 PMRoom:355 D

Saturday, March 14

Professional Development Evening Getting Started with Interdisciplinary Research:

Challenges and Opportunities6:30 PM-7:30 PMRoom:355 D

Chair: Maria Emelianenko, George Mason University, USA

Chair: Cammey Cole Manning, Meredith College, USA

Chair: Sven Leyffer, Argonne National Laboratory, USA

Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, training opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics. The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session. This networking session will take place immediately following this panel.

Panelists: Richard BraunUniversity of Delaware, USA

Thomas GrandineThe Boeing Company, USA

C.T. KelleyNorth Carolina State University,

USA

Carol WoodwardLawrence Livermore National

Laboratory, USA


Sunday, March 15

MT1Minitutorial: Python Visual Analytics for Big Data - Part I of II9:10 AM-10:50 AMRoom:355

For Part 2 see MT2 Chair: Jonathan Woodring, Los Alamos National Laboratory, USA

Python is a powerful development, computational, and programming environment due to the wide variety of libraries developed for it, and importantly, the enthusiastic, active development and user community. One of the areas where Python excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual analytics. This tutorial will cover the following big-data visualization capabilities in Python: interactive plotting with IPython, matplotlib, and databases, building web visualizations with Bokeh, and Python integration with VTK and ParaView. Additional information will be provided on mapreduce and NoSQL capabilities. This tutorial is intended for intermediate-level participants who have a basic understanding of the Python language and development environment (i.e., the student ought to have an understanding of native (and ideally numpy) data structures, file I/O, and is able to develop and run simple programs). Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and program execution will not be covered in this tutorial.

Topic A: IPython + Matplotlib using SQliteJoseph Cottam, Indiana University, USA

Topic B: NumPy + SciPy + Pandas using Postgres & HDF5Jonathan Woodring, Los Alamos National

Laboratory, USA

Sunday, March 15

IP3Petascale Finite Element Simulation of Real World’s Complex Structure with Billions DOFs Model8:15 AM-9:00 AMRoom:355

Chair: Feng Xiao, Tokyo Institute of Technology, Japan

Leading supercomputers offer the computing power of petascale, and exascale systems are expected to be available by the end of this decade. Supercomputers with more than tens of thousands of computing nodes, each of which has many cores cause serious problems in practical finite element software. We have been developing an open source parallel finite element software known as ADVENTURE, which enables very precise analyses of practical structures and machines using over 100 million to billions DOFs mesh. The basic parallel solution algorithms employed are the hierarchical domain decomposition method with balancing domain decomposition as preconditioner. In this talk, I explain several key technologies and one practical application, i.e. seismic response of nuclear power plant subjected to a strong earthquake.

Shinobu YoshimuraUniversity of Tokyo, Japan

Intermission9:00 AM-9:10 AM

Sunday, March 15

Student Days: Student Chapter Meeting with SIAM Leadership (by invitation only)7:00 AM-8:00 AMRoom:255 D


Announcements8:10 AM-8:15 AMRoom:355


10:25-10:45 Fluid-Structure-Interaction in Computational Hemodynamcis using Nonlinear Hyperelastic Arterial Wall ModelsDaniel Balzani, University of Duisburg-

Essen, Germany; Simone Deparis, École Polytechnique Fédérale de Lausanne, Switzerland; Simon Fausten, University of Duisburg-Essen, Germany; Davide Forti, École Polytechnique Fédérale de Lausanne, Switzerland; Alexander Heinlein and Axel Klawonn, Universität zu Köln, Germany; Alfio Quarteroni, École Polytechnique Fédérale de Lausanne, Switzerland; Oliver Rheinbach, Technische Universitaet Bergakademie Freiberg, Germany; Jörg Schröder, University of Duisburg-Essen, Germany

Sunday, March 15

MS79Large Scale Solution Methods for Coupled and Nonlinear Problems9:10 AM-10:50 AMRoom:355 D

The devlopment of solution methods for coupled (e.g. fluid structure interaction) and nonlinear (e.g. nonlinear mechanics) problems is highly challenging. In particular in the context of large scale problems, this might require non-standard approaches for discretization and solution methods, as the simple combination of standard methods for the respective sub-problems or the application of, e.g., Newton’s-method, might lead to stability, efficiency, or scalability constraints. In this minisymposium, we therefor focus on solution methods, which are a priori designed for the solution of coupled and non-linear problems on parallel machines.

Organizer: Rolf KrauseUniversity of Lugano, Switzerland

Organizer: Johannes SteinerUniversity of Lugano, Switzerland

9:10-9:30 A Scalable Monolithic Solver for the Coupling of a Finite Element and a Finite Volume Method for Fluid-Structure-InteractionJohannes Steiner and Rolf Krause,

University of Lugano, Switzerland

9:35-9:55 Parallel Scalable FETI Methods for Nonlinear ProblemsAxel Klawonn and Martin Lanser,

Universität zu Köln, Germany; Oliver Rheinbach, Technische Universitaet Bergakademie Freiberg, Germany

10:00-10:20 Adaptive Spectral Deferred Correction Methods for Cardiac SimulationMartin Weiser, Zuse Institute Berlin,

Germany

Sunday, March 15

MS78Teaching Computational Thinking and Practice9:10 AM-10:50 AMRoom:355 A

As dependence on computational tools increases, so does the need for better computational training. We discuss our own efforts to provide such training. We address several larger questions including: What is the role of computational training in our various fields? How can we scale training to meet demand? What technologies, languages, principles, and practices should we teach? What is the right balance between conceptual learning and hands-on training and practice? More generally, how should we train the next generation of scientists, statisticians, and engineers in computational methods and practices?

Organizer: Kenneth J. MillmanUniversity of California, Berkeley, USA

Organizer: Philip B. StarkUniversity of California, Berkeley, USA

9:10-9:30 Teaching Statistical Computing to UndergraduatesKenneth J. Millman and Philip B. Stark,


9:35-9:55 Opportunities and Experiences with Teaching Computational Science from the Very Start of University StudiesHans Petter Langtangen, Simula Research

Laboratory and University of Oslo, Norway

10:00-10:20 Teaching Data Science from a Computer Science Perspective: Experience from a First MoocBill Howe, University of Washington, USA

10:25-10:45 Teaching Computing to EngineersLorena A. Barba, George Washington

University, USA



Sunday, March 15

MS82Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part I of IV - General Topics9:10 AM-10:50 AMRoom:250 C

For Part 2 see MS107 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisympoisum different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.

Organizer: Keita TeranishiSandia National Laboratories, USA

Organizer: Luc GiraudINRIA, France


Organizer: Emmanuel AgulloINRIA, France

9:10-9:30 Resilient Programming ModelsMichael Heroux, Sandia National

Laboratories, USA

9:35-9:55 Title Not Available at Time of PublicationGeorge Bosilca, University of Tennessee,

Knoxville, USA

10:00-10:20 Portable Programming and Runtime Support for Application-Controlled Resilience in Large-Scale Scientific ApplicationsAndrew A. Chien, University of Chicago

and Argonne National Laboratory, USA; Hajime Fujita, Zachary Rubenstein, Nan Dun, Aiman Fang, and Ziming Zheng, University of Chicago, USA

10:25-10:45 MPI Fault Tolerance: The Good, The Bad, The UglyMartin Schulz, Lawrence Livermore National

Laboratory, USA

Sunday, March 15

MS81High-dimensional Approximation and Integration: Analysis and Computation - Part I of V9:10 AM-10:50 AMRoom:250 B

For Part 2 see MS106 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and “best-N-term” approximations.

Organizer: Clayton G. WebsterOak Ridge National Laboratory, USA

Organizer: Guannan ZhangOak Ridge National Laboratory, USA

Organizer: Max GunzburgerFlorida State University, USA

Organizer: Albert CohenUniversité Pierre et Marie Curie, France

9:10-9:30 A Theory for Model VerificationRonald DeVore, Texas A&M University,

USA

9:35-9:55 High-Order Digital Nets for Parametric and Stochastic Operator EquationsChristoph Schwab, ETH Zürich, Switzerland

10:00-10:20 Low-Rank Adaptive Tensor ApproximationWolfgang Dahmen, RWTH Aachen,

Germany

10:25-10:45 Multivariate Decomposition Methods $\infty$-Variate ProblemsGrzegorz W. Wasilkowski, University of

Kentucky, USA

Sunday, March 15

MS80Computational Engineering (BGCE) Student Paper Prize - Part I of II9:10 AM-10:50 AMRoom:250 A

For Part 2 see MS105 The 5th Bavarian Graduate School in Computational Engineering (BGCE) Student Paper Prize will be awarded at the 2015 SIAM CS&E Conference for outstanding student work in the field of Computational Science and Engineering. Eligible for the prize will be undergraduate and graduate students prior to receiving their PhD. Candidates are required to summarize their work in a short paper of at most 4 pages. The prize finalists will present their work in this minisymposium. The prize award announcement will be scheduled at one of the last days of the conference.

Organizer: Tobias NeckelTechnische Universität München, Germany

Organizer: Hans-Joachim BungartzTechnische Universität München, Germany

Organizer: Ulrich J. RuedeUniversity of Erlangen-Nuremberg, Germany



Sunday, March 15

MS85Advanced Finite Element Methods for Nonlinear Materials and Fluids - Part I of III9:10 AM-10:50 AMRoom:250 F

For Part 2 see MS110 Numerical modeling of materials and fluids with nonlinear behavior plays an increasing role in computational science and engineering, particularly in the high-fidelity simulation of elastic and plastic deformations, magneto-sensitive materials, liquid crystals, biological tissues and blood flow, among others. Despite a long history of efforts, there is still a need for the development of advanced finite-element methods with specific properties such as accurate representation of stresses, forces, and other quantities depending on the application. In many of these applications, mesh-adaptive implementations and efficient solvers are an important issue due to the size and complexity of the problems.

Organizer: James H. AdlerTufts University, USA

Organizer: Gerhard StarkeUniversity of Duisburg-Essen, Germany

Organizer: Thomas ManteuffelUniversity of Colorado Boulder, USA

9:10-9:30 First-Order System Least Squares for Isotropic and Anisotropic Materials in HyperelasticityBenjamin Müller, Gerhard Starke, and Jörg

Schröder, University of Duisburg-Essen, Germany

9:35-9:55 Momentum Balance Accuracy in Finite Element Methods for ElastoplasticityGerhard Starke, University of Duisburg-

Essen, Germany

10:00-10:20 Modeling Magneto-Mechanical Interactions in Deformable SolidsJames H. Adler, Luis Dorfmann, Dong Han,

Scott Maclachlan, and Chris Paetsch, Tufts University, USA

10:25-10:45 Advanced Finite Element Methods for Chemo-Electromechanical Skeletal Muscle MechanicsOliver Rohrle, Thomas Heidlauf, Mylena

Mordhorst, and Daniel Wirtz, University of Stuttgart, Germany

Sunday, March 15

MS84Error Analysis and Scalability of UQ Methodologies for Inverse Problems - Part I of II9:10 AM-10:50 AMRoom:250 E

For Part 2 see MS109 The application of novel uncertainty quantification (UQ) methodologies to solve stochastic inverse problems for a physical system has improved the predictive capabilities of many computationally complex models. However, a full error analysis and study of scalability for the combined UQ method and computational model is often lacking. This session addresses the issues of error analysis and scalability of several UQ methods applied to stochastic inverse problems associated with specific complex physical systems. Both a priori and a posteriori error analyses of deterministic and stochastic sources of error are considered along with computational challenges in scaling such analyses.

Organizer: Troy ButlerUniversity of Colorado, Denver, USA

Organizer: Steven MattisUniversity of Texas at Austin, USA

9:10-9:30 Quantifying Errors in a Probabilistic Solution to Stochastic Inverse Problems for Physics-Based ModelsTroy Butler, University of Colorado, Denver,

USA

9:35-9:55 Adaptive Measure-Theoretic Inverse Techniques for High Dimensional Parameter Domains and Complex Multi-Scale ModelsLindley C. Graham, University of Texas at

Austin, USA; Troy Butler, University of Colorado, Denver, USA; Clint Dawson, University of Texas at Austin, USA

10:00-10:20 Optimizing Quantities of Interest in High Dimensions to Improve Solutions to Inverse ProblemsScott Walsh, University of Colorado, Denver,

USA

10:25-10:45 Region of Influence Sensitivty Analysis for Time Dependant ProblemsVaris Carey and Robert D. Moser,


Sunday, March 15

MS83Preconditioning and Iterative Methods for Linear Systems - Part I of II9:10 AM-10:50 AMRoom:250 D

For Part 2 see MS108 The solution of large, sparse linear systems remains the limiting component of many problems. Iterative solvers are often the methods of choice for such systems, and effective preconditioning is usually necessary to achieve an acceptable speed of convergence. In this minisymposium we focus on recent developments in preconditioning, the convergence of solvers and the application of iterative methods.

Organizer: Jennifer PestanaUniversity of Manchester, United Kingdom

Organizer: Andy WathenUniversity of Oxford, United Kingdom

9:10-9:30 Convergence of Stationary Iteration with Indefinite PreconditionerAndy Wathen, University of Oxford, United

Kingdom

9:35-9:55 Preconditioning for Various Cahn-Hilliard SystemsJessica Bosch and Martin Stoll, Max Planck

Institute, Magdeburg, Germany

10:00-10:20 Null-Space Based Preconditioners for Saddle-Point SystemsRon Estrin and Chen Greif, University of

British Columbia, Canada

10:25-10:45 Unreduced Symmetric KKT Systems Arising from Interior Point MethodsMattia Tani and Valeria Simoncini,

Universita’ di Bologna, Italy; Benedetta Morini, Universita’ di Firenze, Italy


Sunday, March 15

MS87Theory Implementation and Applications of HDG Methods - Part II of II9:10 AM-10:50 AMRoom:251 B

For Part 1 see MS62 In this minisymposium, we will discuss the latest advancements related to the hybrid discontinuous Galerkin (HDG) method. HDG applies a static condensation technique within the DG framework, so that the only globally coupled degrees of freedom are those located on the mesh skeleton or trace space, greatly reducing the global system size. The method is also promising for its applicability to current and emerging parallel architectures. The HDG method has proven to be a popular method and has, in recent years, been applied in the context of steady-state diffusion, Maxwell’s equations, convection-diffusion problems, elastodynamics, Stokes and incompressible Navier-Stokes equations.

Organizer: Hari SundarUniversity of Utah, USA


Organizer: Cuong NguyenMassachusetts Institute of Technology, USA

9:10-9:30 Multiscale Hybridizable Discontinuous Galerkin MethodsCuong Nguyen, Joel Saa-Seoane, David

Moro, Francisco J. Roca, and Jaime Peraire, Massachusetts Institute of Technology, USA

9:35-9:55 To CG or HDG: Updates on Our Comparative StudyMike Kirby and Sergey B. Yakovlev,


10:00-10:20 Stable and Robust Hybridized Discontinuous Galerkin Methods for High Reynolds Number Flow ProblemsKrzysztof Fidkowski and Johann Dahm,

University of Michigan, USA

10:25-10:45 A Computational Framework for Target-Based HP-Adaptation in Compressible Flow Simulation Using HDG MethodsGeorg May and Michael Woopen, RWTH

Aachen University, Germany

10:00-10:20 Efficient Approaches for Optimal Active Flow ControlNicolas R. Gauger, Technische Universität

Kaiserslautern, Germany; Anil Nemili, Emre Özkaya, and Stefanie Günther, Technical University Kaiserslautern, Germany

10:25-10:45 Aerodynamic Design for Unsteady Flows Using An Adjoint ApproachEric Nielsen, NASA Langley Research

Center, USA; Boris Diskin, National Institute of Aerospace, USA

Sunday, March 15

MS86Adjoint Methods for Unsteady and Chaotic PDEs and Large-scale Optimization and Control - Part I of II9:10 AM-10:50 AMRoom:251 A

For Part 2 see MS111 We expose a growing intersection of optimization and control using large-scale, unsteady PDE-based simulations. This intersection has traditionally been small because most practitioners perform optimization and control using inexpensive, reduced order models; however, this is changing. Current-day simulations solving unsteady and chaotic PDEs, such as the Navier-Stokes equations, are leveraging advance in high performance computing. Petascale, and soon exascale, supercomputers are increasingly available to researchers, enabling them to attempt optimization and control directly using large-scale simulations. The resulting area of large-scale optimization and control, particularly with the aid of the unsteady adjoint method, is the theme of this proposed minisymposium.

Organizer: Qiqi WangMassachusetts Institute of Technology, USA


Organizer: Daniel J. BodonyUniversity of Illinois at Urbana-Champaign, USA

9:10-9:30 Optimal Wall-Forcing for Compressible Wall-Bounded Flows Using Adjoint TechniquesTaraneh Sayadi and Peter Schmid, Imperial

College London, United Kingdom

9:35-9:55 A Coupled CFD – CAA Adjoint Method for Aeroacoustic Optimization and Error EstimationEnrico Fabiano, Dimitri Mavriplis, and Jay

Sitaraman, University of Wyoming, USA



9:10-9:30 Recovering Exponential Accuracy in Spectral Methods Involving Piecewise Smooth Functions with Unbounded Derivative SingularitiesZheng Chen, Iowa State University, USA

9:35-9:55 Efficient High-Order Algorithms for Solving Drift-Diffusion SystemsYing He, University of California, Davis,

USA

10:00-10:20 Estimating Residual Stresses in Arteries by an Inverse Spectral TechniqueSunnie Joshi, Temple University, USA

10:25-10:45 Force-based Blended Atomistic-to-continuum Coupling Method for Crystals: Theory and ComputationsXingjie Li, Brown University, USA

Sunday, March 15

MS89AWM Meeting - Workshop: Research Talks by Recent Ph.D.s:Mathematical Modeling and High-Performance Computing for Multiscale and Multiphysics Problems - Part I of II9:10 AM-10:50 AMRoom:251 D


This minisymposium highlights selected research talks by female recent Ph.D.s in developing multiscale multiphysics models, computational methodologies, and high-performance computing. Advances in science and engineering—-in disciplines ranging from health to energy and the environment to defense—-rely on predictive measurement and analysis of multiscale multiphysics systems. Such advances are essential for scientific discovery, engineering design and policy making. The participants of the minisymposium will discuss advanced computational algorithms and simulation strategies for solving modern and next-generation systems that require analyzing complex physical phenomena such as fluid-solid interactions, mechanics of biological materials, moleculer motions, charge transport, ocean and cloud dynamics, and oil recovery process. The topics include physical modeling, mathematical analysis, numerical analysis, algorithms, implementation, performance, and scalability. This minisymposium is part of the Association for Women in Mathematics(AWM) workshop that will promote cross-fertilization of ideas among women scientists in multiple disciplines.




Sunday, March 15

MS88Computational Advances in Energy Research

9:10 AM-10:50 AMRoom:251 C

Part of the SIAM Workshop Celebrating Diversity

Computational modeling for geoscience applications has never been more relevant or fundamental for a range of problems in energy extraction and recovery. This session highlights advances in modeling for recent and more traditional energy applications. Unconventional resource modeling work discussed in this session includes microseismic event location in the context of hydraulic fracturing and modeling of methane hydrates. New advances in traditional seismic wave modeling include more efficient schemes for implementation of absorbing boundary conditions and comparison of finite difference solutions of the wave equation to solutions from discontinuous Galerkin finite element methods.

Organizer: Susan E. MinkoffUniversity of Texas at Dallas, USA

Organizer: Raegan HigginsTexas Tech University, USA

Organizer: Stephen WirkusArizona State University, USA

9:10-9:30 Microseismic Event Location Via Full Waveform InversionSusan E. Minkoff, University of Texas at

Dallas, USA

9:35-9:55 Comparison Between DG and Finite Difference Methods for Acoustics with Smooth CoefficientsMario Bencomo, Rice University, USA

10:00-10:20 Partitioned Low Rank fast and Efficient Compression of Absorbing Boundary Conditions for the Helmholtz EquationRosalie Belanger-Rioux and Laurent

Demanet, Massachusetts Institute of Technology, USA

10:25-10:45 Analysis and Numerical Approximation for Adsorption ModelsFrancis P. Medina and Malgorzata

Peszynska, Oregon State University, USA



Sunday, March 15

MS92Applied Mathematics and Computation in the Pharmaceutical Industry - Part I of II9:10 AM-10:50 AMRoom:254 A

For Part 2 see MS117 The pharmaceutical industry continues to rapidly develop analytical capabilities tackling scientific, engineering, manufacturing and market challenges. We highlight current mathematical and computational frontiers and areas of interest to the industry in this minisymposium. Specific areas include modeling and simulation, optimization, image processing and data mining/modeling. Modeling and simulation is used in both scientific and business applications within the industry. We highlight disease and treatment models as well as models underlying objective functions in optimization. Data mining/modeling is now driven by large amounts of biomarker data varying from next generation sequencing to ultra-high resolution imaging.

Organizer: Jeffrey SaltzmanAstraZeneca, USA

9:10-9:30 Numerical Solutions of a Partial Differential Equations in a Pharmacometric ContextJeffrey Saltzman, AstraZeneca, USA

9:35-9:55 Applications of Modeling and Simulation in Drug Discovery and DevelopmentChandni Valiathan, Merck & Co., Inc., USA

10:00-10:20 Mathematical Modeling at Two Opposite Ends of the Scale Spectrum with the Same Objective in Mind: Improve Human HealthAntonio Cabal, Merck Research

Laboratories, USA

10:25-10:45 A Simultaneous Approach to Parameter Estimation with Ode Models: a Case Study with Viral Dynamics ModelsKhamir Mehta and Junghoon Lee, Merck &

Co., Inc., USA

Sunday, March 15

MS91Parametric Model Reduction and Inverse Problems - Part I of IV9:10 AM-10:50 AMRoom:251 F

For Part 2 see MS116 In recent years model reduction techniques have been used to efficiently solve forward problems given, for instance, as PDEs, dynamical systems or complex networks. In this minisymposium we want explore applications of model reduction in the context of inverse problems.

Organizer: Eldad HaberUniversity of British Columbia, Canada

Organizer: Lars RuthottoEmory University, USA

Organizer: Eric De SturlerVirginia Tech, USA


Organizer: Christopher A. BeattieVirginia Tech, USA

Organizer: Serkan GugercinVirginia Tech, USA

9:10-9:30 Multiscale Model Reduction for PDE-Constrained OptimizationEldad Haber, University of British

Columbia, Canada; Lars Ruthotto, Emory University, USA

9:35-9:55 Model Mis-Specification and Model Reduction - Connecting the DotsLior Horesh, IBM T.J. Watson Research

Center, USA

10:00-10:20 Model Reduction for Some Inverse Problems in FinanceEkkehard W. Sachs, University of Trier,

Germany and Virginia Tech, USA; Marina Schneider, University of Trier, Germany

10:25-10:45 Inference for Prediction in Nonlinear SystemsHarriet Li, Massachusetts Institute of

Technology, USA

Sunday, March 15

MS90Software and Methods for Spatial Modeling and Simulation in Systems Biology - Part I of II9:10 AM-10:50 AMRoom:251 E

For Part 2 see MS115 Simulation of spatially inhomogeneous biological systems is a challenging problem that has motivated the development of various software packages. Simulation challenges include the multiphysics/multiscale nature of the systems and the need to capture stochastic effects. Modeling challenges include specification of the reaction systems, geometry and mesh generation for complex and dynamic shapes. Software issues include testing and verification, user community issues, and dissemination and promotion. Also, there are the issues of model sharing, validation and reproducibility of results. This minisymposium brings together representatives of different software packages from the computational systems biology community to discuss these challenges.

Organizer: Andreas HellanderUppsala University, Sweden

Organizer: Brian DrawertUniversity of California, Santa Barbara, USA

9:10-9:30 On-Lattice and off-Lattice Hybrid Simulation Using the Smoldyn SoftwareSteven Andrews, Fred Hutchinson Cancer

Research Center, USA

9:35-9:55 From Macroscopic to Microscopic Simulations Using MesordDavid Fange, Uppsala University, Sweden

10:00-10:20 MCell/CellBlender: An Environment for Spatially Realistic Simulation of Cellular MicrophysiologyThomas M. Bartol, The Salk Institute, USA

10:25-10:45 E-Cell System Version 4.0: an Integrated Platform for Single-particle-level SimulationsKazunari Kaizu, Kozo Nishida, Masaki

Watabe, Arjunan Satya, Kazunari Iwamoto, and Koichi Takahashi, RIKEN, Japan


Sunday, March 15

MS95Computational Methods for Kinetic Equations and Related Models - Part IV of V9:10 AM-10:50 AMRoom:150 AB







9:10-9:30 Asymptotic-Preserving Scheme for the Fokker-Planck-Maxwell System in the Quasi-Neutral RegimeStephane Brull, Institut Polytechnique de

Bordeaux, France

Sunday, March 15

MS94Student Days: SIAM Student Chapter Presentations - Part I of II9:10 AM-10:50 AMRoom:254 C

For Part 2 see MS119 SIAM Student Chapter presentations.

Organizer: Rachel LevyHarvey Mudd College, USA

9:10-9:21 System Architecture for a Cooperative Fleet of Autonomous Underwater Vehicles (AUVs)Stacey Joseph-Ellison, Qi Zhou, Zhaoyang

Fu, Zakaria Daud, and Hong Liu, Embry-Riddle Aeronautical University, USA

9:26-9:37 Affirmative Actions in Education Creating Division and Inefficiency Among Beneficiary Groups in IndiaAprant Ajay, Delhi Technological University,

India

9:42-9:53 Interfacial Motion by Mean Curvature in Liquid CrystalsAmy Spicer and Apala Majumdar, University

of Bath, United Kingdom

9:58-10:09 Theory and Computation for Bilinear QuadraturesChristopher Wong, University of California,

Berkeley, USA

10:14-10:25 Survival Probability of Beneficial Mutations in BacteriaAnna Zhu and Lindi M. Wahl, Western

University, Canada

10:30-10:41 On Strategic Defense in Stochastic NetworksRyan White and J. H. Dshalalow, Florida


Sunday, March 15

MS93Computational Applications Performing at Petascale Level and Beyond - Part I of II9:10 AM-10:50 AMRoom:254 B

For Part 2 see MS118 Large-scale simulations are required to validate and then exercise complex multiscale models such as weather forecasting, computational astronomy, or industrial burners. This minisymposium highlights the impact of petascale computing on scientific discoveries by presenting the recent work of several research teams that develop and employ applications to tackle such challenging problems using full capabilities of modern leadership-class supercomputers. Discussions emphasize both the scientific impact of the related work and the challenges associated with computing at such scale.

Organizer: Bilel HadriKing Abdullah University of Science & Technology (KAUST), Saudi Arabia

Organizer: Hatem LtaiefKing Abdullah University of Science & Technology (KAUST), Saudi Arabia

9:10-9:30 Exascale: the Why and the HowDavid E. Keyes, King Abdullah University of

Science & Technology (KAUST), Saudi Arabia

9:35-9:55 From Optimal Algorithms to Fast Petascale SolversBjörn Gmeiner, University of Erlangen-

Nuremberg, Germany; Holger Stengel, Erlangen Regional Computing Center, Germany; Christian Waluga, Technical University of Munich, Germany; Barbara Wohlmuth, Technische Universität München, Germany; Ulrich J. Ruede, University of Erlangen-Nuremberg, Germany

10:00-10:20 GPU for Adaptive Optics on Ground Based Astronomical Telescopes: Simulations and Real-Time ControlDamien Gratadour and Eric Gendron,

Observatoire de Paris, Meudon, France; Hatem Ltaief and Hatem Ltaief, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

10:25-10:45 Extreme Scale Solution of Engineering Applications Using UintahMartin Berzins, University of Utah, USA



Sunday, March 15

MS97Frameworks, Algorithms, and Scalable Technologies for Parallel Unstructured Mesh Workflows - Part I of II9:10 AM-10:50 AMRoom:258

For Part 2 see MS121 This minisymposium presents recent advances in the development of parallel unstructured mesh methods and highlights their use in applications. These technologies are designed and implemented to support reliable simulation technologies that run on today’s leadership-class parallel systems with specific attention to next generation and emerging architectures that will bridge the peta-to-exascale gap. Unstructured meshing technologies presented in these sessions will emphasize memory-efficiency through array based data structures and adaptivity, increased fidelity through high-order methods, and parallelism in mesh generation, adaptation, and in-memory workflows. Many of the minisymposium presentations are associated with the DOE SciDAC FASTMath institute (http://www.fastmath-scidac.org/).

Organizer: Cameron SmithRensselaer Polytechnic Institute, USA

Organizer: Mark S. ShephardRensselaer Polytechnic Institute, USA

9:10-9:30 An Array-Based Mesh Topological Representation That Effectively Supports General Mesh ModificationDan A. Ibanez and Mark S. Shephard,

Rensselaer Polytechnic Institute, USA

9:35-9:55 Efficient Unstructured Mesh Traversal Methods Based on Array-Based Half FacetsNavamita Ray, Argonne National Laboratory,

USA; Xinglin Zhao, Stony Brook University, USA; Vijay Mahadevan, Argonne National Laboratory, USA; Xiangmin Jiao, State University of New York, Stony Brook, USA

Sunday, March 15

MS96Computational Approaches and Multi-scale Modeling of Complex Fluids - Part I of II9:10 AM-10:50 AMRoom:150 DE

For Part 2 see MS122 Complex fluids, which are suspensions of particles in a viscous liquid, can exhibit both viscous and elastic response to external forcing. Capturing the exact interplays between the particles and the surrounding fluid in a continuum modeling presents significant challenges as hydrodynamics interactions happen on short and long scales. Added difficulties arise when such suspensions interact with boundaries, where peculiar behavior has been experimentally observed, or when the surrounding fluid itself is viscoelastic, as it is the case of most biological liquid. This minisymposium’s goal is to explore recent advances, especially on the computational front, on both topics.

Organizer: Christel HoheneggerUniversity of Utah, USA

Organizer: Enkeleida LushiBrown University, USA

9:10-9:30 Stabilizing the Collective Motion of Micro-swimmers using ConfinementEnkeleida Lushi, Brown University, USA

9:35-9:55 Flagellar Activity Influences Self-Organization in Confined Microswimmer SuspensionsAlan Cheng Hou Tsang and Eva Kanso,

University of Southern California, USA

10:00-10:20 Swimming Dynamics of Microorganisms in Viscoelastic Fluids Near a WallGaojin Li and Arezoo Ardekani, Purdue

University, USA

10:25-10:45 Dynamics of Micro-Swimmers Inside a Peristaltic PumpAdam Stinchcombe, University of Michigan,

USA; Enkeleida Lushi, Brown University, USA

Sunday, March 15

MS95Computational Methods for Kinetic Equations and Related Models - Part IV of V9:10 AM-10:50 AMcontinued

9:35-9:55 Solving Kinetic Equations to Model the Core-Collapse Supernova Explosion MechanismEirik Endeve and Cory Hauck, Oak Ridge

National Laboratory, USA; Yulong Xing, University of Tennessee and Oak Ridge National Laboratory, USA; Tony Mezzacappa, Oak Ridge National Laboratory, USA

10:00-10:20 Versions of Discontinuous Galerkin Algorithms for Diffusion and for Energy-Conserving Hamiltonian DynamicsAmmar Hakim, Princeton Plasma Physics

Laboratory, USA; Greg Hammett, Eric Shi, Ian Abel, and Tim Stoltzfus-Dueck, Princeton University, USA

10:25-10:45 Numerical Simulation of the Crookes RadiometerGuillaume Dechristé, Institut de

Mathématiques de Bordeaux, France; Luc Mieussens, Universite de Bordeaux I, France



Sunday, March 15

MS99Modeling Microswimmer Locomotion using the Method of Regularized Stokeslets9:10 AM-10:50 AMRoom:260 A

Microscopic swimmers live in highly viscous environments where inertial effects are negligible. The way that these organisms have adapted to such unique conditions is of interest to biologists and engineers alike. For instance, a better understanding of microswimmer locomotion may enable the development of novel biomedical technologies, such as mobile biosensors or drug delivery devices. This minisymposium presents numerical studies of microswimmer motility performed using the method of regularized Stokeslets, a method designed for simulating low Reynolds number fluid- structure interactions. Easy to implement, efficient, and highly adaptable, the method of regularized Stokeslets is a powerful tool with broad applicability.

Organizer: Jonathan H. TuUniversity of California, Berkeley, USA

9:10-9:30 The Method of Regularized Stokeslets: Motivation and ApplicationsRicardo Cortez, Tulane University, USA

9:35-9:55 The Effects of Rotation and Translation on Flagellar SynchronizationJonathan H. Tu, Murat Arcak, and Michel M.

Maharbiz, University of California, Berkeley, USA

10:00-10:20 Modeling Sperm Motility Using a Kirchhoff Rod ModelSarah D. Olson, Worcester Polytechnic

Institute, USA

10:25-10:45 Bacteria Association with Ciliated SurfacesEva Kanso, University of Southern California,

USA

Sunday, March 15

MS98High-Order Methods for Computational Fluid Dynamics - Part I of IV9:10 AM-10:50 AMRoom:259

For Part 2 see MS123 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.

Organizer: Brian C. VermeireImperial College London, United Kingdom

Organizer: Antony JamesonStanford University, USA

Organizer: Peter E. VincentImperial College London, United Kingdom

9:10-9:30 Theoretical Aspects of High-Order Flux Reconstruction SchemesPeter E. Vincent, Imperial College London,

United Kingdom

9:35-9:55 Comparison of Continuous, Discontinuous and Hybrid Finite Element Methods for Accuracy and EfficiencySteven R. Allmaras, Marshall Galbraith, and

David l. Darmofal, Massachusetts Institute of Technology, USA

10:00-10:20 Adaptive Multiresolution Schemes for Discontinuous MethodsSiva Nadarajah and Philip Zwanenburg,

McGill University, Canada

10:25-10:45 Goal-Oriented Curved Mesh Optimization for High-Order Finite-Element MethodsKrzysztof Fidkowski and Devina Sanjaya,

University of Michigan, USA

10:00-10:20 Threading Mesh Optimization Codes Using Transactional MemoryBarna Bihari and Lori A. Diachin, Lawrence

Livermore National Laboratory, USA; Patrick M. Knupp, Sandia National Laboratories, USA

10:25-10:45 M3D-C1 Adaptive Loop Going from 2D Axisymmetric to Full 3DE. Seegyoung Seol, Mark S. Shephard,

and Fan Zhang, Rensselaer Polytechnic Institute, USA


Sunday, March 15

MS102Parallel, Adaptive Methods for Logically Cartesian Meshes - Part I of II9:10 AM-10:50 AMRoom:151 DE

For Part 2 see MS127 Adaptive refined Cartesian mesh methods, which started with the seminal paper by Berger-Oliger in 1984 have now been in development for just over 30 years. However, there are still many questions about the scalability of these methods. The meta-data needed to store sub-grid locations can become prohibitive, and dynamic refinement an present a challenging parallel problem. However recent developments in quad tree adaptation and other approaches for Berger-Oliger refinement may overcome some of these problems. In this minisymposium, speakers have been asked to address the scalability of their adaptive frameworks, and share experiences using available packages, including Chombo, Paramesh, p4est, AMRClaw, Overture, GeoClaw and ForestClaw.

Organizer: Donna CalhounBoise State University, USA

Organizer: Carsten BursteddeUniversität Bonn, Germany

9:10-9:30 Parallel, Adaptive, Multi Block Methods for Cartesian Grids using ForestClawDonna Calhoun, Boise State University,

USA; Carsten Burstedde, Universität Bonn, Germany

9:35-9:55 Progress in Parallel Adaptive Methods for Storm Surge ForecastingKyle T. Mandli, Columbia University, USA

10:00-10:20 Using Explicit Filtering and Reconstruction to Improve Large-Eddy Simulation of the Atmosphere on Adaptive GridsLauren Goodfriend and Fotini Katopodes

Chow, University of California, Berkeley, USA; Marcos Vanella and Elias Balaras, George Washington University, USA

10:25-10:45 Local Time Stepping for Parallel Adaptive Mesh Refinement SimulationJeremy E. Kozdon and Lucas Wilcox, Naval

Postgraduate School, USA

Sunday, March 15

MS101Advances in Radial Basis Function and Other Meshfree Methods - Part IV of V9:10 AM-10:50 AMRoom:151 AB




9:10-9:30 Oversampling Near the Boundary and Improved Exponential Convergence RatesBarbara Zwicknagl, University of Bonn,

Germany

9:35-9:55 Beyond Quasi-unifomity: Kernel Approximation with a Local Mesh RatioThomas C. Hangelbroek, University of

Hawaii, Manoa, USA

10:00-10:20 Fast Computation of Orthonormal Bases for RBF Native SpacesStefano De Marchi and Gabriele Santin,

University of Padova, Italy

10:25-10:45 Meshless Vector Field Approximation with Radial Basis FunctionsEdward Fuselier, High Point University,

USA; Grady B. Wright, Boise State University, USA

Sunday, March 15

MS100Analysis of Noisy Networks in Theory and Practice - Part I of II9:10 AM-10:50 AMRoom:260 B

For Part 2 see MS125 Network analysis is an elegant, graph-based method for studying complex systems of interacting entities. However, real-world observed systems inherently include some discrepancy from reality. For example, measurements may not be exact, as not all relations are observed. Since traditional graph theory deals with exact mathematics, one of the most challenging aspects of network analysis is accounting for this noise. This minisymposium will include talks from application experts on how they handle noise, and presentations about the effect of noise in networks generally. We conclude with a discussion on how the general theory and application-specific methods can benefit from each other.

Organizer: Sanjukta BhowmickUniversity of Nebraska, Omaha, USA

Organizer: Benjamin A. MillerMassachusetts Institute of Technology, USA

9:10-9:30 Spectral Subgraph Detection in Noisy, Uncertain NetworksBenjamin A. Miller, Massachusetts Institute of

Technology, USA

9:35-9:55 Epidemic in Time and Space: Modeling Spatial Outbreak DynamicsArmin Mikler, University of North Texas, USA

10:00-10:20 Analysis and Control of Cascading Failures of Power Transmission Systems: a Macro ViewDaniel Bienstock and Guy Grebla, Columbia

University, USA

10:25-10:45 Visual Analytics for Detection and Tracking of Emergent Subgraphs in Social NetworksNadya Bliss and Ross Maciejewski, Arizona

State University, USA


Sunday, March 15

PD2 PanelAsk The Program Manager: Funding12:15 PM-1:30 PMRoom:355 D

Chair: Hank Childs, Lawrence Berkeley National Laboratory and University of Oregon, USA

Chair: Vincent Heuveline, Heidelberg University, Germany

Program managers from government agencies receive many requests for research funding. What are they really seeking? What makes a research proposal stand out? How can you build a research program that is attractive to these agencies? How can you conduct your research to make the biggest impact and increase your chances of future funding? What opportunities are presently available? We address all these questions and more as a part of this panel discussion.

Panelists To Be Announced

Sunday, March 15

IP4Extreme-scale Multigrid in Space and Time11:20 AM-12:05 PMRoom:355

Chair: Irad Yavneh, Technion Israel Institute of Technology, Israel

Multigrid methods are important techniques for efficiently solving huge linear systems and they have already been shown to scale effectively on millions of cores. Future exascale architectures will require solvers to exhibit even higher levels of concurrency (1B cores), minimize data movement, exploit machine heterogeneity, and demonstrate resilience to faults. While considerable research and development remains to be done, multigrid approaches are ideal for addressing these challenges. In this talk, we will discuss efforts to develop extreme-scale multigrid, including a new parallel time integration approach that has the potential for significant speedups over standard time stepping.

Robert FalgoutLawrence Livermore National Laboratory, USA

Lunch Break12:05 PM-1:30 PMAttendees on their own

Sunday, March 15

MS103High- and Low-order Finite Element Software for the Future - Part I of II9:10 AM-10:50 AMRoom:151 G

For Part 2 see MS128 As scientific problems become larger, computational platforms become more diverse and the complexity of finite element software increases, it is essential to develop software in a sustainable way. The role of software design and the need to effectively manage the development process is therefore more important than ever before. This minisymposium will discuss experiences of how high- and low-order FEM software can be designed, developed and maintained to achieve maximum performance while remaining robust, rigorously tested and able to grow and adapt with the changing needs of the research environment, improvements in the methods and the evolving hardware landscape.

Organizer: David MoxeyImperial College London, United Kingdom


Organizer: Spencer SherwinImperial College London, United Kingdom

9:10-9:30 Architecting Spectral/HP Element Codes for Modern HardwareChris Cantwell and David Moxey, Imperial

College London, United Kingdom; Mike Kirby, University of Utah, USA; Spencer Sherwin, Imperial College London, United Kingdom

9:35-9:55 What Makes Computational Open Source Libraries Successful?Timo Heister, Clemson University, USA;

Wolfgang Bangerth, Texas A&M University, USA

10:00-10:20 Applying Object-oriented Programming to PDE SolutionsHugh Blackburn, Monash University, Australia

10:25-10:45 Efficient Multithreading Algorithms for High-Order Tensor-Product Finite ElementsTimothy Warburton, David Medina, and

Rajesh Gandham, Rice University, USA



Sunday, March 15

MS105Computational Engineering (BGCE) Student Paper Prize- Part II of II1:30 PM-3:10 PMRoom:250 A

For Part 1 see MS80 The 5th Bavarian Graduate School in Computational Engineering (BGCE) Student Paper Prize will be awarded at the 2015 SIAM CS&E Conference for outstanding student work in the field of Computational Science and Engineering. Eligible for the prize will be undergraduate and graduate students prior to receiving their PhD. Candidates are required to summarize their work in a short paper of at most 4 pages. The prize finalists will present their work in this minisymposium. The prize award announcement will be scheduled at one of the last days of the conference.

Organizer: Tobias NeckelTechnische Universität München, Germany

Organizer: Hans-Joachim BungartzTechnische Universität München, Germany



Sunday, March 15

MS104Featured Minisymposium: Distributed Methods for Optimization1:30 PM-3:10 PMRoom:355 A

Recent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand for distributed optimization problems with huge data sets. The resulting optimization problems are characterized by distributed and uncertain information, necessitating computations to be done in a non-traditional environment, with imperfect information, over a communication network, and most importantly without a central entity that has an access to the whole information. This minisymposium focuses on most recent optimization techniques dealing with large data sets and distributed components over possibly uncertain networks.

Organizer: Wotao YinUniversity of California, Los Angeles, USA

1:30-1:50 Distributed Optimization in Directed Graphs: Push-Sum Based AlgorithmsAngelia Nedich and Alexander Olshevsky,

University of Illinois at Urbana-Champaign, USA

1:55-2:15 Distributed Optimization in Undirected Graphs: Gradient and EXTRA AlgorithmsWotao Yin, University of California, Los

Angeles, USA; Qing Ling and Kun Yuan, University of Science and Technology of China, China

2:20-2:40 On the O(1/k) Convergence of Asynchronous Distributed Alternating Direction Method of MultipliersErmin Wei and Asuman Ozdaglar,


2:45-3:05 Blessing of Scalability: A Tractable Dual Decomposition l-0 Approach for Large Graph EstimationMengdi Wang, Princeton University, USA

Sunday, March 15

MT2Minitutorial: Python Visual Analytics for Big Data - Part II of II1:30 PM-3:10 PMRoom:355

For Part 1 see MT1 Chair: Jonathan Woodring, Los Alamos National Laboratory, USA

Python is a powerful development, computational, and programming environment due to the wide variety of libraries developed for it, and importantly, the enthusiastic, active development and user community. One of the areas where Python excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual analytics. This tutorial will cover the following big-data visualization capabilities in Python: interactive plotting with IPython, matplotlib, and databases, building web visualizations with Bokeh, and Python integration with VTK and ParaView. Additional information will be provided on mapreduce and NoSQL capabilities. This tutorial is intended for intermediate-level participants who have a basic understanding of the Python language and development environment (i.e., the student ought to have an understanding of native (and ideally numpy) data structures, file I/O, and is able to develop and run simple programs). Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and program execution will not be covered in this tutorial.

Topic C: Bokeh using BlazeAndy R. Terrel, Continuum Analytics, USA

Topic D: VTK + ParaView using HDF5 & NetCDFPatrick O’Leary, Kitware, Inc., USA


Sunday, March 15

MS107Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part II of IV - Runtime1:30 PM-3:10 PMRoom:250 C

For Part 1 see MS82 For Part 3 see MS134 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisymposium different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.





1:30-1:50 Runtime Systems for Fault Tolerant ComputingMarc Casas, Barcelona Supercomputing

Center, Spain

1:55-2:15 Fenix: A Framework for Online Failure Recovery for Scientific Simulations Towards ExascaleMarc Gamell, Rutgers University, USA;

Daniel Katz, Argonne National Laboratory, USA; Keita Teranishi, Hemanth Kolla, and Jacqueline Chen, Sandia National Laboratories, USA; Scott Klasky, Oak Ridge National Laboratory, USA; Manish Parashar, Rutgers University, USA

2:20-2:40 Understanding the Impact of Transient Faults at the Application Level in HPCIgnacio Laguna, Lawrence Livermore National

Laboratory, USA

2:45-3:05 DHARMA: Distributed asyncHronous Adaptive Resilient Management of ApplicationsHemanth Kolla, Janine C. Bennett, Jeremiah

Wilke, Nicole Slattengren, Keita Teranishi, and John Floren, Sandia National Laboratories, USA

2:20-2:40 Quasi-optimal Polynomial Approximation of PDEs with Linear and Nonlinear Stochastic CoefficientsClayton G. Webster, Hoang A. Tran, and

Guannan Zhang, Oak Ridge National Laboratory, USA; Ronald DeVore, Texas A&M University, USA

2:45-3:05 Combining Sparsity and Smoothness for Function InterpolationRachel Ward, University of Texas at Austin,

USA; Holger Rauhut, RWTH Aachen University, Germany

Sunday, March 15

MS106High-dimensional Approximation and Integration: Analysis and Computation - Part II of V1:30 PM-3:10 PMRoom:250 B

For Part 1 see MS81 For Part 3 see MS133 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and ”best-N-term” approximations.





1:30-1:50 Polynomial Approximation of Random PDEs by Discrete Least SquaresFabio Nobile, EPFL, Switzerland; Raul F.

Tempone, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Giovanni Migliorati, EPFL, Switzerland

1:55-2:15 High Dimensional Interpolation for Non Intrusive Treatment of Parametric PDEsAbdellah Chkifa and Albert Cohen,

Université Pierre et Marie Curie, France; Christoph Schwab, ETH Zürich, Switzerland



Sunday, March 15

MS110Advanced Finite Element Methods for Nonlinear Materials and Fluids - Part II of III1:30 PM-3:10 PMRoom:250 F

For Part 1 see MS85 For Part 3 see MS137 Numerical modeling of materials and fluids with nonlinear behavior plays an increasing role in computational science and engineering, particularly in the high-fidelity simulation of elastic and plastic deformations, magneto-sensitive materials, liquid crystals, biological tissues and blood flow, among others. Despite a long history of efforts, there is still a need for the development of advanced finite-element methods with specific properties such as accurate representation of stresses, forces, and other quantities depending on the application. In many of these applications, mesh-adaptive implementations and efficient solvers are an important issue due to the size and complexity of the problems.




1:30-1:50 Hybrid FOSLS/ll* for Nonlinear Systems of PDEsThomas Manteuffel, Kuo Liu, Lei Tang, and

John Ruge, University of Colorado Boulder, USA; Chad Westphal, Wabash College, USA

1:55-2:15 Nested Iteration and Adaptive Finite Elements for Ice Sheet ModelsJeffery M. Allen and Thomas Manteuffel,

University of Colorado Boulder, USA; Harihar Rajaram, University of Colorado, USA

2:20-2:40 Parametric Mixed Finite Elements for Two-Phase Flow Interface ProblemsFleurianne Bertrand, Gerhard Starke, and

Steffen Münzenmaier, University of Duisburg-Essen, Germany

2:45-3:05 A Least Squares Finite Element Method for Coupled Surface/Subsurface FlowsSteffen Münzenmaier, University of Duisburg-

Essen, Germany

Sunday, March 15

MS109Error Analysis and Scalability of UQ Methodologies for Inverse Problems - Part II of II1:30 PM-3:10 PMRoom:250 E

For Part 1 see MS84 The application of novel uncertainty quantification (UQ) methodologies to solve stochastic inverse problems for a physical system has improved the predictive capabilities of many computationally complex models. However, a full error analysis and study of scalability for the combined UQ method and computational model is often lacking. This session addresses the issues of error analysis and scalability of several UQ methods applied to stochastic inverse problems associated with specific complex physical systems. Both a priori and a posteriori error analyses of deterministic and stochastic sources of error are considered along with computational challenges in scaling such analyses.

Organizer: Troy ButlerUniversity of Colorado, Denver, USA

Organizer: Steven MattisUniversity of Texas at Austin, USA

1:30-1:50 A Scalable Measure-Theoretic Approach to the Stochastic Inverse Problem for Groundwater ContaminationSteven Mattis and Clint Dawson, University

of Texas at Austin, USA; Troy Butler, University of Colorado, Denver, USA

1:55-2:15 A Scalable Computational Framework for Estimating Model DiscrepancyNishant Panda, Colorado State University,

USA

2:20-2:40 Quantifying Error in An Inadequate Model for Flow in a Porous MediaTeresa Portone, Damon Mcdougall, Todd

Oliver, and Robert D. Moser, University of Texas at Austin, USA

2:45-3:05 Error Decomposition and Adaptivity for Response Surface Approximations with Application to Bayesian InferenceCorey M. Bryant, Serge Prudhomme, and

Todd Oliver, University of Texas at Austin, USA; Tim Wildey, Sandia National Laboratories, USA

Sunday, March 15

MS108Preconditioning and Iterative Methods for Linear Systems - Part II of II1:30 PM-3:10 PMRoom:250 D

For Part 1 see MS83 The solution of large, sparse linear systems remains the limiting component of many problems. Iterative solvers are often the methods of choice for such systems, and effective preconditioning is usually necessary to achieve an acceptable speed of convergence. In this minisymposium we focus on recent developments in preconditioning, the convergence of solvers and the application of iterative methods.

Organizer: Jennifer PestanaUniversity of Manchester, United Kingdom

Organizer: Andy WathenUniversity of Oxford, United Kingdom

1:30-1:50 Exploiting Tropical Algebra in the Construction of PreconditionersJames Hook, Jennifer Pestana, and

Francoise Tisseur, University of Manchester, United Kingdom

1:55-2:15 The Solution of Lyapunov Equations with Nonnormal CoefficientsMark Embree, Virginia Tech, USA; Jonathan

Baker, Rice University, USA; John Sabino, The Boeing Company, USA

2:20-2:40 The Surprising Robustness of the Tracemin Eigensolver to Incorrect Linear SolvesAlicia Klinvex, Purdue University, USA;

Michael Heroux, Sandia National Laboratories, USA; Ahmed Sameh, Purdue University, USA; Mark Hoemmen, Sandia National Laboratories, USA

2:45-3:05 Numerical Solution of PDEs Posed on GraphsMichele Benzi, Emory University, USA


Sunday, March 15

MS112Scientific Software Productivity at Extreme Scale1:30 PM-3:10 PMRoom:251 B

There has been a recent renewed focus on software productivity for scientific applications, especially those that require performance at extreme scales (10k+ and GPU-accelerated cores). The goal of this minisymposium is to engage the broader computational science and engineering software community, to discuss productivity issues that arise when developing high-performance applications. The session will include an overview presentation of forums and efforts focusing on productivity (including a recently funded initiative within DOE); two science application presentations, oriented towards software productivity considerations; and an open facilitated session to gather SIAM CSE community concerns and priorities.

Organizer: Hans JohansenLawrence Berkeley National Laboratory, USA

Organizer: Lois Curfman McInnesArgonne National Laboratory, USA

1:30-1:50 Overview: Software Productivity Challenges for Extreme Scale ScienceLois Curfman McInnes, Argonne National

Laboratory, USA; Hans Johansen, Lawrence Berkeley National Laboratory, USA; Michael Heroux, Sandia National Laboratories, USA

1:55-2:15 Software Productivity Application: Integrated Modeling for Fusion EnergyDavid E. Bernholdt, Wael R. Elwasif, and

Donald B. Batchelor, Oak Ridge National Laboratory, USA

2:20-2:40 Software Productivity Challenges in Environmental ApplicationsDavid Moulton and Ethan T. Coon, Los

Alamos National Laboratory, USA; Carl Steefel, Lawrence Berkeley National Laboratory, USA

2:45-3:05 Software Productivity Community Input: Concerns and PrioritiesJeffrey C. Carver, University of Alabama,

USA; Michael Heroux, Sandia National Laboratories, USA

2:20-2:40 Least Squares Shadowing for Adjoint Calculation of Chaotic and Turbulent PdesPatrick Blonigan and Qiqi Wang,


2:45-3:05 Parallel Bayesian Optimization of Massively Parallel Turbulent Flow SimulationsChaitanya Talnikar, Massachusetts Institute

of Technology, USA

Sunday, March 15

MS111Adjoint Methods for Unsteady and Chaotic PDEs and Large-scale Optimization and Control - Part II of II1:30 PM-3:10 PMRoom:251 A

For Part 1 see MS86 We expose a growing intersection of optimization and control using large-scale, unsteady PDE-based simulations. This intersection has traditionally been small because most practitioners perform optimization and control using inexpensive, reduced order models; however, this is changing. Current-day simulations solving unsteady and chaotic PDEs, such as the Navier-Stokes equations, are leveraging advance in high performance computing. Petascale, and soon exascale, supercomputers are increasingly available to researchers, enabling them to attempt optimization and control directly using large-scale simulations. The resulting area of large-scale optimization and control, particularly with the aid of the unsteady adjoint method, is the theme of this proposed minisymposium.

Organizer: Qiqi WangMassachusetts Institute of Technology, USA


Organizer: Daniel J. BodonyUniversity of Illinois at Urbana-Champaign, USA

1:30-1:50 Actuator and Sensor Placement for Controlling High-Speed Jet NoiseMahesh Natarajan and Daniel J. Bodony,


1:55-2:15 Using Imperfect Outputs and Derivatives in Large-scale OptimizationJason E. Hicken, Rensselaer Polytechnic

Institute, USA



1:55-2:15 A Fast Explicit Operator Splitting Method for a Multi-scale Underground Oil Recovery ModelYing Wang, University of Oklahoma, USA

2:20-2:40 Computational Study of Dynamics and Transport in Vortex-Dipole FlowsLing Xu, Georgia State University, USA

2:45-3:05 A Stabilized Explicit Scheme for Coupling Fluid-structure InteractionsYue Yu, Lehigh University, USA

Sunday, March 15

MS114AWM Meeting - Workshop: Research Talks by Recent Ph.D.s: Mathematical Modeling and High-performance Computing for Multi-physics and Multi-scale Problems. Part II of II1:30 PM-3:10 PMRoom:251 D


This minisymposium highlights selected research talks by female recent Ph.D.s in developing multiscale multiphysics models, computational methodologies, and high-performance computing. Advances in science and engineering—in disciplines ranging from health to energy and the environment to defense—rely on predictive measurement and analysis of multiscale multiphysics systems. Such advances are essential for scientific discovery, engineering design and policy making. The participants of the minisymposium will discuss advanced computational algorithms and simulation strategies for solving modern and next-generation systems that require analyzing complex physical phenomena such as fluid-solid interactions, mechanics of biological materials, moleculer motions, charge transport, ocean and cloud dynamics, and oil recovery process. The topics include physical modeling, mathematical analysis, numerical analysis, algorithms, implementation, performance, and scalability. This minisymposium is part of the Association for Women in Mathematics(AWM) workshop that will promote cross-fertilization of ideas among women scientists in multiple disciplines.




1:30-1:50 A Study of the Entanglement in Polymer MeltsEleni Panagiotou, University of California,

Santa Barbara, USA

Sunday, March 15

MS113Fluid Transport Dynamics in Biology and Medicine

1:30 PM-3:10 PMRoom:251 C


Fluid dynamics, especially blood flow, govern many physiological processes. The function of biological entities and the success of clinical treatments can be affected by the fluid environment. Understanding the transport mechanisms from vessels into the surrounding medium is also critical in the design of drug delivery vehicles and treatment protocols. This session will highlight mathematical and computational methods for simulating important flow-dependent processes, including biological and therapeutic applications.

Organizer: Erica J. GrahamNorth Carolina State University, USA

Organizer: Ami RadunskayaPomona College, USA




1:30-1:50 Modeling the Effects of Flow on Anticoagulant TherapyErica J. Graham, North Carolina State

University, USA; Lisette dePillis, Harvey Mudd College, USA; Kaitlyn Hood, University of California, Los Angeles, USA; Yanping Ma, Loyola Marymount University, USA; Julie Simons, Tulane University, USA; Ami Radunskaya, Pomona College, USA

1:55-2:15 Navier Slip Condition for Viscous Fluids on a Rough BoundarySilvia Jimenez Bolanos, Colgate University,

USA; Bogdan M. Vernescu, Worcester Polytechnic Institute, USA

2:20-2:40 Cooperative Swimming in Viscous EnvironmentsJulie Simons, Lisa J. Fauci, and Ricardo

Cortez, Tulane University, USA

2:45-3:05 Taming Targeted Drug Delivery: a Mathematical Model of Triggered Drug Delivery Across the Blood-Brain BarrierAmi Radunskaya, Pomona College, USA



Sunday, March 15

MS117Applied Mathematics and Computation in the Pharmaceutical Industry - Part II of II1:30 PM-2:45 PMRoom:254 A

For Part 1 see MS92 The pharmaceutical industry continues to rapidly develop analytical capabilities tackling scientific, engineering, manufacturing and market challenges. We highlight current mathematical and computational frontiers and areas of interest to the industry in this minisymposium. Specific areas include modeling and simulation, optimization, image processing and data mining/modeling. Modeling and simulation is used in both scientific and business applications within the industry. We highlight disease and treatment models as well as models underlying objective functions in optimization. Data mining/modeling is now driven by large amounts of biomarker data varying from next generation sequencing to ultra-high resolution imaging.

Organizer: Jeffrey SaltzmanAstraZeneca, USA

1:30-1:50 Imaging Biomarkers in Biopharmaceutical IndustryBelma Dogdas, Merck & Co., Inc., USA

1:55-2:15 Imaging Genomics for Pharmaceutical ApplicationsSangeetha Somayajula and Chandni

Valiathan, Merck & Co., Inc., USA

2:20-2:40 Simulation-Based Analysis of Complex Decision Options in Pharmaceutical Research and DevelopmentOtto Ritter, Independent Consultant, USA

Sunday, March 15

MS116Parametric Model Reduction and Inverse Problems - Part II of IV1:30 PM-2:45 PMRoom:251 F

For Part 1 see MS91 For Part 3 see MS143 In recent years model reduction techniques have been used to efficiently solve forward problems given, for instance, as PDEs, dynamical systems or complex networks. In this minisymposium we want explore applications of model reduction in the context of inverse problems.







1:30-1:50 From Data to Prediction Via Reduced Parameter-to-Observable Maps: Applications to Antarctic Ice Sheet FlowOmar Ghattas and Toby Isaac, University

of Texas at Austin, USA; Noemi Petra, University of California, Merced, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA

1:55-2:15 Combined State and Parameter Reduction for the Inversion of Functional Neuroimaging DataChristian Himpe, University of Münster,

Germany; Mario Ohlberger, University of Muenster, Germany

2:20-2:40 Convergence of Inverse Problems using Reduced Order ModelsEric De Sturler, Virginia Tech, USA

Sunday, March 15

MS115Software and Methods for Spatial Modeling and Simulation in Systems Biology - Part II of II1:30 PM-3:10 PMRoom:251 E

For Part 1 see MS90 Simulation of spatially inhomogeneous biological systems is a challenging problem that has motivated the development of various software packages. Simulation challenges include the multiphysics/multiscale nature of the systems and the need to capture stochastic effects. Modeling challenges include specification of the reaction systems, geometry and mesh generation for complex and dynamic shapes. Software issues include testing and verification, user community issues, and dissemination and promotion. Also, there are the issues of model sharing, validation and reproducibility of results. This minisymposium brings together representatives of different software packages from the computational systems biology community to discuss these challenges.

Organizer: Andreas HellanderUppsala University, Sweden

1:30-1:50 Interactive, Distributed Spatial Stochastic Simulation with PyURDME and MOLNsBrian Drawert, University of California,

Santa Barbara, USA

1:55-2:15 Gepetto/OpenWormStephen Larson, OpenWorm.org, USA

2:20-2:40 Reaction-diffusion and Electrical Signaling in Neurons (Rdesigneur): a System for Multiscale Modeling in MOOSEUpinder Bahlla, National Center for

Biological Sciences, India

2:45-3:05 Stochastic Simulation at Your ServiceLinda R. Petzold, University of California,

Santa Barbara, USA


Sunday, March 15

MS120Computational Methods for Kinetic Equations and Related Models - Part V of V1:30 PM-3:10 PMRoom:150 AB

For Part 4 see MS95 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.






1:30-1:50 Kinetic Equation in a Bounded DomainQin Li, California Institute of Technology,

USA

1:55-2:15 A Fast Conservative Spectral Solver for the Nonlinear Boltzmann Collision OperatorJeffrey Haack, University of Texas at Austin,

USA; Jingwei Hu, Purdue University, USA; Irene M. Gamba, University of Texas at Austin, USA

Sunday, March 15

MS119Student Days: SIAM Student Chapter Presentations - Part II of II1:30 PM-3:10 PMRoom:254 C

For Part 1 see MS94 SIAM Student Chapter presentations.


1:30-1:41 Sublinear Preconditioners for the 2D Helmholtz EquationLeonardo Zepeda-Núñez and Laurent

Demanet, Massachusetts Institute of Technology, USA

1:46-1:57 Solving the Heat Equation with WaveletsAnne Reinarz and Alexey Chernov,

University of Reading, United Kingdom

2:02-2:13 Analysis of a Heterogeneous Multiscale Method for PoroelasticityPaul M. Delgado, Vinod Kumar, and Son

Young Yi, University of Texas at El Paso, USA

2:18-2:29 Experimental Analysis of the Performance of GeoClaw, AnuGA and SurfWB-UC Numerical Models for the Simulation of Tsunami Inundation PhenomenaJosé Galaz and Rodrigo Cienfuegos,

Pontificia Universidad Católica de Chile, Chile

2:34-2:45 Stabilization in Relation to Wavenumber in HDG MethodsNicole Olivares and Jay Gopalakrishnan,

Portland State University, USA; Liang Li, University of Electronic Science and Technology of China, China; Ronan Perrussel, Universite de Toulouse, France

2:50-3:01 Incompressible Flow and (Stabilised) Mixed Finite Element Methods on Highly Stretched MeshesAndreas Wachtel, University of Strathclyde,

United Kingdom; Mark Ainsworth, Brown University, USA; Gabriel R. Barrenechea, University of Strathclyde, United Kingdom

Sunday, March 15

MS118Computational Applications Performing at Petascale Level and Beyond - Part II of II1:30 PM-3:10 PMRoom:254 B

For Part 1 see MS93 Large-scale simulations are required to validate and then exercise complex multiscale models such as weather forecasting, computational astronomy, or industrial burners. This minisymposium highlights the impact of petascale computing on scientific discoveries by presenting the recent work of several research teams that develop and employ applications to tackle such challenging problems using full capabilities of modern leadership-class supercomputers. Discussions emphasize both the scientific impact of the related work and the challenges associated with computing at such scale.

Organizer: Bilel HadriKing Abdullah University of Science & Technology (KAUST), Saudi Arabia


1:30-1:50 What Are the Priorities Beyond Petascale Computing?Thomas C. Schulthess, ETH Zürich,

Switzerland

1:55-2:15 Petascale Medical SimulationsMichael Resch, University of Stuttgart,

Germany; Ralf Schneider, High Performance Computing Center Stuttgart, Germany

2:20-2:40 Petascale Simulation of Hurricane Sandy Using WRF Weather Model on Cray XE6 Blue WatersPete Johnsen, Cray, Inc., USA; Mark Starka,

National Center for Supercomputing Applications (NCSA), USA; Melvyn Shapiro, Alan Norton, and Thomas Galarneau, National Center for Atmospheric Research, USA

2:45-3:05 Petascale Simulations of Cloud Cavitation CollapseCostas Bekas, IBM Research, USA



2:20-2:40 Parallel Mesh Curving and Adaptation with High-Order Surface Continuity for High-Order Finite Element SimulationsQiukai Lu, Dan A. Ibanez, and Mark

S. Shephard, Rensselaer Polytechnic Institute, USA

2:45-3:05 High-Order Surface Reconstruction with Applications in Parallel Meshing and Finite Element SolversXiangmin Jiao, State University of New

York, Stony Brook, USA; Navamita Ray, Argonne National Laboratory, USA; Cao Lu and Xinglin Zhao, Stony Brook University, USA

Sunday, March 15

MS121Frameworks, Algorithms, and Scalable Technologies for Parallel Unstructured Mesh Workflows - Part II of II1:30 PM-3:10 PMRoom:258

For Part 1 see MS97 This minisymposium presents recent advances in the development of parallel unstructured mesh methods and highlights their use in applications. These technologies are designed and implemented to support reliable simulation technologies that run on today’s leadership-class parallel systems with specific attention to next generation and emerging architectures that will bridge the peta-to-exascale gap. Unstructured meshing technologies presented in these sessions will emphasize memory-efficiency through array based data structures and adaptivity, increased fidelity through high-order methods, and parallelism in mesh generation, adaptation, and in-memory workflows. Many of the minisymposium presentations are associated with the DOE SciDAC FASTMath institute (http://www.fastmath-scidac.org/).

Organizer: Cameron SmithRensselaer Polytechnic Institute, USA

Organizer: Mark S. ShephardRensselaer Polytechnic Institute, USA

1:30-1:50 Parallel Meshing Technologies for Large Scale Adaptive SimulationsSaurabh Tendulkar, Mark Beall, and Rocco

Nastasia, Simmetrix, Inc., USA; Mark S. Shephard, Rensselaer Polytechnic Institute, USA

1:55-2:15 OCC-Based Meshing for RGG Applications Using MeshKitRajeev Jain, Argonne National Laboratory,

USA; Jacob Becker, Kitware, Inc., USA; Vijay Mahadevan, Argonne National Laboratory, USA; Patrick Shriwise, University of Wisconsin, Madison, USA; Robert O’Bara, Kitware, Inc., USA; Iulian Grindeanu, Argonne National Laboratory, USA

2:20-2:40 High-Order Semi-Lagrangian Discontinuous Galerkin Methods for Kinetic Plasma ModelsDavid C. Seal, Michigan State University,

USA; James A. Rossmanith, Iowa State University, USA; Andrew J. Christlieb, Michigan State University, USA

2:45-3:05 A Monte Carlo Method with Negative Particles for General Binary Collisions and Application to Coulomb CollisionsBokai Yan and Russel Caflisch, University of

California, Los Angeles, USA



Sunday, March 15

MS124Large Scale Phasefield Simulations of Solidification Processes1:30 PM-3:10 PMRoom:260 A

In this minisymposium we focus on the formation of patterns during the solidification process of binary and ternary eutectic systems using phase-field simulations. Depending on several different material and process parameters, the occurring patterns are changing. These patterns have a significant influence on the mechanical properties of the component. For the prediction of realistic and nonideal systems and to minimize the boundary effects, large simulation domains are required. To solve the phase-field evolution equations coupled with the evolution of concentration and temperature, in large domains, highly parallel and optimized algorithms are needed. For this some of the largest, currently available, computers are used.

Organizer: Harald KoestlerUniversity of Erlangen-Nuremberg, Germany

Organizer: Martin BauerUniversity of Erlangen-Nuremberg, Germany

1:30-1:50 Massively Parallel Phase-Field Simulations using HPC Framework waLBerlaMartin Bauer, Harald Koestler, and Ulrich

J. Ruede, University of Erlangen-Nuremberg, Germany

1:55-2:15 Large Scale and Massive Parallel Phase-field Simulations of Pattern Formations in Ternary Eutectic SystemsJohannes Hötzer, Hochschule Karlsruhe

Technik und Wirtschaft, Germany; Marcus Jainta, Philipp Steinmetz, and Britta Nestler, Karlsruhe Institute of Technology, Germany

Sunday, March 15

MS123High-Order Methods for Computational Fluid Dynamics - Part II of IV1:30 PM-3:10 PMRoom:259

For Part 1 see MS98 For Part 3 see MS150 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.




1:30-1:50 Further Developments in the Flux Reconstruction MethodAntony Jameson, Stanford University, USA

1:55-2:15 Spectral Difference Method for Large Eddy Simulation Using Non-Conforming and Sliding MeshesBin Zhang and Chunlei Liang, George

Washington University, USA

2:20-2:40 Turbulent Wall Modelling for High-Order Unstructured Methods on GPUsBrian C. Vermeire and Peter E. Vincent,

Imperial College London, United Kingdom

2:45-3:05 High-Order Methods for Turbulent Flow Simulations on Deforming DomainsPer-Olof Persson, University of California,

Berkeley, USA

Sunday, March 15

MS122Computational Approaches and Multi-scale Modeling of Complex Fluids - Part II of II1:30 PM-3:10 PMRoom:150 DE

For Part 1 see MS96 Complex fluids, which are suspensions of particles in a viscous liquid, can exhibit both viscous and elastic response to external forcing. Capturing the exact interplays between the particles and the surrounding fluid in a continuum modeling presents significant challenges as hydrodynamics interactions happen on short and long scales. Added difficulties arise when such suspensions interact with boundaries, where peculiar behavior has been experimentally observed, or when the surrounding fluid itself is viscoelastic, as it is the case of most biological liquid. This minisymposium’s goal is to explore recent advances, especially on the computational front, on both topics.

Organizer: Christel HoheneggerUniversity of Utah, USA

Organizer: Enkeleida LushiBrown University, USA

1:30-1:50 Computational Models of Cilia and Flagella in a Brinkman FluidKarin Leiderman, University of California,

Merced, USA; Sarah D. Olson, Worcester Polytechnic Institute, USA

1:55-2:15 Accurate Simulations of Complex Fluid Flow in Domains with Smooth Boundaries Using Fft-Based Spectral MethodsDavid Stein and Becca Thomases, University

of California, Davis, USA

2:20-2:40 Fluid Coupling in Continuum Modeling of Microtubule Gliding AssaysTamar Shinar and Steven Cook, University

of California, Riverside, USA; Christel Hohenegger, University of Utah, USA

2:45-3:05 Modeling Active Flows and Stress Generation in Microtubule-Motor NetworksRobert Blackwell, Meredith Betterton, and

Matthew Glaser, University of Colorado, USA; Michael J. Shelley and Tony Gao, Courant Institute of Mathematical Sciences, New York University, USA



Sunday, March 15

MS126Advances in Radial Basis Function and Other Meshfree Methods - Part V of V1:30 PM-3:10 PMRoom:151 AB

For Part 4 see MS101 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.



1:30-1:50 Kernel-Based Image ReconstructionFrank Filbir, Technische Universität

München, Germany

1:55-2:15 Reproducing Kernels in Parametric Partial Differential EquationsChristian Rieger, Universität Bonn,

Germany

2:20-2:40 Meshfree Computations with SPH and Vortex MethodsPrabhu Ramachandran, Indian Institute of

Technology-Bombay, India

2:45-3:05 A Numerical Study of the Accuracy of Divergence-Free Kernel ApproximationsArthur Mitrano, Arizona State University,

USA

Sunday, March 15

MS125Analysis of Noisy Networks in Theory and Practice - Part II of II1:30 PM-3:10 PMRoom:260 B

For Part 1 see MS100 Network analysis is an elegant, graph-based method for studying complex systems of interacting entities. However, real-world observed systems inherently include some discrepancy from reality. For example, measurements may not be exact, as not all relations are observed. Since traditional graph theory deals with exact mathematics, one of the most challenging aspects of network analysis is accounting for this noise. This minisymposium will include talks from application experts on how they handle noise, and presentations about the effect of noise in networks generally. We conclude with a discussion on how the general theory and application-specific methods can benefit from each other.

Organizer: Sanjukta BhowmickUniversity of Nebraska, Omaha, USA

Organizer: Benjamin A. MillerMassachusetts Institute of Technology, USA

1:30-1:50 Pockets of Instability in Network Centrality MetricsVladimir Ufimtsev and Sanjukta Bhowmick,

University of Nebraska, Omaha, USA

1:55-2:15 Using Consensus to Inform Stochastic Graph AggregationLayla Oesper, Brown University, USA;

Rajmonda Caceres, Massachusetts Institute of Technology, USA

2:20-2:40 Statistical Inference on Errorfully Observed GraphsCarey Priebe, Johns Hopkins University,

USA; Daniel L. Sussman, Harvard University, USA; Minh Tang, Johns Hopkins University, USA; Joshua Vogelstein, Duke University, USA; Vince Lyzinski, Donniell Fishkind, Nam Lee, Youngser Park, and Avanti Athreya, Johns Hopkins University, USA

2:45-3:05 Discussion on Future Directions of Noisy NetworksSanjukta Bhowmick, University of Nebraska,

Omaha, USA; Benjamin A. Miller, Massachusetts Institute of Technology, USA

2:20-2:40 Large-scale Multi-Phase-Field Simulation of Abnormal Polycrystalline Grain Growth using TSUBAME2.5 GPU-SupercomputerAkinori Yamanaka and Masashi Okamoto,

Tokyo University of Agriculture and Technology, Japan; Takashi Shimokawabe and Takayuki Aoki, Tokyo Institute of Technology, Japan

2:45-3:05 Multi-Gpu Phase-Field Lattice Boltzmann Simulations for Growth and Moving of Binary Alloy DendriteTomohiro Takaki and Roberto Rojas, Kyoto

Institute of Technology, Japan; Takashi Shimokawabe and Takayuki Aoki, Tokyo Institute of Technology, Japan


Sunday, March 15

Poster Blitz3:10 PM-4:30 PMRoom:355

Sunday Poster Session & ReceptionPP1 Computational Fluid Dynamics4:30 PM-6:30 PMRoom:255

Lid Driven Cavity Simulations in 2d and 3d Using High Accurate MethodsBadr Alkahtani, King Saud University, Saudia

Arabia

Numerical Study of Thin Viscoelastic Films on SubstratesValeria Barra and Shahriar Afkhami, New

Jersey Institute of Technology, USA

Flusepa - a Navier-Stokes Solver for Unsteady Problems with Bodies in Relative Motion : Toward a Task-Based Parallel Version over a Runtime System for Large SimulationsJean Marie Couteyen Carpaye and Jean

Roman, INRIA, France; Pierre Brenner, Airbus Defence and Space, Germany

A Novel Modeling Approach for Multiscale, Multiphysics FlowDerek A. Cline, University of Utah, USA

Efficiency of an Adjoint Industrial CFD CodeZahrasadat Dastouri, Johannes Lotz, and

Uwe Naumann, RWTH Aachen University, Germany

Production of Dissipative Vortices by Solid Bodies in the Inviscid Limit of Incompressible Fluid Flows: Comparison Between Prandtl, Navier-Stokes and Euler SolutionsMarie Farge, Ecole Normale Superieure,

France; Romain Nguyen van yen and Matthias Waidmann, Freie Universitaet Berlin, Germany; Kai Schneider, Aix-Marseille Université, France; Rupert Klein, Freie Universitaet Berlin, Germany

Sunday, March 15

MS128High- and Low-order Finite Element Software for the Future - Part II of II1:30 PM-3:10 PMRoom:151 G

For Part 1 see MS103 As scientific problems become larger, computational platforms become more diverse and the complexity of finite element software increases, it is essential to develop software in a sustainable way. The role of software design and the need to effectively manage the development process is therefore more important than ever before. This minisymposium will discuss experiences of how high- and low-order FEM software can be designed, developed and maintained to achieve maximum performance while remaining robust, rigorously tested and able to grow and adapt with the changing needs of the research environment, improvements in the methods and the evolving hardware landscape.

Organizer: David MoxeyImperial College London, United Kingdom


Organizer: Spencer SherwinImperial College London, United Kingdom

1:30-1:50 Nek5000: An Environment for Scalable Algorithm Development and Production SimulationsPaul F. Fischer, Argonne National

Laboratory, USA

1:55-2:15 Anisotropic Mesh Adaptation for the Many-core EraGerard J Gorman, Imperial College London,

United Kingdom

2:20-2:40 H-to-P Efficiently: a Nektar++ Update on Comparisons of Cg and HdgMike Kirby, University of Utah, USA

2:45-3:05 Heterogeneous Computing with a Homogeneous CodebaseFreddie Witherden and Peter E. Vincent,

Imperial College London, United Kingdom

Sunday, March 15

MS127Parallel, Adaptive Methods for Logically Cartesian Meshes - Part II of II1:30 PM-3:10 PMRoom:151 DE

For Part 1 see MS102 Adaptive refined Cartesian mesh methods, which started with the seminal paper by Berger-Oliger in 1984 have now been in development for just over 30 years. However, there are still many questions about the scalability of these methods. The meta-data needed to store sub-grid locations can become prohibitive, and dynamic refinement an present a challenging parallel problem. However recent developments in quad tree adaptation, as well as other approaches taken for Berger Oliger type refinement may overcome some of these problems. In this minisymposium, speakers have been asked to address the scalability of their adaptive frameworks, and more generally, share experiences using available packages, including Chombo, Paramesh, p4est, Overture, AMRClaw, GeoClaw and ForestClaw.

Organizer: Donna CalhounBoise State University, USA

Organizer: Carsten BursteddeUniversität Bonn, Germany

1:30-1:50 Recent Developments in Forest-of-octrees AMRCarsten Burstedde, Universität Bonn,

Germany; Toby Isaac and Omar Ghattas, University of Texas at Austin, USA; Donna Calhoun, Boise State University, USA

1:55-2:15 Runtimes and Autotuning and Hybrid, Oh My! Chombo Navigates the Waters of ExascaleBrian Van Straalen, Lawrence Berkeley


2:20-2:40 Exploring Astrophysical Flows with High-fidelity Large-scale SimulationsMin Long, Boise State University, USA

2:45-3:05 An Implicit, High-Order Accurate, Incompressible Navier-Stokes Solver on Overlapping GridsKyle Chand, Lawrence Livermore National

Laboratory, USA



Higher Order Numerical Schemes for Convection Diffusion Equation Based on B-Spline Quasi-InterpolationRakesh Kumar and Sambandam Baskar,

Indian Institute of Technology-Bombay, India

NIST AMR BenchmarksWilliam F. Mitchell, National Institute of

Standards and Technology, USA

Finite Element Methods for the Evolution Problem in General RelativityVincent Quenneville-Belair, University of

Minnesota, USA

Massively Parallel Radiation Transport Sweeps on Unstructured GridsJean C. Ragusa, Tarek Ghaddar, and Michael

Adams, Texas A&M University, USA

The Discrete Maximum Principle in the Family of Mimetic Finite Difference MethodsDaniil Svyatskiy, Gianmarco Manzini, and

Konstantin Lipnikov, Los Alamos National Laboratory, USA

A Locally Adaptive RBF-FD MethodWade Meyers, University of Wisconsin,

Stout, USA; Talin Masihimirzakhanian, California Polytechnic State University, Pomona, USA; Keith Wojciechowski, University of Wisconsin, Stout, USA

A Second-Order Maximum Principle Preserving Lagrange Finite Element Technique for Nonlinear Scalar Conservation EquationsJean-Luc Guermond, Murtazo Nazarov,

Bojan Popov, and Yong Yang, Texas A&M University, USA

Sunday, March 15

PP2Numerical PDEs4:30 PM-6:30 PMRoom:255

A Non Standard Scheme for Nagumo Type Differential EquationsAdebayo A. Aderogba, Michael Chapwanya,

and Pius Chin, University of Pretoria, South Africa

Reduced Basis Methods for Calibration and Option PricingOlena Burkovska, Kathrin Glau, Mirco

Mahlstedt, and Barbara Wohlmuth, Technical University of Munich, Germany

A Fast and Stable Explicit Operator Splitting Method for Phase-Field ModelsYuanzhen Cheng, Alexander Kurganov, and

Zhuolin Qu, Tulane University, USA; Tao Tang, Hong Kong Baptist University, Hong Kong

Method of Lines Transpose Schemes for Parabolic ProblemsHana Cho and Andrew J. Christlieb,

Michigan State University, USA; Matt Causley, Kattering University, USA; David Seal, Michigan State University, USA

Comparison of Nonlinear and Linear Stabilization Schemes for Advection-Diffusion EquationsRyan R. Grove and Timo Heister, Clemson

University, USA

A Task-Parallel Approach for Solving PDEs on a LatticeJohn T. Hutchins, Derek A. Cline, and James

C. Sutherland, University of Utah, USA

Finite Element Analysis of Free Material Optimization ProblemsTobias Jordan and Michael Hinze,

University of Hamburg, Germany

Physics-Compatible Lagrangian Space and Time-Staggered Hydrodynamics SchemesChristophe Fochesato, Alexandra Claisse,

and Antoine Llor, CEA, France

A Numerical Study of Shock-Induced Cavity Collapse in a Solid ExplosiveJames R. Gambino, Ashwani K. Kapila,

Donald W. Schwendeman, and William Henshaw, Rensselaer Polytechnic Institute, USA

Scalable Advection Algorithms for Multi-Tracers in Climate CodesIulian Grindeanu, Argonne National

Laboratory, USA; Kara Peterson, Sandia National Laboratories, USA; Vijay Mahadevan, Navamita Ray, and Rajeev Jain, Argonne National Laboratory, USA

Fast Ship Hydrodynamics Via Novel MethodsStavros Kontos, Technical University of

Denmark, Denmark; Ole Lindberg, FORCE Technology, Denmark; Allan Engsig-Karup and Harry Bingham, Technical University of Denmark, Denmark

A Conservative, Positivity Preserving Scheme for Reactive Solute Transport Problems in Moving DomainsSibusiso Mabuza, University of Houston,

USA

Singly-Periodic Stokes Flow with a WallForest O. Mannan and Ricardo Cortez,

Tulane University, USA

Computational Hydrodynamics: How Portable and Scalable Are Heterogeneous Programming Paradigms?Wojciech Pawlak and Allan Engsig-Karup,

Technical University of Denmark, Denmark; Stefan Glimberg, Lloyd’s Register Consulting, United Kingdom

A Fully Discrete Derivation of a Direct Ale Conservative Scheme for Compressible HydrodynamicsThibaud Vazquez-Gonzalez, Antoine Llor,

and Christophe Fochesato, CEA, France



Reaction of a Solid Tumor According to the Injection of Medical Supplies into Heart and LiverJaegwi Go, Changwon National University,

Korea

Newtonian and Non-Newtonian Fluid Dynamics in Abdominal Aortic AneurysmsDanielle D. Masse and Jason Howell,

College of Charleston, USA

Topology Backs Alternative Medicine ClaimFernando Schwartz, University of Tennessee,

USA; Louis Xiang, Chinese University of Hong Kong, Hong Kong; Kwai L. Wong, University of Tennessee and Oak Ridge National Laboratory, USA

Shear Wave Filtering in Bouligand StructuresNicolas Guarin Zapata, Purdue University,

USA; Juan Gomez, Universidad EAFIT, Colombia; Nick Yaraghi and David Kisailus, University of California, USA; Pablo Zavattieri, Purdue University, USA

Sunday, March 15

PP4Biomedical Applications4:30 PM-6:30 PMRoom:255

Reduced Order Modelling for Optimal Cancer TreatmentBahodir Ahmedov, Aachen Institute for

Advanced Study in Computational Engineering Science, Germany; Michael Herty and Martin Grepl, RWTH Aachen University, Germany

A Mesh Free Method for Numerical Simulation of Calcium Dynamics In Ventricular MyocytesEmmanuel O. Asante-Asamani, Bruce Wade,

and Zeyun Yu, University of Wisconsin, Milwaukee, USA

Computed Tear Film and Solute Dynamics on An Eye-Shaped DomainRichard Braun, University of Delaware,

USA; Longfei Li, Rensselaer Polytechnic Institute, USA; Tobin Driscoll, University of Delaware, USA; William Henshaw and Jeffrey Banks, Rensselaer Polytechnic Institute, USA; P. Ewen King-Smith, The Ohio State University, USA

The Transcriptomic Clock of Human Cerebral Cortex DevelopmentElisabeth M. Brown, Kristin Bennett,

Hannah De Los Santos, and Joey Lea, Rensselaer Polytechnic Institute, USA; Nathan Boles, Thomas Kiehl, Sally Temple, and Christopher Fasano, Neural Stem Cell Institute, USA

Computational Methods to Study the Coordination of Mechanical Forces Involved in Amoeboid Cell MigrationCalina A. Copos and Robert D. Guy,

University of California, Davis, USA

Segmentation and Processing of Brain Images of Multiple Modalities in 2 and 3 DimensionsJohn Edwards, Brian Summa, Valerio

Pascucci, and Christopher Johnson, University of Utah, USA

Improving Performance of Multi-Level Nonrigid Registration of Two Ct-Based Lung Images With Use of Gpu ComputingNathan Ellingwood and Youbing Yin,

University of Iowa, USA; Matthew Smith, National Cheng Kung University, Taiwan; Ching-Long Lin, University of Iowa, USA

Sunday, March 15

PP3Linear Algebra and Data Analysis4:30 PM-6:30 PMRoom:255

A New Test for Exclusion Algorithm to Find the Optimum Value of Function in Rn

Ibraheem Alolyan, King Saud University, Saudia Arabia

Approximation and Error Estimation in High Dimensional Space for Stochastic Collocation Methods on Arbitrary Sparse SamplesRichard Archibald, Oak Ridge National

Laboratory, USA

Rational Least Squares Fitting using Krylov SpacesMario Berljafa and Stefan Guettel, University

of Manchester, United Kingdom

A Hybrid Openmp/mpi Cg Iterative Eigensolver for First-Principles Plane Wave Materials Science CodesAndrew M. Canning, Lawrence Berkeley


All Real Eigenvalues of Symmetric TensorsCui Chunfeng and Dai Yu-Hong, Chinese

Academy of Sciences, China; Nie Jiawang, University of California, San Diego, USA

A Python Toolbox for Shape Optimization in Imaging and Data AnalysisGunay Dogan, National Institute of Standards

and Technology, USA

Discovering Block Structure in Graphs with Approximate EigenvectorsJames Fairbanks, Georgia Institute of

Technology, USA; Geoffrey D. Sanders, Lawrence Livermore National Laboratory, USA

Efficient Multigrid Methods for Distributed Optimal Control Problems Constrained by Parabolic EquationsMona Hajghassem and Andrei Draganescu,

University of Maryland, Baltimore County, USA

Computing the Heat Kernel of a Graph for a Local Clustering AlgorithmOlivia Simpson, University of California, San

Diego, USA



Sunday, March 15

PP6CSE Methods4:30 PM-6:30 PMRoom:255

Reproducible Numerical Computing with HashDistAron Ahmadia, U.S. Army Engineer

Research and Development Center, USA; Ondrej Certik, University of Nevada, Reno, USA; Christopher Kees, U.S. Army Engineer Research and Development Center, USA; Dag Sverre Seljebotn, University of Oslo, Norway; Andy R. Terrel, Continuum Analytics, USA

A Scalable Fast Method for $N$-Body Problems Based on Exact Finite Element Basis Screen FunctionsNatalie N. Beams, Luke Olson, and Jonathan

B. Freund, University of Illinois at Urbana-Champaign, USA

Boltzmann Equation Solver Adapted to Emergent Chemical Non-EquilibriumJeremiah Birrell, University of Arizona,

USA; Jon Wilkening, Lawrence Berkeley National Laboratory and University of California Berkeley, USA; Cheng Tao Yang and Johann Rafelski, University of Arizona, USA

Boltzmann Collision Operator for Cylindrically Symmetric Velocity Distributions in PlasmasYanping Chen, Yannan Shen, John Zweck,

and Matthew Goeckner, University of Texas at Dallas, USA

Analysis of a Heterogeneous Multiscale Method for PoroelasticityPaul M. Delgado, Vinod Kumar, and Son

Young Yi, University of Texas at El Paso, USA

Cell List Algorithms for Nonequilibrium Molecular DynamicsMatthew Dobson, University of

Massachusetts, Amherst, USA

Convex-Hull Classification of Molecular Data on a ClusterSally R. Ellingson and Radha Nagarajan,

University of Kentucky, USA

Direct Evaluation of Unified Extended SplinesIan D. Henriksen, Brigham Young

University, USA

Distribution Functions of Water Saturation for the Stochastic Buckley-Leverett Problem Via the Streamline MethodFayadhoi Ibrahima, Stanford University,

USA; Daniel W. Meyer, Institute of Fluid Dynamics, Switzerland; Hamdi Tchelepi, Stanford University, USA

Hybridized Reduced Basis Method and Generalized Polynomial Chaos for Solving Partial Differential EquationsJiahua Jiang, University of Massachusetts,

Dartmouth, USA

Kriging and Spatial Design Accelerated by Orders of Magnitude: Combining Low-Rank Covariance Approximations with FFT-TechniquesAlexander Litvinenko, King Abdullah

University of Science & Technology (KAUST), Saudi Arabia; Wolfgang Nowak, University of Stuttgart, Germany

A Nonlinear Non-Gaussian Smoother for Continuous Stochastic Dynamical SystemsTapovan Lolla and Pierre Lermusiaux,


Uncertainty Quantification in Incompressible Flow Using Sparse GridsFriedrich Menhorn and Tobias Neckel,

Technische Universität München, Germany

Matrix Splitting Techniques for Sampling a High-Dimensional GaussianRichard A. Norton and Colin Fox, University

of Otago, New Zealand

Time Series Estimation of a Stochastic Processes Coupled to Pdes for Multiscale ModelingCharlie Vollmer and Don Estep, Colorado

State University, USA; Anter A. El-Azab, Purdue University, USA

Fast Stochastic Simulation of Non-Gaussian Correlated Process VariationsTsui-Wei Weng, Zheng Zhang, and Luca

Daniel, Massachusetts Institute of Technology, USA

Uncertainty Quantification for Integrated Circuits and {MEMS}Zheng Zhang, Massachusetts Institute of

Technology, USA; Ibrahim Elfadel, Masdar Institute of Science and Engineering, United Arab Emirates; Luca Daniel, Massachusetts Institute of Technology, USA

Sunday, March 15

PP5Statistical Methods and Uncertainty Quantification4:30 PM-6:30 PMRoom:255

Adaptive Spectral Tensor-Train Decomposition for the Construction of Surrogate ModelsDaniele Bigoni and Allan Engsig-Karup,

Technical University of Denmark, Denmark; Youssef M. Marzouk, Massachusetts Institute of Technology, USA

A Posteriori Error Estimation for a Cut Cell Finite Volume Method in the Presence of UncertaintyJames B. Collins, West Texas A&M

University, USA; Simon Tavener and Don Estep, Colorado State University, USA

Probability Measures on Numerical Solutions of Odes for Uncertainty Quantification and InferencePatrick R. Conrad, Massachusetts Institute

of Technology, USA; Mark Girolami, University of Warwick, United Kingdom; Simo Sarkka, Aalto University, Finland; Andrew Stuart, University of Warwick, United Kingdom; Konstantinos Zygalakis, University of Southampton, United Kingdom

Adaptive Bayesian Selection, Calibration, and Validation of Coarse-Grained Models of Atomistic SystemsKathryn Farrell, J. Tinsley Oden, and Danial

Faghihi, University of Texas at Austin, USA

Emgr - Empirical Gramian FrameworkChristian Himpe, University of Münster,

Germany; Mario Ohlberger, University of Muenster, Germany

Kernel Density Estimation for Implicit Monte Carlo Radiation TransportAaron M. Holgado, Texas A&M University,

USA; Robert Holladay, Virginia Tech, USA; Allan Wollaber, Mathew Cleveland, and Todd Urbatsch, Los Alamos National Laboratory, USA; Ryan McClarren, Texas A&M University, USA

continued on next pagecontinued in next column


Sunday, March 15

PP7CSE Applications4:30 PM-6:30 PMRoom:255

Fields That Cause Elastic Breakdown in Inhomogeneous MediaNathan C. Briggs, Graeme Milton, Zoe Last

Koch, Andrew Boyles, Jonathan Boyle, Michael Primrose, and Michael Zhao, University of Utah, USA

Charge Transfer Processes at Semiconductor-Electrolyte Interfaces in Solar Cell ModelingMichael D. Harmon, Institute for

Computational Engineering and Sciences, USA

Student Chapter Develops Future ProfessionalsStacey Joseph-Ellison, Embry-Riddle

Aeronautical University, USA

Optimal Control of Miscible Displacement Equations Using Discontinuous Galerkin MethodsBrianna Lynn, Rice University, USA

Identifying and Tracking Multiple Underwater Acoustic Sources Using Characteristic SignaturesZoi-Heleni Michalopoulou, Jacob Moorman,

Jake Brusca, and Shan Fung, New Jersey Institute of Technology, USA

Elastic Deformation Due to Dislocations in a Transversely Isotropic Viscoelastic HalfspaceAmirhossein Molavi Tabrizi, Ernian Pan,

and Ali Sangghaleh, University of Akron, USA

Simulation and Modeling of Unmanned Systems for Humanitarian Applications in IndustryCourtney E. Thurston, Commonwealth

Connections Academy, USA

Universität Stuttgart, Germany; Benjamin Uekermann, Technische Universität München, Germany

Matched Asymptotic Analysis to Solve the Narrow Escape Problem in a Domain with a Long NeckXiaofei Li and Hyundae Lee, Inha

University, Korea

Computational Homogenization for the Modeling of Soft Matter MaterialsChristian Linder, Stanford University, USA

A Sparse Interpolation Algorithm for Dynamical Simulations in Computational ChemistryJames Nance, ELENA Jakubikova, and C.T.

Kelley, North Carolina State University, USA

P²NFFT - A Versatile Framework for Computing NFFT-based Fast Ewald SummationMichael Pippig and Franziska Nestler,

Chemnitz University of Technology, Germany

Sunday, March 15

PP6CSE Methods4:30 PM-6:30 PMcontinued

Spectral Noise Filtering for Fourier Transform ProfilometryThomas Höft, University of St. Thomas,

USA

Numerical Modeling of Wave Propagation in Poroelastic Media Using Optimal Staggered Implicit Finite DifferencesUrsula Iturraran-Viveros and Reymundo

Itza, Universidad Nacional Autonoma de Mexico, Mexico

Graph-Based Analysis of Three-Dimensional, Large Scale Phase-Field SimulationsMarcus Jainta, Karlsruhe Institute of

Technology, Germany; Daniel Stubenvoll, Johannes Hötzer, and Phillip Steinmetz, Karlsruhe University of Applied Sciences, Germany; Britta Nestler, Karlsruhe Institute of Technology, Germany

Uncertainty Quantification for the Estimation of the Diffusion Coefficient from Md SimulationsChangho Kim and George E. Karniadakis,

Brown University, USA

Adaptive Model Order Reduction in Forward and Inverse Multi-Frequency Problem for Maxwell’s EquationsMichal A. Kordy, Elena Cherkaev, and Phil

Wannamaker, University of Utah, USA

Sparse Spectral Tau-Method for Binary Neutron StarsStephen Lau, University of New Mexico,

USA

Time-Parallel Approaches for Complex Rotorcraft CalculationsJoshua I. Leffell, NASA Ames Research

Center, USA; Jay Sitaraman, University of Wyoming, USA; Andrew Wissink, NASA Ames Research Center, USA

Precice -- Flexible Parallel Multi-Physics CouplingFlorian Lindner and Miriam Mehl,



Sunday, March 15

PP102Minisymposterium -- Clawpack Development, Extensions and Applications4:30 PM-6:30 PMRoom:255

Organizer: Randall LeVeque, University of Washington, USA

Tsunami Modeling In North Africa Using Geoclaw Software: a Tool for the Tsunami Scenario Database in the West MediterraneanLubna Amir, USTHB University, Algeria;

Walter Dudley, University of Hawaii at Hilo, USA; Jean Roger, G-Mer Etudes Marines, France

ForestClaw : Parallel, Adaptive, Multiblock Simulations for ClawpackDonna Calhoun, Boise State University,

USA

Adjoint Methods for Guiding Adaptive Mesh Refinement in Wave Propagation ProblemsBrisa Davis and Randall LeVeque,

University of Washington, USA

A Community-Driven Collection of Approximate Riemann Solvers for Hyperbolic ProblemsMauricio J. Del Razo, University of

Washington, USA; David I. Ketcheson, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Randall LeVeque, University of Washington, USA

High Resolution Tsunami Modeling at the Mediterranean Coast of Israel Towards An Early Warning Tsunami Scenarios Data BankBarak Galanti, Israel Oceanographic and

Limnological Research, Israel

PyClaw: Accurate, Scalable Solution of Hyperbolic PDEs in PythonDavid I. Ketcheson, King Abdullah

University of Science & Technology (KAUST), Saudi Arabia; Aron Ahmadia, U.S. Army Engineer Research and Development Center, USA; Kyle T. Mandli, Columbia University, USA

Sunday, March 15

PP101Minisymposterium -- BET: Open Source Software for Stochastic Inverse Problems in a Measure-Theoretic Context4:30 PM-6:30 PMRoom:255

Organizer: Lindley C. Graham, University of Texas at Austin, USA

Bet: Algorithmic and Error AnalysesTroy Butler, University of Colorado, Denver,

USA

BET: Applications for an Open Source Inverse Problems PackageLindley C. Graham and Steven Mattis,

University of Texas at Austin, USA; Troy Butler, University of Colorado, Denver, USA; Clint Dawson, University of Texas at Austin, USA

Bet: Modifications and Analysis for Model DiscrepanciesNishant Panda, Colorado State University,

USA

Sunday, March 15

PP8AWM Workshop 4:30 PM-6:30 PMRoom:255

AWM Workshop: Sampling and Reconstruction in Inite-Dimensional Reproducing Kernel SubspaceCheng Cheng, University of Central Florida,

USA

AWM Workshop: A Lattice of Poincare Duality Algebras with Acyclic Annihilators and Finite Dimension Associated to a ManifoldCameron Crowe, Stony Brook University,

USA

AWM Workshop: Residual Based Aposteriori Error Estimation in a Fully Automatic Hp –fem for the Stokes EquationsArezou Ghesmati, Markus Buerg, and


AWM Workshop: Residual-Based A Posteriori Error Estimate for Interface Problems: Nonconforming Linear ElementsCuiyu He and Zhiqiang Cai, Purdue

University, USA; Shun Zhang, City University of Hong Kong, Hong Kong

AWM Workshop: Enhancements for Reduced Basis Methods: Reducing Offline Computational CostsJiahua Jiang, University of Massachusetts,

Dartmouth, USA

AWM Workshop: Combinatorial Navier-Stokes EquationAradhana Kumari, City University of New

York, USA

AWM Workshop: An Adaptive Gmsfem for High-Contrast Flow ProblemsGuanglian Li, Texas A&M University, USA

AWM Workshop: Propagation Failure in Discrete Inhomogeneous Media Using a Caricature of the CubicElizabeth Lydon, University of Central

Florida, USA

AWM Workshop: Nontrivial Structure in Top Homology of a SpaceChandrika Sadanand, Stony Brook

University, USA



Sparse Direct Solvers on Distributed CPU-GPU Machines (unconfirmed)Pieter Ghysels, Xiaoye Sherry Li, and

Francois-Henry Rouet, Lawrence Berkeley National Laboratory, USA; Piyush Sao and Richard Vuduc, Georgia Institute of Technology, USA

Dynamic Partitioning Using Mesh AdjacenciesCameron Smith, Dan A. Ibanez, and Gerrett

Diamond, Rensselaer Polytechnic Institute, USA

Fastmath Structured Mesh and Particle TechnologiesAnshu Dubey, Phillip Colella, Mark Adams,

Ann S. Almgren, Dan Graves, Terry J. Ligocki, and Brian Van Straalen, Lawrence Berkeley National Laboratory, USA; Milo Dorr, Lawrence Livermore National Laboratory, USA

Sundials: Suite of Nonlinear and Differential/algebraic SolversDaniel R. Reynolds, Southern Methodist

University, USA; Carol S. Woodward, Lawrence Livermore National Laboratory, USA

Hypre: High Performance PreconditionersRobert Falgout, Tzanio V. Kolev, Jacob B.

Schroder, and Ulrike M. Yang, Lawrence Livermore National Laboratory, USA

Sunday, March 15

PP103Minisymposterium -- Frameworks, Algorithms, and Scalable Technologies for Mathematics (FASTMath)4:30 PM-6:30 PMRoom:255

Organizer: Lori A. Diachin, Lawrence Livermore National Laboratory, USA

An Overview of PETScSatish Balay, Argonne National Laboratory,

USA; Jed Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA; William D. Gropp, University of Illinois at Urbana-Champaign, USA; Matthew Knepley, University of Chicago, USA; Lois Curfman McInnes, Barry F. Smith, and Hong Zhang, Argonne National Laboratory, USA

Construction of Parallel Adaptive Simulation LoopsBrian Granzow, Rensselaer Polytechnic

Institute, USA

MueLu: Multigrid Framework for Advanced ArchitecturesJonathan J. Hu and Andrey Prokopenko,

Sandia National Laboratories, USA

Parallel Unstructured Mesh InfrastructureDan A. Ibanez, E. Seegyoung Seol, and

Gerrett Diamond, Rensselaer Polytechnic Institute, USA

Massively Parallel Adaptive Simulations Using Petsc for Turbulent Boundary Layer FlowsMichel Rasquin, University of Colorado

Boulder, USA; Dan A. Ibanez, Rensselaer Polytechnic Institute, USA; Benjamin Matthews, University of Colorado Boulder, USA; Cameron Smith, Onkar Sahni, and Mark S. Shephard, Rensselaer Polytechnic Institute, USA; Kenneth Jansen, University of Colorado Boulder, USA

Sunday, March 15

PP102Minisymposterium -- Clawpack Development, Extensions and Applications4:30 PM-6:30 PMcontinued

Practical Applications of GeoClaw to Tsunami Hazard AssessmentRandall LeVeque, Loyce Adams, and Frank

I. Gonzalez, University of Washington, USA

CUDACLAW: A GPU Framework for the Solution of Hyperbolic PdesGeorge M. Turkiyyah, American University

of Beirut, Lebanon; H. Gorune Ohannessian, University of Wisconsin, USA; Aron Ahmadia, U.S. Army Engineer Research and Development Center, USA; David I. Ketcheson, King Abdullah University of Science & Technology (KAUST), Saudi Arabia



A High Order, Implicit, Hybrid Solver for Linear Kinetic EquationsMichael Crockat, Michigan State University,

USA; Charles K. Garrett and Cory Hauck, Oak Ridge National Laboratory, USA

A High Order Time Splitting Method Based on Integral Deferred Correction for Semi-Lagrangian Vlasov SimulationsWei Guo, Michigan State University, USA

Analysis of Discontinuous Galerkin Algorithms for Diffusion and for Energy-Conserving Hamiltonian DynamicsGreg Hammett, Princeton University, USA;

Ammar Hakim, Princeton Plasma Physics Laboratory, USA; Eric Shi, Ian Abel, and Tim Stoltzfus-Dueck, Princeton University, USA

Massively Parallel Calculations of Neutronics Experiments Using PdtMarvin L. Adams, Aaron Holzaepfel, W.

Daryl Hawkins, Michael Adams, Anthony Barbu, and Timmie Smith, Texas A&M University, USA

Numerical Solution of the Boltzmann Equation Using Quadrature-Based Projection MethodsJulian Koellermeier and Manuel Torrilhon,

RWTH Aachen University, Germany

Positive Filtered PN Closures for Linear Kinetic Transport Equations, with some Convergence ResultsMing Tse P. Laiu, University of Maryland,

College Park, USA; Cory Hauck, Oak Ridge National Laboratory, USA; Dianne P. O’Leary and André Tits, University of Maryland, College Park, USA

Implicit, Filtered Pn Methods for Radiation TransportRyan G. McClarren and Vincent Laboure,

Texas A&M University, USA; Cory Hauck, Oak Ridge National Laboratory, USA

Massively Parallel Nuclear Reactor Analysis Using PdtMarvin L. Adams, Carolyn McGraw, W.

Daryl Hawkins, Michael Adams, and Timmie Smith, Texas A&M University, USA

High Order Asymptotic Preserving Nodal Discontinuous Galerkin Imex Schemes for the Bgk EquationJingmei Qiu, University of Houston, USA;

Juhi Jang, University of California, Riverside, USA; Fengyan Li, Rensselaer Polytechnic Institute, USA; Tao Xiong, University of Houston, USA

Sunday, March 15

PP105Minisymposterium -- Numerical Methods for Kinetic Equations and Related Models4:30 PM-6:30 PMRoom:255

Organizer: Martin Frank, RWTH - Aachen University of Technology, Germany

Realizability Limiting in High-Order Numerical Solutions of Entropy-Based Moment ClosuresGraham Alldredge, RWTH Aachen

University, Germany; Florian Schneider, Technische Universität Kaiserslautern, Germany

Exploration and Validation of Full-Domain Massively Parallel Transport Sweep AlgorithmsTeresa S. Bailey, Peter Brown, and Adam

Kunen, Lawrence Livermore National Laboratory, USA

A New Moment Method in the Kinetic Theory of Gases Based on the L2 Function SpaceZhenning Cai and Manuel Torrilhon, RWTH

Aachen University, Germany

Markov Chain Formalism for Radiative Transfer in Planetary Atmospheres: Forward Modeling, Including LinearizationAnthony B. Davis, Feng Xu, Robert West,

and David Diner, California Institute of Technology, USA

On the Hyperbolicity of Grad’s 13 Moment SystemYuwei Fan, Peking University, China;

Zhenning Cai, RWTH Aachen University, Germany; Ruo Li, Peking University, China

Convergence of Filtered Spherical Harmonic Equations for Radiation TransportMartin Frank, RWTH - Aachen University

of Technology, Germany; Cory Hauck, Oak Ridge National Laboratory, USA; Kerstin Kuepper, RWTH - Aachen University of Technology, Germany

Sunday, March 15

PP104Minisymposterium -- Integrated Mathematics for Mesoscopic Modeling of Materials4:30 PM-6:30 PMRoom:255

Organizers:

George E. Karniadakis, Brown University, USA

Nathan Baker, Pacific Northwest National Laboratory, USA

Stochastic Methods in Mesoscopic Materials ModelingPaul J. Atzberger, University of California,

Santa Barbara, USA

Concurrent Coupling Methods in Mesoscopic Materials ModelingXin Bian, Brown University, USA

Overview of Mathematics for Mesoscopic Modeling of MaterialsGeorge E. Karniadakis, Brown University,

USA

Hierarchical Coarse-graining and Parallelization Methods for Mesoscale material ModelsMarkos A. Katsoulakis, University of

Massachusetts, Amherst, USA

Particle-Based Methods in Mesoscopic Materials ModelingZhen Li, Brown University, USA

Grid-Based Methods in Mesoscopic Materials ModelingMartin Maxey, Brown University, USA

Applications in Mesoscopic Modeling of MaterialsWenxiao Pan, Pacific Northwest National

Laboratory, USA; Mauro Perego, Sandia National Laboratories, USA

Coarse-Graining in Mesoscopic Materials ModelingPanos Stinis, University of Minnesota, USA

Ultra Coarse-Graining in Mesoscopic Materials ModelingGregory Voth, James Dama, and John Grime,

University of Chicago, USA

Fast Solvers for Mesoscopic Materials ModelingJinchao Xu and Chun Liu, Pennsylvania

State University, USA; Xiaozhe Hu, Tufts University, USA; Maximilian S. Metti, Pennsylvania State University, USA

continued in next column continued on next page


Assembly Algorithms for Pdes with Uncertain Input Data on Emerging Multicore ArchitecturesEric Phipps and H. Carter Edwards, Sandia

National Laboratories, USA

Using Multicore Parallelism for Common Finite Element OperationsBruno Turcksin, Texas A&M University,

USA; Martin Kronbichler, Technische Universität München, Germany; Wolfgang Bangerth, Texas A&M University, USA

Sunday, March 15

PP106Minisymposterium -- Scalable Finite Element Assembly4:30 PM-6:30 PMRoom:255

Organizers: Irina Demeshko, Sandia National Laboratories, USA

Eric C. Cyr, Sandia National Laboratories, USA

The scalability of PDE codes typically focuses on solving large sparse linear system of equations resulting from a FEM discretization. Finite element assembly is often dismissed as inconsequential compared to the expense of linear solves. However, due to the increased parallelism available on next-generation architectures the scalability of the assembly can became a bottleneck to achieving performance. The aim of this minisymposterium is provide a forum to discuss ideas for developing a portable scalable finite element assembly on modern and next-generation architectures.

Architecture Portable Assembly for Maxwell’s EquationsEric C. Cyr, Irina Demeshko, Roger

Pawlowski, and Matthew Bettencourt, Sandia National Laboratories, USA

Towards Exascale Implementation of the Finite Element Based Application Development EnvironmentIrina Demeshko, H. Carter Edwards, Michael

Heroux, ROGER P. Pawkowski, Eric Phipps, and Andrew Salinger, Sandia National Laboratories, USA

Multicore Finite Element Assembly Via ScansRobert C. Kirby, Baylor University, USA

Operator Transformation and Code Generation for Scientific ComputingAndreas Kloeckner, University of Illinois,

USA

OCCA: A Unified Approach to Multi-Threading LanguagesDavid Medina and Tim Warburton, Rice

University, USA; Amik St-Cyr, Shell International Exploration & Production B.V., Netherlands

Sunday, March 15

PP105Minisymposterium -- Numerical Methods for Kinetic Equations and Related Models4:30 PM-6:30 PMcontinued

Towards Hyperbolic Moment Approximations of Multicomponent PlasmasRoman P. Schärer and Manuel Torrilhon,


Ifp: An Optimal, Fully Conservative, Fully Implicit, Vlasov-Fokker-Planck Solver: PosterWilliam T. Taitano, Los Alamos National

Laboratory, USA

Residual Monte Carlo Methods Within the Moment-Based Acceleration FrameworkJeffrey A. Willert, Los Alamos National

Laboratory, USA

Asymptotic Preserving Discontinuous Galerkin Method for the Radiative Transfer EquationYulong Xing, University of Tennessee

and Oak Ridge National Laboratory, USA; Cory Hauck, Oak Ridge National Laboratory, USA



Monday, March 16

MS130Cut Cells: Algorithms and Applications - Part I of II9:10 AM-10:50 AMRoom:355 A

For Part 2 see MS157 Cut cell methods solve PDEs in complex geometry using a regular Cartesian grid with special treatment for cells that intersect the boundary. These methods are attractive because they easily represent complex and moving geometries. Cut cell methods have been used with finite difference, volume and element discretizations, across a wide range of problems, including aerodynamics, meteorology, oceanography, and others. Challenges include gaps in theoretical underpinnings; issues due to arbitrarily small cells; and the programming complexity that arises with cell merging and other stabilization techniques. This minisymposium will highlight recent algorithmic advances, and include a variety of science domain applications.


Organizer: Marsha BergerCourant Institute of Mathematical Sciences, New York University, USA

9:10-9:30 Weno Finite Volume Methods for Embedded Boundary GridsChristiane Helzel, Ruhr-Universität Bochum,

Germany

9:35-9:55 High-Order Quadrature on Implicitly Defined Domains with Application to a High-Order Embedded Boundary Discontinuous Galerkin Method for Evolving Interface ProblemsRobert Saye, Lawrence Berkeley National

Laboratory, USA

10:00-10:20 Terrain Following Versus Cut-CellsHilary Weller and James Shaw, University of

Reading, United Kingdom

10:25-10:45 Diffusion MRI on a Cartesian Grid with Immersed InterfacesKhieu Van Nguyen, CEA Saclay, France;

Jing-Rebecca Li, INRIA Saclay and CMAP Ecole Polytechnique, France; Luisa Ciobanu, CEA Saclay, France

Monday, March 16

MS129DAG-Based Efficient Scalable and Portable PDE Software9:10 AM-10:50 AMRoom:355

Directed acyclic graph (DAG) based approaches can be an effective way to manage complexity in large scale pde computations. Several different examples as well as an overview of existing approaches will be given. The examples shown will demonstrate the versatility of the approach and give some indications of its promise for present and future large scale computations arising from challenging multi-scale and multi-physics partial differential equations simulations on both multi-core and heterogeneous architectures.

Organizer: Martin BerzinsUniversity of Utah, USA

9:10-9:30 Using Multiple Dags to Ensure Portability and Scalability in Large Scale Computations Using UintahJohn A. Schmidt, University of Utah, USA

9:35-9:55 A Comparative Analysis of of Asynchronous Many Task Programming Models for Next Generation PlatformsJanine C. Bennett, H. Kolla, Jeremiah Wilke,

Keita Teranishi, Nicole Slattengren, Greg Sjaardema, and Samuel Knight, Sandia National Laboratories, USA

10:00-10:20 Structured Dagger: Supporting Asynchrony with ClarityJonathan Lifflander, University of Illinois,

USA

10:25-10:45 A DAG Approach to Tame Complexity in Multiphysics Software on Heterogeneous ArchitecturesJames C. Sutherland and Abhishek

Bagusetty, University of Utah, USA

Monday, March 16



IP5Statistical and Computational Challenges of Constraining Greenhouse Gas Budgets8:15 AM-9:00 AMRoom:355

Chair: Linda R. Petzold, University of California, Santa Barbara, USA

Predicting future changes to the global carbon cycle (and therefore climate) and quantifying anthropogenic emissions of greenhouse gases (GHGs) both require an understanding of net GHGs emissions and uptake across a variety of spatial and temporal scales. This talk will explore some of the core scientific questions related to understanding GHG budgets through the lens of the statistical and computational challenges that arise. The focus will be on the use of atmospheric observations, and applications will include the natural and anthropogenic components of the methane and carbon dioxide budgets. The discussion will include issues related to the solution of spatiotemporal inverse problems, uncertainty quantification, data fusion, gap filling, and issues of “big data” arising from the use of satellite observations.

Anna MichalakCarnegie Institution for Science and Stanford University, USA



Monday, March 16

MS133High-dimensional Approximation and Integration: Analysis and Computation - Part III of V9:10 AM-10:50 AMRoom:250 B






9:10-9:30 Multilevel Simulation of Mean Exit TimesMichael B. Giles, University of Oxford,

United Kingdom; Francisco Bernal, Instituto Superior Tecnico, Portugal

9:35-9:55 A Multilevel Stochastic Collocation Method for Pdes with Random InputsAretha Teckentrup, University of Bath, United

Kingdom; Peter Jantsch, University of Tennessee, USA; Max Gunzburger, Florida State University, USA; Clayton G. Webster, Oak Ridge National Laboratory, USA

Monday, March 16

MS132Recent Advances in Bayesian Methods for Computational Science and Engineering - Part I of II9:10 AM-10:50 AMRoom:250 A

For Part 2 see MS158 This minisymposium highlights the most recent impact of Bayesian inference for uncertainty quantification, statistical modeling, experimental design, and optimization. We discuss novel approximation techniques bringing with them a myriad of new potential applications from medicine to engineering, finance, and biology. The minisymposium brings together researchers from diverse application domains to introduce and transfer recent contributions, as well as to discuss open challenges due to increasing demand for efficient techniques.

Organizer: AlbertoGiovanni BusettoUniversity of California, Santa Barbara, USA

Organizer: James BeckCalifornia Institute of Technology, USA

9:10-9:30 Bayesian Updating for Dynamic Systems Using Subset Simulation (Beck) and Active Model Selection (Busetto)AlbertoGiovanni Busetto, University of

California, Santa Barbara, USA; James Beck, California Institute of Technology, USA

9:35-9:55 Bayesian Inference of Chemical Kinetic Models from Proposed ReactionsNikhil Galagali and Youssef M. Marzouk,


10:00-10:20 Advanced Bayesian Computation for Challenging Problems in the Sciences and EngineeringMark Girolami, University of Warwick,

United Kingdom

10:25-10:45 Topological Sensitivity Analysis in Systems BiologyAnn C. Babtie, Paul Kirk, and Michael

Stumpf, Imperial College London, United Kingdom

Monday, March 16

MS131Report on the Future of CSE Education and Research9:10 AM-10:50 AMRoom:355 D

This session will present and discuss a draft white paper on “Future Directions in CSE Education and Research” which was composed in 2014 by a subset of the CSE community under the guidance of the Officers of the SIAM Activity Group on CSE. A major goal of this session is to solicit feedback on this document from the broad CSE community. The new document follows in the footsteps of the 2001 report on “Graduate Education in CSE” (Petzold et al.). The white paper describes and investigates the rapid expansion of CSE since the beginning of the 21st century and the challenges the CSE field is encountering in the context of recent disruptive developments that include extreme-scale computing, data-driven discovery, and a comprehensive broadening of the application fields of CSE. There will be extensive opportunity for feedback and discussion, and these challenges and opportunities will also be discussed further in today’s lunchtime Forward Looking Panel.

Organizer: Hans De SterckUniversity of Waterloo, Canada



Organizer: Karen E. WillcoxMassachusetts Institute of Technology, USA

9:10-9:30 The Future of CSE ResearchUlrich J. Ruede, University of Erlangen-

Nuremberg, Germany; Lois Curfman McInnes, Argonne National Laboratory, USA



Monday, March 16

MS135Model Error Assessment in Computational Physical Models - Part I of II9:10 AM-10:50 AMRoom:250 D

For Part 2 see MS161 While parametric uncertainty quantification is performed routinely in computational science and engineering, model error assessment is still largely lacking and faces significant challenges that are yet to be resolved. For example, it is unclear how to properly disambiguate data noise from model errors. Recently there has been growing interest and some development towards the quantification of model errors, i.e. the inherent discrepancies from the truth that cannot be reduced within the model assumptions. This minisymposium focuses on state-of-the-art and novel methods for quantification of model errors. It highlights challenges and introduces a range of available methods to the computational science community, hoping to contribute significantly to improving predictive fidelity of computational physical models across a range of disciplines.

Organizer: Khachik SargsyanSandia National Laboratories, USA

Organizer: Habib N. NajmSandia National Laboratories, USA

9:10-9:30 Accounting for Model Error in the Calibration of Physical ModelsHabib N. Najm and Khachik Sargsyan,

Sandia National Laboratories, USA; Roger Ghanem, University of Southern California, USA

9:35-9:55 Predictive Rans Simulations Via Bayesian Model-Scenario AveragingRichard Dwight, Delft University of

Technology, Netherlands; Wouter Edeling, TU Delft, Netherlands; Paola Cinnella, ENSAM, ParisTech, France

Monday, March 16

MS134Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part III of IV - Sparse Matrix Methods9:10 AM-10:50 AMRoom:250 C

For Part 2 see MS107 For Part 4 see MS160 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisympoisum different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.





9:10-9:30 Inherent Error Resilience of a Complex Moment-Based EigensolverAkira Imakura, Yasunori Futamura, and

Tetsuya Sakurai, University of Tsukuba, Japan

9:35-9:55 On the Reliability of Soft Error Detection in CGPOPAgullo Emmanuel, Luc Giraud, and

Emrullah Fatih Yetkin, INRIA, France

10:00-10:20 Analysis of Krylov Solver Resilience in the Presence of Soft-FaultsMiroslav Stoyanov and Clayton G. Webster,

Oak Ridge National Laboratory, USA

10:25-10:45 The Cost of Reliability: Iterative Linear Solvers and Reactive Fault ToleranceJames Elliott, North Carolina State

University, USA; Mark Hoemmen, Sandia National Laboratories, USA; Frank Mueller, North Carolina State University, USA

10:00-10:20 Estimating the N-Width of Solution Manifolds of Parametric PdesAlbert Cohen, Université Pierre et Marie

Curie, France

10:25-10:45 Hierarchical Acceleration of Stochastic Collocation Methods for PDEs with Random Input DataGuannan Zhang and Clayton G. Webster,




Monday, March 16

MS137Advanced Finite Element Methods for Nonlinear Materials and Fluids - Part III of III9:10 AM-10:50 AMRoom:250 F

For Part 2 see MS110 Numerical modeling of materials and fluids with nonlinear behavior plays an increasing role in computational science and engineering, particularly in the high-fidelity simulation of elastic and plastic deformations, magneto-sensitive materials, liquid crystals, biological tissues and blood flow, among others. Despite a long history of efforts, there is still a need for the development of advanced finite-element methods with specific properties such as accurate representation of stresses, forces, and other quantities depending on the application. In many of these applications, mesh-adaptive implementations and efficient solvers are an important issue due to the size and complexity of the problems.




9:10-9:30 Nested Iteration and First-Order System Least Squares for Preconditioning a Two-Fluid Electromagnetic Plasma ModelChris Leibs and Thomas Manteuffel,

University of Colorado Boulder, USA

9:35-9:55 An Energy-Minimization Finite-Element Approach for the Frank-Oseen Model of Nematic Liquid CrystalsDavid B. Emerson, James H. Adler, Scott

Maclachlan, and Timothy Atherton, Tufts University, USA

Monday, March 16

MS136Advances in Time-stepping Methods - Part I of V9:10 AM-10:50 AMRoom:250 E

For Part 2 see MS162 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.

Organizer: Emil M. ConstantinescuArgonne National Laboratory, USA

Organizer: Michael GuentherBergische Universität, Germany

Organizer: Adrian SanduVirginia Tech, USA

Organizer: Raymond J. SpiteriUniversity of Saskatchewan, Canada

9:10-9:30 Generalized Structure Additive Runge-Kutta MethodsAdrian Sandu, Virginia Tech, USA; Michael

Guenther, Bergische Universität, Germany

9:35-9:55 Resolvent Expansions for Higher-order Simulations of PDEsAndrew J. Christlieb, Michigan State

University, USA; Matthew Causley, Kettering University, USA; Hana Cho, Michigan State University, USA

10:00-10:20 K-Methods, An Extension of Exponential and Rosenbrock Time IntegratorsPaul Tranquilli, Adrian Sandu, and Ross

Glandon, Virginia Tech, USA

10:25-10:45 Efficient Exponential Integrators: Construction, Analysis and ImplementationMayya Tokman, University of California,

Merced, USA

Monday, March 16

MS135Model Error Assessment in Computational Physical Models - Part I of II9:10 AM-10:50 AMcontinued

10:00-10:20 Model Calibration and Error Propagation for Large-Eddy Simulation of Turbulent FlowsMyra Blaylock, Cosmin Safta, Stefan P.

Domino, John C. Hewson, and Jeremy Templeton, Sandia National Laboratories, USA

10:25-10:45 Bayesian Model Calibration Techniques That Incorporate Mixed Effects and Model DiscrepancyBrian Williams, Los Alamos National

Laboratory, USA; Kathleen Schmidt and Ralph C. Smith, North Carolina State University, USA



Monday, March 16

MS139Inverse Analysis and Uncertainty Quantification in Fluid Mechanics - Part I of II9:10 AM-10:50 AMRoom:251 B

For Part 2 see MS165 Advances in computing resources and algorithms have enabled simulations of engineered systems of unprecedented complexity. Increasingly, these simulations are being used to inform important design and operational decisions. In this context, providing defensible uncertainty estimates for computed quantities of interest is critical. The aim of this minisymposium is to bring together researchers developing approaches for quantifying uncertainties, including those due to uncertain parameters, inadequate physical models, and uncertain or sparse experimental data, in fluid mechanics applications. There is broad interest in both statistical approaches and fluids mechanics applications for participation in this minisymposium.

Organizer: Paul BaumanState University of New York, Buffalo, USA

Organizer: Todd OliverUniversity of Texas at Austin, USA

Organizer: David SalacUniversity of Buffalo, SUNY, USA

Organizer: Abani K. PatraState University of New York, Buffalo, USA

9:10-9:30 Comparison of Laminar Flame Models in the Presence of UncertaintyPaul Bauman, State University of New York,

Buffalo, USA

9:35-9:55 Towards Experimental Design Strategies for Inadequate ModelsGabriel Terejanu and Xiao Lin, University

of South Carolina, USA

10:00-10:20 Liposome Vesicles in the Presence of UncertaintyDavid Salac, University of Buffalo, SUNY,

USA

10:25-10:45 Robust Optimization for Decision Making under UncertaintyFlorian Augustin, and Youssef M. Marzouk,


Monday, March 16

MS138UQ in Large Scale Computing - Part I of II9:10 AM-10:50 AMRoom:251 A

For Part 2 see MS164 The move towards ever-larger scale computing is bringing both challenges and opportunities to the field of uncertainty quantification. On the one hand, the increase in computing power helps to offset the cost of UQ, even for complex applications. On the other hand, communication bottlenecks, increased frequencies of soft and hard faults, and limits on memory create computational challenges for UQ algorithms. Furthermore, the relative sparsity of validation data for high-dimensional, complex applications puts strenuous demands on UQ to assess the predictive fidelity of the simulations. This minisymposium brings together talks that address these challenges.

Organizer: Bert J. DebusschereSandia National Laboratories, USA

Organizer: Eric PhippsSandia National Laboratories, USA

9:10-9:30 Parametric Uncertainty Propagation in Resilient Domain Decomposition MethodsPaul Mycek, Duke University, USA; Olivier

P. Le Maitre, LIMSI-CNRS, France; Francesco Rizzi, Khachik Sargsyan, Karla Morris, and Bert J. Debusschere, Sandia National Laboratories, USA; Omar M. Knio, Duke University, USA

9:35-9:55 Exploring Embedded Uncertainty Quantification Methods on Next-Generation Computer ArchitecturesEric Phipps, H. Carter Edwards, and Jonathan

J. Hu, Sandia National Laboratories, USA

10:00-10:20 Hierarchically Accelerated Stochastic Collocation for Random PDEsPeter Jantsch, University of Tennessee,

USA; Diego Galindo, Clayton G. Webster, and Guannan Zhang, Oak Ridge National Laboratory, USA

10:25-10:45 A Multilevel Solution Strategy for the Stochastic Galerkin Method for PDEs with Random CoefficientsSarah Osborn and Victoria Howle, Texas

Tech University, USA; Jonathan J. Hu and Eric Phipps, Sandia National Laboratories, USA

10:00-10:20 Energy Laws and First-Order System Least Squares for MHD systemsIlya Lashuk, Georgia Institute of Technology,

USA; James H. Adler and Scott Maclachlan, Tufts University, USA; Ludmil Zikatanov, Pennsylvania State University, USA

10:25-10:45 Quantity-of-Interest Based Least-Squares Finite Element MethodsJehanzeb H. Chaudhry, Florida State

University, USA; Thomas Manteuffel, University of Colorado Boulder, USA; Luke Olson, University of Illinois at Urbana-Champaign, USA; Eric C. Cyr, Sandia National Laboratories, USA; Kuo Liu and Lei Tang, University of Colorado Boulder, USA


Monday, March 16

MS142Anderson Acceleration and Applications9:10 AM-10:50 AMRoom:251 E

Anderson acceleration is an algorithm for accelerating the convergence of fixed point or Picard iteration. The method was invented in 1965 to accelerate the SCF iteration in electronic structure computations and is now widely used in that field. Anderson acceleration does not require the computation or approximation of Jacobians or Jacobian-vector products, and this can be an advantage over Newton-like methods. In this minisymposium the speakers will discuss new convergence results, open questions, and applications including multi-physics coupling and radiative transport.

Organizer: C.T. KelleyNorth Carolina State University, USA

9:10-9:30 Anderson Acceleration: Convergence Theory and Numerical ExperienceC.T. Kelley and Alex Toth, North Carolina

State University, USA

9:35-9:55 Anderson Acceleration for Parallel ApplicationsJohn Loffeld and Carol S. Woodward,

Lawrence Livermore National Laboratory, USA

10:00-10:20 On the Performance of Anderson Acceleration for Multiphysics ProblemsRoger Pawlowski, Sandia National

Laboratories, USA; Steven Hamilton and Mark Berrill, Oak Ridge National Laboratory, USA; Alexander R. Toth and C.T. Kelley, North Carolina State University, USA; Andrew Salinger, Sandia National Laboratories, USA

10:25-10:45 Accelerating the EM Algorithm for Mixture-density EstimationJoshua H. Plasse and Homer F. Walker,

Worcester Polytechnic Institute, USA

Monday, March 16

MS141Reducing Communication in Sparse Linear Solvers9:10 AM-10:50 AMRoom:251 D

As communication becomes relatively more expensive to computation on modern and future architectures, there has been much recent interest in reducing communication in linear algebra. For sparse solvers, communication-avoiding methods based on s-step iterative methods have shown great promise, but have not yet been widely adopted in practice. Hierarchical or nested solvers is another way to reduce communication and synchronization. We present recent work in these areas, with focus on preconditioned Krylov subspace solvers. Such solvers play a crucial role in CS&E.

Organizer: Erik G. BomanSandia National Laboratories, USA

9:10-9:30 Enlarged Krylov Subspace Methods for Reducing CommunicationLaura Grigori and Sophie Moufawad,

INRIA, France; Frederic Nataf, Laboratoire Jacques-Louis Lions, France

9:35-9:55 Preconditioning Communication-Avoiding Krylov MethodsSiva Rajamanickam, Sandia National

Laboratories, USA

10:00-10:20 Efficient Deflated-Based Preconditioning for the Communication-Avoiding Conjugate Gradient MethodErin C. Carson, Nicholas Knight, and James

W. Demmel, University of California, Berkeley, USA

10:25-10:45 Hierarchical and Nested Krylov Methods for Extreme-Scale ComputingHong Zhang and Lois Curfman McInnes,

Argonne National Laboratory, USA

Monday, March 16

MS140Modern Computational Modeling in Fluids

9:10 AM-10:50 AMRoom:251 C


Recent advances in computational modeling in fluids have given researchers the ability to address complex hydrodynamic phenomena observed in experiments that arise in both physical fluids problems as well as more modern biological fluid applications. In this minisymposium a survey of new modeling and computational approaches, inspired by experiment, will be presented to a diverse set of challenging problems in these areas. These problems include modern computational fluid approaches to more classic problems such as surfactant spreading and vortex merger as well as important biological problems such as sperm motility and thrombus formation.

Organizer: David T. UminskyUniversity of San Francisco, USA




9:10-9:30 A Computational Model of Sperm Motility Through Viscoelastic NetworksJacek Wrobel, Ricardo Cortez, and Lisa J.

Fauci, Tulane University, USA

9:35-9:55 Mathematical Modeling of Blood Clot Formation Under FlowKarin Leiderman, University of California,

Merced, USA

10:00-10:20 Experiment-Driven Surfactant Spreading ModelsRachel Levy, Harvey Mudd College, USA

10:25-10:45 A Multi-Moment Approach to Modeling the Onset of Vortex MergerDavid T. Uminsky, University of San

Francisco, USA


Monday, March 16

MS144Computational Methods and Uncertainty Quantification for Inverse Problems - Part I of II9:10 AM-10:50 AMRoom:254 A

For Part 2 see MS170 Inverse problems require estimating parameters in a mathematical model from indirect observations. The number of unknown parameters is typically large, and obtaining a meaningful estimate is often impossible without special techniques such as regularization. Moreover, even with regularization, the resulting computational problems are often very challenging. A separate issue is that the measurements are stochastic, prior information contains uncertainty, and hence the solutions of inverse problems contain uncertainty. In some inverse problems applications, quantifying uncertainty in solutions is essential. The talks in this minisymposium will focus on computational methods both for solving inverse problems and for quantifying uncertainty in solutions.

Organizer: Johnathan M. BardsleyUniversity of Montana, USA

Organizer: Aaron B. LuttmanNational Security Technologies, LLC, USA

9:10-9:30 An MCMC Approach to Quantifying Uncertainties in Neutron TomographyAaron B. Luttman, Eric Machorro, and Daniel

Lowe, National Security Technologies, LLC, USA

9:35-9:55 Hierarchical Bayesian Sampling for Image Reconstruction of X-Ray and Proton RadiographsMarylesa Howard, National Security

Technologies, LLC, USA; Michael Fowler, MathWorks, USA; Aaron B. Luttman, National Security Technologies, LLC, USA; Margaret Hock, Columbia University, USA

9:35-9:55 Overlapping Clustering and Ldeim in Model Reduction for Nonlinear InversionAlexander Grimm, Serkan Gugercin,

Christopher A. Beattie, and Eric De Sturler, Virginia Tech, USA; Misha E. Kilmer, Tufts University, USA

10:00-10:20 An Efficient Output Error Bound for Model Order Reduction of Parametrized Nonlinear Evolution EquationsPeter Benner, Lihong Feng, and Yongjin

Zhang, Max Planck Institute for Dynamics of Complex Systems, Germany

10:25-10:45 Efficiencies in Global Basis Approximation for Model Order Reduction in Diffuse Optical TomographyMeghan O’Connell and Misha E. Kilmer,

Tufts University, USA; Eric De Sturler, Serkan Gugercin, and Christopher A. Beattie, Virginia Tech, USA

Monday, March 16

MS143Parametric Model Reduction and Inverse Problems - Part III of IV9:10 AM-10:50 AMRoom:251 F

For Part 2 see MS116 For Part 4 see MS169 Optimization and nonlinear inverse problems require the evaluation of a nonlinear function for a slowly changing vector of parameters. If this function involves the solution of one or more partial differential equations, the computational cost may become intractable. An important way to reduce the computational cost is the use of reduced models for the function evaluation and its derivatives. Typically, one wants to maintain the parametric dependence of the problem in the reduced model. The presentations in this minisymposium consider both applications and the theoretical background of parametric model reduction and inverse problems as well as competing stochastic approaches and their links with model reduction.







9:10-9:30 Solution of the Full Waveform Inversion Problems via Projection based Reduced Order ModelsVladimir L. Druskin, Schlumberger-Doll

Research, USA; Alexander V. Mamonov, University of Texas at Austin, USA; Mikhail Zaslavsky, Schlumberger-Doll Research, USA



Monday, March 16

MS146Student Days: Undergraduate Sessions - Part I of II9:10 AM-10:50 AMRoom:254 C

For Part 2 see MS172 Sponsored by the SIAG Applied Mathematics Education

Undergraduate Research in Applied and Computational Mathematics.

Organizer: Peter R. TurnerClarkson University, USA

9:10-9:21 Interpreting Twitter Data from World Cup TweetsCarol Sadek and Caley Johns, Wofford

College, USA

9:26-9:37 Higher Dimensional Smooth Data Interpolation: Algorithmic Techniques from Computational GeometryAriel Herbert-Voss, University of Utah, USA

9:42-9:53 Valuation of American Options and E. Coli MutationsJames A. Stronz, University of Illinois at

Urbana-Champaign, USA

9:58-10:09 The Effects of Chronic Wasting Disease on Pennsylvania Deer and Coyote PopulationsBrandon D. Thrush, Shippensburg University,

USA

10:14-10:25 Application of Lévy-Flight Firefly Algorithm in Solving Several Engineering ProblemsFauziah Andini Putri, Bandung Institute of

Technology, Indonesia

10:30-10:41 A Bioinformatic Approach to Colorectal Cancer ResearchNicolas Limogiannis and Nick Napier,

Wofford College, USA

Monday, March 16

MS145Task-based Scientific Computing Applications - Part I of II9:10 AM-10:50 AMRoom:254 B

For Part 2 see MS171 The extreme complexity of hardware platforms makes them harder and harder to program. To fully exploit such machines, the High Performance Community often uses a MPI + X (X being pthreads, OpenMP, Cuda ...) programming models. In this minisymposium, we overview an alternative solution consisting of programming at a higher level of abstractions by descrbing a scientific computing application as a sequence of tasks. Taking care of the dependences between tasks, a runtime system then processes the different tasks on the available computational units.



9:10-9:30 A Task-Based Sparse Direct Solver Suited for Large Scale Hierarchical/heterogeneous ArchitecturesPierre Ramet, LABRI, Univ Bordeaux, France

9:35-9:55 Sparse Direct Solvers on Top of a Runtime SystemEmmanuel Agullo, INRIA, France; Alfredo

Buttari, CNRS, France; Florent Lopez, Universite Paul Sabatier, France; Abdou Guermouche, LaBRI, France

10:00-10:20 An Adaptable, Application-Aware Task-Centric Runtime SystemGeorge Bosilca, University of Tennessee,

Knoxville, USA

10:25-10:45 Task-Based Parallelization of the Fast Multipole Method on NVIDIA GPUs and Multicore ProcessorsEric F. Darve, Stanford University, USA;

Emmanuel Agullo, Berenger Bramas, and Olivier Coulaud, INRIA, France; Matthias Messner, Stanford University, USA; Toru Takahashi, Nagoya University, Japan

Monday, March 16

MS144Computational Methods and Uncertainty Quantification for Inverse Problems - Part I of II9:10 AM-10:50 AMcontinued

10:00-10:20 Methods for Accurate and Efficient Computation of the Proper-Orthogonal-Decomposition with Large Data SetsBrian Helenbrook and Fariddudin Behzad,

Clarkson University, USA

10:25-10:45 Proper Orthogonal Decomposition Based Reduced Order Modeling for Real Time Monte Carlo SimulationIndika G. Udagedara and Brian Helenbrook,

Clarkson University, USA; Aaron B. Luttman and Stephen Mitchell, National Security Technologies, LLC, US


Monday, March 16

MS149FASTMath Solver Technologies: Advances and Applications - Part I of II9:10 AM-10:50 AMRoom:258

For Part 2 see MS175 Efficient, scalable, and reliable algorithms for the solution of algebraic equations are crucial for the success of large-scale simulations. This minisymposium focuses on new developments in FASTMath solver algorithms and software, which include iterative and direct linear solution methods, nonlinear solvers, and eigensolvers, and their use in applications. We will describe efforts to increase the efficiency of algorithms and software, extensions of their usability to next generation computers, including heterogeneous architectures, mesh solver interactions as well as the impact of FASTMath solvers on large-scale multiphysics applications.

Organizer: Ulrike M. YangLawrence Livermore National Laboratory, USA

9:10-9:30 New Developments in hypre’s Interfaces and SolversUlrike Meier Yang, Lawrence Livermore


9:35-9:55 Strategies for Reducing Setup Costs in Algebraic MultigridJonathan J. Hu and Andrey Prokopenko,


10:00-10:20 A Distributed CPU-GPU Sparse Direct SolverXiaoye Sherry Li, Lawrence Berkeley

National Laboratory, USA; Piyush Sao and Richard Vuduc, Georgia Institute of Technology, USA

10:25-10:45 Next Generation Sparse Symmetric FactorizationMathias Jacquelin and Esmond G. Ng,

Lawrence Berkeley National Laboratory, USA

Monday, March 16

MS148Reduced-order Models for PDE-constrained Optimization Problems - Part I of II9:10 AM-10:50 AMRoom:150 DE

For Part 2 see MS174 Model reduction is an indispensable tool for simulation-based science, in problem tasks where multiple simulation requests or real-time simulation response by fast approximate models are desired. This minisymposium addresses the particular challenges of model reduction for optimization and optimal control, i.e. scenarios such as shape optimization, parameter optimization, multi-objective optimization, optimal control, feedback control or other PDE-constrained optimization problems. Such problems are relevant to many applications in science and engineering, such as fluid mechanics, solid mechanics, geophysics, electro-magnetics and acoustics.

Organizer: Andrea ManzoniÉcole Polytechnique Fédérale de Lausanne, Switzerland

Organizer: Bernard HaasdonkUniversity of Stuttgart, Germany

9:10-9:30 Projection-based ROMs for Parametrized PDE-constrained Optimization and Control ProblemsAndrea Manzoni, École Polytechnique

Fédérale de Lausanne, Switzerland

9:35-9:55 Aeroelastic Design Optimization with Flutter Constraints and Local Rom InterpolationYoungsoo Choi, David Amsallem, and

Charbel Farhat, Stanford University, USA

10:00-10:20 POD-G Reduced Order Models for Prediction and Control of Turbulent FlowsS.S. Ravindran, University of Alabama,

Huntsville, USA

10:25-10:45 Parameterized Reduced-Order Models for Shape Optimization of Flow DomainsJeff Borggaard, Virginia Tech, USA

Monday, March 16

MS147Hybrid and Multilevel Approaches to Kinetic Equations - Part I of IV9:10 AM-10:50 AMRoom:150 AB

For Part 2 see MS173 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.






9:10-9:30 Kinetic Theory Molecular DynamicsFrank Graziani, Lawrence Livermore


9:35-9:55 Realizability in High-Order Numerical Solutions of Entropy-Based Moment ClosuresGraham Alldredge, RWTH Aachen

University, Germany

10:00-10:20 A High-Order / Low-Order Approach to Ocean ModelingChris Newman, Geoff Womeldorff, Dana

Knoll, and Luis Chacon, Los Alamos National Laboratory, USA

10:25-10:45 Control Strategies for Multi-Agent GamesMichael Herty, RWTH - Aachen University

of Technology, Germany


Monday, March 16

MS152Recent Advances in a Posteriori Error Estimations and Adaptive Methods - Part I of II9:10 AM-10:50 AMRoom:260 B

For Part 2 see MS178 Self-adaptive numerical methods provide a powerful and automatic approach in scientific computing. In particular, Adaptive Mesh Refinement (AMR) algorithms have been widely used in computational science and engineering and have become a necessary tool in computer simulations of complex natural and engineering problems. The key ingredient for success of self-adaptive numerical methods is a posteriori error estimates that are able to accurately locate sources of global and local error in the current approximation. Talks in this minisymposium will cover some recent advances in the development and analysis of both a posteriori estimators and (convergent) adaptive schemes, as well as indicate directions of future research

Organizer: Zhiqiang CaiPurdue University, USA

Organizer: Shun ZhangCity University of Hong Kong, Hong Kong

9:10-9:30 Recovery Based a Posteriori Error Estimation for Finite Element MethodsZhiqiang Cai, Purdue University, USA

9:35-9:55 Localized H(div) Recovery-Based a Posteriori Error EstimatorsXu Zhang and Zhiqiang Cai, Purdue

University, USA

10:00-10:20 Robust a-Posteriori Error Estimation for Finite Element Approximation to H(curl) ProblemShuhao Cao, Pennsylvania State University,

USA

10:25-10:45 Adaptive Finite Element Methods for Fourth Order ProblemsJun Hu, Peking University, China

Monday, March 16

MS151Software Components for Integral Equation Methods - Part I of IV9:10 AM-10:50 AMRoom:260 A

For Part 2 see MS177 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.

Organizer: Timo BetckeUniversity College London, United Kingdom

Organizer: Andreas KloecknerUniversity of Illinois, USA

9:10-9:30 BEM++ - Building Blocks for Galerkin Boundary Element MethodsTimo Betcke, Simon Arridge, and Elwin

van’t Wout, University College London, United Kingdom

9:35-9:55 Resolving Uncomfortable Tradeoffs in Building Fast Boundary-Element Method Solvers: It’s Not the Hows, It’s the WhysJaydeep Bardhan, Northeastern University,

USA; Matthew G. Knepley, University of Chicago, USA

10:00-10:20 A Numerical Routine for Fast Spherical Grid RotationsShravan Veerapaneni, University of

Michigan, USA

10:25-10:45 Applications of Accelerated BEM in AeronauticsNolwenn Balin and Benoit Lizé, Airbus,

United Kingdom; Guillaume Sylvand, Airbus Operation S.A.S., France; Isabelle Terrasse, Airbus, United Kingdom

Monday, March 16

MS150High-Order Methods for Computational Fluid Dynamics - Part III of IV9:10 AM-10:50 AMRoom:259

For Part 2 see MS123 For Part 2 see MS176 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.




9:10-9:30 Understanding the Role of Spectral Vanishing Viscosity in High Reynolds Number FlowsRodrigo Moura, Jean-Eloi Lombard, David

Moxey, Yan Bao, and Spencer Sherwin, Imperial College London, United Kingdom

9:35-9:55 A Theoretical and Computational Framework for Measure-Valued Solutions to Conservation LawsZakerzadeh Mohammad and Georg May,


10:00-10:20 An Implicit Les Strategy for High Order Discontinuous Galerkin DiscretizationsAndrea D. Beck and David Flad, University

of Stuttgart, Germany; Claus-Dieter Munz, Institut fuer Aerodynamik und Gasdynamik (IAG), Germany

10:25-10:45 High-Order Finite-Volume Solution of Turbulent Aerodynamic FlowsAlireza Jalali and Carl Ollivier-Gooch,

University of British Columbia, Canada


Monday, March 16

MS155Large Scale Computing in the Geosciences - Part I of II9:10 AM-10:50 AMRoom:151 G

For Part 2 see MS181 Advances in scientific computing (new algorithms, open-source software, high performance computing) have made it possible to solve larger and larger problems. These advances are especially advantageous in the geosciences, where typical problems are time-dependent and three-dimensional with little or no symmetry and with important dynamics at multiple scales. Geoscientists are increasingly relying on cutting-edge software and algorithms to advance the understanding of planet Earth. This minisymposium brings together geophysicists, mathematicians, and computer scientists to discuss the latest developments at the intersection of these fields.

Organizer: Sander RhebergenUniversity of Oxford, United Kingdom

Organizer: Andrew J. WathenUniversity of Oxford, United Kingdom

Organizer: Richard F. KatzUniversity of Oxford, United Kingdom

9:10-9:30 Three-Field Block-Preconditioners for Models of Coupled Magma/mantle DynamicsSander Rhebergen, University of Oxford,

United Kingdom; Garth Wells, University of Cambridge, United Kingdom; Andrew J. Wathen and Richard F. Katz, University of Oxford, United Kingdom; Laura Alisic and John Rudge, University of Cambridge, United Kingdom

9:35-9:55 Parallel and Adaptive Mantle Convection Simulation in AspectTimo Heister, Clemson University, USA;


10:00-10:20 HPC Finite Elements for Nonlinear Stokes FlowDave A. May, ETH Zürich, Switzerland; Jed

Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA

10:25-10:45 Large-Scale Forward and Inverse Numerical Simulations of Crustal and Lithospheric-Scale DeformationBoris Kaus, Anton Popov, and Tobias

Baumann, Johannes Gutenberg-Universität, Mainz, Germany

Monday, March 16

MS154Novel Spectral Approximation: Theory, Algorithms and Applications - Part I of II9:10 AM-10:50 AMRoom:151 DE

For Part 2 see MS180 Spectral and high-order methods traditionally offer high-accuracy computational results in scientific computing. Yet, recent research focuses on very different and compelling advantages for applications. These include low dispersion for wave propagation problems, near-minimal degrees of freedom for oscillatory problems and great flexibility in dealing with complicated geometries. The goal of this minisymposium is to present an overview of such contemporary research topics. Methods of recent interest include Fourier extensions or continuations, radial basis functions and redundant frame discretizations. Challenges involve obtaining fast transforms and well-conditioned discretizations, or overcoming ill-conditioning in methods involving redundancy. The focus ranges from theory to applications.

Organizer: Daan HuybrechsKatholieke Universiteit Leuven, Belgium

9:10-9:30 Fast Spectral PDE Solvers for Complex Structures: the Fourier-Continuation MethodOscar P. Bruno, California Institute of

Technology, USA

9:35-9:55 Frame Theoretic Convolutional GriddingAnne Gelb, Arizona State University, USA;

Guohui Song, Clarkson University, USA

10:00-10:20 Optimized Fourier Continuation MethodsMark Lyon, University of New Hampshire,

USA

10:25-10:45 A New Radial Basis Functions (RBF)-based Frame Method to Bypass the Runge PhenomenonCecile M. Piret, Université Catholique de

Louvain, Belgium

Monday, March 16

MS153A Hierarchy of Models for Computational Neuroscience9:10 AM-10:50 AMRoom:151 AB

This minisymposium will focus on a hierarchy of mathematical/physical models (from discrete ions to the continuum drift-diffusion model to a continuum spine model) for predicting neurological behavior at various levels. Numerical simulations and mathematical analyses of the models will be presented, and applied to diverse neuroscience problems like the retina, sensory processing, and neuron signaling.

Organizer: Carl L. GardnerArizona State University, USA

Organizer: Steven M. BaerArizona State University, USA

9:10-9:30 Continuum Spine Modeling with Application to Outer Retina NeurocircuitrySteven M. Baer, Arizona State University,

USA

9:35-9:55 Simulation of the Ephaptic Effect in the Cone-Horizontal Cell Synapse of the RetinaCarl L. Gardner, Arizona State University,

USA

10:00-10:20 Modeling of Calcium-Induced Calcium ReleaseDirk Gillespie, Rush University Medical

Center, USA

10:25-10:45 Dendritic Coincidence Detection Enabling Wordspotting ComputationJennifer Hasler, Georgia Institute of

Technology, USA


Monday, March 16

MS156Featured Minisymposium: Physics-compatible Numerical Methods1:30 PM-3:10 PMRoom:355

Physics-compatible numerical methods are methods that aim to preserve key mathematical and physical properties of continuum physics models in their finite-dimensional algebraic representations. They include methods which preserve properties such as energy, monotonicity, maximum principles, symmetries, and involutions of the continuum models. Examples are mimetic methods for spatial discretizations, variational and geometric integrators, conservative finite-volume and finite- element methods, etc. Research on physics-compatible numerical methods is rapidly becoming a major research thrust across multiple disciplines within the broader area of computational science and engineering. Our principal goal in arranging this minisymosium is to give samples of this flourishing field.

Organizer: Mikhail ShashkovLos Alamos National Laboratory, USA

1:30-1:50 Mimetic Finite-Difference MethodsMikhail Shashkov, Los Alamos National

Laboratory, USA

1:55-2:15 A High-Order/Low-Order Exponentially-Convergent IMC MethodSimon Bolding and Jim E. Morel, Texas

A&M University, USA; Robert B. Lowrie, Los Alamos National Laboratory, USA

2:20-2:40 Multiphysics Lagrangian/Eulerian Modeling and deRham Complex Based AlgorithmsAllen C. Robinson, Sandia National

Laboratories, USA

2:45-3:05 A Sub Cell Dynamics Based Closure Model for Multimaterial Arbitrary Lagrangian Eulerian CodesAndrew J. Barlow, Atomic Weapons

Establishment, United Kingdom

Monday, March 16

PD3 PanelThe Future of CSE as a Discipline12:15 PM-1:30 PMRoom:355 D

Chair: David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

Over the past two decades Computational Science and Engineering (CSE) has penetrated the academy, with prominent roles in advancing research and providing interdisciplinary education. However, a combination of disruptive developments -- including extreme-scale computing, big data, and a significant diversification of the applications of CSE in science, technology, and society -- is redefining the scope and reach of CSE. This forward-looking panel will explore the future of CSE in a broad academic context. What new “grand challenges” may drive progress in CSE? How can CSE shape the future of new application fields such as computational medicine and biology, computational geoscience, and materials science? Are there opportunities to extend CSE to new areas such as social network analysis, cybersecurity and the social sciences, with mathematics-based large-scale computing rapidly becoming of crucial importance in almost all areas of society? Is the CSE paradigm and focus sufficiently unique and significant to warrant separate programs, graduate degrees, academic departments, and funding streams?

Panelists:Lorena BarbaBoston University, USA

Wolfgang MarquardtRWTH Aachen University, Germany

J. Tinsley OdenUniversity of Texas at Austin, USA

Padma RaghavanPennsylvania State University, USA

Ed SeidelUniversity of Illinois at Urbana-

Champaign, USA

Monday, March 16Coffee Break10:50 AM-11:20 AMRoom:255

IP6Scaling Open Systems for Future Computational Challenges11:20 AM-12:05 PMRoom:355

Chair: Anders Logg, Chalmers University of Technology, Sweden

Computational models are changing rapidly, partially in response to growing data size and advances in high-performance computing. Open approaches are well suited to this dynamic environment as they provide agile responses to complex, evolving code, and support the greater goal of ensuring reproducible science. This presentation introduces some open initiatives addressing big data and HPC and the role that software architectures and processes plays in advancing scientific computation. Also discussed are emerging trends including competitive challenges and active publications that will likely play an important role in the creation, development and deployment of computational software.

Will SchroederKitware, Inc., USA



Monday, March 16

MS159High-dimensional Approximation and Integration: Analysis and Computation - Part IV of V1:30 PM-3:10 PMRoom:250 B






1:30-1:50 Option Pricing and the Anova Decomposition of a Function of An Infinite Number of VariablesIan H. Sloan and Frances Y. Kuo, University

of New South Wales, Australia; Michael Griebel, University of Bonn, Germany

1:55-2:15 Application of Quasi-Monte Carlo Methods to PDEs with Random CoefficientsFrances Y. Kuo, University of New South

Wales, Australia

2:20-2:40 Adaptive Monte Carlo and Quasi-Monte Carlo IntegrationFred J. Hickernell, Lan Jiang, and Antoni

Luís Jiménez Rugama, Illinois Institute of Technology, USA

Monday, March 16

MS158Recent Advances in Bayesian Methods for Computational Science and Engineering - Part II of II1:30 PM-3:10 PMRoom:250 A

For Part 1 see MS132 This minisymposium highlights the most recent impact of Bayesian inference for uncertainty quantification, statistical modeling, experimental design, and optimization. We discuss novel approximation techniques bringing with them a myriad of new potential applications from medicine to engineering, finance, and biology. The minisymposium brings together researchers from diverse application domains to introduce and transfer recent contributions, as well as to discuss open challenges due to increasing demand for efficient techniques.

Organizer: AlbertoGiovanni BusettoUniversity of California, Santa Barbara, USA

Organizer: James BeckCalifornia Institute of Technology, USA

1:30-1:50 On the Use of Particle Based Methods for the Real Time Identification and Control of Nonlinear Dynamical SystemsEleni Chatzi, ETH Zürich, Switzerland

1:55-2:15 Bayesian Uncertainty Quantification and Propagation for Molecular Dynamic Simulations in Nanoscale Fluid MechanicsPetros Koumoutsakos and Panagiotis

Angelikopoulos, ETH Zürich, Switzerland; Costas Papadimitriou, University of Thessaly, Greece

2:20-2:40 Sequentially Constrained Monte CarloDave A. Campbell, Simon Fraser University,

Canada; Shirin Golchi, Columbia University, USA

2:45-3:05 Computationally Efficient Tools for Bayesian Uncertainty Quantification and Propagation in Structural DynamicsCostas Papadimitriou, University

of Thessaly, Greece; Panagiotis Angelikopoulos, Panagiotis Hadjidoukas, and Petros Koumoutsakos, ETH Zürich, Switzerland

Monday, March 16

MS157Cut Cells: Algorithms and Applications - Part II of II1:30 PM-3:10 PMRoom:355 A

For Part 1 see MS130 Cut cell methods solve PDEs in complex geometry using a regular Cartesian grid with special treatment for cells that intersect the boundary. These methods are attractive because they easily represent complex and moving geometries. Cut cell methods have been used with finite difference, volume and element discretizations, across a wide range of problems, including aerodynamics, meteorology, oceanography, and others. Challenges include gaps in theoretical underpinnings; issues due to arbitrarily small cells; and the programming complexity that arises with cell merging and other stabilization techniques. This minisymposium will highlight recent algorithmic advances, and include a variety of science domain applications.


Organizer: Marsha BergerCourant Institute of Mathematical Sciences, New York University, USA

1:30-1:50 A Higher-Order Cut Cell Finite Volume Method For Advection-DiffusionDharshi Devendran and Hans Johansen,

Lawrence Berkeley National Laboratory, USA

1:55-2:15 A Mixed Explicit Implicit Time Stepping Scheme for Cartesian Embedded Boundary MeshesSandra May, ETH Zürich, Switzerland;

Marsha Berger, Courant Institute of Mathematical Sciences, New York University, USA

2:20-2:40 Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of Hyperbolic EquationsChi-Wang Shu, Brown University, USA

2:45-3:05 Representing Topography in Earth System Models with Porous BarriersAlistair Adcroft, Princeton University, USA



2:20-2:40 Hierarchical Resilience for Structured AMRAnshu Dubey, Lawrence Berkeley National

Laboratory, USA; Hajime Fujita and Zachary Rubenstein, University of Chicago, USA; Brian Van Straalen, Lawrence Berkeley National Laboratory, USA; Andrew A. Chien, University of Chicago and Argonne National Laboratory, USA

2:45-3:05 Resilience Properties of Gossip-Style AlgorithmsWilfried N. Gansterer, Gerhard

Niederbrucker, Michael Moldaschl, and Karl Prikopa, University of Vienna, Austria

Monday, March 16

MS160Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part IV of IV - Applications1:30 PM-3:10 PMRoom:250 C

For Part 3 see MS134 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisymposium different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.





1:30-1:50 Adaptive Determination of Optimal Multilevel Monte Carlo parameters in the Presence of FailuresPeter Arbenz and Stefan Pauli, ETH Zürich,

Switzerland

1:55-2:15 Spatial Decomposition for Resilient Extreme-Scale Scientific SimulationsFrancesco Rizzi, Khachik Sargsyan,

Karla Morris, and Cosmin Safta, Sandia National Laboratories, USA; Paul Mycek and Omar M. Knio, Duke University, USA; Olivier LeMaitre, LIMSI-CNRS, France; Habib N. Najm and Bert J. Debusschere, Sandia National Laboratories, USA

Monday, March 16

MS159High-dimensional Approximation and Integration: Analysis and Computation - Part IV of V1:30 PM-3:10 PMcontinued

2:45-3:05 H-Matrix Accelerated Second Moment Analysis for Potentials with Rough CorrelationHelmut Harbrecht, Juergen Doelz, and

Michael Peters, Universität Basel, Switzerland; Christoph Schwab, ETH Zürich, Switzerland



2:20-2:40 Fast Time-Domain Simulation for Reliable Fault DetectionE. Jan W. ter Maten, Bergische Universität

Wuppertal, Germany; Bratislav Tasic, Jos J. Dohmen, Theo G.J. Beelen, and Rick Janssen, NXP Semiconductors, Research, The Netherlands; Wil Schilders, Eindhoven University of Technology, Netherlands; Michael Guenther, Bergische Universität, Germany

2:45-3:05 Modelling Transmission Power Systems with the Implicit DAE Solver, IDAPhilip Top, Carol S. Woodward, and Alan

Hindmarsh, Lawrence Livermore National Laboratory, USA

Monday, March 16

MS162Advances in Time-stepping Methods - Part II of V1:30 PM-3:10 PMRoom:250 E

For Part 1 see MS136 For Part 3 see MS188 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.





1:30-1:50 Optimal Convergence Rates of Co-Simulation Using Fine Structure AnalysisAndreas Bartel and Kai Gausling, University

of Wuppertal, Germany; Sebastian Schöps, TU Darmstadt, Germany

1:55-2:15 Trigonometric Integration Methods in Circuit SimulationHans-Georg Brachtendorf and Kai Bittner,

University of Applied Science Hagenberg, Austria

Monday, March 16

MS161Model Error Assessment in Computational Physical Models - Part II of II1:30 PM-3:10 PMRoom:250 D

For Part 1 see MS135 While parametric uncertainty quantification is performed routinely in computational science and engineering, model error assessment is still largely lacking and faces significant challenges that are yet to be resolved. For example, it is unclear how to properly disambiguate data noise from model errors. Recently there has been growing interest and some development towards the quantification of model errors, i.e. the inherent discrepancies from the truth that cannot be reduced within the model assumptions. This minisymposium focuses on state-of-the-art and novel methods for quantification of model errors. It highlights challenges and introduces a range of available methods to the computational science community, hoping to contribute significantly to improving predictive fidelity of computational physical models across a range of disciplines.


Organizer: Habib N. NajmSandia National Laboratories, USA

1:30-1:50 Uncertainty in Reynolds Stress Closures for Turbulent Flow CalculationsGianluca Iaccarino and Michael A. Emory,

Stanford University, USA; Catherine Gorle, University of Antwerp, Belgium

1:55-2:15 Eddy Viscosity Model Selection for Transonic Turbulent Flows Using Shrinkage RegressionLawrence Dechant, Sophia Lefantzi, Jaideep

Ray, and Srinivasan Arunajatesan, Sandia National Laboratories, USA

2:20-2:40 Estimating a Model Discrepancy Term for the Community Land Model Using Latent Heat and Runoff ObservationsJaideep Ray and Laura Swiler, Sandia

National Laboratories, USA; Maoyi Huang and Zhangshuan Hou, Pacific Northwest National Laboratory, USA

2:45-3:05 Formulation and Calibration of a Stochastic Model Form Error Representation for RansRobert D. Moser, Todd Oliver, and Bryan

Reuter, University of Texas at Austin, USAcontinued in next column


Monday, March 16

MS165Inverse Analysis and Uncertainty Quantification in Fluid Mechanics - Part II of II1:30 PM-3:10 PMRoom:251 B

For Part 1 see MS139 Advances in computing resources and algorithms have enabled simulations of engineered systems of unprecedented complexity. Increasingly, these simulations are being used to inform important design and operational decisions. In this context, providing defensible uncertainty estimates for computed quantities of interest is critical. The aim of this minisymposium is to bring together researchers developing approaches for quantifying uncertainties, including those due to uncertain parameters, inadequate physical models, and uncertain or sparse experimental data, in fluid mechanics applications. There is broad interest in both statistical approaches and fluids mechanics applications for participation in this minisymposium.

Organizer: Paul BaumanState University of New York, Buffalo, USA

Organizer: Todd OliverUniversity of Texas at Austin, USA

Organizer: David SalacUniversity of Buffalo, SUNY, USA

Organizer: Abani K. PatraState University of New York, Buffalo, USA

1:30-1:50 Calibration of the Spalart-Allmaras Turbulence Model for Blunt Body Re-Entry Vehicle Flows Using DNS DataRobert D. Moser, Todd Oliver, Victor

Topalian, and Rhys Ulerich, University of Texas at Austin, USA

1:55-2:15 Predictive Uncertainty Quantification of An Ablating Entry Vehicle HeatshieldRoy Stogner, University of Texas at Austin,

USA

Monday, March 16

MS164UQ in Large Scale Computing - Part II of II1:30 PM-3:10 PMRoom:251 A

For Part 1 see MS138 The move towards ever-larger scale computing is bringing both challenges and opportunities to the field of uncertainty quantification. On the one hand, the increase in computing power helps to offset the cost of UQ, even for complex applications. On the other hand, communication bottlenecks, increased frequencies of soft and hard faults, and limits on memory create computational challenges for UQ algorithms. Furthermore, the relative sparsity of validation data for high-dimensional, complex applications puts strenuous demands on UQ to assess the predictive fidelity of the simulations. This minisymposium brings together talks that address these challenges.

Organizer: Bert J. DebusschereSandia National Laboratories, USA

Organizer: Eric PhippsSandia National Laboratories, USA

1:30-1:50 Information-Theoretic Tools for Uncertainty Quantification of High Dimensional Stochastic Models.Paul Dupuis, Brown University, USA;

Markos Katsoulakis and Yannis Pantazis, University of Massachusetts, Amherst, USA; Petr Plechac, University of Delaware, USA

1:55-2:15 Highly Scalable Hierarchical Sampling Algorithms for Gaussian Random FieldsPanayot Vassilevski and Umberto E. Villa,


2:20-2:40 Use of Parallel MCMC Methods with the Community Land ModelJaideep Ray and Laura Swiler, Sandia

National Laboratories, USA; Maoyi Huang and Jason Hou, Pacific Northwest National Laboratory, USA

2:45-3:05 A Fast N-body Algorithm for Kernel Sums in High DimensionsGeorge Biros and Bill March, University of

Texas at Austin, USA; Bo Xiao, Georgia Institute of Technology, USA

Monday, March 16

MS163Sparse Matrix Factorization on GPU's1:30 PM-3:10 PMRoom:250 F

Many problems of engineering interest (structural analysis, circuit simulation, statistics, etc.) require the factorization and solution of large sparse linear systems. While today’s GPUs can provide several teraflops of performance in a desktop configuration, the use of GPUs for direct sparse factorization has been limited due to the very irregular nature of the problem. Recently researchers have been making significant progress in accelerating direct sparse factorization methods such as QR, LU and Cholesky, and LDLT on GPUs. The purpose of this minisymposium is to bring together researchers studying algorithms for accelerating direct sparse factorization on GPUs.

Organizer: Steven C. RennichNVIDIA, USA

Organizer: Timothy A. DavisTexas A&M University, USA

1:30-1:50 Accelerating the Supernodal Sparse Cholesky Factorization on GPUsSteven C. Rennich, NVIDIA, USA; Timothy

A. Davis, Texas A&M University, USA; Darko Stosic, NVIDIA, USA

1:55-2:15 Sparse Communication Avoiding Pivoting and GPUsJonathan Hogg and Jennifer Scott,

Rutherford Appleton Laboratory, United Kingdom

2:20-2:40 Sparse QR Factorization on Heterogenous Platforms with Multiple GPUsMohamed Gadou, University of Florida,

USA; Timothy A. Davis, Texas A&M University, USA; Sanjay Ranka, University of Florida, USA

2:45-3:05 GLU: LU Re-Factorization on the GPUMaxim Naumov, Sharan Chetlur, and Lung

Sheng Chien, NVIDIA, USA



Monday, March 16

MS167

See Tuesday 4:25 PM

Monday, March 16

MS166Computational Science for Current Multidisciplinary Research Problems 1:30 PM-3:10 PMRoom:251 C


Everyday scientists conduct research in an effort to contribute to the vast array of scientific disciplines. More and more, computational science is being used as part of these efforts. This minisymposium will highlight the outstanding research being conducted using computational science, with applications encompassing several disciplines. Specifically, as part of the Workshop Celebrating Diversity, the session will highlight the work of female scientists.

Organizer: Talea MayoPrinceton University, USA

Organizer: Talea MayoPrinceton University, USA




1:30-1:50 Optimization of Computational Simulation Set for Quantification of Hurricane Surge Extreme-Value StatisticsJennifer L. Irish, Virginia Tech, USA

1:55-2:15 Mathematical Modeling of Gliomas: Implications for Interpreting Therapeutic Efficacy Through ImagingAndrea Hawkins-Daarud and Russell

Rockne, Northwestern University, USA; David Corwin, LaunchPad Lab, USA; Alexander R.A. Anderson, H. Lee Moffitt Cancer Center & Research Institute, USA; Paul Kinahan, University of Washington, USA; Kristin R. Swanson, Northwestern University, USA

2:20-2:40 Random Matrix Models for the Representation of Model Inadequacy: A Case Study in Chemical KineticsRebecca Morrison and Robert D. Moser,


2:45-3:05 Hurricane Storm Surge Risk Analysis for the US North Atlantic CoastTalea Mayo, and Ning Lin, Princeton

University, USA

2:20-2:40 Construction of Gaussian Surrogate Process Using Numerical and Modeling Error UncertaintyHossein Aghakhani and Abani K. Patra, State

University of New York, Buffalo, USA; Elaine Spiller, Marquette University, USA

2:45-3:05 Quantifying the Impact of Numerical Errors Along with Other Uncertainties on Probabilistic Hazard MappingElaine Spiller, Marquette University, USA;

Hossein Aghakhani, State University of New York, Buffalo, USA


2:20-2:40 Certified Reduced Basis Model Reduction for Maxwell’s EquationsMartin W. Hess and Peter Benner, Max

Planck Institute for Dynamics of Complex Systems, Germany

2:45-3:05 Parameter Estimation for Inverse ProblemsJustin Krueger, Virginia Tech, USA

Monday, March 16

MS169Parametric Model Reduction and Inverse Problems - Part IV of IV1:30 PM-3:10 PMRoom:251 F

For Part 3 see MS143 Optimization and nonlinear inverse problems require the evaluation of a nonlinear function for a slowly changing vector of parameters. If this function involves the solution of one or more partial differential equations, the computational cost may become intractable. An important way to reduce the computational cost is the use of reduced models for the function evaluation and its derivatives. Typically, one wants to maintain the parametric dependence of the problem in the reduced model. The presentations in this minisymposium consider both applications and the theoretical background of parametric model reduction and inverse problems as well as competing stochastic approaches and their links with model reduction.







1:30-1:50 Numerical Stability Issues in H_2 approximation MethodsZlatko Drmac, University of Zagreb, Croatia;

Christopher A. Beattie and Serkan Gugercin, Virginia Tech, USA

1:55-2:15 Stochastic Approach to Nonlinear Inversion Combining Simultaneous Random and Deterministic SourcesSelin Sariaydin, Eric De Sturler, and Serkan

Gugercin, Virginia Tech, USA; Misha E. Kilmer, Tufts University, USA

Monday, March 16

MS168Inverse Problems and Data Assimilation - Part I of VI1:30 PM-3:10 PMRoom:251 E

For Part 2 see MS194 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to:

1) deterministic and statistical approaches to inversion problems and data assimilation; 2) reduced order modeling inversion framework; 3) treatment of nonlinear and non-smooth processes; 4) sensitivity analysis and its application to adaptive (targeting) observation; 5) operational data assimilation systems; 6) uncertainties impact studies; 7) automatic tools to support inversion and data assimilation methodologies.Organizer: Razvan StefanescuVirginia Tech, USA


Organizer: Ionel M. NavonFlorida State University, USA

Organizer: Dacian N. DaescuPortland State University, USA

1:30-1:50 Nonlinear Model Order Reduction Using Pod/DEIM 4-D Var with Trust Region Applied to a Spherical Shallow Water Equations ModelIonel M. Navon, Florida State University,

USA; Fangxin Fang, Imperial College London, United Kingdom; Juan Du, Academia Sinica, China

1:55-2:15 Aposteriori Error Estimates and Adaptive Reduced Order Modeling Data AssimilationRazvan Stefanescu and Adrian Sandu, Virginia

Tech, USA

2:20-2:40 Interpolatory Model Reduction for Nonlinear InversionSerkan Gugercin, Virginia Tech, USA

2:45-3:05 Reduced Order Modelling for Fluid-Structure Interaction ProblemsFrancesco Ballarin, Politecnico di Milano,

Italy; Gianluigi Rozza, SISSA, International School for Advanced Studies, Trieste, Italy continued in next column


Monday, March 16

MS172Student Days: Undergraduate Sessions - Part II of II1:30 PM-3:10 PMRoom:254 C

For Part 1 see MS146 Sponsored by the SIAG Applied Mathematics Education

Undergraduate Research in Applied and Computational Mathematics.


1:30-1:41 Bounds on Electrical Fields in Two-Component Inhomogeneous BodiesZoe Koch, Michael Primrose, and Michael

Zhao, University of Utah, USA

1:46-1:57 Pymethyl: A Bioinformatic Approach to Methylation Patterns and their Epigenetic Effects on Risk of Breast CancerCody Watson, Wofford College, USA

2:02-2:13 Estimation of Unmodeled Gravitational Wave Transients: an Application of Spline Based Regression and Particle Swarm OptimizationCalvin Leung, Harvey Mudd College, USA

2:18-2:29 Modeling Bull Sperm Motility Using Image ProcessingLinan Zhang, Worcester Polytechnic

Institute, USA

2:34-2:45 Mean Squared Displacement and Mean First Passage Time in Fluids with MemoryMichael Senter, University of Utah, USA

2:50-3:01 Persistent Random Walk of Microorganisms in a Porous MediumGrace Lim, California State Polytechnic

University, Pomona, USA; Aden Forrow, Massachusetts Institute of Technology, USA

Monday, March 16

MS171Task-based Scientific Computing Applications - Part II of II1:30 PM-3:10 PMRoom:254 B

For Part 1 see MS145 The extreme complexity of hardware platforms makes them harder and harder to program. To fully exploit such machines, the High Performance Community often uses a MPI + X (X being pthreads, OpenMP, Cuda ...) programming models. In this minisymposium, we overview an alternative solution consisting of programming at a higher level of abstractions by descrbing a scientific computing application as a sequence of tasks. Taking care of the dependences between tasks, a runtime system then processes the different tasks on the available computational units.



1:30-1:50 Task Based Programming with Pycompss: Leveraging Python in Parallel PlatformsRosa M. Badia, Barcelona Supercomputing

Center, Spain

1:55-2:15 A Task-Based Computational Astronomy ApplicationHatem Ltaief, King Abdullah University of

Science & Technology (KAUST), Saudi Arabia

2:20-2:40 Coarse Grained Task-Based Parareal Parallel-In-Time Applications in Fusion EnergyWael R. Elwasif, Oak Ridge National

Laboratory, USA; Debasmita Samaddar, UK Atomic Energy Authority, United Kingdom

2:45-3:05 Applications at Airbus Group of a Task-Based H-Matrix SolverGuillaume Sylvand, Airbus Operation S.A.S.,

France; Benoit Lize, Airbus, United Kingdom

Monday, March 16

MS170Computational Methods and Uncertainty Quantification for Inverse Problems - Part II of II1:30 PM-3:10 PMRoom:254 A

For Part 1 see MS144 Inverse problems require estimating parameters in a mathematical model from indirect observations. The number of unknown parameters is typically large, and obtaining a meaningful estimate is often impossible without special techniques such as regularization. Moreover, even with regularization, the resulting computational problems are often very challenging. A separate issue is that the measurements are stochastic, prior information contains uncertainty, and hence the solutions of inverse problems contain uncertainty. In some inverse problems applications, quantifying uncertainty in solutions is essential. The talks in this minisymposium will focus on computational methods both for solving inverse problems and for quantifying uncertainty in solutions.

Organizer: Johnathan M. BardsleyUniversity of Montana, USA

Organizer: Aaron B. LuttmanNational Security Technologies, LLC, USA

1:30-1:50 Using Numerical Optimization Methods for Sampling in Inverse ProblemsJohnathan M. Bardsley, University of

Montana, USA

1:55-2:15 Point Spread Reconstruction from the Image of a Sharp Edge: Computation and Uncertainty QuantificationKevin Joyce and Johnathan M. Bardsley,

University of Montana, USA; Aaron B. Luttman, National Security Technologies, LLC, USA; Peter Golubstov, Moscow State University, Russia

2:20-2:40 Constrained Iterative Solver for Sparse Unmixing and Deblurring of Hyperspectral ImagesSebastian Berisha, University of

Pennsylvania, USA; James G. Nagy, Emory University, USA; Robert Plemmons, Wake Forest University, USA

2:45-3:05 Statistical Tests for Total Variation Regularization Parameter SelectionJodi Mead, Boise State University, USA


Monday, March 16

MS175FASTMath Solver Technologies: Advances and Applications - Part II of II1:30 PM-3:10 PMRoom:258

For Part 1 see MS149 Efficient, scalable, and reliable algorithms for the solution of algebraic equations are crucial for the success of large-scale simulations. This minisymposium focuses on new developments in FASTMath solver algorithms and software, which include iterative and direct linear solution methods, nonlinear solvers, and eigensolvers, and their use in applications. We will describe efforts to increase the efficiency of algorithms and software, extensions of their usability to next generation computers, including heterogeneous architectures, mesh solver interactions as well as the impact of FASTMath solvers on large-scale multiphysics applications.

Organizer: Ulrike M. YangLawrence Livermore National Laboratory, USA

1:30-1:50 FASTMath Unstructured Mesh (MOAB) Solver (PETSc) InteractionsVijay Mahadevan, Iulian Grindeanu,

and Barry F. Smith, Argonne National Laboratory, USA

1:55-2:15 Application of Algebraic Multigrid (PETSc) for Block Structured Adaptive Mesh Refinement Applications (Chombo)Mark Adams, Lawrence Berkeley National

Laboratory, USA

2:20-2:40 Scalable Adaptive ImEx Integration with ARKode and HYPREDaniel R. Reynolds, Southern Methodist

University, USA

2:45-3:05 Solvers and Error Control for Atmospheric Column PhysicsJed Brown, Argonne National Laboratory,

USA and University of Colorado Boulder, USA

Monday, March 16

MS174Reduced-order Models for PDE-constrained Optimization Problems - Part II of II1:30 PM-3:10 PMRoom:150 DE

For Part 1 see MS148 Model reduction is an indispensable tool for simulation-based science, in problem tasks where multiple simulation requests or real-time simulation response by fast approximate models are desired. This minisymposium addresses the particular challenges of model reduction for optimization and optimal control, i.e. scenarios such as shape optimization, parameter optimization, multi-objective optimization, optimal control, feedback control or other PDE- constrained optimization problems. Such problems are relevant to many applications in science and engineering, such as fluid mechanics, solid mechanics, geophysics, electro-magnetics and acoustics.

Organizer: Andrea ManzoniÉcole Polytechnique Fédérale de Lausanne, Switzerland

Organizer: Bernard HaasdonkUniversity of Stuttgart, Germany

1:30-1:50 Reduced Order Models for Nonlinear PDE-Constrained Optimization Problems in Fluid DynamicsFederico Negri, Andrea Manzoni, and Alfio

Quarteroni, École Polytechnique Fédérale de Lausanne, Switzerland

1:55-2:15 Application of Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear Parametric SystemsHarbir Antil, George Mason University,

USA

2:20-2:40 Reduced Basis Method for Hamilton-Jacobi-Bellman EquationsSebastian Steck and Karsten Urban,

University of Ulm, Germany

2:45-3:05 HJB-POD Feedback Control for Advection-Diffusion EquationsAlessandro Alla and Michael Hinze,

University of Hamburg, Germany

Monday, March 16

MS173Hybrid and Multilevel Approaches to Kinetic Equations - Part II of IV1:30 PM-3:10 PMRoom:150 AB

For Part 1 see MS147 For Part 3 see MS199 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.






1:30-1:50 A Deterministic-Particle Transport Solver for Scale-Bridging Simulation of Thermal Radiative TransferHyeongkae Park, Los Alamos National

Laboratory, USA

1:55-2:15 Practical Numerical Methods for Solving the Boltzmann Transport Equation in Nuclear Reactor AnalysisRodolfo Ferrer, Studsvik Scandpower, Inc.,

USA

2:20-2:40 A Hierarchy of Hybrid Numerical Methods for Multi-Scale Kinetic EquationsThomas Rey, University of Lille, France;

Francis Filbet, University of Lyon 1, France

2:45-3:05 On a New Class of Semi-Lagrangian Schemes for Kinetic EquationsGiacomo Dimarco, Università degli Studi di

Ferrara, Italy


2:20-2:40 ScalFMM: A Generic Parallel Fast Multipole LibraryPierre Blanchard, Berenger Bramas, and

Olivier Coulaud, INRIA, France; Eric F. Darve, Stanford University, USA; Laurent Dupuy, CEA Saclay, France; Arnaud Etcheverry, INRIA, France; Guillaume Sylvand, Airbus Operation S.A.S., France

2:45-3:05 PVFMM: A Parallel Fast Multipole Method for Volume PotentialsDhairya Malhotra and George Biros,


Monday, March 16

MS177Software Components for Integral Equation Methods - Part II of IV1:30 PM-3:10 PMRoom:260 A

For Part 1 see MS151 For Part 3 see MS203 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.



1:30-1:50 ExaFMM -- a Testbed for Comparing Various Implementations of the FMMRio Yokota and David E. Keyes, King

Abdullah University of Science & Technology (KAUST), Saudi Arabia; Lorena A. Barba, George Washington University, USA

1:55-2:15 Robust Implementation of Quadrature by Expansion (QBX)Manas Rachh, Courant Institute of

Mathematical Sciences, New York University, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA; Michael O’Neil, New York University, USA; Andreas Kloeckner, University of Illinois, USA

Monday, March 16

MS176High-Order Methods for Computational Fluid Dynamics - Part IV of IV1:30 PM-3:10 PMRoom:259

For Part 3 see MS150 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.




1:30-1:50 Active Fluxes; A New High-Order ParadigmPhilip L. Roe, University of Michigan, USA

1:55-2:15 Superconvergent HDG Methods with Symmetric Stress Approximations for Stokes Flow (and Linear Elasticity)Bernardo Cockburn, University of

Minnesota, Minneapolis, USA; Guosheng Fu, University of Minnesota, USA

2:20-2:40 Riemann-Solver-Free Space Time Discontinuous Galerkin Method for General Conservation LawsShuang Z. Tu, Jackson State University, USA

2:45-3:05 Aerodynamic Simulations Using a High-Order Discontinuous Galerkin SolverMichael Brazell and Dimitri Mavriplis,

University of Wyoming, USA



Monday, March 16

MS180Novel Spectral Approximation: Theory, Algorithms and Applications - Part II of II1:30 PM-3:10 PMRoom:151 DE

For Part 1 see MS154 Spectral and high-order methods traditionally offer high-accuracy computational results in scientific computing. Yet, recent research focuses on very different and compelling advantages for applications. These include low dispersion for wave propagation problems, near-minimal degrees of freedom for oscillatory problems and great flexibility in dealing with complicated geometries. The goal of this minisymposium is to present an overview of such contemporary research topics. Methods of recent interest include Fourier extensions or continuations, radial basis functions and redundant frame discretizations. Challenges involve obtaining fast transforms and well-conditioned discretizations, or overcoming ill-conditioning in methods involving redundancy. The focus ranges from theory to applications.

Organizer: Daan HuybrechsKatholieke Universiteit Leuven, Belgium

1:30-1:50 Gaussian-Localized Polynomial Interpolation (Hermite Function Interpolation) on a Finite Interval: Are Spectrally-Accurate Rbfs Obsolete?John P. Boyd, University of Michigan, Ann

Arbor, USA

1:55-2:15 A Windowed Fourier Method for Computations on the SphereRodrigo B. Platte, Arizona State University,

USA

2:20-2:40 A Fast and Well-Conditioned Spectral MethodAlex Townsend, University of Oxford,

United Kingdom

2:45-3:05 Automatic Multivariate ApproximationTobin Driscoll, University of Delaware, USA

Monday, March 16

MS179Large-Scale Optimization and Applications1:30 PM-3:10 PMRoom:151 AB

We present recent advances in the solution and modeling of large-scale optimization problem from a broad range of applications including discrete design problems, compressed sensing approaches, and more general methods for nonconvex optimization with special emphasis on scalage approaches.

Organizer: Sven LeyfferArgonne National Laboratory, USA

1:30-1:50 Augmented Lagrangian Methods for Large-Scale Nonlinear OptimizationSven Leyffer, Argonne National Laboratory,

USA

1:55-2:15 Convexification Methods for Sequential Quadratic ProgrammingElizabeth Wong, University of California,

San Diego, USA

2:20-2:40 Primal-Dual Newton Conjugate Gradients for Compressed Sensing Problems with Coherent and Redundant DictionariesKimon Fountoulakis, University of

Edinburgh, United Kingdom

2:45-3:05 Column Generation Techniques for Large Mixed-Integer ProgramsFu Lin, Argonne National Laboratory, USA

Monday, March 16

MS178Recent Advances in a Posteriori Error Estimations and Adaptive Methods - Part II of II1:30 PM-3:10 PMRoom:260 B

For Part 1 see MS152 Self-adaptive numerical methods provide a powerful and automatic approach in scientific computing. In particular, Adaptive Mesh Refinement (AMR) algorithms have been widely used in computational science and engineering and have become a necessary tool in computer simulations of complex natural and engineering problems. The key ingredient for success of self-adaptive numerical methods is a posteriori error estimates that are able to accurately locate sources of global and local error in the current approximation. Talks in this minisymposium will cover some recent advances in the development and analysis of both a posteriori estimators and (convergent) adaptive schemes, as well as indicate directions of future research

Organizer: Zhiqiang CaiPurdue University, USA

Organizer: Shun ZhangCity University of Hong Kong, Hong Kong

1:30-1:50 A Posteriori Error Estimation in the Maximum Norm for Finite Element MethodsAlan Demlow, Texas A&M University, USA

1:55-2:15 A PDE Approach to Fractional Diffusion: a Posteriori Error AnalysisAbner J. Salgado, University of Tennessee,

USA

2:20-2:40 Robust Residual-Based a Posteriori Error Estimation for Interface Problems: Nonconforming ElementsCuiyu He and Zhiqiang Cai, Purdue


2:45-3:05 Robust a Priori and a Posteriori Error Estimates for Diffusion Problems with Discontinuous CoefficientsShun Zhang, City University of Hong Kong,

Hong Kong


Multiple Solutions in Curved-Pipe FlowHarsh Ranjan, Indian Institute of

Technology Guwahati, India

Cooperation and Efficiency in Sperm Motility PatternsOwen Richfield, Paul Cripe, and Julie

Simons, Tulane University, USA

Efficient Simulation of Fluid-Structure Interactions Modeled by Regularized Stokes Formulation Using Kernel-Independent Fast Multipole MethodMinghao W. Rostami and Sarah D. Olson,

Worcester Polytechnic Institute, USA

Scalable Parallel Solvers for Highly Heterogeneous Nonlinear Stokes Flow Discretized with Adaptive High-Order Finite ElementJohann Rudi and Toby Isaac, University

of Texas at Austin, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Michael Gurnis, California Institute of Technology, USA; Omar Ghattas, University of Texas at Austin, USA

Discrete Adjoint Openfoam and ApplicationsArindam Sen, Markus Towara, and Uwe

Naumann, RWTH Aachen University, Germany

Strategy for Efficiently Simulating Reactive Flows with Large Detailed Chemical KineticsHiroshi Terashima, University of Tokyo,

Japan; Youhi Morii, Japan Aerospace Exploration Agency, Japan; Mitsuo Koshi, Yokohama National University, Japan

Improving the Method of Regularized StokesletsTerese Thompson, Karin Leiderman, and

Hoang-Ngan Nguyen, University of California, Merced, USA

An Exact and Consistent Adjoint Method for High-Fidelity Unsteady Compressible Flow SimulationsRamanathan Vishnampet, Daniel J. Bodony,

and Jonathan B. Freund, University of Illinois at Urbana-Champaign, USA

Periodic Stokes Flow in 2 Dimensional SpaceLin Zhao, Dartmouth College, USA; Alex H.

Barnett, Dartmouth College and Simons Foundation, USA

Monday, March 16

Poster Blitz3:10 PM-4:30 PMRoom:355

Monday Poster Session & ReceptionPP9Computational Fluid Dynamics4:30 PM-6:30 PMRoom:255

A Synchronized Co-Volume Scheme for the Large-Scale Shallow Water EquationsQingshan Chen, Clemson University, USA

Physics-Based Preconditioning and Dual Timestepping for Stiff Combustion Problems with Detailed Chemical MechanismsMichael A. Hansen, University of Utah, USA

Rods with Bend and Twist in a Brinkman FluidNguyenho Ho and Sarah D. Olson, Worcester


Discrete Exterior Calculus Solution of Incompressible FlowsMamdouh S. Mohamed and Sudantha

Balage, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Anil Hirani, University of Illinois at Urbana-Champaign, USA; Ravi Samtaney, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

Adaptive Wavelet Simulation for Weakly Compressible Flow Bounded by Solid Walls of Arbitrary ShapeNaoya Okamoto, Nagoya University, Japan;

Margarete Domingues, Instituto Nacional de Pesquisa Espaciais, Brazil; Katsunori Yoshimatsu, Nagoya University, Japan; Kai Schneider, Aix-Marseille Université, France

Monday, March 16

MS181Large Scale Computing in the Geosciences - Part II of II1:30 PM-3:10 PMRoom:151 G

For Part 1 see MS155 Advances in scientific computing (new algorithms, open-source software, high performance computing) have made it possible to solve larger and larger problems. These advances are especially advantageous in the geosciences, where typical problems are time-dependent and three-dimensional with little or no symmetry and with important dynamics at multiple scales. Geoscientists are increasingly relying on cutting-edge software and algorithms to advance the understanding of planet Earth. This minisymposium brings together geophysicists, mathematicians, and computer scientists to discuss the latest developments at the intersection of these fields.

Organizer: Sander RhebergenUniversity of Oxford, United Kingdom

Organizer: Andrew J. WathenUniversity of Oxford, United Kingdom

Organizer: Richard F. KatzUniversity of Oxford, United Kingdom

1:30-1:50 Multi-Scale Modelling of Granular AvalanchesAnthony R. Thornton, University of Twente,

Netherlands

1:55-2:15 Scalable Nonlinear Solvers for Magma DynamicsMatthew G. Knepley, University of Chicago,

USA; Richard F. Katz, University of Oxford, United Kingdom

2:20-2:40 A Generic Nonlinear Solver for Geophysical InversionsMichele De Stefano, Federico Golfré

Andreasi, and Alberto Secchi, Schlumberger Geosolutions, Italy

2:45-3:05 Recent Advances in Numerical Modelling of Thermo-Chemically Coupled Two-Phase FlowTobias Keller, University of Oxford, United

Kingdom



Monday, March 16

PP11Linear Algebra and Data Analysis4:30 PM-6:30 PMRoom:255

Using Non-Authoritative Crowdsourced Data to Augment Remote Sensing Data for the Fukushima Diachii Nuclear IncidentMark Coletti and Guido Cervone,

Pennsylvania State University, USA; Rebecca Goolsby, Office of Naval Research, USA

The Sparse Grid Combination Technique for Solving Eigenvalue ProblemsChristoph Kowitz, Technische Universität

München, Germany; Markus Hegland, Australian National University, Canberra, Australia; Hans-Joachim Bungartz, Technische Universität München, Germany

A Tangential Interpolation Framework for MIMO Eigensystem Realization AlgorithmBoris Kramer and Serkan Gugercin, Virginia

Tech, USA

Multi-Set Data Analysis and Simultaneous Matrix Block Diagonalization: Models and AlgorithmsDana Lahat and Christian Jutten, Gipsa-Lab,

France

Overcoming the Gibbs Phenomenon: Fast Fourier ExtensionRoel Matthysen, Katholieke Universiteit

Leuven, Belgium

Big Graph Analytics of Human Connectome NetworksJürgen Ommen, Chih Lai, and Yulin Yang,

University of St. Thomas, USA

Componentwise Sensitivity of Matrix Functions and ApplicationsSamuel Relton, University of Manchester,

United Kingdom

Domain MethodYoshiharu Ohi, RIKEN, Japan; Yoshihisa

Fujita, Nagoya University, Japan; Taku Itoh and Soichiro Ikuno, Tokyo University of Technology, Japan

Asymptotics of High-Frequency Scattering ProblemsPeter Opsomer and Daan Huybrechs,

Katholieke Universiteit Leuven, Belgium

Accurate Derivative Computation for Finite Element CodesLee F. Ricketson, Courant Institute of

Mathematical Sciences, New York University, USA; Antoine Cerfon, New York University, USA; Manas Rachh, Courant Institute of Mathematical Sciences, New York University, USA

Comparison of Weak Galerkin Finite Element Method with Dgfem and MfemFarrah Sadre-Marandi, Colorado State

University, USA

A Weighted Sequential Splitting Method for the 3D Maxwell’s EquationsPuttha Sakkaplangkul, Oregon State

University, USA

A Numerical Solution to Boundary Value Problem and Volterra Integral Equations ( Linear and NonLinear)Hamid Semiyari, James Madison University,

USA

Adaptive Multigrid Methods for An Integrated Structural Health Monitoring (SHM) Systems for Composite Material with Fluid-Structure Interaction (FSI) EffectBhuiyan Shameem M. Ebna Hai and Markus

Bause, Helmut-Schmidt-Universitaet Hamburg, Germany

Asymptotically Compatible Schemes for Robust Discretization of Nonlocal ModelsQiang Du and Xiaochuan Tian, Columbia

University, USA

An Adaptive Multiscale Method for Numerical HomogenizationJack Urombo, Harare Institute of

Technology, Zimbabwe

Monday, March 16

PP10Numerical PDEs4:30 PM-6:30 PMRoom:255

Etd Spectral Deferred Correction MethodsTommaso Buvoli, University of Washington,

USA

Reducing the Impact of the Cfl Condition for Dispersive Wave Propagation ProblemsAllan P. Engsig-Karup, Technical University

of Denmark, Denmark; Claes Eskilsson, Chalmers University of Technology, Sweden

Spectre: An Adaptive, Parallel Discontinuous Galerkin Based Code for Relativistic AstrophysicsScott Field and Lawrence Kidder, Cornell

University, USA; Jonas Lippuner and Mark Scheel, California Institute of Technology, USA; Saul Teukolsky, Cornell University, USA

Explicit Strong Strong Stability Preserving Multi Step Runge-Kutta MethodsZachary J. Grant, University of

Massachusetts, Dartmouth, USA

Robust Residual-Based A Posteriori Error Estimate for Interface Problems: Nonconforming Linear ElementsCuiyu He and Zhiqiang Cai, Purdue


Monolithic Multi-Time-Step Coupling Methods for First and Second-Order Transient SystemsSaeid Karimi and Kalyana Nakshatrala,

University of Houston, USA

Total Order Function Space Spectral Collocation Methods Using the Padua PointsScott Moe, University of Washington, USA

Numerical Investigation of Influence of Node Alignment on Stable Calculation for Meshless Time



Monday, March 16

PP13Statistical Methods and Uncertainty Quantification4:30 PM-6:30 PMRoom:255

Decomposition-Based Uncertainty Quantification with Application to Environmental Impacts of AviationSergio Amaral, Massachusetts Institute of

Technology, USA

The Combined Block by Block - Monte Carlo Methods for Numerical Treatment of the Mixed Nonlinear Stochastic Integral EquationAbdallah A. Badr, University of Business

and Technology, Jeddah, Saudi Arabia

Computational Investigation of Quasi-Random Sequences for Error EstimationHongmei Chi, Florida A & M University,

USA

Optimal Source Encoding in Medium Parameter Reconstruction ProblemsBenjamin Crestel and Omar Ghattas,

University of Texas at Austin, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA

Randomized Likelihood Method: A Scalable Approach to Big Data in Large-Scale Pde-Constrained Bayesian Inverse ProblemsAaron Myers, Tan Bui-Thanh, and Ellen Le,


MUQ (MIT Uncertainty Quantification): Flexible Software for Connecting Algorithms and ApplicationsMatthew Parno, Patrick R. Conrad,

Andrew Davis, and Youssef M. Marzouk, Massachusetts Institute of Technology, USA

A Stochastic Dynamic Programming Method for Controlling a Combined Hydro/Wind Power ProducerKyle Perline, Cornell University, USA

Monday, March 16

PP12Biomedical Applications4:30 PM-6:30 PMRoom:255

The Modified Bidomain Model with Periodic Diffusive InclusionsAndjela Davidovic, INRIA Bordeaux Sud-

Ouest, France; Yves Coudiere, Université Bordeaux I, France; Clair Poignard, INRIA Bordeaux Sud-Ouest, France

Simulation-Based Solute Transport in Kidney CellsMonica Nadal-Quiros and Aniel Nieves-

Gonzalez, University of Puerto Rico, Puerto Rico; Leon Moore, State University of New York Health Science Center at Brooklyn, USA; Mariano Marcano, University of Puerto Rico, Puerto Rico

Magnetic Nanoparticle Stochastic Dynamics for Biomedical ApplicationsDaniel B. Reeves and John Weaver,

Dartmouth College, USA

An Adaptive Markov Chain Monte Carlo Method Applied to Simulation of a Tumor Growth ModelQing Wang and Zhijun Wang, Shepherd

University, USA; David Klinke, West Virginia University, USA

“Allostery”: A Python Package for Network Analyses of Biomolecular SimulationsYuhang Wang and Emad Tajkhorshid,


Numerical Simulation of a Tumor Cell Population Growth Dynamics Model Using Genetic AlgorithmZhijun Wang and Qing Wang, Shepherd

University, USA

Numerical Methods for Protein Adsorption in Porous MembranesAnastasia B. Wilson, Clemson University,

USA

Modeling Core Body Temperature during ExerciseYeonjoo Yoo, Indiana University - Purdue

University Indianapolis, USA

Ensemble Kalman Filters for Dynamic Dipole Estimation from MagnetoencephalographyLijun Yu, Daniela Calvetti, and Erkki

Somersalo, Case Western Reserve University, USA

Inducing Approximately Optimal Flow Via Truthful MediatorsRyan M. Rogers and Aaron Roth, University

of Pennsylvania, USA; Jonathan Ullman, Columbia University, USA; Steven Wu, University of Pennsylvania, USA

Security in Data Mining Through Cloud Computing Using Expert SystemAna Sadeghitohidi and Azadeh Roozbehi,

Azad Tehran University, Iran

Big Data Analytics Application in Genomics Data ProcessingS Srinivasan, Hector Miranda, Daniel

Vrinceanu, and Terence Vaughn, Texas Southern University, USA

Generalized Low Rank ModelsMadeleine R. Udell, Corinne Horn, Reza

Zadeh, and Stephen Boyd, Stanford University, USA

A Structured Cholesky Factorization for Fock Matrix ConstructionJoseph Vokt and Edmond Chow, Georgia


Parallel Bayesian Global Optimization, With Application To Metrics Optimization at YelpJialei Wang and Peter I. Frazier, Cornell

University, USA; Scott Clark and Eric Liu, Yelp Inc., USA



Monday, March 16

PP14CSE Methods4:30 PM-6:30 PMRoom:255

Visualising Protein Sequence AlignmentShaimaa M. Aljuhani, Al-Imam Muhammad

bin Saud University, Saudi Arabia; Prof. Teresa Attwood, University of Manchester, United Kingdom; Dr. Tony Shardlow, University of Bath, United Kingdom

Reconstructing Physically Realistic Flow Fields from Sparse Experimental DataIliass Azijli, Richard Dwight, Jan Schneiders,

and Hester Bijl, Delft University of Technology, Netherlands

Parallel-in-Time Integration with Pfasst++Torbjörn Klatt and Robert Speck, Jülich

Supercomputing Centre, Germany; Mathias Winkel and Daniel Ruprecht, Universita’ della Svizzera Italiana, Italy; Matthew Emmett, Lawrence Berkeley National Laboratory, USA

An Optimization-Based Approach Toward Elastoplasticity: Introducing a Projected Newton AlgorithmZahra S. Lotfian and Mettupalayam

Sivaselvan, State University of New York at Buffalo, USA

Redesigning Laser-Plasma Simulations to Optimize the Use of Limited Memory BandwidthEileen R. Martin, Stanford University,

USA; Steve Langer, Lawrence Livermore National Laboratory, USA

Parallel Numerics for Partitioned Multiphysics CouplingMiriam Mehl, Universität Stuttgart,

Germany; Benjamin Uekermann, Technische Universität München, Germany; Florian Lindner, Universität Stuttgart, Germany

Applied Math and Cs R&D on Doe Leadership Computing FacilitiesPaul C. Messina, Argonne National

Laboratory, USA

Optimization of Modeled Land Surface Fluxes by Bayesian Parameter CalibrationTony E. Wong, David Noone, and William

Kleiber, University of Colorado Boulder, USA

Monte Carlo Sampling of the Aggregation of Lattice Biopolymers in MembraneYuanwei Xu and Mark Rodger, University of

Warwick, United Kingdom

Monday, March 16

PP13Statistical Methods and Uncertainty Quantification4:30 PM-6:30 PMcontinued

Efficient Error Estimation for Elliptic PDEs with Random DataCatherine Powell, University of Manchester,

United Kingdom; Alex Bespalov, University of Birmingham, United Kingdom; David Silvester, University of Manchester, United Kingdom

Inference of Constitutive Parameters in a Nonlinear Stokes Mantle Flow ModelVishagan Ratnaswamy, California Institute

of Technology, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Michael Gurnis, California Institute of Technology, USA; Omar Ghattas, University of Texas at Austin, USA

Uncertainty Quantification for Thermally Driven FlowSebastian Ullmann and Lang Jens, TU

Darmstadt, Germany

Computational and Statistical Tradeoffs: a FrameworkAlexander Volfovsky, Edoardo Airoldi, and

Daniel Sussman, Harvard University, USA

Efficiency of the Girsanov Transformation Approach for Parametric Sensitivity Analysis of Stochastic Chemical KineticsTing Wang and Muruhan Rathinam,


Convergence of the Robbins-Monro Algorithm in Infinite Dimensional Hilbert SpacesDaniel Watkins and Gideon Simpson, Drexel

University, USA

Utilizing Adjoint-Based Techniques to Effectively Perform Uq on Discontinuous ResponsesTim Wildey, Eric C. Cyr, and John Shadid,




Monday, March 16

PP15CSE Applications4:30 PM-6:30 PMRoom:255

Using Radar Imagery Data to Invert for Maritime EnvironmentsVasileios Fountoulakis and Christopher J.

Earls, Cornell University, USA

Thermal Imaging of Sub-Pixel Cracks Through Metal PlatesAndrew Loeb and Christopher Earls, Cornell

University, USA

Numerical Simulation of Ni Grain Growth in a Thermal GradientJohn A. Mitchell and Veena Tikare, Sandia


Supply Chain DisruptionsThomas Morrisey and Ravi Prasad, Infosys,

USA

Computational and Experimental Analysis of Dental Implants under Different Loading Conditions and LocationsEmre Ozyilmaz, Eda Ozyilmaz, and Halil

Aykul, Hitit University, Turkey; Mehmet Dalkiz, Mustafa Kemal University, Turkey; Ahmet Cini, Hitit University, Turkey

Math Projects with Tracker Video AnalysisEuguenia Peterson, Richard J. Daley

College, USA

Investigation of Numerical Models for New High Temperature SuperconductorsChad Sockwell, Florida State University,

USA

Characterization of Ternary Eutectic Solidification Patterns from Phase-Field Simulations and Experimental MicrographsPhilipp Steinmetz, Karlsruhe Institute of

Technology, Germany; Johannes Hötzer, Hochschule Karlsruhe Technik und Wirtschaft, Germany; Marcus Jainta and Britta Nestler, Karlsruhe Institute of Technology, Germany; Yuksel Yabansu and Surya Kalidindi, Georgia Institute of Technology, USA

Analyzing and Classifying “Two-Cycles” of Trigonometric Functions in Newton’s MethodMorgan Rupard and Jennifer Switkes,

California Polytechnic State University, Pomona, USA

Orbital Localization in MadnessBryan E. Sundahl, Stony Brook University,

USA; Robert Harrison, Brookhaven National Laboratory, USA; Scott Thornton, Stony Brook University, USA

Assessing Artifacts: Segmentation of Damaged ImagesNick Takaki, Carnegie Mellon University,

USA

Analysis of Anderson Acceleration for Coupled Neutronic and Thermal Hydraulic Calculations in a Light Water ReactorAlexander R. Toth and C.T. Kelley, North

Carolina State University, USA; Stuart Slattery, Steven Hamilton, and Kevin Clarno, Oak Ridge National Laboratory, USA; Roger Pawlowski, Sandia National Laboratories, USA

The Rapid Optimization Library (rol) in TrilinosBart G. Van Bloemen Waanders, Drew P.

Kouri, and Denis Ridzal, Sandia National Laboratories, USA

Integrating Software Tools to Parallel Adaptive Simulations of Fusion Plasma in TokamaksFan Zhang, Mark S. Shephard, and E.

Seegyoung Seol, Rensselaer Polytechnic Institute, USA

Simple Yet Fast Integration Method Using Qss for Stiff Chemical Kinetic OdesYouhi Morii, Japan Aerospace Exploration

Agency, Japan; Hiroshi Terashima, University of Tokyo, Japan; Mitsuo Koshi, Yokohama National University, Japan; Taro Shimizu and Eiji Shima, Japan Aerospace Exploration Agency, Japan

PtychoLib: Parallel Ptychographic ReconstructionYoussef Nashed, David Vine, and Tom

Peterka, Argonne National Laboratory, USA; Junjing Deng, Northwestern University, USA; Rob Ross and Chris Jacobsen, Argonne National Laboratory, USA

Efficient Numerical Algorithm for Virtual Design in NanoplasmonicsAlexandra Ortan, University of Minnesota,

USA

Model-Reduction for Closed-Loop Control of Unsteady Flows Using Plasma ActuatorsLaura Pasquale, Paul Houston, and Pericle

Zanchetta, University of Nottingham, United Kingdom

Moving Pictures: Animating Still ImagesMichael Pilosov, University of Colorado,

Denver, USA

Bridging Multiple Structural Scales with a Generalized Finite Element MethodJulia A. Plews and C. Armando Duarte,


A Parallelization Strategy for Large-Scale Vibronic Coupling CalculationsScott Rabidoux, Victor Eijkhout, and John

Stanton, University of Texas at Austin, USA

Some Numerical Methods for Modified Bessel FunctionsJuri M. Rappoport, Russian Academy of

Sciences, Russia

Oof: An Object-Oriented Finite-Element Solver for Materials ScienceAndrew Reid and Stephen Langer, National

Institute of Standards and Technology, USA



Monday, March 16

PP202Minisymposterium -- Advanced Discretizations for Complex Applications4:30 PM-6:30 PMRoom:255

Organizers: Gianmarco Manzini, Los Alamos National Laboratory, USA

Konstantin Lipnikov, Los Alamos National Laboratory, USA

Compatible Discrete Operator Schemes for Advection-Diffusion EquationsPierre Cantin and Alexandre Ern, Université

Paris-Est, France; Jérome Bonelle, EDF, France

Upwinding in the Mimetic Finite Difference Method for Richards’ EquationKonstantin Lipnikov, Los Alamos National

Laboratory, USA

The Virtual Element MethodGianmarco Manzini, Los Alamos National

Laboratory, USA

Virtual Element Methods for Convection-Diffusion ProblemsOliver Sutton and Andrea Cangiani,

University of Leicester, United Kingdom; Gianmarco Manzini, Los Alamos National Laboratory, USA; Alessandro Russo, Milano University, Italy

Monday, March 16

PP201Minisymposterium -- A Mathematical Environment for Quantifying Uncertainty: Integrated and Optimized at the eXtreme scale (EQUINOX)4:30 PM-6:30 PMRoom:255

Organizer: Clayton G. Webster, Oak Ridge National Laboratory, USA

Forward Backward Doubly Stochastic Differential Equations and Applications to The Optimal Filtering ProblemFeng Bao, Oak Ridge National Laboratory,

USA; Yanzhao Cao, Auburn University, USA; Clayton G. Webster and Guannan Zhang, Oak Ridge National Laboratory, USA

Embedded Sampling-Based Uncertainty Quantification Approaches for Emerging Computer ArchitecturesEric Phipps, Marta D’Elia, H. Carter

Edwards, Jonathan J. Hu, and Siva Rajamanickam, Sandia National Laboratories, USA

A Unified Framework for Uncertainty and Sensitivity Analysis of Computational Models with Many Input ParametersLi Gu and C. F. Jeff Wu, Georgia Institute of

Technology, USA

Florida State University Efforts Withing the Equinox ProjectMax Gunzburger, Florida State University,

USA

A Mathematical Environment for Quantifying Uncertainty: Integrated and Optimized at the EXtreme Scale (equinox)Clayton G. Webster, Oak Ridge National

Laboratory, USA

Hierarchical Acceleration of Multilevel Methods for Pdes with Random Input DataGuannan Zhang, Oak Ridge National

Laboratory, USA

Monday, March 16

PP15CSE Applications4:30 PM-6:30 PMcontinued

Numerical Realization of An Open Pit Mine Planning ProblemNikolai Strogies and Andreas Griewank,

Humboldt University Berlin, Germany

Multidisciplinary Development of An Autonomous Underwater Vehicle: Cooperative Fleet for Surveillance MissionCi Wen, Stacey Joseph-Ellison, Junzhen

Shao, Qi Zhou, Jonathan Jaworski, and Zakaria Daud, Embry-Riddle Aeronautical University, USA

Towards Real-Time Blob-Filaments Detection in Fusion PlasmaLingfei Wu, College of William & Mary,

USA; Kesheng Wu and Alex Sim, Lawrence Berkeley National Laboratory, USA; Andreas Stathopoulos, College of William & Mary, USA


Composability in PetscMatthew G. Knepley, University of Chicago,

USA; Jed Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA

FenicsAnders Logg, Chalmers University of

Technology, Sweden

Sigma: Scalable Interface for Geometry and Mesh Based ApplicationsVijay Mahadevan, Iulian Grindeanu, Rajeev

Jain, Navamita Ray, and Danqing Wu, Argonne National Laboratory, USA; Paul Wilson, University of Wisconsin, Madison, USA

Dune - The Distributed and Unified Numerics EnvironmentSteffen Müthing, Heidelberg University,

Germany

ElementalJack L. Poulson, Stanford University, USA

Jupyter Widgets: Interactive Computing Through the Browser in Any Programming LanguageMin Ragan-Kelley and Fernando Perez,


Camellia: A Software Framework for Discontinuous Petrov-Galerkin MethodsNathan Roberts, Argonne National

Laboratory, USA

ViennaCL - Fast Linear Algebra for Multi and Many-Core ArchitecturesKarl Rupp, Philippe Tillet, Toby St Clere

Smithe, Namik Karovic, Josef Weinbub, and Florian Rudolf, Vienna University of Technology, Austria

Monday, March 16

PP204Minisymposterium -- CSE Software4:30 PM-6:30 PMRoom:255

Organizers: Anders Logg, Chalmers University of Technology, Sweden

ChebfunAnthony Austin, University of Oxford,

United Kingdom

Feel++: A Versatile High Performance Finite Element Embedded Library into C++Vincent Chabannes, Université de Grenoble

I, France

Dolfin-AdjointSimon W. Funke and Marie E. Rognes,

Simula Research Laboratory, Norway; Patrick E. Farrell, University of Oxford, United Kingdom; David Ham, Imperial College London, United Kingdom

Building Performance Transportable Codes for Extreme ScaleWilliam D. Gropp, University of Illinois at

Urbana-Champaign, USA

Firedrake: Automating Finite Element by Composing AbstractionsDavid Ham, Florian Rathgeber, Lawrence

Mitchell, Michael Lange, Andrew McRae, Gheorghe-Teodor Bercea, Fabio Luporini, and Paul Kelly, Imperial College London, United Kingdom

The DEAL.II Finite Element LibraryTimo Heister, Clemson University, USA;

Wolfgang Bangerth, Texas A&M University, USA; Guido Kanschat and Matthias Maier, Universität Heidelberg, Germany

An Overview of the Trilinos ProjectMichael Heroux, Sandia National

Laboratories, USA

FEniCS High Performance Computing with Applications in Aerodynamics, Environmental Science and BiomedicineJohan Hoffman, Royal Institute of

Technology, Stockholm, Sweden

EMatter: A Materials Simulation Framework As a ServiceDmitry A. Karpeyev, University of Chicago,

USA

Monday, March 16

PP203Minisymposterium -- Advances in Numerical Methods for Interface Problems4:30 PM-6:30 PMRoom:255

Organizers; Pavel Bochev, Sandia National Laboratories, USA

Christopher Siefert, Sandia National Laboratories, USA

Optimal Control for Mass Conservative Level Set MethodsChristopher Basting and Dmitri Kuzmin,

Technische Universität Dortmund, Germany

A New Partitioned Algorithm for Explicit Elastodynamics Based on Variational Flux RecoveryPavel Bochev and Paul Kuberry, Sandia


Analysis of a Fluid-Structure Interaction Problem Decoupled by Optimal ControlPaul A. Kuberry and Hyesuk Lee, Clemson

University, USA

Feature-Preserving Finite Element Transport Across Interfaces: Part 1, Optimization-Based TransportDenis Ridzal, Kara Peterson, and Pavel

Bochev, Sandia National Laboratories, USA

Feature-Preserving Finite Element Transport Across Interfaces: Part 2, Direct Flux RecoveryKara Peterson, Pavel Bochev, and Denis

Ridzal, Sandia National Laboratories, USA

Higher Order Finite Element Methods for Interface ProblemsManuel A. Sanchez-Uribe, Brown University,

USA

Extended and Conformal Decomposition Finite Elements for 3D Compatible DiscretizationsChristopher Siefert, Richard Kramer,

Pavel Bochev, and Thomas Voth, Sandia National Laboratories, USA



Monday, March 16

PP207Minisymposterium -- Mixed Finite Element Methods4:30 PM-6:30 PMRoom:255

Organizer: Douglas N. Arnold, University of Minnesota, USA

The Periodic Table of the Finite ElementsDouglas N. Arnold, University of Minnesota,

USA; Anders Logg, Chalmers University of Technology, Sweden

Convolution-Translation and Bounded Cochain Projections for the Elasticity ComplexGerard Awanou, Northern Illinois

University, USA

What is a Good Linear Finite Element... On a Generic Polytope?Andrew Gillette, University of Arizona,

USA; Alexander Rand, CD-adapco, USA

Superconvergence of Nonconforming Fems Based Mixed FemsJun Hu, Peking University, China

Stokes Elements on Cubic Meshes Yielding Divergence-Free ApproximationsMichael J. Neilan and Duygu Sap,

University of Pittsburgh, USA

Weak Galerkin Finite Element MethodsJunping Wang, National Science Foundation,

USA; Chunmei Wang, Georgia Institute of Technology, USA; Xiu Ye, University of Arkansas at Little Rock, USA

Monday, March 16

PP206Minisymposterium -- Massively Parallel Multiphysics Simulations Within the Uintah Computational Framework4:30 PM-6:30 PMRoom:255

Organizer: James C. Sutherland, University of Utah, USA

Parallel Petascale Modeling of Transportation Accidents Involving High ExplosivesJacqueline Beckvermit, Andrew Bezdjian,

Todd Harman, John A. Schmidt, and Martin Berzins, University of Utah, USA; Chuck Wight, Weber State University, USA

Using Uintah:mpmice for High Resolution Urban Flow StudiesArash Nemati Hayati, Rob Stoll, Todd

Harman, and Eric Pardyjak, University of Utah, USA

Radiation Modeling Using Reverse Monte Carlo Ray Tracing Within the Uintah FrameworkAlan Humphrey, University of Utah, USA

Wasatch: A CPU/GPU-Ready Multiphysics Code Using a Domain Specific LanguageTony Saad, Abhishek Bagusetty, and James

C. Sutherland, University of Utah, USA

Applied Large Eddy Simulation: Validation and Uncertainty Quantification of Lab and Pilot-Scale, Oxy-Coal Boiler SimulationsJeremy Thornock and Wu Yuxin, University

of Utah, USA; Ben Isaac, University of Utah, USA & Université Libre de Bruxelles, Belgium; Sean Smith and Philip J. Smith, University of Utah, USA

Monday, March 16

PP205Minisymposterium -- High Performance Linear Algebra Operations on GPUs4:30 PM-6:30 PMRoom:255

Organizer: Luke Olson, University of Illinois at Urbana-Champaign, USA

Radical Optimization Techniques for Asynchronous Iterative Algorithms on GpusHartwig Anzt, University of Tennessee,

USA; Edmond Chow, Georgia Institute of Technology, USA; Jack J. Dongarra, University of Tennessee, Knoxville, USA

Experiences in Autotuning Linear Algebra Operations for Energy Minimization on GpusHartwig Anzt and Blake Haugen, University

of Tennessee, USA; Jakub Kurzak and Jack J. Dongarra, University of Tennessee, Knoxville, USA

CUSP: A Parallel Sparse Matrix Package for GpusSteven Dalton and Luke Olson, University of

Illinois at Urbana-Champaign, USA

Sparse Matrix-Matrix Multiplication on High-Throughput ArchitecturesLuke Olson and Steven Dalton, University of

Illinois at Urbana-Champaign, USA


Tuesday, March 17

MS182Featured Minisymposium: CSE Software10:00 AM-11:40 AMRoom:355 A

This featured minisymposium reflects recent progress with tools and techniques for developing, adapting, using, and testing CSE software. The first talk addresses an eco system of computational tools for increased efficiency and reliability of scientific workflows. The next talk presents a software framework in C++, MOOSE, which simplifies building advanced multiphysics models. Another talk explains how domain specific languages for PDEs in Python allow automatic generation of adjoint models in C++ with high performance. Finally, the recent Julia language is presented, which combines the expressiveness and convenience of MATLAB/Python with the speed of Fortran/C.

Organizer: Hans Petter LangtangenSimula Research Laboratory and University of Oslo, Norway

10:00-10:20 Moose: An Open Source Platform For Rapid Development of Multiphysics Simulation ToolsDerek R. Gaston, Cody Permann, David

Andrs, John Peterson, and Andrew Slaughter, Idaho National Laboratory, USA

10:25-10:45 Domain Specific Languages and Automated Code Generation: High Expressiveness and High PerformancePatrick E. Farrell, University of Oxford,

United Kingdom

10:50-11:10 Julia - a Fast New Language for Technical ComputingStephan Karpinski, Massachusetts Institute

of Technology, USA

11:15-11:35 Project Jupyter: a Language-Independent Architecture for Cse, from Interactive Computing to Reproducible PublicationsFernando Perez, University of California,

Berkeley, USA

Tuesday, March 17



IP7A Calculus for the Optimal Quantification of Uncertainties8:15 AM-9:00 AMRoom:355

Chair: Susan E. Minkoff, University of Texas at Dallas, USA

The past century has seen a steady increase in the need of estimating and predicting complex systems and making (possibly critical) decisions with limited information. With this purpose, this talk will describe the development of a form of calculus allowing for the (computational) manipulation of infinite dimensional information structures and its application to the optimal quantification of uncertainties in complex systems and the scientific computation of optimal statistical estimators/models. Specific examples will be discussed to illustrate how this form of calculus could also be used to facilitate/guide the process of scientific discovery.

Houman OwhadiCalifornia Institute of Technology, USA

Prize Award Ceremony9:00 AM-9:30 AMRoom:355


Monday, March 16

PP208Minisymposterium -- Newest Bayesian Approaches to Modeling Complex Systems4:30 PM-6:30 PMRoom:255

Organizers: Alberto Giovanni Busetto, University of California, Santa Barbara, USA

James Beck, California Institute of Technology, USA

Approximate Active Bayesian Inference of Nonlinear Dynamical SystemsAlberto Giovanni Busetto, University of

California, Santa Barbara, USA

Variational Reformulation of Bayesian Inverse ProblemsIlias Bilionis, Purdue University, USA;

Panagiotis Tsilifis, University of Southern California, USA; Nicholas Zabaras, Cornell University, USA

Bayesian Model Selection for Exploring Mechanisms Contributing to Differential SignalingPencho Yordanov and Joerg Stelling, ETH

Zürich, Switzerland


Tuesday, March 17

MS184First Principle Methods and Applications for Computational Materials Science and Chemistry - Part I of III10:00 AM-11:40 AMRoom:250 A

For Part 2 see MS209 First principle electronic structure calculations are among the most challenging and computationally demanding science and engineering problems. This minisymposium aims at presenting and discussing new numerical methods for achieving ever higher level of accuracy and efficiency in ground and excited density functional theory calculations, and their applications in computational materials science and chemistry. We propose to bring together physicists, chemists and materials scientists who are involved in improving the numerical development of widely known quantum chemistry and solid-state physics application software packages, with mathematicians and computer scientists who are focusing on advancing the required state-of-the-art mathematical algorithms and parallel implementation.

Organizer: Lin LinUniversity of California, Berkeley, USA

Organizer: Eric PolizziUniversity of Massachusetts, Amherst, USA

Organizer: Chao YangLawrence Berkeley National Laboratory, USA

10:00-10:20 Accurate All-Electron Electronic Structure Theory for Large SystemsVolker Blum, Duke University, USA

10:25-10:45 Enabling Large-Scale Hybrid Density Functional Theory CalculationsRobert A. DiStasio, Jr., Princeton University,

USA

10:50-11:10 A Model and Variance Reduction Method for Computing Statistical Outputs of Stochastic Partial Differential EquationsFerran Vidal-Codina, Cuong Nguyen, and

Jaime Peraire, Massachusetts Institute of Technology, USA; Michael B. Giles, University of Oxford, United Kingdom

11:15-11:35 Topology Optimization of a Permanent-Magnet Synchronous Machine under UncertaintiesRoland Pulch, University of Greifswald,

Germany; Piotr Putek, Bergische Universität Wuppertal, Germany

Tuesday, March 17

MS183Challenges in Optimization with Uncertainty and Noisy Data10:00 AM-11:40 AMRoom:355 D

In many practical applications of optimization, the objective function and constraints are not known precisely. This lack of knowledge may stem from noisy or inaccurate evaluations of the objective and constraints, or from uncertain parameters in the underlying models. A probabilistic approach to the latter yields problems of robust optimization, encompassing a variety of operators and risk measures. Yet the two cases are linked, in that evaluation of a probabilistic risk measure is itself subject to inevitable and often significant numerical errors. This minisymposium presents recent algorithmic developments for optimization, aimed at efficient and reliable solutions of problems with uncertainty.

Organizer: Florian AugustinMassachusetts Institute of Technology, USA


10:00-10:20 Bayesian Global Optimization of Expensive Functions with Low-Dimensional NoiseJing Xie, Cornell University, USA;

Sethuraman Sankaran, HeartFlow, Inc, USA; Abhay Ramachandra, University of California, San Diego, USA; Saleh Elmohamed, Cornell University, USA; Alison Marsden, University of California, San Diego, USA; Peter I. Frazier, Cornell University, USA

10:25-10:45 Modeling An Augmented Lagrangian for Improved Blackbox Constrained OptimizationRobert Gramacy, University of Chicago,

USA; Genetha Gray, Sandia National Laboratories, USA; Sebastien Le Digabel, École Polytechnique de Montréal, Canada; Herbert Lee, University of California, Santa Cruz, USA; Pritam Ranjan, Acadia University, Canada; Garth Wells, University of Cambridge, United Kingdom; Stefan Wild, Argonne National Laboratory, USA



10:50-11:10 Data and Uncertainties: Representation of High-Dimensional Dependencies Using Adaptive Sparse GridsDirk Pfluger and Fabian Franzelin, University

of Stuttgart, Germany

11:15-11:35 Numerical Solution of Elliptic Diffusion Problems on Random DomainsMichael Peters and Helmut Harbrecht,

Universität Basel, Switzerland

Tuesday, March 17

MS185High-dimensional Approximation and Integration: Analysis and Computation - Part V of V10:00 AM-11:40 AMRoom:250 B

For Part 4 see MS159 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and ”best-N-term” approximations.





10:00-10:20 Solving Optimal Feedback Control Problems for Partial Differential Equations Using Adaptive Sparse GridsJochen Garcke, University of Bonn,

Germany; Axel Kroner, RICAM, Austrian Academy of Sciences, Austria

10:25-10:45 Dimension-Independent, Likelihood-Informed Mcmc Sampling Algorithms for Bayesian Inverse ProblemsKody Law, King Abdullah University of

Science & Technology (KAUST), Saudi Arabia; Tiangang Cui and Youssef M. Marzouk, Massachusetts Institute of Technology, USA

10:50-11:10 Finite Elements for Large, Accurate Quantum Mechanical Materials Calculations: from Classical to Enriched to DiscontinuousJohn Pask, Lawrence Livermore National

Laboratory, USA

11:15-11:35 Enabling Large Scale LAPW DFT Calculations by a Scalable Iterative EigensolverDaniel Wortmann, Forschungszentrum

Jülich, Germany; Edoardo A. Di Napoli, Jülich Supercomputing Centre, Germany; Mario Berljafa, University of Manchester, United Kingdom



Tuesday, March 17

MS187Recent Advances in Model Reduction - Part I of V10:00 AM-11:40 AMRoom:250 D

For Part 2 see MS211 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high-dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.

Organizer: Kevin T. CarlbergSandia National Laboratories, USA

Organizer: Gianluigi RozzaSISSA, International School for Advanced Studies, Trieste, Italy

10:00-10:20 Recent Advances in Reduced Order Modelling in Computational Fluid Dynamics within EU-MORNET COST ActivitiesGianluigi Rozza and Giuseppe Pitton,

SISSA, International School for Advanced Studies, Trieste, Italy; Annalisa Quaini, University of Houston, USA

10:25-10:45 A Minimum-residual Mixed Reduced Basis Method: Exact Residual Certification and Simultaneous Finite-element Reduced-basis Adaptive RefinementMasayuki Yano, Massachusetts Institute of

Technology, USA

10:50-11:10 Reduced Basis Method for Uncertainty Quantification Problems: A Recent UpdatePeng Chen, ETH Zürich, Switzerland;

Gianluigi Rozza, SISSA, International School for Advanced Studies, Trieste, Italy

11:15-11:35 Accelerating the Solution of Inverse Problems Using Reduced-Order ModelsDavid Amsallem, Stanford University, USA

10:50-11:10 Incorporating Error Detection and Recovery into Hierarchically Semi-Separable Matrix OperationsBrian Austin, Alex Druinsky, Xiaoye Sherry

Li, Osni A. Marques, and Eric Roman, Lawrence Berkeley National Laboratory, USA

11:15-11:35 Controlling Numerical Error in Particle-In-Cell Simulations of Collisionless Dark MatterAndrew Myers, Brian Van Straalen, and

Colella Phillip, Lawrence Berkeley National Laboratory, USA

Tuesday, March 17

MS186Resilient, Extreme -scale Numerical Algorithms - Part I of II10:00 AM-11:40 AMRoom:250 C

For Part 2 see MS210 Computer architectures are undergoing fundamental changes that will require the rethinking and invention of numerical algorithms suitable for computing at extreme scales (over 100 PFlops). Numerical solver technologies are needed that favor computation over data motion, that expose much greater concurrency, and that are resilient to increasing soft and hard faults. This minisymposium will feature progress in the development of such algorithms by several projects funded by the DOE Resilient Extreme- Scale Solvers initiative. A breadth of topics will be addressed, including algebraic multigrid, methods for hyperbolic conservation laws, Particle- In-Cell algorithms, and stochastic methods for linear systems.

Organizer: John LoffeldLawrence Livermore National Laboratory, USA

Organizer: Andrew MyersLawrence Berkeley National Laboratory, USA

Organizer: Jeffrey A. HittingerLawrence Livermore National Laboratory, USA

10:00-10:20 Attaining High Arithmetic Intensity in Finite-volume Methods through High-order QuadraturesJohn Loffeld and Jeffrey A. Hittinger,


10:25-10:45 Parallel Spectral Element-Based Agglomeration Algebraic Multigrid for Porous Media FlowAndrew T. Barker, Lawrence Livermore

National Laboratory, USA; Delyan Kalchev, University of Colorado, USA; Panayot Vassilevski and Umberto E. Villa, Lawrence Livermore National Laboratory, USA



10:50-11:10 Stochastic Collocation Methods Via L1 MinimizationTao Zhou, Chinese Academy of Sciences,

China; Ling Guo, Shanghai Normal University, China; Dongbin Xiu, Purdue University, USA

11:15-11:35 A Sparse Multiresolution Regression Framework for Uncertainty QuantificationDaniele E. Schiavazzi, University of

California, San Diego, USA; Alireza Doostan, University of Colorado Boulder, USA; Gianluca Iaccarino, Stanford University, USA

Tuesday, March 17

MS189Sparse and Compressible Representations: Theory, Algorithms and Applications - Part I of III10:00 AM-11:40 AMRoom:250 F

For Part 2 see MS213 By focusing effort on identifying dominant terms of a function representation one can often accurately approximate the function from limited data. Sparsity detection also referred to as compressed sensing and l1-minimization is one approach that is extremely effective at identifying the dominant terms of a function expansion. Recently there have been many advances in l1-minimization including strategies for sampling, preconditioning and high-dimensional basis selection that attempt to maximize the accuracy of recovered signals whilst minimizing the number of signal samples. This minisymposium presents recent theoretical results, numerical methods and applications of sparse approximations, including but not limited to uncertainty quantification (UQ) and sensitivity analysis (SA).

Organizer: John D. JakemanSandia National Laboratories, USA


10:00-10:20 Sparse Polynomial Chaos Expansions for Time-Dependent ProblemsBruno Sudret and Chu Mai, ETH Zürich,

Switzerland

10:25-10:45 Adaptive Compressive Sensing Method for Uncertainty QuantificationXiu Yang, Pacific Northwest National

Laboratory, USA; Xiaoliang Wan, Louisiana State University, USA; Huan Lei and Guang Lin, Pacific Northwest National Laboratory, USA; George E. Karniadakis, Brown University, USA

Tuesday, March 17

MS188Advances in Time-stepping Methods - Part III of V10:00 AM-11:40 AMRoom:250 E






10:00-10:20 A New Look at Global Error Estimation in Differential EquationsEmil M. Constantinescu, Argonne National

Laboratory, USA

10:25-10:45 Reliable Adaptive Time Stepping for Systems of ODEs, DDEs and BVPsWayne Enright, University of Toronto,

Canada

10:50-11:10 High Order Semi-implicit Schemes for Evolutionary Non Linear Partial Differential Equations and ApplicationsSebastiano Boscarino, University of Catania,

Italy

11:15-11:35 On the Construction of Robust Additive Runge-Kutta MethodsInmaculada Higueras, Universidad Pública de

Navarra, Spaincontinued in next column


Tuesday, March 17

MS192The System Dynamics of Social and Health Processes using Quantitative Data Sciences Methods 10:00 AM-11:40 AMRoom:251 C


Recent years have witnessed an increasing interest in developing models for understanding imminent challenges in engineering and public health. In this minisymposium, the talks will highlight some of the issues encountered when trying to apply data-driven approaches to the real-time systems. The increasing availability of data from a variety of sources including social media provides the ability to model complex ecosystems enabling human decision-making. Models have the potential to facilitate more accurate assessment for such systems, and to provide a basis for more efficient and targeted approaches to treatment and scheduling, through an improved understanding of the mechanisms of action.

Organizer: Anuj MubayiArizona State University, USA




10:00-10:20 Analysis of Information Diffusion on Social NetworksDaniel Romero, University of Michigan, USA

10:25-10:45 The Collective Impact of Social Factors and Interventions on the Dynamics of Reported Narcotic-Related Criminal Cases in the Community Areas of ChicagoMaryam Khan, Arizona State University, USA

10:50-11:10 An Effective Community-based Approach to Mitigate Sybil Attacks in Online Social NetworksSatyajayant Misra, New Mexico State

University, USA

11:15-11:35 The Dynamics of Co-Evolution of Health Behaviors in College PopulationAnuj Mubayi, Arizona State University, USA

Tuesday, March 17

MS191Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part I of V10:00 AM-11:40 AMRoom:251 B

For Part 2 see MS215 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of-the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.

Organizer: Alireza DoostanUniversity of Colorado Boulder, USA

Organizer: Dongbin XiuUniversity of Utah, USA

10:00-10:20 Local Polynomial Chaos Methods for High Dimensional SPDEYi Chen, Purdue University, USA; John D.

Jakeman, Sandia National Laboratories, USA; Xueyu Zhu and Dongbin Xiu, University of Utah, USA

10:25-10:45 Uncertainty Propagation Using Infinite Mixture of Gaussian Processes and Variational Bayesian InferencePeng Chen and Nicholas Zabaras, Cornell

University, USA; Ilias Bilionis, Purdue University, USA

10:50-11:10 Title Not Available at Time of PublicationRaul F. Tempone, King Abdullah University

of Science & Technology (KAUST), Saudi Arabia

11:15-11:35 Multivariate Weighted Least-squares using Monte Carlo SamplesAkil Narayan, University of Massachusetts,

Dartmouth, USA

Tuesday, March 17

MS190The Use of Adjoints in Earth System Modeling/Sciences10:00 AM-11:40 AMRoom:251 A

Derivatives can be used in many contexts including optimization, sensitivity analysis, and uncertainty quantification. Earth system models frequently compute adjoints to study the estimate of sensitivity of model output with respect to input. Factors to be considered in adjoint computation include the accuracy of derivatives, the speed of computing them, and the ease with which they can be computed. This minisymposium will present talks showing examples of adjoint computation in earth system models as well as advances in their efficient computation.

Organizer: Sri Hari Krishn NarayananArgonne National Laboratory, USA

Organizer: Paul D. HovlandArgonne National Laboratory, USA

10:00-10:20 Improving the Efficiency of the Adjoint of Fixed-Point IterationsSri Hari Krishn Narayanan, Argonne

National Laboratory, USA; Daniel Goldberg, University of Edinburgh, United Kingdom; Paul D. Hovland, Argonne National Laboratory, USA

10:25-10:45 Development of a Time-Dependent Ice Flow Model Adjoint and Its ApplicationsDaniel Goldberg, University of Edinburgh,

United Kingdom; Patrick Heimbach, Massachusetts Institute of Technology, USA

10:50-11:10 Parallel 4D Variational Data AssimilationVishwas Hebbur Venkata Subba Rao and

Adrian Sandu, Virginia Tech, USA

11:15-11:35 An Adjoint Based Analysis of the Physical Drivers of Uncertainty in Air-Sea Exchange and Ocean Draw Down of Co2Chris Hill and Oliver Jahn, Massachusetts

Institute of Technology, USA; Jean Utke, Argonne National Laboratory, USA


Tuesday, March 17

MS194Inverse Problems and Data Assimilation - Part II of VI10:00 AM-11:40 AMRoom:251 E

For Part 1 see MS168 For Part 3 see MS218 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to:

1) deterministic and statistical approaches to inversion problems and data assimilation;

2) reduced order modeling inversion framework;

3) treatment of nonlinear and non-smooth processes;

4) sensitivity analysis and its application to adaptive (targeting) observation;

5) operational data assimilation systems;

6) uncertainties impact studies;

7) automatic tools to support inversion and data assimilation methodologies.

Organizer: Razvan StefanescuVirginia Tech, USA




10:00-10:20 Toward New Applications of the Adjoint Tools in 4D-Var Data AssimilationDacian N. Daescu, Portland State University,

USA; Ricardo Todling, NASA, USA; Rolf Langland, Naval Research Laboratory, USA; Austin Hudson, Portland State University, USA

10:25-10:45 Computing Exactly and Eficiently Arbitrarily-High-Order Response Sensitivities to Model ParametersDan G. Cacuci, University of South

Carolina, USA

10:50-11:10 Fluctuating Hydrodynamics of Suspensions of Rigid ParticlesAleksandar Donev, Courant Institute of


11:15-11:35 SPH Model for Landau-Lifshitz Navier-Stokes and Advection-Diffusion EquationsAlexander Tartakovsky, Pacific Northwest

National Laboratory, USA; Jannes Kordilla, University of Goettingen, Germany; Wenxiao Pan, Pacific Northwest National Laboratory, USA

Tuesday, March 17

MS193Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part I of III10:00 AM-11:40 AMRoom:251 D

For Part 2 see MS217 Computational modeling of multiphysical processes at the mesoscale is becoming increasingly important for applications in micro-/nano-technology, next-generation battery technology, material assembly and biological systems. In this minisymposium we address mathematical modeling along with numerical schemes that can effectively capture mesoscale multiphysics such as hydrodynamics, transport, electrostatics and chemical reaction. Desirable features of the numerical schemes include robustness, accuracy, scalability, as well as potential to cross scales as a multiscaling framework. The benchmark applications that we are interested in include mixing and separation processes in micro-/nano-channel, semi-permeable membranes, diffusive transport and electrochemical reaction in porous electrode, colloid and nanoparticle assembly, as well as macromolecular conformational change.

Organizer: Mauro PeregoSandia National Laboratories, USA

Organizer: Wenxiao PanPacific Northwest National Laboratory, USA

Organizer: Nathaniel TraskBrown University, USA

Organizer: Kyungjoo KimSandia National Laboratories, USA

10:00-10:20 A Nano Pore-Scale Model for the Nanostructured Cathode of Lithium-Oxygen BatteriesWenxiao Pan, Pacific Northwest National

Laboratory, USA

10:25-10:45 Boltzmann’s State of Motion: Phenomenological Modeling of Chemical and Ecological SystemsYian Ma and Hong Qian, University of

Washington, USA



Tuesday, March 17

MS196Numerical Methods for Multimaterial Flows with Deforming Boundaries - Part I of III10:00 AM-11:40 AMRoom:254 A

For Part 2 see MS220 Multimaterial flows with deforming boundaries appear in many applications involving biological flows, medicine, industry, and homeland security. As the number of applications grow, so too the amount of research into developing and improving existing numerical methods for deforming boundary problems in multi-material flows. In this minisymposium, novel numerical methods will be presented that address efficiency and accuracy in adaptive mesh refinement algorithms, scalability on high performance computing platforms, robust interface capturing methods, numerical methods for phase change (freezing, boiling, evaporation), and numerical methods for enforcing boundary conditions at deforming boundary interfaces.

Organizer: Mark SussmanFlorida State University, USA

Organizer: Frederic G. GibouUniversity of California, Santa Barbara, USA

Organizer: Feng XiaoTokyo Institute of Technology, Japan

10:00-10:20 High Resolution PDE Solvers on Octree Grids and Parallel ArchitecturesFrederic G. Gibou, University of California,

Santa Barbara, USA

10:25-10:45 Topological Change with a Cut Cell based Sharp Interface Method for Multi-phase FlowsXiao-Long Deng, Beijing Computational

Science Research Center, China

10:50-11:10 A Second Order Virtual Node Algorithm for Navier–Stokes Flow Problems with Interfacial Forces and Discontinuous Material PropertiesJoseph Teran, University of California, Los

Angeles, USA

11:15-11:35 On the Coupling of Far-Field Wind-Wave Simulation and Near-Field Free-Surface Flow SimulationAntoni E. Calderer, University of Minnesota,

USA; Xin Guo, University of California, Berkeley, USA; Fotis Sotiropoulos and Lian Shen, University of Minnesota, USA

Tuesday, March 17

MS195Uncertainty Quantification Methods for Power Grid Systems - Part I of II10:00 AM-11:40 AMRoom:251 F

For Part 2 see MS219 The properties of many operational and structural elements of power grid models are typically known to some degree of certainty. Examples include grid topology and state, including knowledge of what lines are down; model parameters, such as generator/load/line electrical and performance characteristics; and operational conditions, such as renewable generator and load levels. In this minisymposium we bring together modeling contributions for the treatment of these uncertainties, to improve the design and operation of power grids.

Organizer: Cosmin SaftaSandia National Laboratories, USA

Organizer: Ali PinarSandia National Laboratories, USA

Organizer: Jean-Paul WatsonSandia National Laboratories, USA

10:00-10:20 An Efficient Approach for Stochastic Optimization of Electricity Grid OperationsCosmin Safta, Habib N. Najm, Richard L.

Chen, Ali Pinar, and Jean-Paul Watson, Sandia National Laboratories, USA

10:25-10:45 Two-Stage Adaptive Robust Unit Commitment Using Scenarios Induced Uncertainty SetRichard L. Chen, Cosmin Safta, Jean-Paul

Watson, Habib N. Najm, and Ali Pinar, Sandia National Laboratories, USA

10:50-11:10 Data-Driven Model for Solar Irradiation Based on Satellite ObservationsIlias Bilionis, Purdue University, USA; Emil

M. Constantinescu and Mihai Anitescu, Argonne National Laboratory, USA

11:15-11:35 Economic Impacts of Wind Covariance Estimation on Power Grid OperationsCosmin G. Petra and Victor Zavala, Argonne

National Laboratory, USA; Elias Nino-Ruiz, Virginia Tech, USA; Mihai Anitescu, Argonne National Laboratory, USA

Tuesday, March 17

MS194Inverse Problems and Data Assimilation - Part II of VI10:00 AM-11:40 AMcontinued

10:50-11:10 Dealing with Nonsmoothness in Data AssimilationAndreas Griewank, Humboldt University

Berlin, Germany

11:15-11:35 Second Order Analysis in Variational Data AssimilationFrancois-Xavier L. Le-Dimet, Université

de Grenoble Alpes, France; M Yousuff Hussaini, Florida State University, USA; Ha Tran Thu, Vietnamese Academy of Science and Technology, Vietnam


Tuesday, March 17

MS199Hybrid and Multilevel Approaches to Kinetic Equations - Part III of IV10:00 AM-11:40 AMRoom:150 AB

For Part 2 see MS173 For Part 4 see MS223 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.



Organizer: Ryan McClarrenTexas A&M University, USA



10:00-10:20 A Moment Model for the Vlasov Fokker Planck EquationCharles K. Garrett and Cory Hauck, Oak

Ridge National Laboratory, USA

10:25-10:45 An Implcit, Conservative Vlasov-Darwin Pic Solver in Multiple DimensionsGuangye Chen and Luis Chacon, Los

Alamos National Laboratory, USA

10:50-11:10 Modeling Non-Ideal Plasmas: a Hyrbid Quantum Hydrodynamics and Molecular Dynamics ApproachMichael Murillo, Los Alamos National

Laboratory, USA

11:15-11:35 iFP: An Optimal, Fully Conservative, Fully Implicit, Vlasov-Fokker-Planck SolverWilliam T. Taitano, Luis Chacon, and

Andrei Simakov, Los Alamos National Laboratory, USA

Tuesday, March 17

MS198Student Days: Combining Disciplines, Techniques, Faculty and Students to Tackle Protein Folding10:00 AM-11:40 AMRoom:254 C

Consistently predicting protein structure is a grand challenge in biology. This symposium features speakers from an educational experiment that was conducted during the summer of 2014: nine students and three faculty representing different institutions and disciplines, spent 10 weeks under one roof discussing protein folding and learning about HPC. The WeFold project that brings together researchers worldwide to collaborate and compete at the CASP protein folding competition, served as the educational framework. The learning curve for the students was steep and the results impressive suggesting that this approach is an effective methodology to introduce students to computational sciences and HPC.

Organizer: Silvia N. CrivelliLawrence Berkeley National Laboratory, USA

10:00-10:20 WeFold: a Collaborative and Educational ExperimentSilvia N. Crivelli, Lawrence Berkeley

National Laboratory, USA; John Hatherill, Del Mar Community College, USA; Jesse Fox, Mountain View Community College, USA

10:25-10:45 Creating the Largest Decoys Database to Improve Scoring Functions Using Machine LearningRicardo Ferreira and Christopher Cook,

Mountain View Community College, USA

10:50-11:10 The Maintenance of the WeFold Gateway for CASP11Anthony Lopez, Del Mar Community

College, USA

11:15-11:35 Reducing the Data Complexity with Filtering and ClusteringRachel A. Davis, Drake University, USA;

Jennifer Ogden, Saint Mary’s College of California, USA; Rehan Raiyyani, University of California, San Diego, USA

Tuesday, March 17

MS197Parallel Computing for Partial Differential Equations on CPUs, GPUs, and Intel Phi - Part I of II10:00 AM-11:40 AMRoom:254 B

For Part 2 see MS221 Modern architectures including multi-core CPUs, massively parallel GPUs, and many-core accelerators such as the 60-core Intel Phi processor offer great opportunities for speeding up computations. They pose significant challenges due to the hybrid programming models and libraries that need to be used, ranging from distributed-memory computing with MPI, multi-threading with OpenMP, CUDA on GPUs, offloading to the Phi, for instance. This minisymposium will share experiences with parallel code and numerical algorithms from fundamental test problems over established benchmark codes to specialized research code. The minisymposium will start with an overview and contrast of the architectures and include the opportunity for the audience to discuss their own experiences.

Organizer: Matthias K. GobbertUniversity of Maryland, Baltimore County, USA


10:00-10:20 Overview and Contrast of Modern Computer Architectures Including the Intel PhiJonathan Graf, Samuel Khuvis, Xuan Huang,

and Matthias K. Gobbert, University of Maryland, Baltimore County, USA

10:25-10:45 The HPCG Benchmark Using Intel Phi AcceleratorsAdam Cunningham, Gerald Payton, and

Jack Slettebak, University of Maryland, Baltimore County, USA; Jordi Wolfson-Pou, University of California, Santa Cruz, USA

10:50-11:10 Offloading Computational Kernels in Long-Time Simulations to the Intel PhiSamuel Khuvis, Xuan Huang, Jonathan Graf,

and Matthias K. Gobbert, University of Maryland, Baltimore County, USA

11:15-11:35 Asynchronous Preconditioning on AcceleratorsEdmond Chow, Georgia Institute of

Technology, USA


10:50-11:10 Algebraic Multigrid Solvers for Lattice QCD in the Hypre Software LibraryEvan Berkowitz, Lawrence Livermore

National Laboratory, USA; James Brannick, Pennsylvania State University, USA; Robert Falgout and Chris Schroeder, Lawrence Livermore National Laboratory, USA

11:15-11:35 Block-Structured AMR: Applications Using BoxLibAnn S. Almgren, Lawrence Berkeley


Tuesday, March 17

MS201Deployment and Application of Technologies provided by the FASTMath Institute - Part I of II10:00 AM-11:40 AMRoom:258

For Part 2 see MS225 The FASTMath SciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena. These tools include structured and unstructured mesh techniques, linear and nonlinear solvers, eigensolvers and time integration methods. Research efforts are focused on developing a full range of accurate and robust technologies that support different application codes specifically those employed by the Department of Energy’s domain scientists. This minisymposium will place emphasis on application of FASTMath tools on SciDAC and related applications. Speakers will discuss the challenges in different application areas and the impact of the latest developments in FASTMath tools.

Organizer: Onkar SahniRensselaer Polytechnic Institute, USA

Organizer: Lori A. DiachinLawrence Livermore National Laboratory, USA

10:00-10:20 Gyrokinetic Poisson Equation Solvers with Explicit Flux Surface Averaging in XGC1 with PETScMark Adams, Lawrence Berkeley National

Laboratory, USA; Seung-Hoe Ku, Princeton Plasma Physics Laboratory, USA

10:25-10:45 Preconditioners for Implicit Atmospheric Climate Simulations in the Community Atmosphere ModelDavid J. Gardner, Lawrence Livermore

National Laboratory, USA; Katherine J. Evans, Oak Ridge National Laboratory, USA; Aaron Lott, D-Wave Systems, Inc., Canada; Andrew Salinger, Sandia National Laboratories, USA; Carol S. Woodward, Lawrence Livermore National Laboratory, USA

Tuesday, March 17

MS200Partitioning and Load Balancing in Scientific Applications10:00 AM-11:40 AMRoom:150 DE

The importance of partitioning and load balancing is growing with the emergence of computers with 100K+ cores. This minisymposium will address issues involved with partitioning and load balancing at extreme scale for scientific applications. These issues include partitioning for extreme core counts, for memory-constrained processors, and for complex objectives.

Organizer: Karen D. DevineSandia National Laboratories, USA

Organizer: Siva RajamanickamSandia National Laboratories, USA

Organizer: Brian Van StraalenLawrence Berkeley National Laboratory, USA

10:00-10:20 Unstructured Mesh Partitioning to over 500k PartsCameron Smith, Dan A. Ibanez, and Mark

S. Shephard, Rensselaer Polytechnic Institute, USA

10:25-10:45 Current Challenges in Mesh Partitioning for Physics SimulationsCédric Chevalier, CEA, France

10:50-11:10 The Zoltan2 Toolkit: Partitioning, Task Placement, Coloring, and OrderingKaren D. Devine, Erik G. Boman, Siva

Rajamanickam, and Lee Ann Riesen, Sandia National Laboratories, USA; Mehmet Deveci and Umit V. Catalyurek, The Ohio State University, USA

11:15-11:35 Zoltan2 for Extreme-Scale Data PartitioningMichael Wolf, Sandia National Laboratories,

USA



Tuesday, March 17

MS204Recent Advances in High Order Spatial Discretization Methods for PDEs - Part I of III10:00 AM-11:40 AMRoom:260 B

For Part 2 see MS228 Many complex physical phenomena can be modeled by partial differential equations and the numerical simulation of PDEs has been an active research area. This minisymposium aims to bring researchers together to discuss the numerical challenges when designing high order spatial discretization methods for time-dependent/static PDEs, with particular attention on weighted essentially non-oscillatory (WENO) methods and discontinuous Galerkin (DG) methods.

Organizer: Yuan LiuMichigan State University, USA

Organizer: Qi TangMichigan State University, USA

Organizer: Andrew J. ChristliebMichigan State University, USA

10:00-10:20 High Order WENO Method for Steady State ProblemsLiang Wu and Yongtao Zhang, University of

Notre Dame, USA; Shuhai Zhang, China Aerodynamics Research and Development Center, China; Chi-Wang Shu, Brown University, USA

10:25-10:45 A Hybrid Weno Reconstruction on Unstructured MeshYuan Liu, Michigan State University, USA

10:50-11:10 A New RKDG Method with Conservation Constraint to Improve CFL Condition for Solving Conservation LawsZhiliang Xu, University of Notre Dame,

USA

11:15-11:35 A High-Order Adaptive Finite Volume Solver for Steady Euler EquationsGuanghui Hu, University of Macau, China

Tuesday, March 17

MS203Software Components for Integral Equation Methods - Part III of IV10:00 AM-11:40 AMRoom:260 A

For Part 2 see MS177 For Part 4 see MS227 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.



10:00-10:20 Rank-Structured Preconditioners for Two and Three-Dimensional Integral and Differential EquationsSteffen Börm and Knut Reimer, Kiel

University, Germany

10:25-10:45 Practical and Efficient Direct Solvers for BIEsGunnar Martinsson, University of Colorado

Boulder, USA

10:50-11:10 Fast Solvers for Hierarchical MatricesAmirhossein Aminfar, Stanford University,

USA; Sivaram Ambikasaran, Courant Institute of Mathematical Sciences, New York University, USA; Mohammad Hadi Pour Ansari and Eric F. Darve, Stanford University, USA

11:15-11:35 A New Integral Formulation and Fast Direct Solver for Periodic Stokes’ FlowAdrianna Gillman, Rice University, USA;

Alex H. Barnett, Dartmouth College and Simons Foundation, USA; Shravan Veerapaneni and Gary Marple, University of Michigan, USA

Tuesday, March 17

MS202Advances in Multigrid Methods and Their Applications - Part I of II10:00 AM-11:40 AMRoom:259

For Part 2 see MS226 Multigrid is the most successful and generally-applicable scalable approach to solving problems with a hierarchy of scales in application areas such as elliptic PDEs, optimization, inversion, and image processing. Scalable methods are increasingly essential as hardware evolution and algorithmic advances enable the solution of larger scale problems in science and engineering applications. This session brings together researchers developing multigrid and related methods to assess the state of the art, recent theoretical advances, and novel applications.

Organizer: Zichao DiArgonne National Laboratory, USA

Organizer: Maria EmelianenkoGeorge Mason University, USA

Organizer: Jed BrownArgonne National Laboratory, USA and University of Colorado Boulder, USA

10:00-10:20 Optimization Approach for Tomographic Inversion from Multiple Data ModalitiesZichao Di, Sven Leyffer, and Stefan Wild,

Argonne National Laboratory, USA

10:25-10:45 Multigrid Preconditioning for Space-time Distributed Optimal Control Problems Constrained by Parabolic EquationsAndrei Draganescu and Mona Hajghassem,


10:50-11:10 Multigrid in ChaosQiqi Wang and Patrick Blonigan,


11:15-11:35 About Some Smoothers for Saddle-point ProblemsCarmen Rodrigo, Francisco José Gaspar,

and Francisco Lisbona, University of Zaragoza, Spain; Ludmil Zikatanov, Pennsylvania State University, USA


Tuesday, March 17

MS207Advances in High Level Finite Element Systems - Part I of II10:00 AM-11:40 AMRoom:151 G

For Part 2 see MS231 Many modern software projects utilize the high level of mathematical abstraction provided by finite element methods to develop powerful libraries that hide or even automate many practical computational details. Such codes increase programmer productivity, decrease potential sources of errors, and simplify the implementation of complex calculations such as h/p adaptivity and adjoint-based optimization. This minisymposium will bring together key participants from Deal.II, Dune, FEniCS, Dolfin-adjoint, Firedrake and Nektar++ to communicate the latest advances in and applications of such finite element systems.

Organizer: David HamImperial College London, United Kingdom

Organizer: Rob KirbyBaylor University, USA

10:00-10:20 FinAT: A Mathematical Structure-Preserving Library of Finite ElementsDavid Ham, Imperial College London,

United Kingdom; Rob Kirby, Baylor University, USA

10:25-10:45 Multicore Parallelism for Common Finite Element OperationsBruno Turcksin, Texas A&M University,

USA; Martin Kronbichler, Technische Universität München, Germany; Wolfgang Bangerth, Texas A&M University, USA

10:50-11:10 Towards a Unified Framework for Automated a Posteriori Error Estimation and Adaptivity in Space-TimeMarie E. Rognes, Simula Research

Laboratory, Norway; Anders Logg, Chalmers University of Technology, Sweden; Benjamin Kehlet, Simula Research Laboratory, Norway

11:15-11:35 Finite Element Geometric Multigrid Solvers from High-Level Problem DescriptionsLawrence Mitchell, Imperial College

London, United Kingdom; Eike H. Mueller, University of Bath, United Kingdom; David Ham and Colin J. Cotter, Imperial College London, United Kingdom

Tuesday, March 17

MS206Advances in Computational Techniques for Coastal Ocean Modeling - Part I of II10:00 AM-11:40 AMRoom:151 DE

For Part 2 see MS230 Environmental and coastal ocean engineering models yield complex systems combining interdisciplinary techniques. Moreover, their accurate and efficient simulation requires advanced techniques in high performance scientific computing. This minisymposium brings together experts to discuss a number of new ideas for the development, analysis and application of this important class of problems. Specific ideas include the high resolution modeling of weather extremes such as hurricane storm surge, wave propogation, climate change, and flood control.

Organizer: Jennifer ProftUniversity of Texas at Austin, USA

Organizer: Clint DawsonUniversity of Texas at Austin, USA

10:00-10:20 A Parallel Local Timestepping Runge-Kutta Discontinuous Galerkin Method with Applications to Coastal Ocean ModelingClint Dawson, University of Texas at Austin,

USA

10:25-10:45 Physically Based Assessment of Hurricane Surge Threat under Climate ChangeNing Lin, Princeton University, USA

10:50-11:10 Understanding Coastal Hydrodynamic Processes and Mitigating Risk Through High Fidelity Computer SimulationsJoannes Westerink, University of Notre

Dame, USA

11:15-11:35 Development and Validation of DG Wave: a Discontinuous Galerkin-Based Numerical Wave Prediction ModelEthan Kubatko, The Ohio State University,

USA

Tuesday, March 17

MS205Reduced-space PDE-constrained Optimization for Engineering Design10:00 AM-11:40 AMRoom:151 AB

The theme of this minisymposium is the optimization of complex engineering systems that are modelled using computationally-expensive PDE simulations. The focus is on gradient-based algorithms applied to reduced-space formulations, in which the state variables are considered implicit functions of the design via the PDE constraint. Compared with full-space, or "one-shot,” methods, reduced-space formulations offer a simplified and modular approach to optimization. However, despite its long history and popularity, the reduced-space approach continues to present unique challenges, which the speakers will discuss and address.

Organizer: Jason E. HickenRensselaer Polytechnic Institute, USA

Organizer: Graeme KennedyGeorgia Institute of Technology, USA

10:00-10:20 Constraint Aggregation Methods for PDE-Constrained OptimizationGraeme Kennedy, Georgia Institute of

Technology, USA; Jason E. Hicken, Rensselaer Polytechnic Institute, USA

10:25-10:45 A Krylov-Based Iterative Solver for Equality-Constrained Non-Convex Quadratic SubproblemsJason E. Hicken and Alp Dener, Rensselaer


10:50-11:10 Aerodynamic Shape Optimization with Goal-Oriented Error Estimation and ControlMarian Nemec and Michael Aftosmis,

NASA Ames Research Center, USA

11:15-11:35 Large-Scale PDE-Constrained Fluid-Structure OptimizationGaetan Kenway and Joaquim R. R. A

Martins, University of Michigan, USA


Tuesday, March 17

PD5Thinking of Writing a Book?12:45 PM-2:15 PMRoom:355 D

Chair: Nicholas J. Higham, University of Manchester, United Kingdom

Ever thought about writing a book? Ever wondered just what that entails? This session brings together successful authors and publishing staff to discuss the process. Topics of interest will include:

• Why and when you should consider writing a book

• A step-by-step description of the process, from initial idea to published book

• How to choose a publisher

• The author/publisher relationship – who does what

• Pitfalls to avoid

• Tips from successful authors

Even if you aren’t currently thinking of becoming an author, this session promises to be lively and engaging!

Daniela CalvettiCase Western Reserve University, USA

Eldad HaberEmory University, USA

Ralph SmithNorth Carolina State University, USA

Elizabeth GreenspanSIAM, USA

David MarshallSIAM, USA

Tuesday, March 17

PD4 PanelData Science: What is It and How to Teach It12:45 PM-2:15 PMRoom:355 A

Chair: Christopher Johnson, University of Utah, USA

Chair: Jeff Phillips, University of Utah, USA

Recently, the term Big Data has become ubiquitous. People who can wrangle Big Data are called Data Scientists. According to a number of sources, there is a growing need for people trained as Data Scientists. But what is Data Science? Is Data Science its own field or is it an interdisciplinary mix of Computer Science, Mathematics and Statistics, and Domain Knowledge or perhaps it is really what Statisticians have been doing all along? Since data science at scale involves large-scale computation, what is the relation between data science and computational science in research and education? This panel features leaders in Data Science and Computational Science to discuss the current and future status of Data Science, its relationship to Computational Science, opportunities for Data and Computational Scientists and educating future Data Scientists.

Panelists:To Be Announced

Tuesday, March 17Intermission11:40 AM-11:50 AM

IP8The Power of Matrix and Tensor Decompositions in Smart Patient Monitoring11:50 AM-12:35 PMRoom:355

Chair: Tom Bartol, The Salk Institute, USA

Accurate and automated extraction of clinically relevant information from patient recordings requires an ingenious combination of adequate pretreatment of the data (e.g. artefact removal), feature selection, pattern recognition, decision support, up to their embedding into user-friendly user interfaces. The underlying computational problems can be solved by making use of matrix and tensor decompositions as building blocks of higher-level signal processing algorithms. A major challenge here is how to make the mathematical decompositions 'interpretable’ such that they reveal the underlying medically relevant information and improve medical diagnosis. The application of these decompositions and their benefits will be illustrated in a variety of case studies, including epileptic seizure onset localisation using adult and neonatal scalp EEG and Event-related potential analysis during simultaneous EEG-fMRI acquisition.

Sabine Van HuffelKatholieke Universiteit Leuven, Belgium


Workshop Celebrating Diversity (WCD) Luncheon (by invitation only)12:45 PM-2:15 PMRoom:255 D


Tuesday, March 17

MS209First Principle Methods and Applications for Computational Materials Science and Chemistry- Part II of III2:15 PM-3:55 PMRoom:250 B

For Part 1 see MS184 For Part 3 see MS234 First principle electronic structure calculations are among the most challenging and computationally demanding science and engineering problems. This minisymposium aims at presenting and discussing new numerical methods for achieving ever higher level of accuracy and efficiency in ground and excited density functional theory calculations, and their applications in computational materials science and chemistry. We propose to bring together physicists, chemists and materials scientists who are involved in improving the numerical development of widely known quantum chemistry and solid-state physics application software packages, with mathematicians and computer scientists who are focusing on advancing the required state-of-the-art mathematical algorithms and parallel implementation.




2:15-2:35 Truly Scalable O(N) Approach for First-Principles Molecular Dynamics (FPMD) of Non-Metallic SystemsJean-Luc Fattebert and Daniel Osei-Kuffuor,


2:40-3:00 Towards Ab-Initio Simulations of Nanoelectronic DevicesMathieu Luisier, Mauro Calderara, Sascha

Brueck, Hossein Bani-Hashemian, and Joost VandeVondele, ETH Zürich, Switzerland

Tuesday, March 17

MS208Recent Advances in Numerical Methods for Interface Problems - Part I of IV2:15 PM-3:55 PMRoom:250 A

For Part 2 see MS233 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.

Organizer: Xiaoming HeMissouri University of Science and Technology, USA

Organizer: Xiaolin LiState University of New York, Stony Brook, USA

2:15-2:35 Modelling of Fabric Surface for Parachute Inflation through Front TrackingXiaolin Li, State University of New York,

Stony Brook, USA

2:40-3:00 Thermodynamically Consistent and Meta-Stable Equation of State Models for Hydro and Solid DynamicsJohn W. Grove, Los Alamos National

Laboratory, USA

3:05-3:25 Overlapping BEM on FEM computationsFrancisco J. J. Sayas, University of Delaware,

USA; Victor Dominguez, Universidad Pública de Navarra, Spain; Matthew Hassell, University of Delaware, USA

3:30-3:50 An Augmented Method for Stokes-Darcy Coupling and ApplicationsZhilin Li, North Carolina State University,

USA

Tuesday, March 17

MT3Minitutorial: Lab Skills for Scientific Computing - Part I of II2:15 PM-3:55 PMRoom:355

For Part 2 see MT4 Chair: Greg Wilson, Mozilla Foundation, USA

The Software Carpentry project (http://software-carpentry.org) has been teaching basic computing skills to scientists and engineers since 1998. This minitutorial will introduce the tools and techniques that have proven most useful, and show how integrating them can help researchers get more done in less time, and with less pain. This two-part minitutorial will introduce several widely-used practices in software development, explore the empirical evidence showing their benefits (or in some cases the lack thereof), and describe how researchers and research teams can adopt them. Some of the work will be hands-on, so participants are strongly urged to bring a laptop. Warning: real-world examples may be used.

Greg Wilson, Mozilla Foundation, USA



Tuesday, March 17

MS211Recent Advances in Model Reduction - Part II of V2:15 PM-3:55 PMRoom:250 D

For Part 1 see MS187 For Part 3 see MS236 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high-dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.



2:15-2:35 Reduced Order Modeling of Geophysical FlowsTraian Iliescu, Virginia Tech, USA

2:40-3:00 Energy-based Inner Products for POD/Galerkin Model Reduction for Compressible FlowsJeffrey Fike, Irina Kalashnikova, Matthew

Barone, and Srinivasan Arunajatesan, Sandia National Laboratories, USA

3:05-3:25 Data-driven Optimal Rational Approximation via Numerical QuadratureChristopher A. Beattie, Virginia Tech, USA;

Zlatko Drmac, University of Zagreb, Croatia; Serkan Gugercin, Virginia Tech, USA

3:30-3:50 Efficient Reduced Basis Methods for Contact and Related ProblemsKaren Veroy-Grepl, Zhenying Zhang,

Eduard Bader, and Mark Kaercher, RWTH Aachen University, Germany

Tuesday, March 17

MS210Resilient, Extreme -scale Numerical Algorithms - Part II of II2:15 PM-3:55 PMRoom:250 C

For Part 1 see MS186 Computer architectures are undergoing fundamental changes that will require the rethinking and invention of numerical algorithms suitable for computing at extreme scales (over 100 PFlops). Numerical solver technologies are needed that favor computation over data motion, that expose much greater concurrency, and that are resilient to increasing soft and hard faults. This minisymposium will feature progress in the development of such algorithms by several projects funded by the DOE Resilient Extreme- Scale Solvers initiative. A breadth of topics will be addressed, including algebraic multigrid, methods for hyperbolic conservation laws, Particle- In-Cell algorithms, and stochastic methods for linear systems.

Organizer: John LoffeldLawrence Livermore National Laboratory, USA

Organizer: Andrew MyersLawrence Berkeley National Laboratory, USA

Organizer: Jeffrey A. HittingerLawrence Livermore National Laboratory, USA

2:15-2:35 Parallel Algorithms for the Monte Carlo Synthetic Acceleration Linear Solver MethodStuart Slattery, Tom Evans, and Steven

Hamilton, Oak Ridge National Laboratory, USA

2:40-3:00 Iterative Performance of Monte Carlo Linear Solver MethodsMassimiliano Lupo Pasini, Emory University,

USA

3:05-3:25 Comparative Performance Analysis of an Algebraic Multigrid Solver on Leading Multicore ArchitecturesAlex Druinsky, Brian Austin, Xiaoye Sherry

Li, Osni A. Marques, Eric Roman, and Samuel Williams, Lawrence Berkeley National Laboratory, USA

3:30-3:50 Segmental Refinement: A Multigrid Technique for Data LocalityMark Adams, Lawrence Berkeley National

Laboratory, USA

3:05-3:25 Using Next-generation Architectures to Model Large and Complex Molecular EnvironmentsBert de Jong, Hongzhang Shan, and Leonid

Oliker, Lawrence Berkeley National Laboratory, USA

3:30-3:50 Ab Initio Quantum Monte Carlo in Computational Materials Science and ChemistryPaul Kent, Oak Ridge National Laboratory,

USA


Tuesday, March 17

MS214Efficient Algorithms for Variational Methods in Imaging - Part I of II2:15 PM-3:55 PMRoom:251 A

For Part 2 see MS239 We address recent advances in algorithms for variational methods in imaging with a particular focus on non-rigid image registration. We also discuss the use of priors in order to supervise algorithms and provide more plausible results in particular applications. The associated large-scale mathematical problems manifest as formidable, often ill-behaved systems. Key algorithmic challenges include computational complexity, memory consumption, a vast number unknowns as well as model and data uncertainties. We showcase state-of-the-art techniques in scientific computing to tackle these challenges.

Organizer: Andreas MangUniversity of Texas at Austin, USA


2:15-2:35 Constrained Optimal Control Approaches in Large Deformation Diffeomorphic Metric MappingLaurent Younes, Johns Hopkins University,

USA

2:40-3:00 Nonlinear Image Registration with a Sliding Motion Deformation ModelAlexander Derksen, University of Lübeck,

Germany

3:05-3:25 Efficient Algorithms for High-Resolution Diffusion-Weighted MRILars Ruthotto, Emory University, USA

3:30-3:50 Efficient Algorithms for Physically Constrained Diffeomorphic Image RegistrationAndreas Mang and George Biros, University

of Texas at Austin, USA

Tuesday, March 17

MS213Sparse and Compressible Representations: Theory, Algorithms and Applications - Part II of III2:15 PM-3:55 PMRoom:250 F

For Part 1 see MS189 For Part 3 see MS238 By focusing effort on identifying dominant terms of a function representation one can often accurately approximate the function from limited data. Sparsity detection also referred to as compressed sensing and l1-minimization is one approach that is extremely effective at identifying the dominant terms of a function expansion. Recently there have been many advances in l1-minimization including strategies for sampling, preconditioning and high-dimensional basis selection that attempt to maximize the accuracy of recovered signals whilst minimizing the number of signal samples. This minisymposium presents recent theoretical results, numerical methods and applications of sparse approximations, including but not limited to uncertainty quantification (UQ) and sensitivity analysis (SA).



2:15-2:35 Sampling Strategies for L1 MinimizationJohn D. Jakeman, Sandia National

Laboratories, USA; Akil Narayan, University of Massachusetts, Dartmouth, USA

2:40-3:00 Reweighted Minimization Method for Uncertainty Quantification of Microscopic ModelingGuang Lin, Xiu Yang, and Huan Lei, Pacific

Northwest National Laboratory, USA

3:05-3:25 Least Square Methods for Low-Rank Approximations with Sparsity Inducing RegularizationPrashant Rai, Ecole Centrale de Nantes,

France; Mathilde Chevreuil, Université de Nantes, France; Loïc Giraldi and Anthony Nouy, Ecole Centrale de Nantes, France

3:30-3:50 Interpolation Via Weighted L1 MinimizationRachel Ward, University of Texas at Austin,

USA; Holger Rauhut, RWTH Aachen University, Germany

Tuesday, March 17

MS212Advances in Time-stepping Methods - Part IV of V2:15 PM-3:55 PMRoom:250 E






2:15-2:35 Strong Stability Preserving General Linear MethodsZdzislaw Jackiewicz, Arizona State

University, USA

2:40-3:00 Stability-Optimized Time Integrators for WENO DiscretizationsDavid I. Ketcheson, King Abdullah

University of Science & Technology (KAUST), Saudi Arabia; Debojyoti Ghosh, Argonne National Laboratory, USA

3:05-3:25 Implicit-Explicit General Linear MethodsHong Zhang, Virginia Tech, USA

3:30-3:50 Optimal Explicit Strong Stability Preserving Runge–Kutta Methods with High Linear Order and Optimal Nonlinear OrderSigal Gottlieb, Zachary J. Grant, and Daniel

L. Higgs, University of Massachusetts, Dartmouth, USA


Tuesday, March 17

MS217Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part II of III2:15 PM-3:55 PMRoom:251 D

For Part 1 see MS193 For Part 3 see MS242 Computational modeling of multiphysical processes at the mesoscale is becoming increasingly important for applications in micro-/nano-technology, next-generation battery technology, material assembly and biological systems. In this minisymposium we address mathematical modeling along with numerical schemes that can effectively capture mesoscale multiphysics such as hydrodynamics, transport, electrostatics and chemical reaction. Desirable features of the numerical schemes include robustness, accuracy, scalability, as well as potential to cross scales as a multiscaling framework. The benchmark applications that we are interested in include mixing and separation processes in micro-/nano-channel, semi-permeable membranes, diffusive transport and electrochemical reaction in porous electrode, colloid and nanoparticle assembly, as well as macromolecular conformational change.





2:15-2:35 Meshless Methods for the Mesoscale - High Order Implicit ALE Schemes using Collocated MLSNathaniel Trask, Brown University, USA;

Kyungjoo Kim and Mauro Perego, Sandia National Laboratories, USA

Tuesday, March 17

MS216Water Resources Management: How to add it all up 2:15 PM-3:55 PMRoom:251 C


Techniques from systems theory are used to create decision support systems for the management of water resources. Development of sustainable engineering solutions in which the competing objectives of economic growth and environmental protection is aided by combined physics based models and optimization. These types of solutions have been found to be more effective when originating at a local level as it allows stakeholder/decision maker interaction. This session will present methods for managing limited and decreasing water resources at the local/regional level.

Organizer: Elma A. UddameriTexas Tech University, USA




2:15-2:35 Approaches to Evaluate Interactions in Collaborative Groundwater ManagementJoseph Amaya, Texas A&M University,

Kingsville, USA

2:40-3:00 Managing Surface Water Resources in Data Sparse RegionsFelipe Estrada, Texas Tech University, USA

3:05-3:25 Application of Simulation-Optimization for Water Management in Hydraulic Fracturing OperationsElma A. Uddameri, Texas Tech University,

USA

3:30-3:50 Climate Change and Water ScarcityDonna Mitchell, Texas Tech University, USA

Tuesday, March 17

MS215Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part II of V2:15 PM-3:55 PMRoom:251 B

For Part 1 see MS191 For Part 3 see MS240 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of- the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.



2:15-2:35 Sparse, Adaptive Smolyak Quadrature Algorithms for Stochastic Inverse ProblemsChristoph Schwab and Claudia Schillings,

ETH Zürich, Switzerland

2:40-3:00 Accelerated Bayesian Inference with Transport MapsMatthew Parno and Youssef M. Marzouk,


3:05-3:25 Quasi Optimal Sparse-Grid Approximation of Random Elliptic PDEsLorenzo Tamellini and Fabio Nobile,

EPFL, Switzerland; Raul F. Tempone, King Abdullah University of Science & Technology (KAUST), Saudi Arabia

3:30-3:50 Title Not Available at Time of PublicationMichael S. Eldred, Sandia National

Laboratories, USA continued on next page


3:05-3:25 Displacement Data AssimilationJuan M. Restrepo, Oregon State University,

USA; Steven Rosenthal and Shankar C. Venkataramani, University of Arizona, USA; Arthur Mariano, University of Miami, USA

3:30-3:50 A Sampling Filter for Non-Gaussian Data AssimilationAhmed Attia and Adrian Sandu, Virginia Tech,

USA

Tuesday, March 17

MS218Inverse Problems and Data Assimilation - Part III of VI2:15 PM-3:55 PMRoom:251 E

For Part 2 see MS194 For Part 4 see MS243 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to:

1) deterministic and statistical approaches to inversion problems and data assimilation;











2:15-2:35 Bayesian Nonlinear Smoothing and Adaptive SamplingPierre F.J Lermusiaux and Tapovan Lolla,


2:40-3:00 An Information Theoretic Approach to Use High-Fidelity Codes to Calibrate Low-Fidelity CodesAllison Lewis and Ralph C. Smith, North

Carolina State University, USA; Brian Williams, Los Alamos National Laboratory, USA

Tuesday, March 17

MS217Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part II of III2:15 PM-3:55 PMcontinued

2:40-3:00 Efficient Parallel Implementation of Implicit SPH/MLS using LAMMPS and TrilinosKyungjoo Kim and Mauro Perego, Sandia

National Laboratories, USA; Nathaniel Trask, Brown University, USA; Michael L. Parks, Sandia National Laboratories, USA

3:05-3:25 Classical Density Functional Theory of Charged Fluids at InterfacesAmalie Frischknecht, Sandia National

Laboratories, USA

3:30-3:50 Interface Resolved Numerical Method to Study Electrokinetic Particle Assembly in MicrodevicesPrashanta Dutta, Washington State

University, USA



Tuesday, March 17

MS221Parallel Computing for Partial Differential Equations on CPUs, GPUs, and Intel Phi - Part II of II2:15 PM-3:55 PMRoom:254 B

For Part 1 see MS197 Modern architectures including multi-core CPUs, massively parallel GPUs, and many-core accelerators such as the 60-core Intel Phi processor offer great opportunities for speeding up computations. They pose significant challenges due to the hybrid programming models and libraries that need to be used, ranging from distributed-memory computing with MPI, multi-threading with OpenMP, CUDA on GPUs, offloading to the Phi, for instance. This minisymposium will share experiences with parallel code and numerical algorithms from fundamental test problems over established benchmark codes to specialized research code. The minisymposium will start with an overview and contrast of the architectures and include the opportunity for the audience to discuss their own experiences.

Organizer: Matthias K. GobbertUniversity of Maryland, Baltimore County, USA


2:15-2:35 Multigrid Solvers on Heterogeneous ArchitecturesBjörn Gmeiner, Daniel Iuhasz, Sebastian

Kuckuk, Markus Stuermer, Harald Koestler, and Ulrich J. Ruede, University of Erlangen-Nuremberg, Germany

2:40-3:00 Speeding Up Sparse Triangular Solution on Multicores and GPUsHumayun Kabir, Joshua D. Booth, and Padma

Raghavan, Pennsylvania State University, USA

3:05-3:25 Applications of Distributed Methods to Non-Traditional Linear SystemsJulian Gilyard, Wake Forest University, USA;

Thomas Stitt, Pennsylvania State University, USA; Oluwapelumi Adenikinju and Joshua Massey, University of Maryland, Baltimore County, USA

3:30-3:50 General SpMV and SpMM for AMG on GPUsRobert Strzodka, NVIDIA, USA

Tuesday, March 17

MS220Numerical Methods for Multimaterial Flows with Deforming Boundaries - Part II of III2:15 PM-3:55 PMRoom:254 A

For Part 1 see MS196 For Part 3 see MS245 Multimaterial flows with deforming boundaries appear in many applications involving biological flows, medicine, industry, and homeland security. As the number of applications grow, so too the amount of research into developing and improving existing numerical methods for deforming boundary problems in multi-material flows. In this minisymposium, novel numerical methods will be presented that address efficiency and accuracy in adaptive mesh refinement algorithms, scalability on high performance computing platforms, robust interface capturing methods, numerical methods for phase change (freezing, boiling, evaporation), and numerical methods for enforcing boundary conditions at deforming boundary interfaces.




2:15-2:35 A Robust and Efficient Solver for Interfacial Multi-phase Flows on Unstructured GridsFeng Xiao, Bin Xie, and Sun Ziyao, Tokyo

Institute of Technology, Japan

2:40-3:00 Reconstructed Discontinuous Galerkin (RDG) Method for Multi-Material Flows on Unstructured MeshesRobert Nourgaliev and Sam Schofield,


3:05-3:25 A New Incompressibility Discretization for a Hybrid Particle Mac Grid Representation with Surface TensionWen Zheng and Bo Zhu, Stanford University,

USA; Byungmoon Kim, Adobe Systems, USA; Ronald Fedkiw, Stanford University, USA

3:30-3:50 An Eulerian Projection Method for Quasi-Static ElastoplasticityChris H. Rycroft, Harvard University, USA

Tuesday, March 17

MS219Uncertainty Quantification Methods for Power Grid Systems - Part II of II2:15 PM-3:05 PMRoom:251 F

For Part 1 see MS195 The properties of many operational and structural elements of power grid models are typically known to some degree of certainty. Examples include grid topology and state, including knowledge of what lines are down; model parameters, such as generator/load/line electrical and performance characteristics; and operational conditions, such as renewable generator and load levels. In this minisymposium we bring together modeling contributions for the treatment of these uncertainties, to improve the design and operation of power grids.

Organizer: Cosmin SaftaSandia National Laboratories, USA

Organizer: Ali PinarSandia National Laboratories, USA

Organizer: Jean-Paul WatsonSandia National Laboratories, USA

2:15-2:35 Statistical Metrics for Assessing Quality of Scenarios for Unit Commitment and DispatchSarah M. Ryan and Didem Sari, Iowa State

University, USA

2:40-3:00 Adaptive Robust Optimization with Dynamic Uncertainty Sets for Power System OperationsAndy Sun and Alvaro Lorca, Georgia Institute

of Technology, USA


Tuesday, March 17

MS224Low-rank Optimization with Applications - Part I of II2:15 PM-3:55 PMRoom:150 DE

For Part 2 see MS249 Low-rank matrices and tensors are a popular modeling tool in machine learning and an effective approximation class in many high-dimensional problems. At the same time, low-rank approximations can potentially lead to significant computational savings in algorithms that have to deal with large and dense matrices. This minisymposium showcases recent work in this area by focusing on low-rank optimization. The applications include subspace tracking, nonlinear programming, tensor completion, and high-dimensional eigenvalue problems, while the algorithmic techniques involve greedy algorithms, stochastic optimization, preconditioning, and optimization on manifolds.

Organizer: Bart VandereyckenPrinceton University, USA

Organizer: Daniel KressnerEPFL, Switzerland

2:15-2:35 Preconditioned Riemannian Optimization for Low-Rank Tensor EquationsBart Vandereycken, Princeton University,

USA

2:40-3:00 Semi-Supervised Robust Matrix Completion for Dynamic Subspace Estimation and TrackingHassan Mansour, Mitsubishi Electric

Research Laboratories, USA

3:05-3:25 Low-rank Approximation of Matrices and Tensors for Dynamical and Optimization ProblemsIvan Oseledets, Denis Kolesnikov, and

Mikhail Litsarev, Skolkovo Institute of Science and Technology, Russia

3:30-3:50 Greedy Algorithms for Parametric Eigenvalue ProblemsVirginie Ehrlacher, CERMICS, France

Tuesday, March 17

MS223Hybrid and Multilevel Approaches to Kinetic Equations - Part IV of IV2:15 PM-3:55 PMRoom:150 AB

For Part 3 see MS199 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.



Organizer: Ryan McClarrenTexas A&M University, USA



2:15-2:35 A Multigrid Method for Two-Dimensional Discrete-Ordinates Radiation-Transport CalculationsJeffery D. Densmore, Daniel Gill, and Justin

Pounders, Bettis Laboratory, USA

2:40-3:00 Multilevel Projection Method for Nonlinear Radiative Transfer ProblemsDmitriy Y. Anistratov, North Carolina State

University, USA

3:05-3:25 Multilevel Monte Carlo Methods for Kinetic EquationsLee F. Ricketson, Courant Institute of


3:30-3:50 A Conservative High-Order/ Low-Order Method Based Upon a Non-Conservative High-Order Least Squares Sn FormulationJacob Peterson and Jim E. Morel, Texas

A&M University, USA

Tuesday, March 17

MS222Industrial Mathematics Education2:15 PM-3:55 PMRoom:254 C

Organized by the SIAM Education Committee

Industrial Mathematics Education takes many forms: internships, mathematical modeling courses, team projects and research collaborations. This minisymposium will present industrial mathematics from multiple perspectives, such as faculty mentor, industry liaison and student researcher.


2:15-2:35 Industrial Mathematics Education at Worcester Polytechnic InstituteMarcel Blais, Worcester Polytechnic

Institute, USA

2:40-3:00 A Student Perspective on Industrial Capstones at Harvey Mudd CollegeElizabeth Schofield, Harvey Mudd College,

USA

3:05-3:25 A New Curriculum in Applied and Computational MathematicsJeffrey Humpherys, Brigham Young

University, USA

3:30-3:50 PIC Math: Preparation for Industrial Careers in Mathematical SciencesMichael Dorff, Brigham Young University,

USA


Tuesday, March 17

MS226Advances in Multigrid Methods and Their Applications - Part II of II2:15 PM-3:55 PMRoom:259

For Part 1 see MS202 Multigrid is the most successful and generally-applicable scalable approach to solving problems with a hierarchy of scales in application areas such as elliptic PDEs, optimization, inversion, and image processing. Scalable methods are increasingly essential as hardware evolution and algorithmic advances enable the solution of larger scale problems in science and engineering applications. This session brings together researchers developing multigrid and related methods to assess the state of the art, recent theoretical advances, and novel applications.

Organizer: Zichao DiArgonne National Laboratory, USA

Organizer: Maria EmelianenkoGeorge Mason University, USA

Organizer: Jed BrownArgonne National Laboratory, USA and University of Colorado Boulder, USA

2:15-2:35 Fast Algorithms for Shape Analysis of Planar ObjectsGunay Dogan, National Institute of


2:40-3:00 Deflation-based Domain Decomposition MethodsPierre Jolivet, ETH Zürich, Switzerland;

Frederic Nataf, Laboratoire Jacques-Louis Lions, France; Christophe Prud’homme, University of Strasbourg, France

3:05-3:25 The Auxiliary Space Solvers and Its ApplicationsLu Wang, Pennsylvania State University,

USA

3:30-3:50 Multiscale Methods for NetworksIlya Safro, Clemson University, USA

3:05-3:25 Accurate Adaptive Loops for Finite Deformation Plasticity in AlbanyBrian Granzow, Rensselaer Polytechnic

Institute, USA; Glen Hansen, Sandia National Laboratories, USA; Dan A. Ibanez and Mark S. Shephard, Rensselaer Polytechnic Institute, USA

3:30-3:50 Variational Multiscale Analysis of Stochastic Partial Differential Equations in AlbanyOnkar Sahni, Jason Li, Jayanth Jagalur-

Mohan, and Assad Oberai, Rensselaer Polytechnic Institute, USA

Tuesday, March 17

MS225Deployment and Application of Technologies provided by the FASTMath Institute - Part II of II2:15 PM-3:55 PMRoom:258

For Part 1 see MS201 The FASTMath SciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena. These tools include structured and unstructured mesh techniques, linear and nonlinear solvers, eigensolvers and time integration methods. Research efforts are focused on developing a full range of accurate and robust technologies that support different application codes specifically those employed by the Department of Energy’s domain scientists. This minisymposium will place emphasis on application of FASTMath tools on SciDAC and related applications. Speakers will discuss the challenges in different application areas and the impact of the latest developments in FASTMath tools.

Organizer: Onkar SahniRensselaer Polytechnic Institute, USA

Organizer: Lori A. DiachinLawrence Livermore National Laboratory, USA

2:15-2:35 Massively Parallel Flow Simulation using PETScMichel Rasquin and Benjamin Matthews,

University of Colorado Boulder, USA; Cameron Smith, Rensselaer Polytechnic Institute, USA; Kenneth Jansen, University of Colorado Boulder, USA

2:40-3:00 Albany: A Trilinos-based code for Ice Sheet Simulations and other ApplicationsAndrew Salinger, Glen Hansen, Irina

Kalashnikova, Mauro Perego, and Ray S. Tuminaro, Sandia National Laboratories, USA



Tuesday, March 17

MS229Efficient Solvers for PDE-constrained Optimization - Part I of II2:15 PM-3:55 PMRoom:151 AB

For Part 2 see MS252 Optimization problems constrained by partial differential equations arise in a wide range of applications in science and engineering. From a computational viewpoint their solution pose various challenges. One of these challenges is the development of efficient solution methods, which must often be adapted to each specific problem class. The aim of this minisymposium is to bring together researchers to report on recent developments on efficient methods for solving PDE-constrained problems.

Organizer: Simon W. FunkeSimula Research Laboratory, Norway

Organizer: Kent-Andre MardalUniversity of Oslo, and Simula Research Laboratory, Norway

Organizer: Marie E. RognesSimula Research Laboratory, Norway

2:15-2:35 Nonstandard Sobolev Spaces for Preconditioning Mixed MethodsWalter Zulehner, University of Linz, Austria;

Wolfgang Krendl, Johannes Kepler University Linz, Austria

2:40-3:00 Preconditioning of Active-Set Newton Methods for PDE-Constrained Optimal Control ProblemsMargherita Porcelli, Valeria Simoncini, and

Mattia Tani, Universita’ di Bologna, Italy

3:05-3:25 HPC Methods for Structured Inverse Modeling in Diffusive ProcessesMartin Siebenborn and Volker H. Schulz,

University of Trier, Germany

3:30-3:50 Parallel Preconditioning for Time-Dependent PDE-Constrained OptimizationEleanor McDonald and Andy Wathen,

University of Oxford, United Kingdom

Tuesday, March 17

MS228Recent Advances in High Order Spatial Discretization Methods for PDEs - Part II of III2:15 PM-3:55 PMRoom:260 B

For Part 1 see MS204 For Part 3 see MS251 Many complex physical phenomena can be modeled by partial differential equations and the numerical simulation of PDEs has been an active research area. This minisymposium aims to bring researchers together to discuss the numerical challenges when designing high order spatial discretization methods for time-dependent/static PDEs, with particular attention on weighted essentially non-oscillatory (WENO) methods and discontinuous Galerkin (DG) methods.




2:15-2:35 A Simple Weighted Essentially Non-oscillatory Limiter for the Correction Procedure via Reconstruction (CPR) FrameworkJie DU Jie, University of Science and

Technology of China, China; Chi-Wang Shu, Brown University, USA; Mengping Zhang, University of Science and Technology of China, China

2:40-3:00 Compact-Reconstruction WENO on Non-uniform MeshesKilian Cooley and James Baeder, University

of Maryland, USA

3:05-3:25 A Compact-Reconstruction WENO Scheme with Semi-Implicit Time IntegrationDebojyoti Ghosh and Emil M.

Constantinescu, Argonne National Laboratory, USA

3:30-3:50 Superconvergence Properties of Discontinuous Galerkin Methods Based on Upwind-Biased Fluxes for Linear Hyperbolic EquationsDaniel Frean, University of East Anglia,

United Kingdom

Tuesday, March 17

MS227Software Components for Integral Equation Methods - Part IV of IV2:15 PM-3:55 PMRoom:260 A

For Part 3 see MS203 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.



2:15-2:35 Robust Algorithms for Periodic Problems and Evaluation of Layer PotentialsAlex H. Barnett, Dartmouth College and

Simons Foundation, USA; Shravan Veerapaneni, University of Michigan, USA; Adrianna Gillman, Rice University, USA; Min Hyung Cho, Lin Zhao, and Yuxiang Liu, Dartmouth College, USA; Bowei Wu and Gary Marple, University of Michigan, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA

2:40-3:00 Title Not Available at Time of PublicationDenis Zorin, Courant Institute of Mathematical

Sciences, New York University, USA

3:05-3:25 Adaptive Boundary Element MethodsMichael Feischl, Thomas Führer, Gregor

Ganter, Alexander Haberl, and Dirk Praetorius, Vienna University of Technology, Austria

3:30-3:50 Fast Algorithms for the Evaluation of Layer Potentials using ‘Quadrature by Expansion’Andreas Kloeckner, University of Illinois, USA


Tuesday, March 17

MT4Minitutorial: Lab Skills for Scientific Computing - Part II of II4:25 PM-6:05 PMRoom:355

For Part 1 see MT3 Chair: Greg Wilson, Mozilla Foundation, USA

The Software Carpentry project (http://software-carpentry.org) has been teaching basic computing skills to scientists and engineers since 1998. This minitutorial will introduce the tools and techniques that have proven most useful, and show how integrating them can help researchers get more done in less time, and with less pain. This two-part minitutorial will introduce several widely-used practices in software development, explore the empirical evidence showing their benefits (or in some cases the lack thereof), and describe how researchers and research teams can adopt them. Some of the work will be hands-on, so participants are strongly urged to bring a laptop. Warning: real-world examples may be used.

Greg Wilson, Mozilla Foundation, USA

Tuesday, March 17

MS231Advances in High Level Finite Element Systems - Part II of II2:15 PM-3:55 PMRoom:151 G

For Part 1 see MS207 Many modern software projects utilize the high level of mathematical abstraction provided by finite element methods to develop powerful libraries that hide or even automate many practical computational details. Such codes increase programmer productivity, decrease potential sources of errors, and simplify the implementation of complex calculations such as h/p adaptivity and adjoint-based optimization. This minisymposium will bring together key participants from Deal.II, Dune, FEniCS, Dolfin-adjoint, Firedrake and Nektar++ to communicate the latest advances in and applications of such finite element systems.

Organizer: David HamImperial College London, United Kingdom

Organizer: Rob KirbyBaylor University, USA

2:15-2:35 Mesh-Independent Convergence for PDE-Constrained Optimisation Solvers in Dolfin-AdjointSimon W. Funke and Magne Nordaas, Simula

Research Laboratory, Norway

2:40-3:00 Simulating Coupled Pressure-Temperature Equations for Trace Gas Sensors Using FEniCS and PETScBrian W. Brennan, Baylor University, USA

3:05-3:25 Spectral/HP Element Modelling in Nektar++David Moxey, Chris Cantwell, and Spencer

Sherwin, Imperial College London, United Kingdom; Mike Kirby, University of Utah, USA

3:30-3:50 Supporting Modern HPC Hardware in the DUNE FrameworkChristian Engwer and Fahlke Jorrit,

University of Münster, Germany; Steffen Müthing, Heidelberg University, Germany

Coffee Break3:55 PM-4:25 PMRoom:255

Tuesday, March 17

MS230Advances in Computational Techniques for Coastal Ocean Modeling - Part II of II2:15 PM-3:55 PMRoom:151 DE

For Part 1 see MS206 Environmental and coastal ocean engineering models yield complex systems combining interdisciplinary techniques. Moreover, their accurate and efficient simulation requires advanced techniques in high performance scientific computing. This minisymposium brings together experts to discuss a number of new ideas for the development, analysis and application of this important class of problems. Specific ideas include the high resolution modeling of weather extremes such as hurricane storm surge, wave propogation, climate change, and flood control.

Organizer: Jennifer ProftUniversity of Texas at Austin, USA

Organizer: Clint DawsonUniversity of Texas at Austin, USA

2:15-2:35 Computational Modeling of Storm Surge in Galveston BayJennifer Proft, University of Texas at Austin,

USA

2:40-3:00 Three-Dimensional Coupled Wind-Wave and Cohesive Sediment Transport Modeling in South San Francisco BayOliver Fringer, Stanford University, USA

3:05-3:25 Strengthening the Hurricane Wave and Surge Forecast Guidance provided to Coastal Communities in North CarolinaRosemary Cyriac and J. Casey Dietrich, North

Carolina State University, USA; Jason Fleming, Seahorse Coastal Consulting, USA; Brian Blanton, University of North Carolina, Chapel Hill, USA; Rick Luettich, University of North Carolina, Moorehead City, USA

3:30-3:50 Discontinuous Galerkin Methods for Spectral Wave/Circulation ModelingJessica Meixner, University of Notre Dame,

USA


Tuesday, March 17

MS233Recent Advances in Numerical Methods for Interface Problems - Part II of IV4:25 PM-6:05 PMRoom:250 A

For Part 1 see MS208 For Part 3 see MS257 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.



4:25-4:45 Microstructure for Free Surface FlowsJames G. Glimm, State University of New

York, Stony Brook, USA

4:50-5:10 A Fictitious Domain Method with a Hybrid Cell Model for Simulating Motion of Cells in Fluid FlowZhiliang Xu, University of Notre Dame, USA

5:15-5:35 Volume-Preserving Adaptive Moment-of-Fluid Method for Interface TrackingShengtai Li, Los Alamos National Laboratory,

USA; Hyung T. Ahn, University of Ulsan, South Korea; Mikhail Shashkov, Los Alamos National Laboratory, USA

5:40-6:00 Dissipation and Dispersion Errors of Discontinuous Galerkin Method and Its Application to Level Set EquationsJue Yan, Iowa State University, USA

Tuesday, March 17

MS232Educational Applications of Agent-Based Modeling4:25 PM-6:05 PMRoom:355 A

This minisymposium will focus on educational applications of agent-based simulations across science and engineering curricula at all levels with a variety of technology environments. Specialized tools such as AgentSheets and NetLogo, along with Excel and JavaScript templates, introduce students to agent-based modeling, computational thinking, and their underlying mathematical foundation. College faculty and high school teachers will demonstrate how interesting agent-based simulations inform students about the content and method of numerical modeling while increasing the number and diversity of students excited about science. Moreover, agent-based modeling enhances student understanding of computational science and appreciation of its rich variety of scientific applications.

Organizer: Angela B. ShifletWofford College, USA

Organizer: Robert M. PanoffShodor, USA

4:25-4:45 Applying Run-Modify-Build Templates for Agent-Based ModelsRobert M. Panoff, Shodor, USA

4:50-5:10 Teaching Freshman Science Using Agent-Based Computational LaboratoriesGeorge W. Shiflet and Angela B. Shiflet,

Wofford College, USA

5:15-5:35 Transitioning from Game Design to Simulation Using Agent-Based ModelingFred Gluck, University of Colorado Boulder,

USA

5:40-6:00 NetLogo in the Secondary Life Science ClassroomCharlotte M. Trout, Retired

Tuesday, March 17

MS167Reconnection-based Arbitrary Lagrangian-Eulerian Methods4:25 PM-6:05 PMRoom:259

In numerical simulations of multidimensional fluid flow, the relationship of the motion of the computational grid to the motion of the fluid is an important issue. The motion of the grid can be chosen arbitrarily. The philosophy of the arbitrary Lagrangian-Eulerian methodology (ALE) is to exploit this degree of freedom to improve the accuracy and efficiency of the simulation. In talks presented at this minisymposium new reconnection-based ALE method in which mesh allowed to change connectivity is explored.

Organizer: Mikhail ShashkovLos Alamos National Laboratory, USA

Organizer: J. Michael OwenLawrence Livermore National Laboratory, USA

4:25-4:45 Adaptive Reconnection-Based Arbitrary Lagrangian Eulerian MethodWurigen Bo and Misha Shashkov, Los

Alamos National Laboratory, USA

4:50-5:10 Reconnection ALE in a Massively-Parallel, Staggered-Grid, Multi-Physics CodeDavid Starinshak, J. Michael Owen, and

Douglas S. Miller, Lawrence Livermore National Laboratory, USA

5:15-5:35 Multimaterial Simulation in Reale FrameworkJerome Breil, University of Bordeaux,

France

5:40-6:00 Triangular Metric-Based Mesh Adaptation for Compressible Multi-Material Flows in Semi-Lagrangian CoordinatesStephane Del Pino, CEA Saclay, France;

Isabelle Marmajou, CEA, France


Tuesday, March 17

MS236Recent Advances in Model Reduction - Part III of V4:25 PM-6:05 PMRoom:250 D

For Part 2 see MS211 For Part 4 see MS260 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high- dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.



4:25-4:45 pyMOR - A New Model Order Reduction Software FrameworkRene Milk, Mario Ohlberger, Stephan

Rave, and Felix Schindler, University of Muenster, Germany

4:50-5:10 Reduced Basis Methods for Option PricingJulien Salomon, CEREMADE Universite

Paris 9 Dauphine, France; Olena Burkovska, Technical University of Munich, Germany; Bernard Haasdonk, University of Stuttgart, Germany; Barbara Wohlmuth, Technical University of Munich, Germany

5:15-5:35 Adaptivity and Reduced Basis MethodsKarsten Urban, University of Ulm, Germany

5:40-6:00 Reduced Order Models for Patient-Specific Haemodynamics of Coronary Artery Bypass GraftsFrancesco Ballarin and Elena Faggiano,

Politecnico di Milano, Italy; Sonia Ippolito, Luigi Sacco Hospital, Italy; Andrea Manzoni and Alfio Quarteroni, École Polytechnique Fédérale de Lausanne, Switzerland; Gianluigi Rozza, SISSA, International School for Advanced Studies, Trieste, Italy; Roberto Scrofani, Luigi Sacco Hospital, Italy

Tuesday, March 17

MS235Enhancing Software Development for Emerging Platforms using Algorithms and Performance Tools4:25 PM-6:05 PMRoom:250 C

Software development needs urgent help to keep up with the rapidly emerging hardware platforms. With heterogeneity in these platforms, exploiting hybrid parallelism has added on to the already existing complexity of software development. Newer algorithms, auto-tuning and load balancing techniques, and much more are required to exploit the multi-level concurrency. In this MS, we will discuss selection of algorithms and scheduling techniques for accelerator-based codes for numerical linear algebra, the role of performance tools to assist porting applications to newer platforms, low-power algorithms and its adaptation on Tilera and experimental analysis demonstrating methodologies employed to effectively leverage heterogeneous memory subsystems.

Organizer: Sunita ChandrasekaranUniversity of Houston, USA

Organizer: Barbara ChapmanUniversity of Houston, USA

4:25-4:45 Algorithmic Selection, Autotuning, and Scheduling for Accelerator-Based Codes for Numerical Linear AlgebraPiotr Luszczek, University of Tennessee,

Knoxville, USA

4:50-5:10 Using Performance Tools to Assist Porting to New PlatformsGuido Juckeland, TU Dresden, Germany

5:15-5:35 Toward Heterogeneous Memory Systems for HPCAntonio J. Peña, Argonne National

Laboratory, USA

5:40-6:00 Algorithmic Adaptations for Scalable Community Detection on the Tilera Many-Core ArchitectureDaniel Chavarria, Howard Lu, and

Mahantesh Halappanavar, Pacific Northwest National Laboratory, USA; Ananth Kalyanaraman, Washington State University, USA

Tuesday, March 17

MS234First Principle Methods and Applications for Computational Materials Science and Chemistry - Part III of III4:25 PM-6:05 PMRoom:250 B

For Part 2 see MS209 First principle electronic structure calculations are among the most challenging and computationally demanding science and engineering problems. This minisymposium aims at presenting and discussing new numerical methods for achieving ever higher level of accuracy and efficiency in ground and excited density functional theory calculations, and their applications in computational materials science and chemistry. We propose to bring together physicists, chemists and materials scientists who are involved in improving the numerical development of widely known quantum chemistry and solid-state physics application software packages, with mathematicians and computer scientists who are focusing on advancing the required state-of-the-art mathematical algorithms and parallel implementation.




4:25-4:45 A Parallel Orbital-Updating Approach for Electronic Structure Calculations Based on Singularity DecompositionsAihui Zhou, Chinese Academy of Sciences,

China

4:50-5:10 Recent Progress on Quantum Mechanics Embedding TheoryChen Huang, Florida State University, USA

5:15-5:35 Towards Predictive Modeling of Correlation Effects in Many-electron SystemsKarol Kowalski, Pacific Northwest National

Laboratory, USA

5:40-6:00 Massively Parallel GW Calculations for Current and Next-generation HPCJack Deslippe, National Energy Research

Scientific Computing Center, USA


Tuesday, March 17

MS238Sparse and Compressible Representations: Theory, Algorithms and Applications - Part III of III4:25 PM-6:05 PMRoom:250 F

For Part 2 see MS213 By focusing effort on identifying dominant terms of a function representation one can often accurately approximate the function from limited data. Sparsity detection also referred to as compressed sensing and l1-minimization is one approach that is extremely effective at identifying the dominant terms of a function expansion. Recently there have been many advances in l1-minimization including strategies for sampling, preconditioning and high-dimensional basis selection that attempt to maximize the accuracy of recovered signals whilst minimizing the number of signal samples. This minisymposium presents recent theoretical results, numerical methods and applications of sparse approximations, including but not limited to uncertainty quantification (UQ) and sensitivity analysis (SA).



4:25-4:45 Coherence Motivated Sampling of Polynomial Chaos ExpansionsJerrad Hampton and Alireza Doostan,

University of Colorado Boulder, USA

4:50-5:10 Sparse Solutions to Large-Scale Nonlinear Subsurface Flow Inverse ProblemsBenham Jafarpour and Reza Khaninezhad,

University of Southern California, USA

5:15-5:35 An Efficient Method for the Computation of the Stochastic Galerkin Projections by Means of Tensor Format RepresentationsAlexander Litvinenko, King Abdullah

University of Science & Technology (KAUST), Saudi Arabia; Mike Espig, RWTH - Aachen University of Technology, Germany; Matthies Hermann G., TU Braunschweig, Germany; W. Hackbusch, Max Planck Institute for Mathematics in the Sciences, Germany

5:40-6:00 Tensor Approximation Methods for Stochastic ProblemsElmar Zander, Technical University

Braunschweig, Germany

5:15-5:35 Spatially Partitioned Embedded Runge-Kutta MethodsSteven Ruuth, Simon Fraser University,

Canada; David I. Ketcheson, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Colin B. Macdonald, Oxford University, United Kingdom

5:40-6:00 An Accelerated Domain Decomposition Method for Time Dependent ProblemsRonald Haynes, Memorial University,

Newfoundland, Canada

Tuesday, March 17

MS237Advances in Time-stepping Methods - Part V of V4:25 PM-6:05 PMRoom:250 E

For Part 4 see MS212 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.





4:25-4:45 A Massively Parallel Solver for the Incompressible Navier--Stokes EquationsRaymond J. Spiteri, University of

Saskatchewan, Canada

4:50-5:10 Developing a Custom Time Integrator for the Nonlinear Schrödinger Equation for An Application in Paraxial Laser PropagationMichael Minion, Lawrence Berkeley




Tuesday, March 17

MS241Linear-Complexity Dense Linear Algebra, Parallelization and Applications4:25 PM-6:05 PMRoom:251 C

Many applications in such as quantum chemistry and seismic imaging give rise to dense operators. Well-known fast methods (e.g., FMM) for applying or inverting the operators admit an algebraically orientated interpretation. Such an interpretation inspires the study of matrices with a hierarchical low-rank structure, which enables linear-cost algorithms for performing matrix operations. These operations include matrix-vector multiplication, inversion, determinant calculation and several others. This minisymposium presents latest advances in the matrix algorithms and their parallelization.

Organizer: Jie ChenArgonne National Laboratory, USA

4:25-4:45 Linear-Cost Storage and Computation with Kernel MatricesJie Chen, Argonne National Laboratory,

USA

4:50-5:10 N-Body Algorithms for Matrices with Decay: Multiplication, Projection, Inverse Factorization & Fock-ExchangeMatt Challacombe and Nicolas Bock, Los

Alamos National Laboratory, USA; Terry Haut, University of Colorado Boulder, USA

5:15-5:35 Parallel Structured Direct Solvers for Nonsymmetric and Indefinite Sparse MatricesZixing Xin, Purdue University, USA

5:40-6:00 Solvers for O(N) Electronic Structure in the Strong Scaling LimitNicolas Bock, Los Alamos National

Laboratory, USA; Terry Haut, University of Colorado Boulder, USA; Matt Challacombe, Los Alamos National Laboratory, USA; Laxmikant Kale, University of Illinois at Urbana-Champaign, USA

Tuesday, March 17

MS240Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part III of V4:25 PM-6:05 PMRoom:251 B




4:25-4:45 QoI Basis AdaptationRoger Ghanem, University of Southern

California, USA; Kenny Chowdhary and Habib N. Najm, Sandia National Laboratories, USA

4:50-5:10 Numerical Methods for SPDEs with Levy Jump Processes SPDES: Stochastic and Deterministic ApproachesMengdi Zheng and George E. Karniadakis,

Brown University, USA

5:15-5:35 Optimal Least-Squares Projection: Applications to UqTao Zhou, Chinese Academy of Sciences,

China; Akil Narayan, University of Massachusetts, Dartmouth, USA; Dongbin Xiu, University of Utah, USA

5:40-6:00 Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random CoefficientsNick Dexter, University of Tennessee, USA;

Clayton G. Webster and Guannan Zhang, Oak Ridge National Laboratory, USA

Tuesday, March 17

MS239Efficient Algorithms for Variational Methods in Imaging - Part II of II4:25 PM-6:05 PMRoom:251 A

For Part 1 see MS214 We address recent advances in algorithms for variational methods in imaging with a particular focus on non-rigid image registration. We also discuss the use of priors in order to supervise algorithms and provide more plausible results in particular applications. The associated large-scale mathematical problems manifest as formidable, often ill-behaved systems. Key algorithmic challenges include computational complexity, memory consumption, a vast number unknowns as well as model and data uncertainties. We showcase state-of-the-art techniques in scientific computing to tackle these challenges.

Organizer: Andreas MangUniversity of Texas at Austin, USA


4:25-4:45 Platform-independent Description of Image Registration AlgorithmsHarald Koestler, University of Erlangen-

Nuremberg, Germany

4:50-5:10 Novel Priors and Algorithms for 4d Tracking and Classification of CellsChristoph Brune, University of Twente,

Netherlands

5:15-5:35 Incorporating Uncertainty in MR Images of Glioblastoma when Leveraging Models to Interpret Therapeutic EfficacyAndrea Hawkins-Daarud and Kristin R.

Swanson, Northwestern University, USA

5:40-6:00 Parameter Estimation for Malignant Brain TumorsAmir Gholaminejad and George Biros,



Tuesday, March 17

MS243Inverse Problems and Data Assimilation - Part IV of VI4:25 PM-6:05 PMRoom:251 E

For Part 3 see MS218 For Part 5 see MS267 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to: 1) deterministic and statistical approaches to inversion problems and data assimilation; 2) reduced order modeling inversion framework; 3) treatment of nonlinear and non-smooth processes; 4) sensitivity analysis and its application to adaptive (targeting) observation; 5) operational data assimilation systems; 6) uncertainties impact studies; 7) automatic tools to support inversion and data assimilation methodologies.





4:25-4:45 Multi-Scale Data Assimilation for Fine-Resolution ModelsZhijin Li, California Institute of Technology,

USA

4:50-5:10 Unified Ensemble-Variational Data Assimilation SystemMilija Zupanski, Colorado State University,

USA

5:15-5:35 Ensemble Kalman Filters Without Tuning for Large ApplicationsJeffrey Anderson, National Center for

Atmospheric Research, USA

5:40-6:00 Orthogonal Transformations for the Ensemble Kalman FilterHumberto C. Godinez, Earl Lawrence,

and Dave Higdon, Los Alamos National Laboratory, USA

5:15-5:35 Mesoscale Models for Molecular Solvation: Funny Business at the Solute-Solvent InterfaceJaydeep Bardhan, Northeastern University,

USA; Matthew G. Knepley, University of Chicago, USA

5:40-6:00 Mesoscopic Modeling of Temperature-dependent Properties in Non-isothermal Fluid SystemsZhen Li, Yu-Hang Tang, Bruce Caswell, and

George E. Karniadakis, Brown University, USA

Tuesday, March 17

MS242Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part III of III4:25 PM-6:05 PMRoom:251 D

For Part 2 see MS217 Computational modeling of multiphysical processes at the mesoscale is becoming increasingly important for applications in micro-/nano-technology, next-generation battery technology, material assembly and biological systems. In this minisymposium we address mathematical modeling along with numerical schemes that can effectively capture mesoscale multiphysics such as hydrodynamics, transport, electrostatics and chemical reaction. Desirable features of the numerical schemes include robustness, accuracy, scalability, as well as potential to cross scales as a multiscaling framework. The benchmark applications that we are interested in include mixing and separation processes in micro-/nano-channel, semi-permeable membranes, diffusive transport and electrochemical reaction in porous electrode, colloid and nanoparticle assembly, as well as macromolecular conformational change.





4:25-4:45 Fluctuating Hydrodynamics Methods for Electrokinetics and Capillary Electrophoresis of Charged ColloidsPaul J. Atzberger, University of California,

Santa Barbara, USA

4:50-5:10 Biomechanics of Red Blood Cells and Related DiseasesZhangli Peng, University of Notre Dame,

USA



Tuesday, March 17

MS246High-level Technical Computing with Julia4:25 PM-6:05 PMRoom:254 B

Dynamic high-level languages enable rapid development of expressive and easily extensible code and therefore are increasingly popular in science and engineering. The new and emerging language Julia aims to overcome some limitations often associated with established dynamic languages, most importantly, large computational overhead and imperfect scaling on parallel computers. This minisymposium covers recent advances and contributions to the Julia language itself as well as examples outlining Julia’s potential for the solution of large-scale real-world problems.


Organizer: Chen JiahaoMassachusetts Institute of Technology, USA

Organizer: Alan EdelmanMassachusetts Institute of Technology and Interactive Supercomputing, Inc., USA

4:25-4:45 Large-Scale 3D Electromagnetic Imaging Using JuliaEldad Haber, University of British

Columbia, Canada

4:50-5:10 Distributed and Parallel Computing for Pde Constrained Optimization in JuliaLars Ruthotto, Emory University, USA

5:15-5:35 JuMP: Algebraic Modeling of Optimization Problems in JuliaMiles Lubin, Iain Dunning, and Joey

Huchette, Massachusetts Institute of Technology, USA

5:40-6:00 An Extensible Test Matrix Collection for JuliaWeijian Zhang and Nicholas Higham,

University of Manchester, United Kingdom

Tuesday, March 17

MS245Numerical Methods for Multimaterial Flows with Deforming Boundaries - Part III of III4:25 PM-6:05 PMRoom:254 A

For Part 2 see MS220 Multimaterial flows with deforming boundaries appear in many applications involving biological flows, medicine, industry, and homeland security. As the number of applications grow, so too the amount of research into developing and improving existing numerical methods for deforming boundary problems in multi-material flows. In this minisymposium, novel numerical methods will be presented that address efficiency and accuracy in adaptive mesh refinement algorithms, scalability on high performance computing platforms, robust interface capturing methods, numerical methods for phase change (freezing, boiling, evaporation), and numerical methods for enforcing boundary conditions at deforming boundary interfaces.




4:25-4:45 A Moment-of-Fluid Method for Computing Solutions to Multi-Phase FlowsMark Sussman, Florida State University, USA

4:50-5:10 A Time Splitting Projection Scheme for Compressible Two-Phase Flows: Application to the Interaction of Bubbles and Droplets with Ultrasound WavesSebastien Tanguy, Universite de Toulouse,

France

5:15-5:35 A Finite-Volume Based Formulation for Viscoelastic Two-Phase FlowsShahriar Afkhami, New Jersey Institute of

Technology, USA

5:40-6:00 Fourth-Order Interface Tracking and Curvature Estimation for An Arbitrary Number of Materials in Two DimensionsQinghai Zhang and Aaron L. Fogelson,


Tuesday, March 17

MS244Large-Scale and PDE-Constrained Optimization4:25 PM-6:05 PMRoom:251 F

We present recent advances in scalable solvers for large-scale and PDE-constrained optimization. Special emphasis is placed on recent developments that extend traditional optimization techniques to matrix-free PDE-constrained case as well as the development of efficient and scalable solvers for PDE-constrained optimization under uncertainty.


4:25-4:45 Inexact Primal-Dual Interior Point Filter MethodVictor Zavala, Argonne National Laboratory,

USA

4:50-5:10 PDE-Constrained Optimization Under Uncertainty for Convection-Diffusion-Reaction SystemsBart G. Van Bloemen Waanders, Sandia

National Laboratories, USA; Harriet Li, Massachusetts Institute of Technology, USA; Drew P. Kouri and Denis Ridzal, Sandia National Laboratories, USA

5:15-5:35 An Adaptive Augmented Lagrangian Method for Large-Scale Constrained OptimizationFrank E. Curtis, Lehigh University, USA;

Nicholas I.M. Gould, Rutherford Appleton Laboratory, United Kingdom; Hao Jiang and Daniel Robinson, Johns Hopkins University, USA

5:40-6:00 A Data-Driven Approach to PDE-Constrained Optimization Under UncertaintyDrew P. Kouri, Sandia National

Laboratories, USA


Tuesday, March 17

MS249Low-rank Optimization with Applications - Part II of II4:25 PM-6:05 PMRoom:150 DE

For Part 1 see MS224 Low-rank matrices and tensors are a popular modeling tool in machine learning and an effective approximation class in many high-dimensional problems. At the same time, low-rank approximations can potentially lead to significant computational savings in algorithms that have to deal with large and dense matrices. This minisymposium showcases recent work in this area by focusing on low-rank optimization. The applications include subspace tracking, nonlinear programming, tensor completion, and high-dimensional eigenvalue problems, while the algorithmic techniques involve greedy algorithms, stochastic optimization, preconditioning, and optimization on manifolds.

Organizer: Bart VandereyckenPrinceton University, USA

Organizer: Daniel KressnerEPFL, Switzerland

4:25-4:45 Exploiting Active Subspaces for Nonlinear ProgrammingPaul Constantine, Colorado School of

Mines, USA; David F. Gleich, Purdue University, USA

4:50-5:10 Non-Convex Low-Rank Matrix and Tensor RecoveryYangyang Xu, Rice University, USA

5:15-5:35 Towards an Optimal Scalability in Computing Extreme Eigenpairs of Large MatricesYin Zhang, Rice University, USA; Zaiwen

Wen, Peking University, China; Xin Liu, Chinese Academy of Sciences, China

5:40-6:00 Using Stochastic Optimization Methods for the Polyadic Decomposition of Large-Scale TensorsNico Vervliet and Lieven De Lathauwer,

Katholieke Universiteit Leuven, Belgium

Tuesday, March 17

MS248Moment Methods for the Boltzmann Equation4:25 PM-6:05 PMRoom:150 AB

The Boltzmann equation is the fundamental model in the kinetic theory. It is useful in a number of high-tech fields such as the aircraft manufacturing and micro-electro-mechanical systems. However, the numerical cost of solving the Boltzmann equation directly in large systems is still unaffordable, and the moment method is one of the important methods to derive simpler models. Recently, the research on the moment method is very active. The purpose of this minisymposium is to gather most representative researchers and report their progress. It invites speakers from different parts of the world and provides a good opportunity to exchange ideas.

Organizer: Zhenning CaiRWTH Aachen University, Germany

Organizer: Zhicheng HuHong Kong Polytechnic University, China

4:25-4:45 Approximation of the Boltzmann Equation with the Method of Moments for Low Speed Gas FlowXiaojun Gu, David Emerson, and Jianping

Meng, STFC Daresbury Laboratory, United Kingdom

4:50-5:10 A Framework on Moment Model Reduction for Kinetic EquationRuo Li, Peking University, China

5:15-5:35 Numerical Solution of a Fourteen-Moment Closure for Non-equilibrium GasesJames McDonald and Amir Baradaran,

University of Ottawa, Canada; Boone Tensuda and Clinton P. Groth, University of Toronto, Canada

5:40-6:00 Theoretical and Computational Investigations of the Non-linear Coupled Constitutive Relations (NCCR)Anirudh Singh Rana and Rho Shin Myong,

Gyeongsang National University, Korea

Tuesday, March 17

MS247Student Days: An Informal Meeting4:25 PM-6:05 PMRoom:255 D

This informal session provides opportunities for students to meet invited speakers. This is your chance to ask research or career questions, or listen to advice provided by the experts. Discussions will be conducted in smaller groups; after about 20 minutes, the groups will change, so you get a chance to talk to all of the invited speakers present.

Organizer: Hans De SterckUniversity of Waterloo, Canada

Organizer: Christopher JohnsonUniversity of Utah, USA


Meet Informally with the CSE15 Co-Chairs and Several Invited Speakers


Tuesday, March 17

MS252Efficient Solvers for PDE-constrained Optimization - Part II of II4:25 PM-6:05 PMRoom:151 AB

For Part 1 see MS229 Optimization problems constrained by partial differential equations arise in a wide range of applications in science and engineering. From a computational viewpoint their solution pose various challenges. One of these challenges is the development of efficient solution methods, which must often be adapted to each specific problem class. The aim of this minisymposium is to bring together researchers to report on recent developments on efficient methods for solving PDE-constrained problems.

Organizer: Simon W. FunkeSimula Research Laboratory, Norway

Organizer: Kent-Andre MardalUniversity of Oslo, and Simula Research Laboratory, Norway

Organizer: Marie E. RognesSimula Research Laboratory, Norway

4:25-4:45 Accelerated Source-Encoding Full-Waveform Seismic Inversion with Additional ConstraintsMichael Ulbrich and Christian Boehm,

Technical University of Munich, Germany

4:50-5:10 PDE-constrained Optimization with Local Control and Boundary Observations: Robust PreconditionersOle Løseth Elvetun, Norwegian University of

Life Sciences, Norway; Bjørn F. Nielsen, Simula Research Laboratory, Norway

5:15-5:35 Robust Preconditioners for PDE-Constrained Optimization with Limited Observation DataMagne Nordaas, Simula Research

Laboratory, Norway; Kent-Andre Mardal, University of Oslo, and Simula Research Laboratory, Norway; Bjørn F. Nielsen, Simula Research Laboratory, Norway

5:40-6:00 All-at-once Approach to Optimal Control Problems Constrained by PDEs with Uncertain InputsAkwum Onwunta, Max Planck Institute,

Magdeburg, Germany; Peter Benner, Max Planck Institute for Dynamics of Complex Systems, Germany; Martin Stoll, Max Planck Institute, Magdeburg, Germany

Tuesday, March 17

MS251Recent Advances in High Order Spatial Discretization Methods for PDEs - Part III of III4:25 PM-6:05 PMRoom:260 B

For Part 2 see MS228 Many complex physical phenomena can be modeled by partial differential equations and the numerical simulation of PDEs has been an active research area. This minisymposium aims to bring researchers together to discuss the numerical challenges when designing high order spatial discretization methods for time-dependent/static PDEs, with particular attention on weighted essentially non-oscillatory (WENO) methods and discontinuous Galerkin (DG) methods.




4:25-4:45 Maximum Principle and Positivity Preserving Flux Limiters for High Order SchemesZhengfu Xu, Michigan Technological

University, USA

4:50-5:10 A Seventh Order Hybrid Weighted Compact Scheme Based on WENO Stencil for Hyperbolic Conservation LawsJun Peng and Yiqing Shen, Chinese

Academy of Sciences, China

5:15-5:35 High-Order Accurate Numerical Methods for Elliptic and Parabolic Interface ModelsYekaterina Epshteyn, University of Utah,

USA

5:40-6:00 A One-Stage High-Resolution Constrained Transport Method for Magnetohydrodynamic EquationsXiao Feng, Michigan State University, USA

Tuesday, March 17

MS250Partitioning for Multiple Constraints and Objectives4:25 PM-6:05 PMRoom:258

Traditional graph and hypergraph partitioners play an important role in computational science applications. They enforce a simple balance constraint, with per-part workloads represented by the sum of vertex weights. Edge weights represent communication costs; partitioners then minimize a simple cost objective while satisfying the work constraint. As applications and architectures evolve, the need for partitioners that enforce multiple constraints while trying to satisfy multiple objectives is increasing. This minisymposium showcases recent developments in partitioners that handle multiple constraints and multiple objectives, targetting improved performance for diverse applications such as multiscale mechanics simulations, complex networks, sparse matrix-vector multiplication, and hybrid solvers.

Organizer: Karen D. DevineSandia National Laboratories, USA

Organizer: Siva RajamanickamSandia National Laboratories, USA

Organizer: Kamesh MadduriPennsylvania State University, USA

4:25-4:45 Load Balancing Multiscale SimulationsWilliam R. Tobin, Daniel Fovargue, and

Mark S. Shephard, Rensselaer Polytechnic Institute, USA

4:50-5:10 Handling Multiple Communication Metrics for Hypergraph PartitioningMehmet Deveci and Kamer Kaya, The Ohio

State University, USA; Bora Ucar, LIP-ENS Lyon, France; Umit V. Catalyurek, The Ohio State University, USA

5:15-5:35 Towards a Recursive Graph Bipartitioning Algorithm for Well Balanced Domain DecompositionAstrid Casadei, INRIA Bordeaux Sud-Ouest,

France; Pierre Ramet, LABRI, Univ Bordeaux, France; Jean Roman, INRIA, France

5:40-6:00 Complex Objective Partitioning of Small-World Networks Using Label PropagationGeorge Slota and Kamesh Madduri,

Pennsylvania State University, USA; Siva Rajamanickam, Sandia National Laboratories, USA


Wednesday, March 18


Closing Remarks8:00 AM-8:15 AMRoom:355

IP9Implications of Numerical and Data Intensive Technology Trends on Scientific Visualization and Analysis8:15 AM-9:00 AMRoom:355

Chair: Han-Wei Shen, The Ohio State University, USA

Technology trends in numerically and data intensive computing have the potential to reshape and significantly advance how we visualize and analyze the results of scientific simulations. However, next generation numerically intensive supercomputers are bound by power and storage constraints. These require us to transition from standard post-processing visualization and analysis approaches to intelligent, automated in-situ ones. In addition, data intensive technology trends that support accessing and understanding our data using intuitive, web-based and query-driven interfaces are now the norm. In this talk, I will discuss these trends and several freely available, open-source approaches that leverage them.

James AhrensLos Alamos National Laboratory, USA


Tuesday, March 17

MS254Advancements in Generalizing Algebraic Multigrid Methods4:25 PM-6:05 PMRoom:151 G

Recent advances in algebraic multigrid methods have led to improved solvers for a wider range of applications. In this collection of talks we highlight some interrelated developments in generalizing interpolation, improving coarsening, and enhancing the setup of multigrid methods. Collectively, techniques such as energy minimization and adaptivity lead to accelerated convergence for challenging applications. In addition, with careful algorithmic decisions and new theoretical observations, these concepts result in a more general framework for algebraic solvers.

Organizer: Luke OlsonUniversity of Illinois at Urbana-Champaign, USA

Organizer: James BrannickPennsylvania State University, USA

4:25-4:45 Root-Node Based Algebraic MultigridLuke Olson, University of Illinois at Urbana-

Champaign, USA; Jacob B. Schroder, Lawrence Livermore National Laboratory, USA

4:50-5:10 Bootstrap and Adaptive MethodsJames Brannick, Pennsylvania State

University, USA

5:15-5:35 Algebraic Multigrid for H-hermitian MatricesKarsten Kahl, University of Wuppertal,

Germany

5:40-6:00 Algebraic Multigrid Method for Implicit Smoothed Particle HydrodynamicsXiaozhe Hu, Tufts University, USA;

Wenxiao Pan, Pacific Northwest National Laboratory, USA; Jinchao Xu and Hongxuan Zhang, Pennsylvania State University, USA

Business Meeting6:15 PM-7:15 PMRoom:355

Complimentary wine and beer will be served.

(Open to SIAG/CSE members)

Tuesday, March 17

MS253Turbulence in Wind Turbine Wake: Realistic Turbine/atmosphere Interaction4:25 PM-5:40 PMRoom:151 DE

Full-scale horizontal axis wind turbines (WTs) operate in atmospheric boundary layer with atmospheric forcings playing an important role on the wake generated behind the wind turbine. ABL and WT interactions result in strong wake turbulence that adversely impacts the overall performance of wind turbine. Many studies todate have focused on idealistic inflow conditions and have not included the role of atmospheric forcings on the atmosphere on the turbine wake structure. The talks will focus on the effects of atmospheric stratification on the wake structure.

Organizer: Kiran BhaganagarUniversity of Texas, San Antonio, USA

4:25-4:45 Characterizing Turbulence in Wind Turbine Wake: Role of StratificationKiran Bhaganagar, University of Texas, San

Antonio, USA

4:50-5:10 Improved Understanding of Atmospheric Stability Effects on Wind Farm Performance Using Large-Eddy SimulationCristina L. Archer, Shengbai Xie, and

Niranjan Ghaisas, University of Delaware, USA

5:15-5:35 Les Study of a Large Wind Farm Within a Diurnal Atmospheric Boundary LayerMarc Calaf, University of Utah, USA


Wednesday, March 18

CP3Software Tools for Scientific Simulation9:10 AM-10:25 AMRoom:250 A

Chair: Johannes Grotendorst, Forschungszentrum Jülich, Germany

9:10-9:20 Symbolic Representation and Automated Code Generation for Discontinuous Galerkin Finite Element MethodsNathan Sime and Paul Houston, University

of Nottingham, United Kingdom

9:25-9:35 Automatic Parallel Programming for Scientific SimulationLi Liao, Aiqing Zhang, and Zeyao Mo,

Institute of Applied Physics and Computational Mathematics, China

9:40-9:50 Distributive Interoperable Executive Library (diel) for Systems of Multiphysics SimulationKwai L. Wong, University of Tennessee and

Oak Ridge National Laboratory, USA; Jason Coan and David White, Maryville College, USA

9:55-10:05 PoKiTT: an Efficient, Platform Agnostic Package for Thermodynamics, Kinetics, and Transport Properties within PDE SolversNathan Yonkee and James C. Sutherland,


10:10-10:20 CSE Education at JSCJohannes Grotendorst, Forschungszentrum

Jülich, Germany

Wednesday, March 18

CP2Multigrid Methods9:10 AM-10:25 AMRoom:355 A

Chair: Matthias Bolten, University of Wuppertal, Germany

9:10-9:20 Dependance of the Convergence of Multigrid Methods on the Used DiscretizationMatthias Bolten, University of Wuppertal,

Germany

9:25-9:35 On Teh Efficiency of Nonlinear Multigrid MethodsPeter K. Jimack, University of Leeds, United

Kingdom

9:40-9:50 Robust Multigrid Methods for MagnetohydrodynamicsThomas Benson, Tufts University, USA

9:55-10:05 Large-Scale Sparse Inverse Covariance EstimationEran Treister, Javier Turek, and Irad Yavneh,

Technion Israel Institute of Technology, Israel

10:10-10:20 Support Graph SmoothingAlyson Fox, University of Colorado Boulder,

USA

Wednesday, March 18

CP1Simulation of Molecular Systems9:10 AM-10:25 AMRoom:355

Chair: Martin T. Horsch, University of Kaiserslautern, Germany

9:10-9:20 Visualizing Structure in Atomic Systems at High TemperaturesEmanuel A. Lazar, Jian Han, and David J.

Srolovitz, University of Pennsylvania, USA

9:25-9:35 Potential-Functional Embedding Theory for Seamless Multiscale Simulations of MaterialsChen Huang, Florida State University, USA

9:40-9:50 A Numerical and Computational Framework for Hierarchical Multi-Scale/multi-Physics SimulationsJaroslaw Knap, Oleg Borodin, Carrie E.

Spear, Kenneth W. Leiter, David A. Powell, and Richard C. Becker, U.S. Army Research Laboratory, USA

9:55-10:05 Amr Strategies for Scft AlgorithmGaddiel Ouaknin and Frederic G. Gibou,

University of California, Santa Barbara, USA

10:10-10:20 Computational Molecular Engineering: An Emerging Technology in Process EngineeringMartin T. Horsch and Stephan Werth,

University of Kaiserslautern, Germany; Christoph Niethammer and Colin Glass, High Performance Computing Center Stuttgart, Germany; Wolfgang Eckhardt, Philipp Neumann, and Hans-Joachim Bungartz, Technische Universität München, Germany; Jadran Vrabec, University of Paderborn, Germany; Hans Hasse, University of Kaiserslautern, Germany


Wednesday, March 18

CP6Preconditioners for Fluids, Structures and Images9:10 AM-10:25 AMRoom:250 D

Chair: Kees Vuik, Delft University of Technology, Netherlands

9:10-9:20 Indefinite Preconditioning of the Coupled Stokes-Darcy SystemScott Ladenheim, Temple University, USA;

Prince Chidyagwai, Loyola University, USA; Daniel B. Szyld, Temple University, USA

9:25-9:35 A Parallel Linear Solver Exploiting the Physical Properties of the Underlying Mechanical ProblemKees Vuik, Delft University of Technology,

Netherlands

9:40-9:50 Preconditioner Scaling for Finite Element Models of Turbulent Air/Water Flow in Coastal and Hydraulic ApplicationsChris Kees and Aron Ahmadia, U.S. Army

Engineer Research and Development Center, USA; Jed Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA; Matthew Farthing, U.S. Army Engineer Research and Development Center, USA; Barry F. Smith, Argonne National Laboratory, USA

9:55-10:05 A Scalable Newton-Krylov-Schwarz Method for Coupled Fluid-Structure Interaction ProblemsFande Kong and Xiao-Chuan Cai, University

of Colorado Boulder, USA

10:10-10:20 Data Based Regularization MethodsThomas K. Huckle, Technische Universität

München, Germany

Wednesday, March 18

CP5Bayesian Methods in Uncertainty Quantification9:10 AM-10:25 AMRoom:250 C

Chair: Isabell Franck, Technical University of Munich, Germany

9:10-9:20 Uncertainty Propagation Using Infinite Mixture of Gaussian Processes and Variational Bayesian InferencePeng Chen, Cornell University, USA;

Nicholas Zabaras, University of Warwick, United Kingdom; Ilias Bilionis, Purdue University, USA

9:25-9:35 Minimal Set of Mechanisms Controlling Type I Interferon Differential SignalingPencho Yordanov, Irene Otero-Muras, and

Joerg Stelling, ETH Zürich, Switzerland

9:40-9:50 Probabilistic Mixtures of Local Reduced-Basis Models for Uncertainty QuantificationMichael Kraus and Phaedon S.

Koutsourelakis, Technical University of Munich, Germany

9:55-10:05 Surrogate-Based Bayesian Model Ranking of Atomistic Models Incorporating the Fidelity of SurrogatesHadi Meidani, University of Illinois at

Urbana-Champaign, USA; Mike Kirby and Dmitry Bedrov, University of Utah, USA

10:10-10:20 Variational Bayesian Formulations for High-Dimensional Inverse ProblemsIsabell Franck and Phaedon S.

Koutsourelakis, Technical University of Munich, Germany

Wednesday, March 18

CP4Parallel Dense Linear Algebra9:10 AM-10:10 AMRoom:250 B

Chair: Eduardo F. D’Azevedo, Oak Ridge National Laboratory, USA

9:10-9:20 Dynamic Runtime Scheduling for Dense Out-of-Core Matrix Computation on the Intel Xeon PhiEduardo F. D’Azevedo, Oak Ridge National

Laboratory, USA; Ben Chan and Terrence Chong, Chinese University of Hong Kong, Hong Kong; Allan Morales, George Washington University, USA; Kwai L. Wong, University of Tennessee and Oak Ridge National Laboratory, USA

9:25-9:35 A Framework for Parallel Fast Matrix MultiplicationAustin Benson, Stanford University,

USA; Grey Ballard, Sandia National Laboratories, USA

9:40-9:50 Optimization of Singular Vectors ComputationSergey V Kuznetsov, Intel Corporation,

Russia; Nadezhda Mozartova, Intel Corporation, USA

9:55-10:05 Performance Study of a Randomized Dense Low-Rank Matrix Approximation Using Multiple GpusTheo Mary, Universite de Toulouse, France;

Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, and Jack J. Dongarra, University of Tennessee, Knoxville, USA


Wednesday, March 18

CP9Numerical PDEs I9:10 AM-10:25 AMRoom:251 A

Chair: Anna Lischke, Iowa State University, USA

9:10-9:20 Asymptotic-Preserving Space-Time Discontinuous Galerkin Schemes for a Class of Relaxation SystemsAnna Lischke and James A. Rossmanith,

Iowa State University, USA

9:25-9:35 Universal Meshes for Problems with Moving BoundariesEvan S. Gawlik and Adrian Lew, Stanford

University, USA

9:40-9:50 A Multiscale Finite Volume with Oversampling Method to Simulate Low-Frequency Electromagnetic Geophysical ResponsesLuz Angelica A. Caudillo Mata and Eldad

Haber, University of British Columbia, Canada; Lars Ruthotto, Emory University, USA; Christoph Schwarzbach, University of British Columbia, Canada

9:55-10:05 A Computational Shock-Tube for Reproducible Computational Experiments in Traumatic Brain InjuryMauricio J. Del Razo and Randall LeVeque,

University of Washington, USA; David Cook, VA Hospital, USA

10:10-10:20 Numerical Simulations of Biological InvasionsShilpa Khatri, University of California,

Merced, USA; Anna-Karin Tornberg, KTH Royal Institute of Technology, Sweden

Wednesday, March 18

CP8Parallel Iterative Methods with Reduced Communication9:10 AM-10:25 AMRoom:250 F

Chair: Grey Ballard, Sandia National Laboratories, USA

9:10-9:20 Multigrid Preconditioners for Communication-Avoiding Krylov MethodsAndrey Prokopenko, Sandia National

Laboratories, USA

9:25-9:35 Reducing Communication Costs for Sparse Matrix Multiplication within Algebraic MultigridGrey Ballard, Jonathan J. Hu, and

Christopher Siefert, Sandia National Laboratories, USA

9:40-9:50 Alpha Setup-Amg: An Adaptive Setup Based Amg Solver for Large-Scale Simulations with Long Time-SteppingXiaowen Xu, Institute of Applied Physics and


9:55-10:05 Avoiding Communication and Synchronization in Krylov EigensolversAlexander Breuer, Claire Eisner, Jaroslaw

Knap, and Kenneth Leiter, U.S. Army Research Laboratory, USA

10:10-10:20 Scalable Alternative to Domain DecompositionDavid A. Appelhans, Thomas Manteuffel,

Steve McCormick, and John Ruge, University of Colorado Boulder, USA

Wednesday, March 18

CP7Numerical Simulation on Accelerators9:10 AM-10:25 AMRoom:250 E

Chair: Erik G. Boman, Sandia National Laboratories, USA

9:10-9:20 Spectral Methods in PDE Solving: a Multi-GPU FrameworkGyula I. Toth, Tatjana Kuztensova, and Bjorn

Kvamme, University of Bergen, Norway

9:25-9:35 Direct Hierarchical Schur Method for Nested Dissection Reordered Linear Systems on Multi-GPUsCheming Chu, Pochuan Wang, and

Weichung Wang, National Taiwan University, Taiwan

9:40-9:50 Solving Sparse Linear Systems on GPUs Based on the Biell Storage FormatTongxiang Gu, Institute of Applied Physics

and Computational Mathematics, China; Cong Zheng, Graduate School of Chinese Academy of Engineering Physics, China; Shou Gu, University of Electronic Science and Technology of China, China; Xingping Liu, Institute of Applied Physics and Computational Mathematics, China

9:55-10:05 Optimizing Structured Grid Numerical Simulations for Numa-Multicore SystemsZhang Yang, Aiqing Zhang, and Zeyao

Mo, Institute of Applied Physics and Computational Mathematics, China

10:10-10:20 Parallel Graph Coloring for Scientific ComputingErik G. Boman, Sandia National

Laboratories, USA


Wednesday, March 18

CP12Numerical Methods for Statistical Mechanics and Plasmas9:10 AM-10:25 AMRoom:251 D

Chair: Paul Cazeaux, EPFL, Switzerland

9:10-9:20 Vlasov-Poisson Simulations of Magnetized Plasmas Using High-Order Continuum MethodsGenia Vogman, University of California,

Berkeley, USA; Phillip Colella, Lawrence Berkeley National Laboratory, USA; Uri Shumlak, University of Washington, USA

9:25-9:35 Coarse Multiscale Timestepping for Problems in Plasma Physics with Equation-Free Projective IntegrationPaul Cazeaux, EPFL, Switzerland; Jan

Hesthaven, EPFL, France

9:40-9:50 Discontinuous Galerkin Deterministic Solvers of Boltzmann-Poisson Models of Hot Electronic Transport Using Empirical Pseudopotential MethodsJose A. Morales Escalante and Irene M.

Gamba, University of Texas at Austin, USA; Yingda Cheng, Michigan State University, USA; Armando Majorana, University of Catania, Italy; Chi-Wang Shu, Brown University, USA; James R. Chelikowsky, University of Texas at Austin, USA

9:55-10:05 Semi-Lagrangian Discontinuous Galerkin Schemes for the Relativistic Vlasov-Maxwell SystemPierson Guthrey and James A. Rossmanith,

Iowa State University, USA

10:10-10:20 Asymptotic-Preserving Scheme for the Fokker-Planck-Landau-Maxwell System in the Quasi-Neutral RegimeStephane Brull, Institut Polytechnique

de Bordeaux, France; Bruno Dubroca, d’Humière Emmanuel, and Guisset Sébastien, Universite de Bordeaux I, France

Wednesday, March 18

CP11Parallel Simulation with Reduced Communication9:10 AM-10:25 AMRoom:251 C

Chair: Miles L. Detrixhe, University of California, Santa Barbara, USA

9:10-9:20 Exploring Communication Options with Adaptive Mesh RefinementCourtenay T. Vaughan and Richard Barrett,


9:25-9:35 A Communication Algorithm for the Patch-Based Multiblock Structured Mesh ApplicationsHong Guo, Institute of Applied Physics and


9:40-9:50 A Communication Staging Technique for a Hierarchical Ocean ModelGeoff Womeldorff, Chris Newman, Dana

Knoll, and Luis Chacón, Los Alamos National Laboratory, USA

9:55-10:05 Scalable Parallel Assembly for High-Performance Computing with Isogeometric and Higher-Order Finite ElementsVasco Varduhn and Dominik Schillinger,

University of Minnesota, USA

10:10-10:20 A Parallel Fast Sweeping Method for Quadtrees and OctreesMiles L. Detrixhe, University of California,

Santa Barbara, USA

Wednesday, March 18

CP10Numerical PDEs II9:10 AM-10:25 AMRoom:251 B

Chair: Saeid Karimi, University of Houston, USA

9:10-9:20 Towards a Physically Admissible Implicit-Explicit Splitting for All Froude Number Shallow Water FlowsSeyed Hamed Zakerzadeh and Sebastian

Noelle, RWTH Aachen University, Germany

9:25-9:35 High Order Schemes Based on Operator Splitting and Deferred Corrections for Stiff Time Dependent PdesMax Duarte and Matthew Emmett, Lawrence

Berkeley National Laboratory, USA

9:40-9:50 Monolithic Multi-Time-Step Coupling Methods for Transient SystemsSaeid Karimi and Kalyana Nakshatrala,

University of Houston, USA

9:55-10:05 A New Lattice Boltzman Solver on Unstructured Grid and Study of Its PerformanceWeishan Deng, Xiaohe Zhufu, and Jin Xu,

Chinese Academy of Sciences, China

10:10-10:20 Finite-Difference Frequency-Domain Analysis of Photonic Devices with Periodic Structures Based on Domain DecompositionCheng-Han Du, Pochuan Wang, and

Weichung Wang, National Taiwan University, Taiwan


Wednesday, March 18

CP15Applications to Energy Systems and Signals9:10 AM-9:40 AMRoom:254 A

Chair: Duncan A. Mcgregor, Oregon State University, USA

9:10-9:20 Simulation-based Current Estimation in Magnetohydrodynamic GeneratorsDuncan A. Mcgregor, Vrushali Bokil,

and Nathan L. Gibson, Oregon State University, USA; Charles Woodside, National Energy Technology Laboratory, USA

9:25-9:35 Fast Supercomputing Algorithms for Power System Operation and ControlEugene A. Feinberg, Stony Brook

University, USA; Bruce Fardanesh, New York Power Authority, USA; Muqi Li and Roman Samulyak, Stony Brook University, USA; George Stefopoulos, New York Power Authority, USA; Gaurish Telang, Stony Brook University, USA

Wednesday, March 18

CP14Numerical Methods for Control Problems9:10 AM-10:25 AMRoom:251 F

Chair: Ana Maria Soane, US Naval Academy, USA

9:10-9:20 Optimal Order Multigrid Preconditioners for Linear Systems Arising in the Semismooth Newton Method Solution Process of a Class of Control-Constrained ProblemsJyoti Saraswat, Thomas More College,

USA; Andrei Draganescu, University of Maryland, Baltimore County, USA

9:25-9:35 Multigrid Preconditioners for Stochastic Optimal Control Problems with Elliptic Spde ConstraintsAna Maria Soane, US Naval Academy, USA

9:40-9:50 Optimal Control of Level SetsChristopher Basting and Dmitri Kuzmin,

Technische Universität Dortmund, Germany

9:55-10:05 Numerical Realization of the Open Pit Mine Planning ProblemNikolai Strogies and Andreas Griewank,

Humboldt University Berlin, Germany

10:10-10:20 Fractional Powers of Finite Element Approximation for An Parabolic Optimal Control ProblemsManickam Kandasamy and Periasamy

Prakash, Periyar University, India

Wednesday, March 18

CP13Uncertainty Quantification9:10 AM-10:25 AMRoom:251 E

Chair: Uno B. Vaaland, Norwegian University of Science and Technology, Norway

9:10-9:20 A Multi-Model Monte Carlo Framework Based on Ensemble Kalman FilteringJianxun Wang and Heng Xiao, Virginia

Tech, USA

9:25-9:35 Detecting Discontinuities and Localized Features Using Gaussian ProcessesIlias Bilionis, Purdue University, USA;

Nicholas Zabaras, Cornell University, USA

9:40-9:50 Reducing Dimensionality Through Active Subspaces, and the Effect of Gradient Approximations on the Associated EigenpairsUno B. Vaaland, Norwegian University of

Science and Technology, Norway; Paul Constantine, Colorado School of Mines, USA

9:55-10:05 Parallel Methods for Accelerated Multilevel Monte Carlo for Partial Differential Equations with Random InputZane Colgin, Middle Tennessee State

University, USA

10:10-10:20 Topology Optimization under Manufacturing UncertaintiesBoyan S. Lazarov, Technical University of

Denmark, Denmark


Wednesday, March 18

CP18FEM for Fluids and Structures9:10 AM-10:25 AMRoom:150 AB

Chair: Kathrin Smetana, Massachusetts Institute of Technology, USA

9:10-9:20 Dual-Mixed Finite Element Methods for the Brinkman ProblemJason Howell, College of Charleston, USA;

Noel J. Walkington, Carnegie Mellon University, USA

9:25-9:35 Numerical Modeling of Non-Associated Flow Model by Successive Convex Optimization: Application in Incompressible Porous MediaZahra S. Lotfian and Mettupalayam

Sivaselvan, State University of New York at Buffalo, USA

9:40-9:50 High-Order Mixed Finite Elements for a Pressure Poisson Equation Reformulation of the Navier-Stokes Equations with Electric Boundary ConditionsDong Zhou, Temple University, USA;

David Shirokoff, New Jersey Institute of Technology, USA; Benjamin Seibold, Temple University, USA; Rodolfo R. Rosales, Massachusetts Institute of Technology, USA; Prince Chidyagwai, Loyola University, USA

9:55-10:05 A Variational Multi-Scale Approach Using Linear Simplicial Finite Elements for Transient Viscoelastic Solid MechanicsXianyi Zeng and Guglielmo Scovazzi, Duke

University, USA

10:10-10:20 Physically Motivated and Certified Approximation of Large Elastic Structures in Real-TimeKathrin Smetana, Massachusetts Institute

of Technology, USA; Phuong Huynh and David Knezevic, Akselos, Switzerland; Anthony T. Patera, Massachusetts Institute of Technology, USA

Wednesday, March 18

CP17Incompressible and Low Mach-number Fluids9:10 AM-10:25 AMRoom:254 C

Chair: Suchuan Dong, Purdue University, USA

9:10-9:20 Energy-Stable Open Boundary Conditions for Two-Phase FlowsSuchuan Dong, Purdue University, USA

9:25-9:35 Improving the Fluid-Structure Interaction for Ship HydrodynamicsThomas Miras, Fernando A. Rochinha,

Renato N. Elias, José L.D. Alves, Carlos E. Silva, and Alvaro L.G.A. Coutinho, Federal University of Rio de Janerio, Brazil

9:40-9:50 A Stable Projection Method for the Incompressible Navier-Stokes Equations on Arbitrary Geometries and Adaptive Quad/oc-TreesArthur Guittet, University of California,

Santa Barbara, USA

9:55-10:05 A Low Mach Number Model for Moist Atmospheric FlowsMax Duarte, Ann S. Almgren, and John

B. Bell, Lawrence Berkeley National Laboratory, USA

10:10-10:20 An Efficient, Pressure Projection Method for Reacting Low-Mach Flow SimulationsAmir Biglari, Tony Saad, and James C.

Sutherland, University of Utah, USA

Wednesday, March 18

CP16Applications in Geophysics9:10 AM-10:25 AMRoom:254 B

Chair: Fabian Franzelin, University of Stuttgart, Germany

9:10-9:20 Data-Driven Uncertainty Quantification with Adaptive Sparse Grids in Subsurface Flow SimulationsFabian Franzelin and Sergey Oldayshkin,

University of Stuttgart, Germany; Benjamin Peherstorfer, Massachusetts Institute of Technology, USA; Dirk Pflüger, Universität Stuttgart, Germany

9:25-9:35 Quantification of Structural Uncertainty in a Land Surface ModelZhangshuan Hou and Maoyi Huang, Pacific

Northwest National Laboratory, USA; Jaideep Ray and Laura Swiler, Sandia National Laboratories, USA

9:40-9:50 HPC and Model Reduction Algorithms for Large-Scale Simulation of Stochastic Wave Propagation ModelsMahadevan Ganesh, Colorado School of

Mines, USA

9:55-10:05 Integration of Geophysical Fluid Dynamics and Fully 3D Fluid Dynamics to Simulate Multiphysics Coastal Ocean FlowsHansong Tang, City University of New York,

USA; Ke Qu, City College of New York, USA

10:10-10:20 PDE-Constrained Optimization Applied to Core Flooding from Reservoir EngineeringCaleb C. Magruder, Rice University, USA;

Jeremy Brandman and Shivakumar Kameswaran, ExxonMobil Research, USA


Wednesday, March 18

CP21Numerical Models for Fluids9:10 AM-10:25 AMRoom:259

Chair: TBA

9:10-9:20 Brownian and Hydrodynamic Motion of Complex Shaped Particles in Straight and Branching Blood VesselsYaohong Wang, David Eckmann, Ravi

Radhakrish, Helena Vitoshki, and Portonovo Ayyaswamy, University of Pennsylvania, USA

9:25-9:35 An ALE-Phase-Field Method for Dynamic Wetting of Moving ParticlesPengtao Yue, Virginia Tech, USA

9:40-9:50 Interaction Between Toroidal Swimmers in Stokes FlowJianjun Huang, Worcester Polytechnic

Institute, USA; Lisa J. Fauci, Tulane University, USA

9:55-10:05 Simulating Non-Dilute Transport in Porous Media Using a Tcat-Based ModelDeena H. Giffen, North Carolina State

University, USA

10:10-10:20 Hierarchical Model Reduction of the Navier-Stokes Equations for Incompressible Flows in PipesSofia Guzzetti, Emory University, USA;

Simona Perotto, Politecnico di Milano, Italy; Alessandro Veneziani, Emory University, USA

Wednesday, March 18

CP20Modeling at Molecular Scales in Physics and Chemistry9:10 AM-10:10 AMRoom:258

Chair: Yongyong Cai, Purdue University, USA

9:10-9:20 Ground States and Dynamics of Spin-Orbit-Coupled Bose-Einstein CondensatesYongyong Cai, Purdue University, USA;

Weizhu Bao, National University of Singapore, Singapore

9:25-9:35 Fractional Schrödinger DynamicsYanzhi Zhang, Missouri University of

Science and Technology, USA

9:40-9:50 Fast Ewald Summation for Mixed Periodic Boundary Conditions Based on the Nonuniform FftFranziska Nestler and Michael Pippig,

Chemnitz University of Technology, Germany

9:55-10:05 Parallel Replica Dynamics with Spatial Parallelization for a Driven SystemMichael T. Stobb, Juan Meza, and Ashlie

Martini, University of California, Merced, USA

Wednesday, March 18

CP19Finite Element Methods9:10 AM-10:25 AMRoom:150 CD

Chair: Emily Evans, Brigham Young University, USA

9:10-9:20 The Weighted Finite Element Method for Elasticity Problem with SingularityViktor Rukavishnikov, Russian Academy of

Sciences, Russia

9:25-9:35 An Anchored Analysis of Variance Petrov-Galerkin Projection Scheme for a Class of High Dimensional Elliptic Partial Differential EquationsMatthew T. Li, Christophe Audouze, and

Prasanth B. Nair, University of Toronto, Canada

9:40-9:50 Hierarchical Hpk-Adaptivity for Isogeometric AnalysisEmily Evans and Kevin Tew, Brigham Young

University, USA

9:55-10:05 A Stencil Based Finite Element MethodJohan S. Hysing, Tokyo Institute of

Technology, Japan

10:10-10:20 Finite Element Modeling and Analysis of Invisibility Cloaks with MetamaterialsJichun Li, University of Nevada, Las Vegas,

USA


Wednesday, March 18

CP24Models for Geophysical Fluids9:10 AM-10:25 AMRoom:151 AB

Chair: Markus Burkow, University of Bonn, Germany

9:10-9:20 A Numerical Simulation of the Sediment Dynamics in a Three Dimensional Fluid FlowMarkus Burkow and Michael Griebel,

University of Bonn, Germany

9:25-9:35 Three-Dimensional Wavelet-Based Adaptive Mesh Refinement Algorithm for Numerical Simulation of Atmospheric Global Chemical TransportArtem N. Semakin and Yevgenii Rastigejev,

North Carolina A&T State University, USA

9:40-9:50 Free Surface Waves on a Horizontal Shear FlowJohn P. Mchugh, University of New

Hampshire, USA; Gary Lapham, Maine Maritime Academy, USA

9:55-10:05 Openfoam Implementation of a New Subgrid-Scale Model for Large Eddy SimulationRukiye Kara, Mimar Sinan Fine Arts

University, Turkey; Mine Caglar, Koc University, Turkey

10:10-10:20 Quantifying Scale Coupling and Energy Pathways in the OceanHussein Aluie, University of Rochester,

USA; Matthew Hecht, Los Alamos National Laboratory, USA; Geoffrey Vallis, University of Exeter, United Kingdom

Wednesday, March 18

CP23Numerical Methods for Conservation Laws9:10 AM-10:25 AMRoom:260 B

Chair: Rakesh Kumar, Indian Institute of Technology-Bombay, India

9:10-9:20 A Space-Time Finite Volume Differencing Method for Robust Higher Order Schemes for Transport EquationsYaw Kyei, North Carolina Agricultural and

Technical State University, USA

9:25-9:35 Cubic B-Spline Quasi-Interpolation Based Numerical Scheme for Hyperbolic Conservation LawsRakesh Kumar and Sambandam Baskar,

Indian Institute of Technology-Bombay, India

9:40-9:50 Lagrangian Particle Method for Complex FlowsRoman Samulyak, Hsin-Chiang Chen, and

Wei Li, Stony Brook University, USA

9:55-10:05 A Runge-Kutta Discontinuous Galerkin Method for Modeling Storm-Water Flow in Networks of Drainage ChannelsPrapti Neupane and Clint Dawson,


10:10-10:20 Space-Time Adaptive Multiresolution Simulations of the Compressible Euler EquationsMargarete O. Domingues, Instituto Nacional

de Pesquisas Espaciais, Brazil

Wednesday, March 18

CP22Stochastic Differential Equations9:10 AM-10:25 AMRoom:260 A

Chair: Christophe Audouze, University of Toronto, Canada

9:10-9:20 Local Polynomial Chaos Expansion for Linear Differential Equations with High Dimensional Random InputsYi Chen, Purdue University, USA; Dongbin

Xiu, University of Utah, USA; John D. Jakeman, Sandia National Laboratories, USA; Claude Gittelson, ETH Zürich, Switzerland

9:25-9:35 Stochastic Low-Dimensional Modeling of Natural Convection Using Dynamically Orthogonal DecompositionHessameddin Babaee, Massachusetts


9:40-9:50 Anchored ANOVA Petrov-Galerkin (AAPG) Projection Schemes for Parabolic Stochastic Partial Differential EquationsChristophe Audouze and Prasanth B. Nair,

University of Toronto, Canada

9:55-10:05 Fully Implicit Runge-Kutta Methods for Multi-Channel Stiff Stochastic Differential Systems with JumpsViktor Reshniak and Abdul Khaliq, Middle

Tennessee State University, USA; Guannan Zhang, Oak Ridge National Laboratory, USA; David A. Voss, Western Illinois University, USA

10:10-10:20 Variance Reduction in the Simulation of Stochastic Differential EquationsDavid J. Horntrop, New Jersey Institute of

Technology, USA


Wednesday, March 18

MS255Featured Minisymposium: Big Data Analytics10:55 AM-12:35 PMRoom:355

Big data analytics has become a new paradigm for decision making and knowledge discovery. This minisymposium highlights four major topics, urban, graph, biomedical, and scientific data analytics in this area. Urban data analytics harvest the vast amount of data collected from smart devices and networks to improve the life of citizens. Graphs are used to model relationships between entities and hence play a central role in big data analytics. Biomedical data analytics use data-driven approaches to enable discovery and find new medical cures. Scientific data analytics assists scientists to extract knowledge from simulations aiming to solve grand challenge problems.

Organizer: Han-Wei ShenThe Ohio State University, USA

10:55-11:15 Exploring Big Urban DataClaudio T. Silva, New York University, USA

11:20-11:40 Designing Visualizations for Biological ResearchMiriah Meyer, University of Utah, USA

11:45-12:05 Graph Analytics for Scientific DataPeterka Tom, Argonne National Laboratory,

USA

12:10-12:30 Exascale Scientific Data Analytics and VisualizationHan-Wei Shen, The Ohio State University,

USA

Wednesday, March 18

CP26Applications in Computational Science9:10 AM-10:10 AMRoom:150 G

Chair: William F. Mitchell, National Institute of Standards and Technology, USA

9:10-9:20 Updating and Downdating Techniques for NetworksFrancesca Arrigo, Università degli Studi

dell’Insubria, Italy; Michele Benzi, Emory University, USA

9:25-9:35 Using Space Filling Curves to Find An Element That Contains a Given PointWilliam F. Mitchell, National Institute of


9:40-9:50 Dynamic Causal Modelling of Brain-Behaviour RelationshipsJean Daunizeau and Lionel Rigoux,

Université Pierre et Marie Curie, France

9:55-10:05 Topology Backs Holistic MedicineFernando Schwartz, University of Tennessee,

USA; Louis Xiang, Chinese University of Hong Kong, Hong Kong; Kwai L. Wong, University of Tennessee and Oak Ridge National Laboratory, USA


Wednesday, March 18

CP25Linear Algebra Methods9:10 AM-10:25 AMRoom:151 DE

Chair: Daniel B. Szyld, Temple University, USA

9:10-9:20 Efficient Low-Rank Solutions of Generalized Lyapunov EquationsDaniel B. Szyld, Temple University, USA;

Setephen Shank, Massachusetts Institute of Technology, USA; Valeria Simoncini, Universita’ di Bologna, Italy

9:25-9:35 An Implementation and Analysis of the Refined Projection Method For (Jacobi-)Davidson Type MethodsLingfei Wu and Andreas Stathopoulos,

College of William & Mary, USA

9:40-9:50 On a priori and a posteriori Eigenvalue/eigenvector Error Estimates for Nonlinear Eigenvalue ProblemsAgnieszka Miedlar, Technische Universität

Berlin, Germany; Daniel Kressner, EPFL, Switzerland

9:55-10:05 Lu and Partial Orthogonalization Preconditioning for Conjugate Gradient Solution of Overdetermined Sparse Least Squares ProblemsGary W. Howell, North Carolina State

University, USA; Marc Baboulin, INRIA/University of Paris-Sud, France

10:10-10:20 Tensor Rank Prediction via Cross ValidationWoody N. Austin, University of Texas at

Austin, USA; Tamara G. Kolda and Todd Plantenga, Sandia National Laboratories, USA


Wednesday, March 18

MS258Streamlining Application Performance Portability - Part I of II10:55 AM-12:35 PMRoom:250 B

For Part 2 see MS283 Achieving sustainable performance among different computer architectures often cannot be addressed with ingenuous combinations of compiler optimization options and manual rewriting. In contrast, auto-tuning (AT) technologies based, for example, on static modifications (typically pragmas), run-time optimizations, and source to source transformations have enabled sustained performance on a variety of computer architectures. As we move towards more complex computer architectures and higher levels of concurrency, AT is expected to play a major role in giving applications a gateway to performance portability. Of particular interest is the use of AT in the context of kernels that are the core of most large applications, including linear solvers, eigensolvers and stencil computations. In this minisymposium we will discuss AT frameworks and technologies, show examples of how they have been used in practice, and the corresponding performance gains.

Organizer: Takahiro KatagiriUniversity of Tokyo, Japan

Organizer: Toshiyuki ImamuraRIKEN, Japan

Organizer: Osni A. MarquesLawrence Berkeley National Laboratory, USA

10:55-11:15 Towards Auto-tuning in the Era of 200+ Thread Parallelisms --- FIBER Framework and Minimizing Software Stack ---Takahiro Katagiri, Satoshi Ohshima, and

Masaharu Matsumoto, University of Tokyo, Japan

Wednesday, March 18

MS257Recent Advances in Numerical Methods for Interface Problems - Part III of IV10:55 AM-12:35 PMRoom:250 A

For Part 2 see MS233 For Part 4 see MS282 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.



10:55-11:15 Optimal Energy Conserving Discontinuous Galerkin Methods for the Wave Propagation Problems in Heterogeneous MediaYulong Xing, University of Tennessee and


11:20-11:40 Surface Phase Separation Mediated by Nonlocal InteractionsYongcheng Zhou, Colorado State University,

USA

11:45-12:05 Improvements in the Level Set Method with a Focus on Curvature-Dependent ForcingChris Vogl, University of Washington, USA

12:10-12:30 A Multi-physics Domain Decomposition Method for Navier-Stokes-Darcy ModelXiaoming He, Missouri University of Science

and Technology, USA

Wednesday, March 18

MS256Distributed Cyber-Physical Systems: Modelling and Controlling the Power Grid - Part I of II10:55 AM-12:35 PMRoom:355 A

For Part 2 see MS281 The Power Grid is a geographically distributed cyber-physical system, and its system complexity and the volume of data associated with it are growing. The speakers in the minisymposium will address recent advances in algorithms that accelerate the performance of software tools developed to model, optimize, and control the Grid.

Organizer: Alex PothenPurdue University, USA

Organizer: Vaithianathan VenkatasubramanianWashington State University, USA

Organizer: Mahantesh HalappanavarPacific Northwest National Laboratory, USA

10:55-11:15 Fast Algorithms for Synchrophasor ComputationsVaithianathan Venkatasubramanian, Tianying

Wu, Seyed Arash Sarmadi, and Ebrahim Rezaei, Washington State University, USA

11:20-11:40 Exploiting Network Laplacian Structure in Power Grid DynamicsChristopher DeMarco and Honghao Zheng,

University of Wisconsin, Madison, USA

11:45-12:05 Distributed Optimization Algorithms for Wide-Area Oscillation Monitoring in Power SystemsAranya Chakrabortty and Seyedbehzad

Nabavi, North Carolina State University, USA

12:10-12:30 Probability Density Methods for the Analysis of Power Grids Under UncertaintyDavid A. Barajas-Solano and Alexander

Tartakovsky, Pacific Northwest National Laboratory, USA; Debojyoti Ghosh, Emil M. Constantinescu, and Shrirang Abhyankar, Argonne National Laboratory, USA; Zhenyu Huang, Pacific Northwest National Laboratory, USA



Wednesday, March 18

MS260Recent Advances in Model Reduction - Part IV of V10:55 AM-12:35 PMRoom:250 D

For Part 3 see MS236 For Part 5 see MS285 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high- dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.



10:55-11:15 Model Reduction in Physics-Based Sound SynthesisDoug L. James and Timothy Langlois,

Cornell University, USA

11:20-11:40 Reduced-order Models using Dynamic Mode DecompositionClarence Rowley, Matthew O. Williams,

Maziar S. Hemati, and Scott Dawson, Princeton University, USA

11:45-12:05 Iterative Solution Techniques in Reduced-order ModelingVirginia Forstall and Howard C. Elman,

University of Maryland, College Park, USA

12:10-12:30 Online Adaptive Model ReductionBenjamin Peherstorfer and Karen E.

Willcox, Massachusetts Institute of Technology, USA

Wednesday, March 18

MS259Parallel, Multiscale, Multiphysics Simulation Using MOOSE - Part I of II10:55 AM-12:35 PMRoom:250 C

For Part 2 see MS284 The Idaho National Laboratory (INL)-developed Multiphysics Object Oriented Simulation Environment (MOOSE; www.mooseframework.org), is an open-source, parallel computational platform that enables the solution of complex, fully-implicit multiphysics systems. MOOSE provides a set of computational tools that scientists and engineers can use to create sophisticated multiphysics simulations. Applications built using MOOSE have computed solutions for chemical reaction and transport equations, computational fluid dynamics, solid mechanics, heat conduction, mesoscale materials modeling, geomechanics, and others. This minisymposium highlights some of the recent results obtained using the MOOSE platform.

Organizer: Derek R. GastonIdaho National Laboratory, USA

Organizer: Andrew SlaughterIdaho National Laboratory, USA

10:55-11:15 Computational Microstructure Science Using the Moose FrameworkBradley Fromm, Daniel Schwen, and

Michael Tonks, Idaho National Laboratory, USA

11:20-11:40 Microstructural Modeling of Fracture in Uranium Dioxide Using a Phase-Field Based ApproachPritam Chakraborty and Michael Tonks,

Idaho National Laboratory, USA

11:45-12:05 Fission Bubble Modeling in Uranium CarbideChristopher Matthews and Andrew Klein,

Oregon State University, USA

12:10-12:30 Grizzly: A Simulation Tool for Nuclear Power Plant Component AgingBenjamin Spencer, Idaho National

Laboratory, USA

11:20-11:40 Active Harmony: Making Autotuning EasyJeffery Hollingsworth, University of

Maryland, USA

11:45-12:05 The Role of Autotuning Compiler TechnologyMary Hall, University of Utah, USA

12:10-12:30 A Framework for Separation of Concerns Between Application Requirements and System RequirementsHiroyuki Takizawa, Shoichi Hirasawa, and

Hiroaki Kobayashi, Tohoku University, Japan


Wednesday, March 18

MS262Topology Mapping and Locality - Part I of II10:55 AM-12:35 PMRoom:250 F

For Part 2 see MS287 This two part minisymposium focuses on topology mapping to improve locality and computational performance, an important issue that will become crucial as system size continues to increase. Specifically we look at the assignment of tasks to allocated processors for an application. In this first part, speakers will present results for algorithms to improve geometric task mapping, locality for sparse unstructured communication patterns, application performance using dynamic monitoring, and data management. In the second part, speakers will present results for graph models and dragonfly networks.

Organizer: Vitus LeungSandia National Laboratories, USA

Organizer: Torsten HoeflerUniversity of Illinois, USA

10:55-11:15 Local Search to Improve Geometric Task MappingVitus Leung, Sandia National Laboratories,

USA; David Bunde, Knox College, USA

11:20-11:40 Demonstrating Improved Application Performance Using Dynamic Monitoring and Task MappingAnn Gentile, James Brandt, Karen D.

Devine, and Kevin Pedretti, Sandia National Laboratories, USA

11:45-12:05 Locality for Sparse Unstructured Communication PatternsOzan Tuncer, Boston University, USA; Vitus

Leung, Sandia National Laboratories, USA; Ayse Coskun, Boston University, USA

12:10-12:30 Topology Aware Process Placement and Data ManagementEmmanuel Jeannot, INRIA, France

11:45-12:05 Parareal Library for Time-Dependent PDEs in Medical ApplicationsAndreas Kreienbuehl, University of Lugano,

Switzerland; Arne Naegel, Goethe University Frankfurt, Germany; Daniel Ruprecht, Universita’ della Svizzera Italiana, Italy; Robert Speck, Jülich Supercomputing Centre, Germany; Gabriel Wittum, Goethe University Frankfurt, Germany; Rolf Krause, University of Lugano, Switzerland

12:10-12:30 A Posteriori Analysis of the Parareal Algorithm: Efficient Resource Allocation and Convergence CriteriaJehanzeb H. Chaudhry, Florida State

University, USA; Don Estep and Simon Tavener, Colorado State University, USA

Wednesday, March 18

MS261Parallel Methods for Time Integration - Part I of II10:55 AM-12:35 PMRoom:250 E

For Part 2 see MS286 Current trends in supercomputing are leading towards systems with more, but not faster, processors. Therefore, faster compute speeds must come from greater parallelism and this leads to a bottleneck for sequential time integration. Given this situation, interest in achieving parallelism in time has substantially increased in the past decade. A goal of this minisymposium is to survey the breadth of this emerging field and to detail recent advances. Eight talks are featured which bring together experts on four of the most popular current approaches: parareal, spectral deferred correction, multigrid reduction in time and the asymptotic parallel-in-time approach.

Organizer: Jacob B. SchroderLawrence Livermore National Laboratory, USA

Organizer: Ronald HaynesMemorial University, Newfoundland, Canada

Organizer: Scott MaclachlanTufts University, USA

10:55-11:15 An Overview of the Multigrid Reduction in Time (MGRIT) MethodStephanie Friedhoff, Katholieke Universiteit

Leuven, Belgium

11:20-11:40 Multigrid Reduction in Time (MGRIT): A Flexible and Non-Intrusive MethodJacob B. Schroder, Robert Falgout, Ulrike

Meier Yang, Tzanio V. Kolev, and Veselin Dobrev, Lawrence Livermore National Laboratory, USA; Stephanie Friedhoff, Katholieke Universiteit Leuven, Belgium; Scott Maclachlan, Tufts University, USA



11:45-12:05 Sample-based Low-rank Methods for Tensor-structured Parametric EquationsLoïc Giraldi, Anthony Nouy, and Olivier

Zahm, Ecole Centrale de Nantes, France

12:10-12:30 Inverse Subspace Iteration for Spectral Stochastic Finite Element MethodsBedrich Sousedik, University of Maryland,

Baltimore County, USA; Howard C. Elman, University of Maryland, College Park, USA

Wednesday, March 18

MS264Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part IV of V10:55 AM-12:35 PMRoom:251 B




10:55-11:15 A Low-Rank Approximation Method for High-Dimensional Uncertainty QuantificationAlireza Doostan, University of Colorado

Boulder, USA; Dongbin Xiu, University of Utah, USA; Akil Narayan, University of Massachusetts, Dartmouth, USA; Hillary Fairbanks, University of Colorado Boulder, USA

11:20-11:40 Bayesian Compressive Sensing Framework for High-Dimensional Surrogate ConstructionKhachik Sargsyan, Cosmin Safta, Bert J.

Debusschere, and Habib N. Najm, Sandia National Laboratories, USA

Wednesday, March 18

MS263Hydrodynamics at Small Scales - Part I of II10:55 AM-12:35 PMRoom:251 A

For Part 2 see MS288 With the increased interest in nano- and micro-fluidics, as well as biological systems, it has become necessary to develop tools for hydrodynamic calculations at microscopic and mesoscopic scales. This minisymposium will focus on advances in multiscale numerical methods for simulating flows at mesoscopic scales. Of particular interest will be fluctuating hydrodynamics of complex fluids such as reactive mixtures, colloidal passive and active suspensions, and multi-phase fluids. Issues to be discussed will include the inclusion of thermal fluctuations in analytical and computational models, as well as applications in the physical sciences, biology, and engineering.

Organizer: Aleksandar DonevCourant Institute of Mathematical Sciences, New York University, USA

10:55-11:15 Fluctuating Hydrodynamic from the Theory of Coarse-GrainingPep Español, Universidad Nacional de

Educación a Distancia, Spain

11:20-11:40 Fluctuating Hydrodynamics of Reactive Multispecies MixturesJohn B. Bell, Lawrence Berkeley National

Laboratory, USA

11:45-12:05 Modeling Multi-Phase Flow Using Fluctuating HydrodynamicsAnuj Chaudhri and John B. Bell, Lawrence

Berkeley National Laboratory, USA; Alejandro Garcia, San Jose State University, USA; Aleksandar Donev, Courant Institute of Mathematical Sciences, New York University, USA

12:10-12:30 Temporal Integrators for Fluctuating HydrodynamicsSteven D. Delong, Eric Vanden-Eijnden,

and Aleksandar Donev, Courant Institute of Mathematical Sciences, New York University, USA



Wednesday, March 18

MS267Inverse Problems and Data Assimilation - Part V of VI10:55 AM-12:35 PMRoom:251 E

For Part 4 see MS243 For Part 6 see MS292 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to: 1) deterministic and statistical approaches to inversion problems and data assimilation; 2) reduced order modeling inversion framework; 3) treatment of nonlinear and non-smooth processes; 4) sensitivity analysis and its application to adaptive (targeting) observation; 5) operational data assimilation systems; 6) uncertainties impact studies; 7) automatic tools to support inversion and data assimilation methodologies.





10:55-11:15 Model Reduction and Sensor Placement in a Feedback Flow Control ProblemJeff Borggaard, Serkan Gugercin, and

Lizette Zietsman, Virginia Tech, USA

11:20-11:40 Goal-Based Rom Adjoint for Optimal Sensor Locations and Data AssimilationFangxin Fang and Christopher Pain,

Imperial College London, United Kingdom; Ionel M. Navon, Florida State University, USA; Zhizhao Che, Andrew G. Buchan, Pavlidis Dimitrios, and Dunhui Xiao, Imperial College London, United Kingdom

Wednesday, March 18

MS266Randomized Algorithms in Numerical Linear Algebra - Part I of II10:55 AM-12:35 PMRoom:251 D

For Part 2 see MS291 Recent work on developing randomized matrix algorithms has led to the high-quality numerical implementations that can outperform deterministic methods while still providing very accurate results. This minisymposium will present randomized algorithms and software that enhance numerical linear algebra computations. The speakers will describe how randomized algorithms can accelerate general or structured matrix computations. The applications will include the computation of low-rank approximations, preconditioning for stochastic gradient algorithms, principal component analysis, random butterfly transformations in sparse linear systems, randomized HSS compressions and fast generation of random matrices.

Organizer: Marc BaboulinINRIA/University of Paris-Sud, France

Organizer: Jack J. DongarraUniversity of Tennessee, Knoxville, USA

Organizer: Xiaoye Sherry LiLawrence Berkeley National Laboratory, USA

10:55-11:15 Online Principal Component AnalysisChristos Boutsidis, Yahoo! Labs, Santa

Clara, USA

11:20-11:40 Implementation of a Fast Multifrontal Solver Using Randomized HSS CompressionPieter Ghysels, Francois-Henry Rouet, and

Xiaoye Sherry Li, Lawrence Berkeley National Laboratory, USA

11:45-12:05 Deterministic and Randomized CUR and Nystrom ApproximationsIlse Ipsen, North Carolina State University,

USA

12:10-12:30 Fast Generation of Random Orthogonal MatricesAmal Khabou, Francoise Tisseur, and

Nicholas J. Higham, University of Manchester, United Kingdom

Wednesday, March 18

MS265A New Class of Finite Element Methods: Weak Galerkin Methods - Part I of II10:55 AM-12:35 PMRoom:251 C

For Part 2 see MS290 A new class of finite element methods, called weak Galerkin (WG) methods, were recently introduced by Wang and Ye for some model PDEs with appropriately defined variational formulations. The WGFEMs, by design, make use of discontinuous piecewise polynomials on finite element partitions with arbitrary shape of polygons and polyhedrons. The WGFEMs have the flexibility in handling complex geometry and low regularity solutions, the simplicity in analyzing real-world physical problems and the symmetry in reformulating the original PDEs. The minisymposium aims to bring together researchers to exchange ideas on development of WGFEMs and its applications. The minisymposium pays a particular attention to attract female participants, graduate students, postdocs and junior faculty members.

Organizer: James LiuColorado State University, USA

10:55-11:15 Weak Galerkin Methods for Partial Differential EquationsXiu Ye, University of Arkansas at Little

Rock, USA

11:20-11:40 Computational Aspects of Weak Galerkin MethodsLin Mu, Michigan State University, USA

11:45-12:05 Weak Galerkin Methods for Linear Elasticity ProblemsShangyou Zhang, University of Delaware,

USA

12:10-12:30 Title Not Available at Time of PublicationMark Burg, Texas A&M University, USA



11:20-11:40 A New Atmospheric Dynamic Core using 4th Order Flux Reconstruction Method with WENO LimitingXingliang Li, China Meteorological

Administration, China; Ziyao Sun and Feng Xiao, Tokyo Institute of Technology, Japan; Chungang Chen, Xi’an Jiaotong University, P.R. China; Xueshun Shen, China Meteorological Administration, China; Ming Xue, University of Oklahoma, USA

11:45-12:05 Higher Order Finite Volume Approximations of the Inviscid Primitive Equations in a Complex DomainGung-Min Gie, University of Louisville,

USA; Arthur Bousquet, YoungJoon Hong, and Roger M. Temam, Indiana University, USA

12:10-12:30 Title Not Available at Time of PublicationYau Shu Wong, University of Alberta,

Canada

Wednesday, March 18

MS268Mathematical and Physical Properties of Numerical Schemes for Complex Dynamical Systems - Part I of II10:55 AM-12:35 PMRoom:251 F

For Part 2 see MS293 Stability and convergence are fundamental issues in the study of numerical algorithms. Another important aspect is their capability of mimicking certain physical properties of the target continuous system, such as energy conversion, or tracer transport. In this minisymposium, researchers from different areas in applied and computational mathematics are invited to present their latest results in studies of numerical schemes for complex dynamical system. Finite difference and finite volume schemes are of primary interests here, but finite element methods may also be included. Application areas include but are not limited to aeroelasticity, classical fluid dynamics, and geophysical fluid dynamics.

Organizer: Qingshan ChenClemson University, USA

Organizer: Gung-Min GieUniversity of Louisville, USA

10:55-11:15 Numerical Weather Prediction in Two Dimensions with Topography, using a Finite Volume MethodRoger M. Temam and Arthur Bousquet,

Indiana University, USA; Mickael Chekroun, University of California, Los Angeles, USA; YoungJoon Hong, Indiana University, USA; Joseph J. Tribbia, National Center for Atmospheric Research, USA

11:45-12:05 Reduced Order Modelling (rom) of the Navier-Stokes Equations for 3D Free Surface FlowsDunhui Xiao, Fangxin Fang, Christopher

Pain, and Andrew G. Buchan, Imperial College London, United Kingdom; Ionel M. Navon, Florida State University, USA

12:10-12:30 Optimized Reduced Order Modeling and Data Assimilation for Hydrodynamics with Large Time Step ObservationsDiana Bistrian, Politechnic University of

Timisoara, Romania; Ionel M. Navon, Florida State University, USA



Wednesday, March 18

MS271Advances in Computational Methods for MHD and Multi-Fluid Models of Plasma - Part I of II10:55 AM-12:35 PMRoom:254 C

For Part 2 see MS295 Plasmas are ionized gases that appear in a wide range of applications including astrophysics and space physics, as well as in laboratory settings such as in magnetically confined fusion. Modeling and understanding the basic phenomenon in plasma have long been topics in applied mathematics, yet many problems remain far too numerically intensive for modern parallel computers. The main difficulty is that plasmas span a wide range of spatial and temporal scales, requiring a wide array of computational mathematics tools. This minisymposium aims to describe recent advances in the development of numerical methods and computational frameworks for the numerical solution of the magnetohydrodynamics (MHD) equations and other multi-fluid plasma physics models.

Organizer: James A. RossmanithIowa State University, USA

Organizer: Lucian IvanUniversity of Waterloo, Canada


10:55-11:15 Globally Divergence-Free Projection Methods for Ideal MagnetohydrodynamicsJames A. Rossmanith, Iowa State University,

USA

11:20-11:40 Block Adaptive MHD Simulations for Solar Coronal DynamicsRony Keppens, Katholieke Universiteit

Leuven, Belgium

11:45-12:05 Positivity-Preserving Weno Schemes with Constrained Transport for Ideal MHDQi Tang, Michigan State University, USA

12:10-12:30 Multi-Fluid Plasma Modeling Through the Collisional Transition RegimeUri Shumlak, Andrew Ho, Robert Lilly, Sean

Miller, Noah F. Reddell, and Eder Sousa, University of Washington, USA

Wednesday, March 18

MS270Flooding the Cores - Computing Flooding Events with Many-Core and Accelerator Technologies - Part I of II10:55 AM-12:35 PMRoom:254 B

For Part 2 see MS294 Detailed simulation of flooding events, such as in storm surges, tsunamis or rain floods, requires substantial computing power and literally floods the computer with job tasks. Relevant supercomputing technology, on the other hand, is characterized by an increasing amount of parallelism on all scales. Hence, numerical methods, algorithms and software need to be tuned for data parallelism, many-core compute nodes (including accelerator technology) and large-scale parallelism. This minisymposium thus focuses on approaches to reduce time to solution for simulating complex flooding events on supercomputers and architectures characterized by many-core and accelerator technologies, in particular GPUs and Xeon Phis.

Organizer: Kyle T. MandliColumbia University, USA

Organizer: Michael BaderTU München, Germany

Organizer: Tobias WeinzierlDurham University, United Kingdom

10:55-11:15 Parallelization Techniques for Tsunami Simulation Using Space-Fillig-Curve OrdersMichael Bader and Oliver Meister, TU

München, Germany

11:20-11:40 QuickSched - Using Tasks for Massively Parallel Hybrid Shared/distributed Memory ComputingPedro Gonnet, University of Oxford, United

Kingdom

11:45-12:05 Understanding Tsunami and Hurricane Deposits with a Mess-Scale Model for Sediment DynamicsRobert Weiss and Wei Cheng, Virginia Tech,

USA

12:10-12:30 A Patchwork Family - Task Distribution Patterns for Shallow Water Equations on Patch-structured AMR GridsTobias Weinzierl, Durham University, United

Kingdom

Wednesday, March 18

MS269Optimization Algorithms for Power Grid Expansion, Transmission, and Contingency Analysis10:55 AM-12:35 PMRoom:254 A

Next generation power grid requires new mathematics and tailored optimization algorithms. This minisymposium covers four different aspects of decision-making process in power grid, namely, the expansion investment, economic dispatch, transmission scheduling, and contingency analysis. We bring together experts with the goal of presenting recent advances in these areas. Talks are organized with the emphasis on the role of computational tools and optimization algorithms in the development of next generation power grid.

Organizer: Fu LinArgonne National Laboratory, USA


Organizer: Todd MunsonArgonne National Laboratory, USA

10:55-11:15 Decomposition Algorithms for Transmission and Generation Investment PlanningFrancisco Munoz and Jean-Paul Watson,


11:20-11:40 Moment-Based Relaxations of the Optimal Power Flow ProblemDaniel Molzahn and Ian Hiskens, University

of Michigan, USA

11:45-12:05 Computational Study of Security-Constrained Economic Dispatch with Multi-Stage ReschedulingYanchao Liu, University of Wisconsin,

Madison, USA; Michael C. Ferris, University of Wisconsin, USA; Feng Zhao, ISO New England, USA

12:10-12:30 Towards Efficient N-x Contingency Selection Using Group Betweenness CentralityMahantesh Halappanavar, Yousu Chen,

and Zhenyu Huang, Pacific Northwest National Laboratory, USA


Wednesday, March 18

MS274Models and Algorithms for Engineering Optimization Under Uncertainty - Part I of II10:55 AM-12:35 PMRoom:258

For Part 2 see MS298 Engineering optimization problems are often constrained by large-scale simulations of physical systems. In many applications, the parameters and inputs characterizing the physical system are unknown or estimated from data. When solving such optimization problems, it is not only important to accurately characterize the uncertainty and incorporate it in the optimization formulation, but to also determine optimal solutions that are robust or risk-averse to this uncertainty. This minisymposium presents novel risk models and efficient algorithms for the treatment of uncertainty in engineering optimization problems.

Organizer: Bart G. Van Bloemen WaandersSandia National Laboratories, USA

Organizer: Drew P. KouriSandia National Laboratories, USA

10:55-11:15 Integration of Approximate Schur Preconditioners and SQP Algorithms for Nonlinear PDE Optimization under UncertaintyDenis Ridzal, Drew P. Kouri, and Bart G.

Van Bloemen Waanders, Sandia National Laboratories, USA

11:20-11:40 Stochastic Reduced-Order Models in Optimization and Inverse ProblemsWilkins Aquino, Duke University, USA;

James Warner, NASA Langley Research Center, USA; Mircea Grigoriu, Cornell University, USA

11:45-12:05 Scalable Algorithms for Optimal Control of Systems Governed by PDEs under UncertaintyAlen Alexanderian, University of Texas at

Austin, USA; Noemi Petra, University of California, Merced, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA

Wednesday, March 18

MS273Algorithms for the Eigenvalue Problem in Electronic Structure Computations - Part I of II10:55 AM-12:35 PMRoom:150 DE

For Part 2 see MS297 The electronic structure of complex quantum mechanical systems is determined by the solution of a large number of one-dimensional non-linearly coupled Schrodinger equations. Upon discretization this set of equations translates into Hermitian symmetric eigenvalue problems. Due to the many existing discretization schemes eigenproblems come in many flavours and their solution requires a multidisciplinary approach. This minisymposium addresses the eigenproblems heterogeneity in connection with the rich variety of algorithms and implementations which are used to solve them. The ultimate goal is to make computational physicists and computer scientists aware of the current status of research and scientific advancement.

Organizer: Edoardo A. Di NapoliJülich Supercomputing Centre, Germany


Organizer: Yousef SaadUniversity of Minnesota, USA

10:55-11:15 Planning the Next Generation of Electronic Structure CodesJames R. Chelikowsky, University of Texas at

Austin, USA

11:20-11:40 Updating Strategies for Efficient Large-Scale Electronic Structure CalculationsRoland Wittmann and Thomas K. Huckle,


11:45-12:05 A Projected Preconditioned Conjugate Gradient Algorithm for Eigenvalue CalculationChao Yang and Eugene Vecharynski,

Lawrence Berkeley National Laboratory, USA; John Pask, Lawrence Livermore National Laboratory, USA

12:10-12:30 Ongoing Developments in BigDFT towards the ab-initio Computation of Resonant StatesAlessandro Cerioni, Université Grenoble,

France; Luigi Genovese, Thierry Deutsch, Ivan Duchemin, and Maxime Moriniere, CEA, France

Wednesday, March 18

MS272Recent Advances in High Order Finite Element Methods for Atmospheric Sciences - Part I of II10:55 AM-12:35 PMRoom:150 AB

For Part 2 see MS296 Global and regional models are heavily used for weather forecasting, policy decisions and as compact laboratories for improving our scientific understanding of the Earth system. The next generation of numerical methods will soon be used for answering pressing questions on global/regional scale interactions, extreme events, and regional scale climate change. This minisymposium focuses on the latest advanced developments in high(er) order finite element methods including Discontinuous Galerkin,and high order finite volume methods. The speakers will address theoretical and computational issues such as stability, optimal order convergence, sparse discretization, parallel implementation, (hp)-adaptivity, large-scale problems and efficient implementations.

Organizer: Paul UllrichUniversity of California, Davis, USA


10:55-11:15 Tempest: Efficient Computation of Atmospheric Flows Using High-Order Local Discretization MethodsPaul Ullrich, University of California, Davis,

USA

11:20-11:40 Vertical Discretization of Geophysical Flows with the Hybrid Finite Element Method - Normal Mode and Wave Dispersion PropertiesJorge E. Guerra and Paul Ullrich, University

of California, Davis, USA

11:45-12:05 Toward Exa-Scale Computing in CAM-SEDavid M. Hall and Henry Tufo, University

of Colorado Boulder, USA

12:10-12:30 A High-Order Global Discontinuous Galerkin Non-Hydrostatic Atmospheric Model Using Hevi Time Integration SchemeRam Nair, National Center for Atmospheric

Research, USA; Lei Bao, University of Colorado Boulder, USA



Wednesday, March 18

MS276Advances in Compressed Sensing and Structured Sparse Representations - Part I of II10:55 AM-12:35 PMRoom:260 A

For Part 2 see MS300 The goal of this minisymposium is to present recent progress on models and algorithms for compressed sensing that go beyond the traditional sparsity setting. It has long been acknowledged that many practical applications of compressed sensing - ranging from medical sciences to optical imaging and wireless communications - possess substantially more structure than sparsity alone. Leveraging such structure presents significant challenges in both the construction of measurements (e.g. using tools from communications and optimization) and the design of new, often probabilistic, algorithms. This minisymposium will bring together leading experts in the field to latest research into these vital questions.

Organizer: Ben AdcockSimon Fraser University, Canada

Organizer: Anders HansenUniversity of Cambridge, United Kingdom

10:55-11:15 Statistical Methods in Compressive Sensing: Theory and ExperimentLarry Carin, Duke University, USA

11:20-11:40 Model-Based Sketching and Recovery with ExpandersLuca Baldassarre and Volkan Cevher, École

Polytechnique Fédérale de Lausanne, Switzerland

11:45-12:05 Performance Limits of Ideal Decoders in Linear Inverse ProblemsAnthony Bourrier, Gipsa-Lab, France

12:10-12:30 Practical Compressed Sensing: On Asymptotic StructureBogdan Roman, University of Cambridge,

United Kingdom

Wednesday, March 18

MS275Preconditioners for Sparse Least Squares10:55 AM-12:35 PMRoom:259

It’s natural to extend concepts and techniques used to solve sparse linear systems to solving linear least squares problems. This minisymposium brings together interested researchers with a variety of approaches. For the overdetermined case, we use iteration methods, e.g. conjugate gradient, improving conditioning of the iterative system by LU factorization and partial orthogonalization, tolerance for which depends on estimated conditioning of L. For the over- and underdetermined case, Krylov methods and inner iteration are successfully employed. Recursive multilevel techniques can improve efficiency. Finally, we explore some relevant theory of the conjugate gradient method.

Organizer: Gary W. HowellNorth Carolina State University, USA

10:55-11:15 A Recursive Multilevel Approximate Inverse-Based Preconditioner for Solving General Linear SystemsBruno Carpentieri, University of Groningen,

Netherlands

11:20-11:40 Krylov Subspace Methods Preconditioned by Inner Iterations for Rank-Deficient Least Squares ProblemsKeiichi Morikuni and Miroslav Rozloznik,

Czech Academy of Sciences, Czech Republic; Ken Hayami, National Institute of Informatics, Japan

11:45-12:05 Global Adaptive Dropping in Incomplete FactorizationsMiroslav Tuma, Academy of Sciences of the

Czech Republic, Prague, Czech Republic; Jiri Kopal, Technical University of Liberec, Czech Republic; Miro Rozloznik, Academy of Sciences of the Czech Republic, Prague, Czech Republic

12:10-12:30 Recursive Multilevel Approximate Inverse-Based PreconditioningYiming Bu, University of Electronic Science

and Technology of China, China, and University of Groningen, Netherlands; Bruno Carpentieri, University of Groningen, Netherlands

Wednesday, March 18

MS274Models and Algorithms for Engineering Optimization Under Uncertainty - Part I of IIcontinued

12:10-12:30 A Scalable Compositional Approach to Uncertainty Quantification for the Optimization under Uncertainty of Multi-physics SystemsDoug Allaire, Texas A&M University, USA;

Sergio Amaral, Massachusetts Institute of Technology, USA; Kaiyu Li, Texas A&M University, USA; Karen E. Willcox, Massachusetts Institute of Technology, USA


Wednesday, March 18

MS279Co-Design with Proxy Applications: Results and Experiences - Part I of II10:55 AM-12:35 PMRoom:151 G

For Part 2 see MS304 Effective use of computing environments for scientific and engineering applications is determined by a combination issues throughout the codesign space: hardware, runtime environment, programming models, languages and compilers, algorithm choice and implementation, and more. Our focus is on applications that are large and complex, applying multi-physics at multi-scale, often with source code distribution constraints. Application proxies enable a language for codesign, providing a collaborative tool for exploring large-scale high performance scientific computation. Presentations in this minisymposium will describe experiences using proxies to explore key issues in computational science, providing examples across the codesign spectrum.

Organizer: Richard BarrettSandia National Laboratories, USA

Organizer: Charles (Bert) H. StillLawrence Livermore National Laboratory, USA

10:55-11:15 Co-Design Studies Using Mini-Multifluid-PpmPaul R. Woodward, University of Minnesota,

USA

11:20-11:40 Multi-Material ALE in the Blast CodeVladimir Tomov, Lawrence Livermore


11:45-12:05 The -Nabla Time-Composite Approach for Multi-Physics Applications ProductivityJean-Sylvain Camier, CEA, France

12:10-12:30 Overview Co-Design at the DOE NNSA TrilabsRichard Barrett, Sandia National

Laboratories, USA


Wednesday, March 18

MS278Advances in Time-Domain Boundary Integral Equations - Part I of II10:55 AM-12:35 PMRoom:151 DE

For Part 2 see MS303 In recent years there has been an increasing interest in understanding and enhancing the simulation of linear evolution equations (transient waves, Stokes flow, and diffusion) using boundary integral equation (BIE) methods. This minisymposium brings together researchers in the field of time-domain BIE to enhance relationships and to discuss current progress and future trends in theory, computation and advanced applications. A very wide range of topics are covered such as fast methods, stable time-stepping strategies (marching-on-in-time and convolution quadrature), well- posedness, and new applications in electromagnetism, acoustics, elastodynamics, and heat diffusion.

Organizer: Nicolas SallesUniversity College London, United Kingdom

Organizer: Francisco J. J. SayasUniversity of Delaware, USA

10:55-11:15 An Exponentially Convergent Convolution Quadrature Method for Time-Domain Boundary Integral EquationsNicolas Salles and Timo Betcke, University

College London, United Kingdom

11:20-11:40 Adaptive Time Domain Boundary Element Methods (TD-BEM) for Scattering ProblemsMatthias Maischak and Matthias Gläfke,

Brunel University, United Kingdom

11:45-12:05 Fast Galerkin Method for Parabolic Space-Time Boundary Integral EquationsJohannes Tausch, Southern Methodist

University, USA

12:10-12:30 Convolution Quadrature Discretization of Volume Integral EquationsPeter B. Monk, University of Delaware, USA

Wednesday, March 18

MS277Computational Techniques for Wave Equations in Second Order Form - Part I of II10:55 AM-12:35 PMRoom:260 B

For Part 2 see MS301 Many wave systems are most naturally written in second order form. First order reformulations, though possible, typically require additional constraints and more variables. Despite this fact, the theory of efficient time-domain discretization schemes is better developed in the first order case. Speakers in this minisymposium will discuss the generalization of concepts such as upwinding which are familiar for first order systems, as well as more traditional methods which leverage special features of second order formulations. In addition, special techniques for treating high frequency waves and random media as well as applications to complex physical phenomena will be considered.

Organizer: Thomas M. HagstromSouthern Methodist University, USA

Organizer: Daniel AppeloUniversity of New Mexico, USA

10:55-11:15 The Double Absorbing Boundary Formulation of Complete Radiation Boundary ConditionsThomas M. Hagstrom, Southern Methodist

University, USA

11:20-11:40 Performance Analysis of High-Order Discontinuous Galerkin Methods for First and Second Order Formulation of the Wave EquationJulien Diaz, INRIA Bordeaux Sud-Ouest,

France

11:45-12:05 Second-Order Wave Equation with Uncertain Parameters: Analysis and ComputationMohammed Motamed, University of New

Mexico, USA

12:10-12:30 Optimal Energy Conserving Local Discontinuous Galerkin Methods for Second-Order Wave Equation in Heterogeneous MediaChing-Shan Chou, The Ohio State

University, USA

Δ


Wednesday, March 18

MS282Recent Advances in Numerical Methods for Interface Problems - Part IV of IV2:00 PM-3:40 PMRoom:250 A

For Part 3 see MS257 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.



2:00-2:20 Surfactant Driven Tipstreaming in a Flow Focusing GeometryJacek Wrobel, Tulane University, USA;

Michael Siegel and Michael R. Booty, New Jersey Institute of Technology, USA

2:25-2:45 Immersed Finite Element Methods with Enhanced StabilityXu Zhang, Purdue University, USA; Tao Lin,

Virginia Tech, USA

2:50-3:10 A Finite Element Method for a Stokes Interface ProblemManuel A. Sanchez-Uribe, Brown University,

USA

3:15-3:35 A Low-dimensional Approximation to the Stochastic Elliptic Interface ProblemJu Ming, Beijing Computational Science

Research Center, China

Wednesday, March 18

MS281Distributed Cyber-Physical Systems: Modelling and Controlling the Power Grid - Part II of II2:00 PM-3:40 PMRoom:355 A

For Part 1 see MS256 The Power Grid is a geographically distributed cyber-physical system, and its system complexity and the volume of data associated with it are growing. The speakers in the minisymposium will address recent advances in algorithms that accelerate the performance of software tools developed to model, optimize, and control the Grid.

Organizer: Alex PothenPurdue University, USA

Organizer: Vaithianathan VenkatasubramanianWashington State University, USA

Organizer: Mahantesh HalappanavarPacific Northwest National Laboratory, USA

2:00-2:20 Exploring State Estimation Techniques to Accommodate non-Gaussian NoisesZhenyu Huang, Pacific Northwest National

Laboratory, USA; Ning Zhou, Binghamton University, USA; Mihai Anitescu, Argonne National Laboratory, USA; Shaobu Wang, Pacific Northwest National Laboratory, USA

2:25-2:45 Efficient Algorithms for N-x Contingency Analysis for Power GridsAlex Pothen and Yu-Hong Yeung,

Purdue University, USA; Mahantesh Halappanavar and Zhengyu Huang, Pacific Northwest National Laboratory, USA

2:50-3:10 Policy-switching Schemes for Power System ProtectionRich Meier, Jesse Hostetler, Eduardo

Cotilla-Sanchez, and Alan Fern, Oregon State University, USA

3:15-3:35 Singular Values and Convex Programming for Power System Synchrophasor Data ManagementJoe Chow and Meng Wang, Rensselaer


Wednesday, March 18

MS280Modeling Across the Curriculum2:00 PM-3:40 PMRoom:355

The second SIAM-NSF Workshop on Modeling across the curriculum (January, 2014) will be described, and an introduction to the report will be presented, together with some more recent progress. The meeting represented a more focused follow up to the 2012 workshop. The primary themes related to developing courses, programs, curricula, materials and training for a stronger emphasis on modeling and applied and computational mathematics in the early grades, middle and high school, and undergraduate programs. The intention is that presentations will be short to allow time for discussion.


2:00-2:20 Modeling Across the Curriculum: Introduction and OverviewPeter R. Turner, Clarkson University, USA

2:25-2:45 Mathematical Modeling in the Early GradesRachel Levy, Harvey Mudd College, USA

2:50-3:10 Applied and Computational Mathematics at the High School LevelKatherine Socha, The Park School of

Baltimore, USA; Kathleen Fowler, Clarkson University, USA

3:15-3:35 Modeling Across the Undergraduate CurriculumJeffrey Humpherys, Brigham Young

University, USA


Wednesday, March 18

MS284Parallel, Multiscale, Multiphysics Simulation Using MOOSE - Part II of II2:00 PM-3:40 PMRoom:250 C

For Part 1 see MS259 The Idaho National Laboratory (INL)-developed Multiphysics Object Oriented Simulation Environment (MOOSE; www.mooseframework.org), is an open-source, parallel computational platform that enables the solution of complex, fully-implicit multiphysics systems. MOOSE provides a set of computational tools that scientists and engineers can use to create sophisticated multiphysics simulations. Applications built using MOOSE have computed solutions for chemical reaction and transport equations, computational fluid dynamics, solid mechanics, heat conduction, mesoscale materials modeling, geomechanics, and others. This minisymposium highlights some of the recent results obtained using the MOOSE platform.

Organizer: Derek R. GastonIdaho National Laboratory, USA

Organizer: Andrew SlaughterIdaho National Laboratory, USA

2:00-2:20 Modeling Nuclear Fuel Behavior with BISONShane Stafford, Idaho National Laboratory,

USA

2:25-2:45 Low Mach and Two-Phase Flow Modeling with Moose ApplicationsJean C. Ragusa and Marco Delchini, Texas

A&M University, USA; Ray A. Berry, Idaho National Laboratory, USA

2:50-3:10 Multiphase Sub-Surface Flow Using MooseJonathan Ennis-King, CSIRO, Australia

3:15-3:35 Stabilization Methods for High Peclet Number Flows in Heterogeneous Porous MediaYidong Xia, Hai Huang, and Robert

Podgorney, Idaho National Laboratory, USA

2:50-3:10 Automatic Tuning for Parallel FFTs on GPU ClustersDaisuke Takahashi, University of Tsukuba,

Japan

3:15-3:35 Statistical Performance Modeling and Autotuning for Dense QR Factorization in Hybrid CPU-GPU SystemsRay-Bing Chen, National Cheng Kung

University, Taiwan; Yaohung Tsai and Weichung Wang, National Taiwan University, Taiwan

Wednesday, March 18

MS283Streamlining Application Performance Portability - Part II of II2:00 PM-3:40 PMRoom:250 B

For Part 1 see MS258 Achieving sustainable performance among different computer architectures often cannot be addressed with ingenuous combinations of compiler optimization options and manual rewriting. In contrast, auto-tuning (AT) technologies based, for example, on static modifications (typically pragmas), run-time optimizations, and source to source transformations have enabled sustained performance on a variety of computer architectures. As we move towards more complex computer architectures and higher levels of concurrency, AT is expected to play a major role in giving applications a gateway to performance portability. Of particular interest is the use of AT in the context of kernels that are the core of most large applications, including linear solvers, eigensolvers and stencil computations. In this minisymposium we will discuss AT frameworks and technologies, show examples of how they have been used in practice, and the corresponding performance gains.

Organizer: Toshiyuki ImamuraRIKEN, Japan

Organizer: Takahiro KatagiriUniversity of Tokyo, Japan

Organizer: Osni A. MarquesLawrence Berkeley National Laboratory, USA

2:00-2:20 Numerical Eigenvalue Engine towards Extreme-scale Computing EraToshiyuki Imamura, Takeshi Fukaya, and

Yusuke Hirota, RIKEN, Japan; Susumu Yamada and Masahiko Machida, Japan Atomic Energy Agency, Japan

2:25-2:45 Code Generation for Higher Level Spectral Methods with SpiralFranz Franchetti, Carnegie Mellon

University, USA



Wednesday, March 18

MS287Topology Mapping and Locality - Part II of II2:00 PM-3:40 PMRoom:250 F

For Part 1 see MS262 This two part minisymposium focuses on topology mapping to improve locality and computational performance, an important issue that will become crucial as system size continues to increase. Specifically we look at the assignment of tasks to allocated processors for an application. In this second part, speakers will present algorithms for graph models and dragonfly networks. In the first part, speakers will present results for algorithms to improve geometric task mapping, locality for sparse unstructured communication patterns, application performance using dynamic monitoring, and data management.

Organizer: Vitus LeungSandia National Laboratories, USA

Organizer: Torsten HoeflerUniversity of Illinois, USA

2:00-2:20 Process Mapping onto Complex Architectures and Partitions ThereofFrancois Pellegrini, University of Bordeaux,

France

2:25-2:45 Topology Aware Mapping using Graph Models for Exascale SystemsMehmet Deveci, The Ohio State University,

USA; Kamer Kaya, CERFACS, France; Umit V. Catalyurek, The Ohio State University, USA

2:50-3:10 Maximizing Throughput on a Dragonfly NetworkAbhinav Bhatele, Lawrence Livermore

National Laboratory, USA; Nikhil Jain, University of Illinois, USA; Xiang Ni and Laxmikant V Kale, University of Illinois at Urbana-Champaign, USA

Wednesday, March 18

MS286Parallel Methods for Time Integration - Part II of II2:00 PM-3:40 PMRoom:250 E

For Part 1 see MS261 Current trends in supercomputing are leading towards systems with more, but not faster, processors. Therefore, faster compute speeds must come from greater parallelism and this leads to a bottleneck for sequential time integration. Given this situation, interest in achieving parallelism in time has substantially increased in the past decade. A goal of this minisymposium is to survey the breadth of this emerging field and to detail recent advances. Eight talks are featured which bring together experts on four of the most popular current approaches: parareal, spectral deferred correction, multigrid reduction in time and the asymptotic parallel-in-time approach.

Organizer: Jacob B. SchroderLawrence Livermore National Laboratory, USA

Organizer: Ronald HaynesMemorial University, Newfoundland, Canada

Organizer: Scott MaclachlanTufts University, USA

2:00-2:20 Towards a Multigrid Perspective of MLSDCDieter Moser and Robert Speck, Jülich

Supercomputing Centre, Germany; Matthias Bolten, University of Wuppertal, Germany

2:25-2:45 An Adaptive Spectral Deferred Time Integrator for Vesicle SuspensionsBryan D. Quaife and George Biros,


2:50-3:10 Interweaving PFASST and Parallel MultigridMatthias Bolten, University of Wuppertal,

Germany; Michael Minion, Lawrence Berkeley National Laboratory, USA; Robert Speck, Jülich Supercomputing Centre, Germany; Matthew Emmett, Lawrence Berkeley National Laboratory, USA; Daniel Ruprecht, Universita’ della Svizzera Italiana, Italy

3:15-3:35 Parallel in Time Multigrid for Nonlinear EquationsBen O’Neill, University of Colorado

Boulder, USA

Wednesday, March 18

MS285Recent Advances in Model Reduction - Part V of V2:00 PM-3:40 PMRoom:250 D

For Part 4 see MS260 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high- dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.



2:00-2:20 Reassessing the Missing Point Estimation Model Order Reduction MethodJulien Cortial, Safran, Research &

Technology Center, France; Kevin T. Carlberg, Sandia National Laboratories, USA

2:25-2:45 Parsimonious Data Acquisition for Data-driven Model ReductionGeoffrey M. Oxberry, Lawrence Livermore


2:50-3:10 An Adaptive Parametrized-Background Data-Weak Approach to State Estimation; Application to Heat Transfer Companion ExperimentsTommaso Taddei, Masayuki Yano,

James Penn, and Anthony T. Patera, Massachusetts Institute of Technology, USA

3:15-3:35 Reduced Basis Methods for Variational InequalitiesSilke Glas, University of Ulm, Germany


3:15-3:35 High-Dimensional Hierarchical Uncertainty Quantification for Electronic SystemsZheng Zhang, Massachusetts Institute of

Technology, USA; Xiu Yang, Pacific Northwest National Laboratory, USA; George E. Karniadakis, Brown University, USA; Ivan Oseledets, Skolkovo Institute of Science and Technology, Russia; Luca Daniel, Massachusetts Institute of Technology, USA

Wednesday, March 18

MS289Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part V of V2:00 PM-3:40 PMRoom:251 B

For Part 4 see MS264 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of- the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.



2:00-2:20 Gaussian Processes in High-DimensionsIlias Bilionis, Purdue University, USA;

Nicholas Zabaras, Cornell University, USA

2:25-2:45 Adaptive Multivariate Interpolation Algorithm on Nested Grids and Its Application to Stochastic CollocationXueyu Zhu, Yeonjong Shin, and Dongbin

Xiu, University of Utah, USA

2:50-3:10 Numerical Solution for the High-Dimensional Joint Response-Excitation Pdf Evolution EquationsHeyrim Cho, Daniele Venturi, and George E.

Karniadakis, Brown University, USA

Wednesday, March 18

MS288Hydrodynamics at Small Scales - Part II of II2:00 PM-3:40 PMRoom:251 A

For Part 1 see MS263 With the increased interest in nano- and micro-fluidics, as well as biological systems, it has become necessary to develop tools for hydrodynamic calculations at microscopic and mesoscopic scales. This minisymposium will focus on advances in multiscale numerical methods for simulating flows at mesoscopic scales. Of particular interest will be fluctuating hydrodynamics of complex fluids such as reactive mixtures, colloidal passive and active suspensions, and multi-phase fluids. Issues to be discussed will include the inclusion of thermal fluctuations in analytical and computational models, as well as applications in the physical sciences, biology, and engineering.

Organizer: Aleksandar DonevCourant Institute of Mathematical Sciences, New York University, USA

2:00-2:20 Colloidal Dispersions Sheared at Constant PressureJohn F. Brady, California Institute of

Technology, USA

2:25-2:45 Fluctuating Hydrodynamics Methods for Soft MaterialsPaul J. Atzberger, University of California,

Santa Barbara, USA

2:50-3:10 An Immersed Boundary Method for Rigid BodiesBakytzhan Kallemov and Aleksandar

Donev, Courant Institute of Mathematical Sciences, New York University, USA; Boyce Griffith, University of North Carolina at Chapel Hill, USA; Amneet Bhalla, Courant Institute of Mathematical Sciences, New York University, USA

3:15-3:35 A Fluctuating Immersed Boundary Method for Brownian Suspensions of Rigid ParticlesAleksandar Donev and Bakytzhan Kallemov,

Courant Institute of Mathematical Sciences, New York University, USA; Boyce Griffith, University of North Carolina at Chapel Hill, USA; Steven D. Delong, Courant Institute of Mathematical Sciences, New York University, USA



Wednesday, March 18

MS292Inverse Problems and Data Assimilation - Part VI of VI2:00 PM-3:40 PMRoom:251 E

For Part 5 see MS267 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to: 1) deterministic and statistical approaches to inversion problems and data assimilation;











2:00-2:20 Challenges in Assimilation of PM2.5 Observations for Air Pollution ForecastJiang JZhu, Chinese Academy of Sciences,

China

2:25-2:45 Inversion of Geothermal Heat Flux in a Thermomechanically Coupled Nonlinear Stokes Ice Sheet ModelHongyu Zhu, University of Texas at Austin,

USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Noemi Petra, University of California, Merced, USA; Toby Isaac, Omar Ghattas, and Thomas Hughes, University of Texas at Austin, USA

Wednesday, March 18

MS291Randomized Algorithms in Numerical Linear Algebra - Part II of II2:00 PM-3:40 PMRoom:251 D

For Part 1 see MS266 Recent work on developing randomized matrix algorithms has led to the high-quality numerical implementations that can outperform deterministic methods while still providing very accurate results. This minisymposium will present randomized algorithms and software that enhance numerical linear algebra computations. The speakers will describe how randomized algorithms can accelerate general or structured matrix computations. The applications will include the computation of low-rank approximations, preconditioning for stochastic gradient algorithms, principal component analysis, random butterfly transformations in sparse linear systems, randomized HSS compressions and fast generation of random matrices.

Organizer: Marc BaboulinINRIA/University of Paris-Sud, France

Organizer: Jack J. DongarraUniversity of Tennessee, Knoxville, USA

Organizer: Xiaoye Sherry LiLawrence Berkeley National Laboratory, USA

2:00-2:20 Preconditioning Stochastic Gradient Algorithms with Randomized Linear AlgebraMichael Mahoney, University of California,

Berkeley, USA

2:25-2:45 Randomized Methods for Accelerating Structured Matrix ComputationsGunnar Martinsson, University of Colorado

Boulder, USA

2:50-3:10 Using Random Butterfly Transformations to Avoid Pivoting in Sparse Direct MethodsFrancois-Henry Rouet and Xiaoye Sherry Li,

Lawrence Berkeley National Laboratory, USA; Marc Baboulin, INRIA/University of Paris-Sud, France

3:15-3:35 Performance of Computing Low-Rank Approximation on Hybrid CPU/GPU ArchitecturesIchitaro Yamazaki, University of Tennessee,

Knoxville, USA; Theo Mary, Universite de Toulouse, France; Jakub Kurzak, Stanimire Tomov, and Jack J. Dongarra, University of Tennessee, Knoxville, USA

Wednesday, March 18

MS290A New Class of Finite Element Methods: Weak Galerkin Methods - Part II of II2:00 PM-3:40 PMRoom:251 C

For Part 1 see MS265 A new class of finite element methods, called weak Galerkin (WG) methods, were recently introduced by Wang and Ye for some model PDEs with appropriately defined variational formulations. The WGFEMs, by design, make use of discontinuous piecewise polynomials on finite element partitions with arbitrary shape of polygons and polyhedrons. The WGFEMs have the flexibility in handling complex geometry and low regularity solutions, the simplicity in analyzing real-world physical problems and the symmetry in reformulating the original PDEs. The minisymposium aims to bring together researchers to exchange ideas on development of WGFEMs and its applications. The minisymposium pays a particular attention to attract female participants, graduate students, postdocs and junior faculty members.

Organizer: James LiuColorado State University, USA

2:00-2:20 Multiscale Weak Galerkin MethodsYalchin Efendiev, Texas A&M University,

USA

2:25-2:45 Overview of Weak Galerkin MethodsJunping Wang, National Science Foundation,

USA

2:50-3:10 BDDC Domain Decomposition for Weak Galerkin MethodsXuemin Tu, University of Kansas, USA

3:15-3:35 Title Not Available at Time of PublicationYanqiu Wang, Oklahoma State University,

USA



Wednesday, March 18

MS294Flooding the Cores - Computing Flooding Events with Many-Core and Accelerator Technologies - Part II of II2:00 PM-3:40 PMRoom:254 B

For Part 1 see MS270 Detailed simulation of flooding events, such as in storm surges, tsunamis or rain floods, requires substantial computing power and literally floods the computer with job tasks. Relevant supercomputing technology, on the other hand, is characterized by an increasing amount of parallelism on all scales. Hence, numerical methods, algorithms and software need to be tuned for data parallelism, many-core compute nodes (including accelerator technology) and large-scale parallelism. This minisymposium thus focuses on approaches to reduce time to solution for simulating complex flooding events on supercomputers and architectures characterized by many-core and accelerator technologies, in particular GPUs and Xeon Phis.

Organizer: Kyle T. MandliColumbia University, USA

Organizer: Michael BaderTU München, Germany

Organizer: Tobias WeinzierlDurham University, United Kingdom

2:00-2:20 FEM Integration with Quadrature on the GPUMatthew Knepley, University of Chicago,

USA; Karl Rupp and Karl Rupp, Vienna University of Technology, Austria; Andy R. Terrel, Continuum Analytics, USA

2:25-2:45 Flooding with Equelle: A Domain Specific Language for Finite Volume MethodsAndre R. Brodtkorb, SINTEF, Norway

2:50-3:10 High Performance High Order Numerical Method for Tsunami Wave PropagationRajesh Gandham, Timothy Warburton, and

David Medina, Rice University, USA

3:15-3:35 Thermal Comfort Simulations on Massive Parallel SystemsRalf-Peter Mundani and Jérôme Frisch,


Wednesday, March 18

MS293Mathematical and Physical Properties of Numerical Schemes for Complex Dynamical Systems - Part II of II2:00 PM-3:40 PMRoom:251 F

For Part 1 see MS268 Stability and convergence are fundamental issues in the study of numerical algorithms. Another important aspect is their capability of mimicking certain physical properties of the target continuous system, such as energy conversion, or tracer transport. In this minisymposium, researchers from different areas in applied and computational mathematics are invited to present their latest results in studies of numerical schemes for complex dynamical system. Finite difference and finite volume schemes are of primary interests here, but finite element methods may also be included. Application areas include but are not limited to aeroelasticity, classical fluid dynamics, and geophysical fluid dynamics.

Organizer: Qingshan ChenClemson University, USA

Organizer: Gung-Min GieUniversity of Louisville, USA

2:00-2:20 The Effective Resolution of Advection SchemesJames Kent, University of Michigan, USA;

Jared P. Whitehead, Brigham Young University, USA; Christiane Jablonowski and Richard Rood, University of Michigan, USA

2:25-2:45 A New Adaptive Weighted Essentially Non-oscillatory WENO-Θ Scheme for Hypberbolic Conservation LawsChang-Yeol Jung and Thien Binh Nguyen,

Ulsan National Institute of Science and Technology, South Korea

2:50-3:10 Stability and Convergence of the Co-volume Scheme for the Stokes ProblemQingshan Chen, Clemson University, USA

3:15-3:35 Semi-Analytical Time Differencing Methods for Stiff ProblemsChang-Yeol Jung and Thien Binh Nguyen,

Ulsan National Institute of Science and Technology, South Korea

2:50-3:10 Automated Adjoints for Mesh-Independent PDE-Constrained OptimisationPatrick E. Farrell, University of Oxford,

United Kingdom

3:15-3:35 A Pod Model for Resolving the Angular Dimension of the Boltzmann Transport EquationAndrew G. Buchan, Atyab Calloo,

Christopher Pain, Fangxin Fang, and Steven Dargaville, Imperial College London, United Kingdom; Ionel M. Navon, Florida State University, USA


Wednesday, March 18

MS297Algorithms for the Eigenvalue Problem in Electronic Structure Computations - Part II of II2:00 PM-3:40 PMRoom:150 DE

For Part 1 see MS273 The electronic structure of complex quantum mechanical systems is determined by the solution of a large number of one-dimensional non-linearly coupled Schrodinger equations. Upon discretization this set of equations translates into Hermitian symmetric eigenvalue problems. Due to the many existing discretization schemes eigenproblems come in many flavours and their solution requires a multidisciplinary approach. This minisymposium addresses the eigenproblems heterogeneity in connection with the rich variety of algorithms and implementations which are used to solve them. The ultimate goal is to make computational physicists and computer scientists aware of the current status of research and scientific advancement.

Organizer: Edoardo A. Di NapoliJülich Supercomputing Centre, Germany


Organizer: Yousef SaadUniversity of Minnesota, USA

2:00-2:20 Accelerating Quantum Transport Calculations Through the Feast AlgorithmSascha Brueck, Mauro Calderara, Hossein

Bani-Hashemian, Joost VandeVondele, and Mathieu Luisier, ETH Zürich, Switzerland

2:25-2:45 Parallel Solution of Eigenvalue Problems from Graphene Modeling with Solvers Based on Integration and ApproximationBruno Lang, Lukas Krämer, and Martin

Galgon, University of Wuppertal, Germany

2:50-3:10 Polynomial Techniques and Primme for the Computation of Large Number of EigenvaluesAndreas Stathopoulos, College of William &

Mary, USA

3:15-3:35 Linear Response Eigenvalue Problem and Excited State CalculationsZhaojun Bai, University of California, Davis,

USA; Ren-Cang Li, University of Texas at Arlington, USA

Wednesday, March 18

MS296Recent Advances in High Order Finite Element Methods for Atmospheric Sciences - Part II of II2:00 PM-3:40 PMRoom:150 AB

For Part 1 see MS272 Global and regional models are heavily used for weather forecasting, policy decisions and as compact laboratories for improving our scientific understanding of the Earth system. The next generation of numerical methods will soon be used for answering pressing questions on global/regional scale interactions, extreme events, and regional scale climate change. This minisymposium focuses on the latest advanced developments in high(er) order finite element methods including Discontinuous Galerkin,and high order finite volume methods. The speakers will address theoretical and computational issues such as stability, optimal order convergence, sparse discretization, parallel implementation, (hp)-adaptivity, large-scale problems and efficient implementations.

Organizer: Paul UllrichUniversity of California, Davis, USA


2:00-2:20 An HDG Method for Non-Hydrostatic AtmosphereTan Bui-Thanh, University of Texas at

Austin, USA

2:25-2:45 A Higher-Order Finite Volume Nonhydrostatic Dynamical Core with Space-Time RefinementHans Johansen, Lawrence Berkeley National

Laboratory, USA

2:50-3:10 Towards a Fully 3D Compressible Atmosphere Dynamical Core with Compatible Finite ElementsColin J. Cotter, Imperial College London,

United Kingdom

3:15-3:35 Optimization-based Spectral Element Semi-Lagrangian Tracer TransportKara Peterson and Mark A. Taylor, Sandia


Wednesday, March 18

MS295Advances in Computational Methods for MHD and Multi-Fluid Models of Plasma - Part II of II2:00 PM-3:40 PMRoom:254 C

For Part 1 see MS271 Plasmas are ionized gases that appear in a wide range of applications including astrophysics and space physics, as well as in laboratory settings such as in magnetically confined fusion. Modeling and understanding the basic phenomenon in plasma have long been topics in applied mathematics, yet many problems remain far too numerically intensive for modern parallel computers. The main difficulty is that plasmas span a wide range of spatial and temporal scales, requiring a wide array of computational mathematics tools. This minisymposium aims to describe recent advances in the development of numerical methods and computational frameworks for the numerical solution of the magnetohydrodynamics (MHD) equations and other multi-fluid plasma physics models.

Organizer: James A. RossmanithIowa State University, USA

Organizer: Lucian IvanUniversity of Waterloo, Canada


2:00-2:20 A High-order Block-adaptive Simulation Framework for Ideal and Resistive MHD Equations on Cubed-sphere GridsLucian Ivan, Hans De Sterck, and Andree

Susanto, University of Waterloo, Canada; Clinton P. Groth, University of Toronto, Canada

2:25-2:45 Scalable Solvers for Extended MHD in the Low-β RegimeLuis Chacon, Los Alamos National

Laboratory, USA

2:50-3:10 Block Preconditioners for 3D Incompressible MHDEric C. Cyr, Edward Phillips, and John

Shadid, Sandia National Laboratories, USA

3:15-3:35 Multi-Fluid Magnetohydrodynamic Models for Partially-Ionized Non-Equilibrium Anisotropic PlasmasClinton P. Groth and Ken Miura, University

of Toronto, Canada


Wednesday, March 18

MS300Advances in Compressed Sensing and Structured Sparse Representations - Part II of II2:00 PM-3:40 PMRoom:260 A

For Part 1 see MS276 The goal of this minisymposium is to present recent progress on models and algorithms for compressed sensing that go beyond the traditional sparsity setting. It has long been acknowledged that many practical applications of compressed sensing - ranging from medical sciences to optical imaging and wireless communications - possess substantially more structure than sparsity alone. Leveraging such structure presents significant challenges in both the construction of measurements (e.g. using tools from communications and optimization) and the design of new, often probabilistic, algorithms. This minisymposium will bring together leading experts in the field to latest research into these vital questions.

Organizer: Ben AdcockSimon Fraser University, Canada

Organizer: Anders HansenUniversity of Cambridge, United Kingdom

2:00-2:20 Title Not Available at Time of PublicationRichard G. Baraniuk, Rice University, USA

2:25-2:45 Representation Using the Weyl TransformRobert Calderbank, Duke University, USA

2:50-3:10 Fast and Robust Dictionary Learning, with Invariances and MultiresolutionMauro Maggioni and Samuel Gerber, Duke

University, USA

3:15-3:35 Compressive Parameter Estimation via Approximate Message PassingShermin Hamzehei and Marco F. Duarte,

University of Massachusetts, USA

Wednesday, March 18

MS299Cyberlearning Technology and Deep Learning Assessment in CSE Education2:00 PM-3:40 PMRoom:259

Computational science and engineering education is being transformed through a range of educational innovations. This minisymposium will comprise reports on some novel ideas to advance undergraduate CSE education through cyberlearning technology, deep learning assessment and innovative undergraduate research summer workshops.

Organizer: Hong LiuEmbry-Riddle Aeronautical University, USA

Organizer: Michael SpectorUniversity of North Texas, USA

2:00-2:20 Tri-Located Course in Mathematical Modeling and Complementary Reu Summer WorkshopHong Liu and Andrei Ludu, Embry-Riddle

Aeronautical University, USA

2:25-2:45 Deep Learning Assessment for Near Real-time, Formative Feedback during Complex Problem-solving ActivitiesMichael Spector, University of North Texas,

USA

2:50-3:10 Towards Automating Analysis of Midterm Semester Feedback Surveys for Improving Course EffectivenessDouglas Holton, Embry-Riddle Aeronautical

University, USA

3:15-3:35 Facilitating Learners’ Cognitive Presence In A Self-Directed Online CourseYe Chen and Jing Lei, Syracuse University,

USA

Wednesday, March 18

MS298Models and Algorithms for Engineering Optimization Under Uncertainty - Part II of II2:00 PM-3:40 PMRoom:258

For Part 1 see MS274 Engineering optimization problems are often constrained by large-scale simulations of physical systems. In many applications, the parameters and inputs characterizing the physical system are unknown or estimated from data. When solving such optimization problems, it is not only important to accurately characterize the uncertainty and incorporate it in the optimization formulation, but to also determine optimal solutions that are robust or risk-averse to this uncertainty. This minisymposium presents novel risk models and efficient algorithms for the treatment of uncertainty in engineering optimization problems.

Organizer: Bart G. Van Bloemen WaandersSandia National Laboratories, USA

Organizer: Drew P. KouriSandia National Laboratories, USA

2:00-2:20 On Risk-averse PDE-constrained Optimization using Convex Risk Measures Inspired by Conditional Value-at-riskThomas M. Surowiec, Humboldt University

at Berlin, Germany

2:25-2:45 Maximizing AUC and Buffered AUC in ClassificationStan Uryasev, University of Florida, USA

2:50-3:10 Optimization under Uncertainty: Application to Electrical CircuitsTimur Takhtaganov, Rice University, USA

3:15-3:35 Optimal Control Problems With Uncertain Model ParametersXiaodi Deng, Rice University, USA


Wednesday, March 18

MS303Advances in Time-Domain Boundary Integral Equations - Part II of II2:00 PM-3:40 PMRoom:151 DE

For Part 1 see MS278 In recent years there has been an increasing interest in understanding and enhancing the simulation of linear evolution equations (transient waves, Stokes flow, and diffusion) using boundary integral equation (BIE) methods. This minisymposium brings together researchers in the field of time-domain BIE to enhance relationships and to discuss current progress and future trends in theory, computation and advanced applications. A very wide range of topics are covered such as fast methods, stable time-stepping strategies (marching-on-in-time and convolution quadrature), well- posedness, and new applications in electromagnetism, acoustics, elastodynamics, and heat diffusion.

Organizer: Nicolas SallesUniversity College London, United Kingdom

Organizer: Francisco J. J. SayasUniversity of Delaware, USA

2:00-2:20 Time-Domain Simulation of Two Dimensional Elastic ScatteringVictor Dominguez, Universidad Pública de

Navarra, Spain; Tonatiuh Sanchez-Vizuet and Francisco J. J. Sayas, University of Delaware, USA

2:25-2:45 Variable Order Fast Multipole Method for an Elastodynamic BEMThomas Traub and Martin Schanz, Graz

University of Technology, Austria

2:50-3:10 Recent Advances in the Convolution Quadrature and Temporal Galerkin Approaches to Transient ElectromagneticsDaniel Weile, University of Delaware, USA;

Balasubramaniam Shanker, Michigan State University, USA

3:15-3:35 Accuracy of the Marching-on-in-Time Scheme for Td-Bie MethodsElwin Van ‘t Wout, University College

London, United Kingdom

Wednesday, March 18

MS302PDE-constrained Optimization using the Open-source Code SU22:00 PM-3:40 PMRoom:151 AB

Most established codes for PDE-constrained optimization are proprietary, unavailable, or prohibitively expensive for many users. The SU2 code is freely available as open-source and features a complete computational analysis framework for multidisciplinary design in applications such as, but not limited to, aerospace technology. This minisymposium will cover up-to-date topics within the SU2 framework related to its continuous and discrete adjoint capabilities, the application to large-scale aerodynamic design, and the utilization of many-core architectures. Each of the topics covered involve the combination of multiple research areas of interest to the CS&E community.


Organizer: Juan J. AlonsoStanford University, USA

2:00-2:20 Large Scale Design Using Su2 and a Continuous Adjoint Rans ApproachFrancisco Palacios, Stanford University,

USA

2:25-2:45 A Consistent and Robust Discrete Adjoint Solver for the SU2 FrameworkTim Albring and Nicolas R. Gauger,

Technische Universität Kaiserslautern, Germany

2:50-3:10 A Discrete Adjoint Framework for Lift-Constrained Noise Minimization Using SU2Beckett Zhou and Nicolas R. Gauger,

Technische Universität Kaiserslautern, Germany; Thomas Economon, Francisco Palacios, and Juan J. Alonso, Stanford University, USA

3:15-3:35 High-Performance Optimizations of the Unstructured Open-Source SU2 SuiteThomas Economon, Francisco Palacios,

and Juan J. Alonso, Stanford University, USA; Gaurav Bansal, Anand Deshpande, Alexander Heinecke, Dheevatsa Mudigere, and Mikhail Smelyanskiy, Intel Corporation, USA

Wednesday, March 18

MS301Computational Techniques for Wave Equations in Second Order Form - Part II of II2:00 PM-3:40 PMRoom:260 B

For Part 1 see MS277 Many wave systems are most naturally written in second order form. First order reformulations, though possible, typically require additional constraints and more variables. Despite this fact, the theory of efficient time-domain discretization schemes is better developed in the first order case. Speakers in this minisymposium will discuss the generalization of concepts such as upwinding which are familiar for first order systems, as well as more traditional methods which leverage special features of second order formulations. In addition, special techniques for treating high frequency waves and random media as well as applications to complex physical phenomena will be considered.

Organizer: Thomas M. HagstromSouthern Methodist University, USA

Organizer: Daniel AppeloUniversity of New Mexico, USA

2:00-2:20 Upwind DG for Acoustic and Elastic Wave EquationsDaniel Appelo, University of New Mexico,

USA; Thomas M. Hagstrom, Southern Methodist University, USA

2:25-2:45 A Discontinuous Galerkin Method for the Spherically Reduced Einstein Field Equations with Second-Order OperatorsScott Field, Cornell University, USA; Jan

Hesthaven, EPFL, France; Stephen Lau, University of New Mexico, USA; Abdul Mroue, Canadian Institute for Theoretical Astrophysics, Canada

2:50-3:10 High-Order Upwind Methods for Second-Order Wave Equations on Curvilinear and Overlapping GridsJeffrey W. Banks, Rensselaer Polytechnic

Institute, USA

3:15-3:35 Uncertainty Quantification for High Frequency WavesOlof Runborg, KTH Stockholm, Sweden


Wednesday, March 18

MS304Co-Design with Proxy Applications: Results and Experiences - Part II of II2:00 PM-3:40 PMRoom:151 G

For Part 1 see MS279 Effective use of computing environments for scientific and engineering applications is determined by a combination issues throughout the codesign space: hardware, runtime environment, programming models, languages and compilers, algorithm choice and implementation, and more. Our focus is on applications that are large and complex, applying multi-physics at multi-scale, often with source code distribution constraints. Application proxies enable a language for codesign, providing a collaborative tool for exploring large-scale high performance scientific computation. Presentations in this minisymposium will describe experiences using proxies to explore key issues in computational science, providing examples across the codesign spectrum.

Organizer: Richard BarrettSandia National Laboratories, USA

Organizer: Charles (Bert) H. StillLawrence Livermore National Laboratory, USA

2:00-2:20 Experiences in Development of a Contact MiniApplication Using KokkosGlen Hansen and Patrick Xavier, Sandia


2:25-2:45 Co-Designing Hierarchical Algorithms: Application to Vlasov-Maxwell Particle-in-Cell MethodsJoshua Payne, Luis Chacon, Guangye

Chen, Chris Newman, Dana Knoll, and Allen McPherson, Los Alamos National Laboratory, USA

2:50-3:10 Uintah/Wasatch: Addressing Multiphsyics Complexity in a High-Performance Computing EnvironmentTony Saad, Christopher Earl, Abhishek

Bagusetty, Matthew Might, and James C. Sutherland, University of Utah, USA

Conference Adjourns3:40 PM


Notes


Speaker Index

Italicized names are minisymposium organizers.


AAcar, Evrim, PD1, 12:15 Sat

Adams, Mark, MS175, 1:55 Mon

Adams, Mark, MS210, 3:30 Tue

Adams, Marvin L., MS45, 2:25 Sat

Adcock, Ben, MS276, 10:55 Wed

Adcock, Ben, MS300, 2:00 Wed

Adcroft, Alistair, MS157, 2:45 Mon

Aderogba, Adebayo A., PP2, 4:30 Sun

Adler, James H., MS85, 9:10 Sun



Adler, James H., MS137, 9:10 Mon

Afkhami, Shahriar, MS245, 5:15 Tue

Aghakhani, Hossein, MS165, 2:20 Mon

Agullo, Emmanuel, MS82, 9:10 Sun

Agullo, Emmanuel, MS107, 1:30 Sun

Agullo, Emmanuel, MS134, 9:10 Mon




Ahmadia, Aron, PP6, 4:30 Sun

Ahmedov, Bahodir, PP4, 4:30 Sun

Ahrens, James, IP9, 8:15 Wed

Ajay, Aprant, MS94, 9:26 Sun

Albin, Nathan, MS3, 10:15 Sat

Albright, Jason, MS10, 10:15 Sat

Albring, Tim, MS302, 2:25 Wed

Alexanderian, Alen, MS274, 11:45 Wed

Alexeev, Alexander, MS42, 3:40 Sat

Aljuhani, Shaimaa M., PP14, 4:30 Mon

Alkahtani, Badr, PP1, 4:30 Sun

Alla, Alessandro, MS174, 2:45 Mon

Allaire, Doug, MS274, 12:10 Wed

Alldredge, Graham, PP105, 4:30 Sun

Alldredge, Graham, MS147, 9:35 Mon

Allen, Jeffery M., MS110, 1:55 Sun

Allmaras, Steven R., MS98, 9:35 Sun

Almgren, Ann S., MS201, 11:15 Tue

Alolyan, Ibraheem, PP3, 4:30 Sun

Alonso, Juan J., MS302, 2:00 Wed

Aluie, Hussein, CP24, 10:10 Wed

Amaral, Sergio, PP13, 4:30 Mon

Amaya, Joseph, MS216, 2:15 Tue

Aminfar, Amirhossein, MS203, 10:50 Tue

Amir, Lubna, PP102, 4:30 Sun

Amsallem, David, MS4, 10:15 Sat



Amsallem, David, MS187, 11:15 Tue

Anderson, Jeffrey, MS243, 5:15 Tue

Andini Putri, Fauziah, MS146, 10:14 Mon

Andrews, Steven, MS90, 9:10 Sun

Anistratov, Dmitriy Y., MS223, 2:40 Tue

Anitescu, Mihai, MS195, 10:50 Tue

announced, To be, MS105, 10:50 Tue

Antil, Harbir, MS174, 1:55 Mon

Anzt, Hartwig, PP205, 4:30 Mon

Anzt, Hartwig, PP205, 4:30 Mon

Appelhans, David A., CP8, 10:10 Wed

Appelo, Daniel, MS36, 2:25 Sat

Appelo, Daniel, MS277, 10:55 Wed



Aquino, Wilkins, MS274, 11:20 Wed

Aravkin, Aleksandr, MS9, 10:15 Sat



Arbenz, Peter, MS160, 1:30 Mon

Archer, Cristina L., MS253, 4:50 Tue

Archibald, Richard, PP3, 4:30 Sun

Arnold, Douglas N., PP207, 4:30 Mon

Arrigo, Francesca, CP26, 9:10 Wed

Asante-Asamani, Emmanuel O., PP4, 4:30 Sun

Attia, Ahmed, MS218, 3:30 Tue

Atzberger, Paul J., PP104, 4:30 Sun

Atzberger, Paul J., MS242, 4:25 Tue

Atzberger, Paul J., MS288, 2:25 Wed

Audouze, Christophe, CP22, 9:40 Wed

Augustin, Florian, MS139, 10:25 Mon

Augustin, Florian, MS183, 10:00 Tue

Auphan, Thomas, MS66, 5:00 Sat

Austin, Anthony, PP204, 4:30 Mon

Austin, Brian, MS186, 10:50 Tue

Austin, Woody N., CP25, 10:10 Wed

Awanou, Gerard, PP207, 4:30 Mon

Azijli, Iliass, PP14, 4:30 Mon

BBabaee, Hessameddin, CP22, 9:25 Wed

Baboulin, Marc, MS266, 10:55 Wed

Baboulin, Marc, MS291, 2:00 Wed

Babtie, Ann C., MS132, 10:25 Mon

Bacuta, Constantin, MS37, 3:15 Sat

Bader, Michael, MS270, 10:55 Wed

Bader, Michael, MS294, 2:00 Wed

Badia, Rosa M., MS171, 1:30 Mon

Badia, Santiago, MS32, 2:25 Sat

Badr, Abdallah A., PP13, 4:30 Mon

Baer, Steven M., MS153, 9:10 Mon

Baer, Steven M., MS153, 9:10 Mon

Bahlla, Upinder, MS115, 2:20 Sun

Bai, Zhaojun, MS297, 3:15 Wed

Bakhos, Tania, MS31, 3:15 Sat

Balay, Satish, PP103, 4:30 Sun

Baldassarre, Luca, MS276, 11:20 Wed

Ballani, Jonas, MS56, 5:50 Sat

Ballard, Grey, CP8, 9:25 Wed

Ballarin, Francesco, MS236, 5:40 Tue

Banks, Jeffrey W., MS6, 10:15 Sat



Banks, Jeffrey W., MS301, 2:50 Wed

Bao, Feng, PP201, 4:30 Mon

Bao, Lei, MS272, 12:10 Wed

Barajas-Solano, David A., MS256, 12:10 Wed

Baraniuk, Richard G., MS2, 11:30 Sat

Baraniuk, Richard G., MS300, 2:00 Wed

Barba, Lorena A., MS27, 2:25 Sat

Barba, Lorena A., MS27, 2:25 Sat

Barba, Lorena A., MS78, 10:25 Sun

Barba, Lorena A., PD3, 12:15 Mon

Bardhan, Jaydeep, MS151, 9:35 Mon

Bardhan, Jaydeep, MS242, 5:15 Tue

Bardsley, Johnathan M., MS5, 10:15 Sat

Bardsley, Johnathan M., MS144, 9:10 Mon



Barker, Andrew T., MS186, 10:25 Tue

Barlow, Andrew J., MS156, 2:45 Mon

Barlow, Jesse L., MS63, 5:00 Sat

Barnett, Alex H., MS227, 2:15 Tue


Barra, Valeria, PP1, 4:30 Sun

Barrett, Richard, MS279, 10:55 Wed



Bartel, Andreas, MS162, 1:30 Mon

Bartlett, Roscoe, MS77, 5:00 Sat

Bartol, Thomas M., MS90, 10:00 Sun

Basting, Christopher, PP203, 4:30 Mon

Basting, Christopher, CP14, 9:40 Wed

Bauer, Andrew, MS77, 5:50 Sat

Bauer, Martin, MS124, 1:30 Sun

Bauer, Martin, MS124, 1:30 Sun

Bauman, Paul, MS139, 9:10 Mon



Bayona, Victor, MS24, 11:05 Sat

Beams, Natalie N., PP6, 4:30 Sun

Beattie, Christopher A., MS91, 9:10 Sun

Beattie, Christopher A., MS116, 1:30 Sun

Beattie, Christopher A., MS143, 9:10 Mon

Beattie, Christopher A., MS169, 1:30 Mon

Beck, Andrea D., MS67, 4:35 Sat

Beck, Andrea D., MS150, 10:00 Mon

Beck, James, MS132, 9:10 Mon

Beck, James, MS158, 1:30 Mon

Becker, Stephen, MS35, 2:50 Sat

Becker, Stephen, MS74, 4:35 Sat

Beckvermit, Jacqueline, PP206, 4:30 Mon

Bekas, Costas, MS118, 2:45 Sun

Belanger-Rioux, Rosalie, MS88, 10:00 Sun

Bell, John B., MS263, 11:20 Wed

Bencomo, Mario, MS88, 9:35 Sun

Bennett, Janine C., MS129, 9:35 Mon

Benson, Austin, CP4, 9:25 Wed

Benson, Thomas, CP2, 9:40 Wed

Benzi, Michele, MS108, 2:45 Sun

Berger, Marsha, MS130, 9:10 Mon

Berger, Marsha, MS157, 1:30 Mon

Berljafa, Mario, PP3, 4:30 Sun

Bernholdt, David E., MS112, 1:55 Sun

Bertozzi, Andrea L., MS29, 3:15 Sat

Bertozzi, Andrea L., PD0, 8:30 Sat

Bertrand, Fleurianne, MS110, 2:20 Sun

Berzins, Martin, MS93, 10:25 Sun

Berzins, Martin, MS129, 9:10 Mon

Betcke, Timo, MS151, 9:10 Mon



Betcke, Timo, MS203, 10:00 Tue

Betcke, Timo, MS227, 2:15 Tue

Bhaganagar, Kiran, MS253, 4:25 Tue

Bhaganagar, Kiran, MS253, 4:25 Tue

Bhatele, Abhinav, MS287, 2:50 Wed

Bhattacharya, Kaushik, MS14, 10:15 Sat

Bhowmick, Sanjukta, MS100, 9:10 Sun



Bian, Xin, PP104, 4:30 Sun

Bienstock, Daniel, MS100, 10:00 Sun

Biglari, Amir, CP17, 10:10 Wed

Bigoni, Daniele, PP5, 4:30 Sun

Bihari, Barna, MS97, 10:00 Sun

Bilionis, Ilias, MS289, 2:00 Wed

Bindel, David, MS60, 4:35 Sat

Bindel, David, MS60, 5:00 Sat

Birken, Philipp, MS6, 10:40 Sat

Birken, Philipp, MS57, 4:35 Sat

Biros, George, MS8, 10:15 Sat




Biros, George, MS164, 2:45 Mon

Biros, George, MS214, 2:15 Tue

Biros, George, MS239, 4:25 Tue

Birrell, Jeremiah, PP6, 4:30 Sun

Bistrian, Diana, MS267, 12:10 Wed

Bittner, Kai, MS162, 1:55 Mon

Blackburn, Hugh, MS103, 10:00 Sun

Blackwell, Robert, MS122, 2:45 Sun

Blais, Marcel, MS222, 2:15 Tue

Blaylock, Myra, MS135, 10:00 Mon

Bliss, Nadya, MS100, 10:25 Sun

Blom, David, MS6, 11:30 Sat

Blonigan, Patrick, MS111, 2:20 Sun

Blum, Volker, MS184, 10:00 Tue

Bo, Wurigen, MS167, 4:25 Tue

Bochev, Pavel, PP203, 4:30 Mon

Bock, Nicolas, MS241, 5:40 Tue

Bodony, Daniel J., MS86, 9:10 Sun



Bokanowski, Olivier, MS15, 10:40 Sat

Bolten, Matthias, CP2, 9:10 Wed

Bolten, Matthias, MS286, 2:50 Wed

Boman, Erik G., MS141, 9:10 Mon

Boman, Erik G., CP7, 10:10 Wed

Borges, Carlos C., MS48, 3:40 Sat

Borggaard, Jeff, MS148, 10:25 Mon

Borggaard, Jeff, MS267, 10:55 Wed

Börm, Steffen, MS203, 10:00 Tue

Boscarino, Sebastiano, MS188, 10:50 Tue

Bosch, Jessica, MS83, 9:35 Sun

Bosilca, George, MS82, 9:35 Sun

Bosilca, George, MS145, 10:00 Mon

Bosse, Torsten F., MS69, 4:35 Sat

Bourrier, Anthony, MS276, 11:45 Wed

Boutsidis, Christos, MS266, 10:55 Wed

Boyd, John P., MS180, 1:30 Mon

Brady, John F., MS288, 2:00 Wed

Bramas, Berenger, MS177, 2:20 Mon

Brannick, James, MS254, 4:25 Tue

Brannick, James, MS254, 4:50 Tue

Braun, Richard, PD0, 6:30 Sat

Braun, Richard, PP4, 4:30 Sun

Brazell, Michael, MS176, 2:45 Mon

Breil, Jerome, MS167, 5:15 Tue

Brennan, Brian W., MS231, 2:40 Tue

Breuer, Alexander, CP8, 9:55 Wed

Briggs, Nathan C., PP7, 4:30 Sun

Brodtkorb, Andre R., MS294, 2:25 Wed

Brown, Elisabeth M., PP4, 4:30 Sun

Brown, Jed, MS175, 2:45 Mon

Brown, Jed, MS202, 10:00 Tue

Brown, Jed, MS226, 2:15 Tue

Brown, Peter, PP105, 4:30 Sun

Brueck, Sascha, MS297, 2:00 Wed

Brull, Stephane, MS95, 9:10 Sun

Brull, Stephane, CP12, 10:10 Wed

Brune, Christoph, MS239, 4:50 Tue

Bruno, Oscar P., MS18, 10:15 Sat

Bruno, Oscar P., MS154, 9:10 Mon


Cerioni, Alessandro, MS273, 12:10 Wed

Chabannes, Vincent, PP204, 4:30 Mon

Chacon, Luis, MS295, 2:25 Wed

Chakrabortty, Aranya, MS256, 11:45 Wed

Chakraborty, Pritam, MS259, 11:20 Wed

Challacombe, Matt, MS241, 4:50 Tue

Chand, Kyle, MS127, 2:45 Sun

Chandrasekaran, Sunita, MS235, 4:25 Tue

Chapman, Barbara, MS235, 4:25 Tue

Chatzi, Eleni, MS158, 1:30 Mon

Chaudhri, Anuj, MS263, 11:45 Wed

Chaudhry, Jehanzeb H., MS137, 10:25 Mon

Chaudhry, Jehanzeb H., MS261, 12:10 Wed

Chavarria, Daniel, MS235, 5:40 Tue

Chavez, Gustavo, MS73, 5:25 Sat

Chelikowsky, James R., MS273, 10:55 Wed

Chen, Guangye, MS199, 10:25 Tue

Chen, Jie, MS241, 4:25 Tue

Chen, Jie, MS241, 4:25 Tue

Chen, Long-qing, MS40, 3:40 Sat

Chen, Peng, MS34, 3:40 Sat

Chen, Peng, MS187, 10:50 Tue

Chen, Qingshan, PP9, 4:30 Mon

Chen, Qingshan, MS268, 10:55 Wed



Chen, Richard L., MS195, 10:25 Tue

Chen, Yanping, PP6, 4:30 Sun

Chen, Ye, MS299, 3:15 Wed

Chen, Yi, CP22, 9:10 Wed

Chen, Zheng, MS89, 9:10 Sun

Cheng, Cheng, PP8, 4:30 Sun

Cheng, Juan, MS23, 10:15 Sat



Cheng, Yingda, MS15, 10:15 Sat



Cheng, Yuanzhen, PP2, 4:30 Sun

Chevalier, Cédric, MS200, 10:25 Tue

Chi, Hongmei, PP13, 4:30 Mon

Calderer, Antoni E., MS196, 11:15 Tue

Calderer, Carme, MS14, 10:40 Sat

Calhoun, Donna, MS102, 9:10 Sun



Calhoun, Donna, PP102, 4:30 Sun

Calvetti, Daniela, MS5, 10:40 Sat

Calvetti, Daniela, PD5, 12:45 Tue

Calvin, Christophe, MS17, 11:05 Sat

Camier, Jean-Sylvain, MS279, 11:45 Wed

Campbell, Dave A., MS158, 2:20 Mon

Canic, Suncica, MS57, 4:35 Sat

Canning, Andrew M., PP3, 4:30 Sun

Cantin, Pierre, PP202, 4:30 Mon

Cantwell, Chris, MS26, 10:15 Sat



Cantwell, Chris, MS103, 9:10 Sun



Cao, Shuhao, MS152, 10:00 Mon

Carey, Varis, MS84, 10:25 Sun

Carin, Larry, MS276, 10:55 Wed

Carlberg, Kevin T., MS4, 10:40 Sat

Carlberg, Kevin T., MS187, 10:00 Tue



Carlberg, Kevin T., MS260, 10:55 Wed

Carlberg, Kevin T., MS285, 2:00 Wed

Carpentieri, Bruno, MS275, 10:55 Wed

Carrola, John, MS16, 10:15 Sat



Carson, Erin C., MS141, 10:00 Mon

Carver, Jeffrey C., MS112, 2:45 Sun

Casadei, Astrid, MS250, 5:15 Tue

Casas, Marc, MS107, 1:30 Sun

Catalyurek, Umit V., MS250, 4:50 Tue

Caudillo Mata, Luz Angelica A., CP9, 9:40 Wed

Cazeaux, Paul, CP12, 9:25 Wed

Brunton, Steven, MS2, 10:15 Sat




Bryant, Corey M., MS109, 2:45 Sun

Bu, Yiming, MS275, 12:10 Wed

Buchan, Andrew G., MS292, 3:15 Wed

Bui-Thanh, Tan, MS62, 4:35 Sat

Bui-Thanh, Tan, MS87, 9:10 Sun

Bui-Thanh, Tan, MS272, 10:55 Wed



Bungartz, Hans-Joachim, MS80, 9:10 Sun

Bungartz, Hans-Joachim, MS105, 1:30 Sun

Burke, James V., MS9, 10:15 Sat

Burkovska, Olena, PP2, 4:30 Sun

Burkow, Markus, CP24, 9:10 Wed

Burstedde, Carsten, MS102, 9:10 Sun



Busetto, AlbertoGiovanni, MS132, 9:10 Mon



Busetto, AlbertoGiovanni, PP208, 4:30 Mon

Butler, Troy, MS84, 9:10 Sun



Butler, Troy, PP101, 4:30 Sun

Buvoli, Tommaso, PP10, 4:30 Mon

CCabal, Antonio, MS92, 10:00 Sun

Cacuci, Dan G., MS194, 10:25 Tue

Cai, Yongyong, CP20, 9:10 Wed

Cai, Zhenning, PP105, 4:30 Sun

Cai, Zhenning, MS248, 4:25 Tue

Cai, Zhiqiang, MS152, 9:10 Mon



Calaf, Marc, MS253, 5:15 Tue

Calderbank, Robert, MS300, 2:25 Wed


Davis, Anthony B., PP105, 4:30 Sun

Davis, Brisa, PP102, 4:30 Sun

Davis, Rachel A., MS198, 11:15 Tue

Davis, Timothy A., MS163, 1:30 Mon

Dawson, Clint, MS206, 10:00 Tue



D’Azevedo, Eduardo F., CP4, 9:10 Wed

de Jong, Bert, MS209, 3:05 Tue

De Marchi, Stefano, MS101, 10:00 Sun

De Stefano, Michele, MS181, 2:20 Mon

De Sterck, Hans, MS131, 9:10 Mon

De Sterck, Hans, MS247, 4:25 Tue

De Sturler, Eric, MS91, 9:10 Sun



De Sturler, Eric, MS143, 9:10 Mon

De Sturler, Eric, MS169, 1:30 Mon

Debusschere, Bert J., MS138, 9:10 Mon

Debusschere, Bert J., MS164, 1:30 Mon

Del Pino, Stephane, MS167, 5:40 Tue

Del Razo, Mauricio J., PP102, 4:30 Sun

Del Razo, Mauricio J., CP9, 9:55 Wed

Delgado, Paul M., MS119, 2:02 Sun

Delgado, Paul M., PP6, 4:30 Sun

D’Elia, Marta, PP201, 4:30 Mon

Delong, Steven D., MS263, 12:10 Wed

Demanet, Laurent, MS74, 5:50 Sat

DeMarco, Christopher, MS256, 11:20 Wed

Demeshko, Irina, MS43, 3:40 Sat

Demeshko, Irina, PP106, 4:30 Sun

Demirci, Utkan, MS42, 2:50 Sat

Demlow, Alan, MS178, 1:30 Mon

Dener, Alp, MS205, 10:25 Tue

Deng, Weishan, CP10, 9:55 Wed

Deng, Xiaodi, MS298, 3:15 Wed

Deng, Xiao-Long, MS196, 10:25 Tue

Densmore, Jeffery D., MS223, 2:15 Tue

Derksen, Alexander, MS214, 2:40 Tue

Desjardins, Olivier, MS52, 5:50 Sat

Constantinescu, Emil M., MS188, 10:00 Tue



Cook, Dennis, MS7, 10:40 Sat

Cooley, Kilian, MS228, 2:40 Tue

Copos, Calina A., PP4, 4:30 Sun

Cortez, Ricardo, MS99, 9:10 Sun

Cortez, Ricardo, MS140, 9:10 Mon

Cortial, Julien, MS285, 2:00 Wed

Cotilla-Sanchez, Eduardo, MS281, 2:50 Wed

Cottam, Joseph, MT1, 2:50 Wed

Cotter, Colin J., MS296, 2:50 Wed

Couteyen Carpaye, Jean Marie, PP1, 4:30 Sun

Crabtree, George, MS14, 11:05 Sat

Crestel, Benjamin, PP13, 4:30 Mon

Crivelli, Silvia N., MS198, 10:00 Tue

Crivelli, Silvia N., MS198, 10:00 Tue

Crowe, Cameron, PP8, 4:30 Sun

Cui, Tiangang, MS59, 5:00 Sat

Curtis, Frank E., MS244, 5:15 Tue

Cyr, Eric C., PP106, 4:30 Sun

DDaescu, Dacian N., MS168, 1:30 Mon

Daescu, Dacian N., MS194, 10:00 Tue




Daescu, Dacian N., MS267, 10:55 Wed

Daescu, Dacian N., MS292, 2:00 Wed

Dahm, Johann, MS87, 10:00 Sun

Dahmen, Wolfgang, IP2, 1:30 Sat

Dahmen, Wolfgang, MS81, 10:00 Sun

Dalton, Steven, PP205, 4:30 Mon

Darve, Eric F., MS145, 10:25 Mon

Dastouri, Zahrasadat, PP1, 4:30 Sun

Daunizeau, Jean, CP26, 9:40 Wed

Davidovic, Andjela, PP12, 4:30 Mon

Davis, Anthony B., MS19, 10:15 Sat

Chien, Andrew A., MS82, 10:00 Sun

Childs, Hank, PD2, 12:15 Sun

Chkifa, Abdellah, MS106, 1:55 Sun

Cho, Hana, PP2, 4:30 Sun

Cho, Heyrim, MS289, 2:50 Wed

Choi, Youngsoo, MS148, 9:35 Mon

Chou, Ching-Shan, MS277, 12:10 Wed

Chow, Edmond, MS197, 11:15 Tue

Chow, Joe, MS281, 3:15 Wed

Christlieb, Andrew J., MS45, 2:50 Sat

Christlieb, Andrew J., MS136, 9:35 Mon

Christlieb, Andrew J., MS204, 10:00 Tue



Christon, Mark, MS77, 5:25 Sat

Chunfeng, Cui, PP3, 4:30 Sun

Chung, Julianne, MS31, 2:25 Sat

Cinnella, Paola, MS67, 5:00 Sat

Clayton, Richard, MS26, 10:15 Sat

Clayton, Richard, MS51, 2:25 Sat

Cline, Derek A., PP1, 4:30 Sun

Cohen, Albert, MS81, 9:10 Sun

Cohen, Albert, MS106, 1:30 Sun

Cohen, Albert, MS133, 9:10 Mon



Cohen, Albert, MS185, 10:00 Tue

Coifman, Ronald, MS53, 5:00 Sat

Coletti, Mark, PP11, 4:30 Mon

Colgin, Zane, CP13, 9:55 Wed

Collins, James B., PP5, 4:30 Sun

Conrad, Patrick R., MS74, 5:00 Sat

Conrad, Patrick R., PP5, 4:30 Sun

Constantine, Paul, MS7, 10:15 Sat



Constantine, Paul, MS249, 4:25 Tue

Constantinescu, Emil M., MS136, 9:10 Mon

Constantinescu, Emil M., MS162, 1:30 Mon



Endeve, Eirik, MS95, 9:35 Sun

Engsig-Karup, Allan P., PP10, 4:30 Mon

Engwer, Christian, MS231, 3:30 Tue

Ennis-King, Jonathan, MS284, 2:50 Wed

Enright, Wayne, MS188, 10:25 Tue

Epshteyn, Yekaterina, MS10, 10:15 Sat




Epshteyn, Yekaterina, MS251, 5:15 Tue

Español, Pep, MS263, 10:55 Wed

Espig, Mike, MS56, 4:35 Sat

Espig, Mike, MS56, 4:35 Sat

Estrada, Felipe, MS216, 2:40 Tue

Evans, Emily, CP19, 9:40 Wed

FFabiano, Enrico, MS86, 9:35 Sun

Fahroo, Fariba, PD0, 8:30 Sat

Fairbanks, James, PP3, 4:30 Sun

Falgout, Robert, IP4, 11:20 Sun

Falk, Michael, MS40, 3:15 Sat

Fan, Yuwei, PP105, 4:30 Sun

Fang, Fangxin, MS267, 11:20 Wed

Fange, David, MS90, 9:35 Sun

Farge, Marie, PP1, 4:30 Sun

Farrell, Kathryn, PP5, 4:30 Sun

Farrell, Patricio, MS75, 5:00 Sat

Farrell, Patrick E., MS182, 10:25 Tue

Farrell, Patrick E., MS292, 2:50 Wed

Fattebert, Jean-Luc, MS209, 2:15 Tue

Feinberg, Eugene A., CP15, 9:25 Wed

Feng, Lihong, MS143, 10:00 Mon

Feng, Xiao, MS251, 5:40 Tue

Ferreira, Ricardo, MS198, 10:25 Tue

Ferrer, Rodolfo, MS173, 1:55 Mon

Fidkowski, Krzysztof, MS98, 10:25 Sun

Field, Scott, PP10, 4:30 Mon

Field, Scott, MS301, 2:25 Wed

Fike, Jeffrey, MS211, 2:40 Tue

Filbir, Frank, MS126, 1:30 Sun

Doostan, Alireza, MS289, 2:00 Wed

Dorff, Michael, MS222, 3:30 Tue

Dow, Eric, MS7, 10:15 Sat

Draganescu, Andrei, MS202, 10:25 Tue

Drawert, Brian, MS90, 9:10 Sun

Drawert, Brian, MS115, 1:30 Sun

Driscoll, Tobin, MS180, 2:45 Mon

Drmac, Zlatko, MS169, 1:30 Mon

Druinsky, Alex, MS210, 3:05 Tue

Druskin, Vladimir L., MS143, 9:10 Mon

Du, Cheng-Han, CP10, 10:10 Wed

Duarte, Marco F., MS300, 3:15 Wed

Duarte, Max, CP10, 9:25 Wed

Duarte, Max, CP17, 9:55 Wed

Dubey, Anshu, MS160, 2:20 Mon

Dutta, Prashanta, MS217, 3:30 Tue

Dwight, Richard, MS135, 9:35 Mon

Dytrych, Tomas, MS61, 5:25 Sat

EEbna Hai, Bhuiyan Shameem M., PP10, 4:30 Mon

Economon, Thomas, MS302, 3:15 Wed

Edelman, Alan, MS246, 4:25 Tue

Edwards, John, PP4, 4:30 Sun

Efendiev, Yalchin, MS290, 2:00 Wed

Ehrlacher, Virginie, MS224, 3:30 Tue

Eldred, Michael S., MS215, 3:30 Tue

Ellingson, Sally R., PP6, 4:30 Sun

Ellingwood, Nathan, PP4, 4:30 Sun

Elliott, James, MS134, 10:25 Mon

Elvetun, Ole Løseth, MS252, 4:50 Tue

Elwasif, Wael R., MS171, 2:20 Mon

Emad, Nahid, MS68, 5:50 Sat

Embree, Mark, MS108, 1:55 Sun

Emelianenko, Maria, PD0, 6:30 Sat

Emelianenko, Maria, PD0, 8:30 Sat

Emelianenko, Maria, MS202, 10:00 Tue

Emelianenko, Maria, MS226, 2:15 Tue

Emerson, David B., MS137, 9:35 Mon

Emory, Michael A., MS58, 5:25 Sat

Deslippe, Jack, MS234, 5:40 Tue

Despres, Bruno, MS48, 2:25 Sat

Detrixhe, Miles L., CP11, 10:10 Wed

Deveci, Mehmet, MS287, 2:25 Wed

Devendran, Dharshi, MS157, 1:30 Mon

Devine, Karen D., MS200, 10:00 Tue



DeVore, Ronald, MS81, 9:10 Sun

Dexter, Nick, MS240, 5:40 Tue

Di, Zichao, MS202, 10:00 Tue



Di Napoli, Edoardo A., MS273, 10:55 Wed

Di Napoli, Edoardo A., MS297, 2:00 Wed

Diachin, Lori A., MS201, 10:00 Tue

Diachin, Lori A., MS225, 2:15 Tue

Diaz, Julien, MS277, 11:20 Wed

Dietrich, J. Casey, MS230, 3:05 Tue

Dimarco, Giacomo, MS173, 2:45 Mon

DiStasio, Jr., Robert A., MS184, 10:25 Tue

Ditkowsky, Adi, MS10, 10:40 Sat

Dobson, Matthew, PP6, 4:30 Sun

Doelz, Juergen, MS159, 2:45 Mon

Dogan, Gunay, PP3, 4:30 Sun

Dogan, Gunay, MS226, 2:15 Tue

Dogdas, Belma, MS117, 1:30 Sun

Domingues, Margarete O., CP23, 10:10 Wed

Donev, Aleksandar, MS193, 10:50 Tue

Donev, Aleksandar, MS263, 10:55 Wed



Dong, Bo, MS23, 10:40 Sat

Dong, Suchuan, CP17, 9:10 Wed

Dongarra, Jack J., MS266, 10:55 Wed

Dongarra, Jack J., MS291, 2:00 Wed

Doostan, Alireza, MS191, 10:00 Tue






Ghosh, Debojyoti, MS228, 3:05 Tue

Ghysels, Pieter, MS266, 11:20 Wed

Gibou, Frederic G., MS196, 10:00 Tue




Gie, Gung-Min, MS268, 10:55 Wed



Giffen, Deena H., CP21, 9:55 Wed

Giles, Michael B., MS133, 9:10 Mon

Gillespie, Dirk, MS153, 10:00 Mon

Gillette, Andrew, PP207, 4:30 Mon

Gillman, Adrianna, MS48, 2:25 Sat

Gillman, Adrianna, MS73, 4:35 Sat

Gillman, Adrianna, MS203, 11:15 Tue

Gilyard, Julian, MS221, 3:05 Tue

Giraud, Luc, MS82, 9:10 Sun

Giraud, Luc, MS107, 1:30 Sun

Giraud, Luc, MS134, 9:10 Mon

Giraud, Luc, MS160, 1:30 Mon

Girolami, Mark, MS132, 10:00 Mon

Glas, Silke, MS285, 3:15 Wed

Glawe, Christoph, MS20, 11:30 Sat

Gleich, David F., MS1, 10:15 Sat

Gleich, David F., MS1, 10:15 Sat

Glimm, James G., MS233, 4:25 Tue

Gluck, Fred, MS232, 5:15 Tue

Gmeiner, Björn, MS221, 2:15 Tue

Go, Jaegwi, PP4, 4:30 Sun

Gobbert, Matthias K., MS197, 10:00 Tue

Gobbert, Matthias K., MS221, 2:15 Tue

Godinez, Humberto C., MS243, 5:40 Tue

Goldberg, Daniel, MS190, 10:25 Tue

Gonnet, Pedro, MS270, 11:20 Wed

Goodfriend, Lauren, MS102, 10:00 Sun

Gorman, Gerard J, MS128, 1:55 Sun

Graf, Jonathan, MS197, 10:00 Tue

Graham, Erica J., MS113, 1:30 Sun

Graham, Erica J., MS113, 1:30 Sun

GGadou, Mohamed, MS163, 2:20 Mon

Galagusz, Ryan, MS66, 5:25 Sat

Galanti, Barak, PP102, 4:30 Sun

Galaz, José, MS119, 2:18 Sun

Galvin-Donoghue, Mary, MS65, 5:50 Sat

Gambino, James R., PP1, 4:30 Sun

Gamell, Marc, MS107, 1:55 Sun

Gandham, Rajesh, MS294, 2:50 Wed

Ganesh, Mahadevan, CP16, 9:40 Wed

Ganguli, Surya, MS53, 5:25 Sat

Gansterer, Wilfried N., MS160, 2:45 Mon

Garcke, Jochen, MS185, 10:00 Tue

Gardner, Carl L., MS153, 9:10 Mon

Gardner, Carl L., MS153, 9:35 Mon

Gardner, David J., MS201, 10:25 Tue

Garg, Vikram, MS34, 3:15 Sat

Garrett, Charles K., PP105, 4:30 Sun

Garrett, Charles K., MS199, 10:00 Tue

Gaston, Derek R., MS182, 10:00 Tue

Gaston, Derek R., MS259, 10:55 Wed

Gaston, Derek R., MS284, 2:00 Wed

Gauger, Nicolas R., MS69, 4:35 Sat

Gauger, Nicolas R., MS86, 9:10 Sun



Gauger, Nicolas R., MS302, 2:00 Wed

Gawlik, Evan S., CP9, 9:25 Wed

Gazzola, Silvia, MS31, 2:50 Sat

Gelb, Anne, MS154, 9:35 Mon

Gentile, Ann, MS262, 11:20 Wed

Ghanem, Roger, MS240, 4:25 Tue

Ghattas, Omar, MS8, 10:15 Sat





Ghattas, Omar, PD0, 8:30 Sat

Ghattas, Omar, MS116, 1:30 Sun

Ghesmati, Arezou, PP8, 4:30 Sun

Gholaminejad, Amir, MS239, 5:40 Tue

Fischer, Paul F., MS128, 1:30 Sun

Flenner, Arjuna, MS3, 10:40 Sat

Flyer, Natasha, MS24, 10:15 Sat

Fogelson, Aaron L., MS16, 10:40 Sat

Fornasier, Massimo, MS7, 11:30 Sat

Forstall, Virginia, MS260, 11:45 Wed

Fountoulakis, Kimon, MS179, 2:20 Mon

Fountoulakis, Vasileios, PP15, 4:30 Mon

Fox, Alyson, CP2, 10:10 Wed

Fox, Rodney O., MS19, 10:40 Sat

Franchetti, Franz, MS283, 2:25 Wed

Franck, Isabell, CP5, 10:10 Wed

Francois, Marianne M., MS52, 5:00 Sat

Frank, Martin, MS19, 10:15 Sat



Frank, Martin, MS95, 9:10 Sun

Frank, Martin, MS120, 1:30 Sun

Frank, Martin, PP105, 4:30 Sun

Frank, Martin, MS147, 9:10 Mon

Frank, Martin, MS173, 1:30 Mon

Frank, Martin, MS199, 10:00 Tue

Frank, Martin, MS223, 2:15 Tue

Franzelin, Fabian, CP16, 9:10 Wed

Frazier, Peter I., MS183, 10:00 Tue

Frean, Daniel, MS228, 3:30 Tue

Friedhoff, Stephanie, MS261, 10:55 Wed

Friedlander, Michael, MS9, 10:40 Sat

Fringer, Oliver, MS230, 2:40 Tue

Frischknecht, Amalie, MS217, 3:05 Tue

Froese, Brittany, MS64, 5:50 Sat

Fromm, Bradley, MS259, 10:55 Wed

Fu, Guosheng, MS176, 1:55 Mon

Fukaya, Takeshi, MS63, 5:25 Sat

Funke, Simon W., PP204, 4:30 Mon

Funke, Simon W., MS229, 2:15 Tue



Fuselier, Edward, MS101, 10:25 Sun


Halappanavar, Mahantesh, MS256, 10:55 Wed



Hall, David M., MS272, 11:45 Wed

Hall, Mary, MS258, 11:45 Wed

Ham, David, PP204, 4:30 Mon

Ham, David, MS207, 10:00 Tue



Hamlet, Christina, MS16, 11:30 Sat

Hammett, Greg, PP105, 4:30 Sun

Hampton, Jerrad, MS238, 4:25 Tue

Hangelbroek, Thomas C., MS101, 9:35 Sun

Hansen, Anders, MS276, 10:55 Wed

Hansen, Anders, MS300, 2:00 Wed

Hansen, Glen, MS304, 2:00 Wed

Hansen, Michael A., PP9, 4:30 Mon

Harmon, Michael D., PP7, 4:30 Sun

Hasler, Jennifer, MS153, 10:25 Mon

Hauck, Cory, MS19, 10:15 Sat



Hauck, Cory, MS95, 9:10 Sun

Hauck, Cory, MS120, 1:30 Sun

Hauck, Cory, MS147, 9:10 Mon

Hauck, Cory, MS173, 1:30 Mon

Hauck, Cory, MS199, 10:00 Tue

Hauck, Cory, MS223, 2:15 Tue

Hawkins-Daarud, Andrea, MS166, 1:55 Mon

Hawkins-Daarud, Andrea, MS239, 5:15 Tue

Haynes, Ronald, MS237, 5:40 Tue

Haynes, Ronald, MS261, 10:55 Wed

Haynes, Ronald, MS286, 2:00 Wed

He, Cuiyu, PP8, 4:30 Sun

He, Cuiyu, MS178, 2:20 Mon

He, Cuiyu, PP10, 4:30 Mon

He, Xiaoming, MS208, 2:15 Tue

He, Xiaoming, MS233, 4:25 Tue

Guittet, Arthur, CP17, 9:40 Wed

Günther, Stefanie, MS69, 5:25 Sat

Gunzburger, Max, MS81, 9:10 Sun

Gunzburger, Max, MS106, 1:30 Sun

Gunzburger, Max, MS133, 9:10 Mon

Gunzburger, Max, MS159, 1:30 Mon

Gunzburger, Max, PP201, 4:30 Mon

Gunzburger, Max, MS185, 10:00 Tue

Guo, Hanliang, MS22, 11:30 Sat

Guo, Hong, CP11, 9:25 Wed

Guo, Wei, PP105, 4:30 Sun

Guthrey, Pierson, CP12, 9:55 Wed

Guzzetti, Sofia, CP21, 10:10 Wed

HHöft, Thomas, PP6, 4:30 Sun

Haack, Jeffrey, MS120, 1:55 Sun

Haario, Heikki, MS59, 5:50 Sat

Haasdonk, Bernard, MS4, 10:15 Sat

Haasdonk, Bernard, MS148, 9:10 Mon

Haasdonk, Bernard, MS174, 1:30 Mon

Haber, Eldad, MS91, 9:10 Sun



Haber, Eldad, MS143, 9:10 Mon

Haber, Eldad, MS169, 1:30 Mon

Haber, Eldad, PD5, 12:45 Tue

Haber, Eldad, MS246, 4:25 Tue

Haberl, Alexander, MS227, 3:05 Tue

Hadri, Bilel, MS93, 9:10 Sun

Hadri, Bilel, MS118, 1:30 Sun

Hagstrom, Thomas M., MS277, 10:55 Wed



Haidar, Azzam, MS12, 10:15 Sat




Hajghassem, Mona, PP3, 4:30 Sun

Hakim, Ammar, MS95, 10:00 Sun

Graham, Lindley C., MS84, 9:35 Sun

Graham, Lindley C., PP101, 4:30 Sun

Gramacy, Robert, MS183, 10:25 Tue

Grandine, Thomas A., PD0, 6:30 Sat

Grandine, Tom, PD1, 12:15 Sat

Grant, Zachary J., PP10, 4:30 Mon

Grant, Zachary J., MS212, 3:30 Tue

Granzow, Brian, PP103, 4:30 Sun

Granzow, Brian, MS225, 3:05 Tue

Grasedyck, Lars, MS56, 5:00 Sat

Gratadour, Damien, MS93, 10:00 Sun

Graziani, Frank, MS147, 9:10 Mon

Greenspan, Elizabeth, PD5, 12:45 Tue

Greif, Chen, MS83, 10:00 Sun

Griewank, Andreas, MS194, 10:50 Tue

Griffith, Boyce, MS16, 11:05 Sat

Grigori, Laura, MS141, 9:10 Mon

Grimm, Alexander, MS143, 9:35 Mon

Grindeanu, Iulian, PP1, 4:30 Sun

Gropp, William D., PP204, 4:30 Mon

Grotendorst, Johannes, CP3, 10:10 Wed

Groth, Clinton P., MS295, 3:15 Wed

Grove, John W., MS208, 2:40 Tue

Grove, Ryan R., PP2, 4:30 Sun

Gu, Li, PP201, 4:30 Mon

Gu, Tongxiang, CP7, 9:40 Wed

Gu, Xiaojun, MS248, 4:25 Tue

Guarin Zapata, Nicolas, PP4, 4:30 Sun

Guenther, Michael, MS6, 10:15 Sat

Guenther, Michael, MS136, 9:10 Mon

Guenther, Michael, MS162, 1:30 Mon

Guenther, Michael, MS188, 10:00 Tue



Guerra, Jorge E., MS272, 11:20 Wed

Gugercin, Serkan, MS91, 9:10 Sun

Gugercin, Serkan, MS116, 1:30 Sun

Gugercin, Serkan, MS143, 9:10 Mon



Gugercin, Serkan, MS211, 3:05 Tue


Howell, Jason, CP18, 9:10 Wed

Hu, Guanghui, MS204, 11:15 Tue

Hu, Jingwei, MS45, 3:40 Sat

Hu, Jonathan J., PP103, 4:30 Sun

Hu, Jonathan J., MS149, 9:35 Mon

Hu, Jun, MS152, 10:25 Mon

Hu, Jun, PP207, 4:30 Mon

Hu, Xiaozhe, MS11, 10:40 Sat

Hu, Zhicheng, MS248, 4:25 Tue

Huang, Chen, MS234, 4:50 Tue

Huang, Chen, CP1, 9:25 Wed

Huang, Jianjun, CP21, 9:40 Wed

Huang, Zhenyu, MS281, 2:00 Wed

Huckle, Thomas K., CP6, 10:10 Wed

Humpherys, Jeffrey, MS222, 3:05 Tue

Humpherys, Jeffrey, MS280, 3:15 Wed

Humphrey, Alan, PP206, 4:30 Mon

Hunter, Blake, MS3, 11:05 Sat

Hutchins, John T., PP2, 4:30 Sun

Huybrechs, Daan, MS154, 9:10 Mon

Huybrechs, Daan, MS180, 1:30 Mon

Hysing, Johan S., CP19, 9:55 Wed

IIaccarino, Gianluca, MS161, 1:30 Mon

Ibanez, Dan A., MS97, 9:10 Sun

Ibanez, Dan A., PP103, 4:30 Sun

Ibeid, Huda, MS73, 5:00 Sat

Ibrahima, Fayadhoi, PP5, 4:30 Sun

Iglesias, Marco, MS59, 5:25 Sat

Iliescu, Traian, MS211, 2:15 Tue

Imakura, Akira, MS134, 9:10 Mon

Imamura, Toshiyuki, MS258, 10:55 Wed



Imbert-Gérard, Lise-Marie, MS48, 2:25 Sat



Ipsen, Ilse, MS266, 11:45 Wed

Irish, Jennifer L., MS166, 1:30 Mon

Higgins, Raegan, MS192, 10:00 Tue

Higgins, Raegan, MS216, 2:15 Tue

Higham, Nicholas J., PD5, 12:45 Tue

Higueras, Inmaculada, MS188, 11:15 Tue

Hill, Chris, MS190, 11:15 Tue

Hillewaert, Koen, MS67, 4:35 Sat

Hillewaert, Koen, MS67, 4:35 Sat

Himpe, Christian, MS116, 1:55 Sun

Himpe, Christian, PP5, 4:30 Sun

Hittinger, Jeffrey A., PD0, 8:30 Sat

Hittinger, Jeffrey A., MS186, 10:00 Tue

Hittinger, Jeffrey A., MS210, 2:15 Tue

Ho, Kenneth L., MS74, 4:35 Sat

Ho, Nguyenho, PP9, 4:30 Mon

Hoefler, Torsten, MS262, 10:55 Wed

Hoefler, Torsten, MS287, 2:00 Wed

Hoemmen, Mark, MS108, 2:20 Sun

Hoffman, Bill, MS77, 4:35 Sat

Hoffman, Bill, MS77, 4:35 Sat

Hoffman, Johan, PP204, 4:30 Mon

Hoffmann, Franz M., MS22, 11:05 Sat

Hogg, Jonathan, MS163, 1:55 Mon

Hohenegger, Christel, MS96, 9:10 Sun

Hohenegger, Christel, MS122, 1:30 Sun

Holgado, Aaron M., PP5, 4:30 Sun

Hollingsworth, Jeffery, MS258, 11:20 Wed

Holton, Douglas, MS299, 2:50 Wed

Holzaepfel, Aaron, PP105, 4:30 Sun

Horesh, Lior, MS74, 4:35 Sat

Horesh, Lior, MS91, 9:35 Sun

Horntrop, David J., CP22, 10:10 Wed

Horsch, Martin T., CP1, 10:10 Wed

Hoshino, Tetsuya, MS43, 2:50 Sat

Hötzer, Johannes, MS124, 1:55 Sun

Hou, Zhangshuan, CP16, 9:25 Wed

Hovland, Paul D., MS190, 10:00 Tue

Howard, Marylesa, MS144, 9:35 Mon

Howe, Bill, MS78, 10:00 Sun

Howell, Gary W., CP25, 9:55 Wed

Howell, Gary W., MS275, 10:55 Wed

He, Xiaoming, MS257, 10:55 Wed



He, Ying, MS44, 3:15 Sat

He, Ying, MS89, 9:35 Sun

Hebbur Venkata Subba Rao, Vishwas, MS190, 10:50 Tue

Heister, Timo, MS103, 9:35 Sun

Heister, Timo, MS155, 9:35 Mon

Heister, Timo, PP204, 4:30 Mon

Helenbrook, Brian, MS144, 10:00 Mon

Hellander, Andreas, MS90, 9:10 Sun

Hellander, Andreas, MS115, 1:30 Sun

Helzel, Christiane, MS130, 9:10 Mon

Henriksen, Ian D., PP6, 4:30 Sun

Henshaw, William, MS32, 2:50 Sat

Herbert-Voss, Ariel, MS146, 9:26 Mon

Heroux, Michael, MS17, 10:15 Sat




Heroux, Michael, MS82, 9:10 Sun



Heroux, Michael, MS134, 9:10 Mon

Heroux, Michael, MS160, 1:30 Mon

Heroux, Michael, PP204, 4:30 Mon

Herrmann, Marcus, MS52, 5:25 Sat

Herty, Michael, MS147, 10:25 Mon

Heryudono, Alfa, MS75, 5:50 Sat

Hess, Martin W., MS169, 2:20 Mon

Heuveline, Vincent, PD2, 12:15 Sun

Hewett, Russell, MS73, 5:50 Sat

Hewson, John C., MS20, 10:40 Sat

Hicken, Jason E., MS111, 1:55 Sun

Hicken, Jason E., MS205, 10:00 Tue

Hickernell, Fred J., MS159, 2:20 Mon

Higgins, Raegan, MS88, 9:10 Sun

Higgins, Raegan, MS113, 1:30 Sun

Higgins, Raegan, MS140, 9:10 Mon

Higgins, Raegan, MS166, 1:30 Mon


Karpinski, Stephan, MS182, 10:50 Tue

Katagiri, Takahiro, MS258, 10:55 Wed



Katsoulakis, Markos A., PP104, 4:30 Sun

Katz, Richard F., MS155, 9:10 Mon

Katz, Richard F., MS181, 1:30 Mon

Kaus, Boris, MS155, 10:25 Mon

Keasler, Jeff, MS17, 11:30 Sat

Keener, James P., MS26, 11:05 Sat

Kees, Chris, CP6, 9:40 Wed

Kekenes-Huskey, Peter, MS51, 2:50 Sat

Keller, Tobias, MS181, 2:45 Mon

Kelley, C.T., PD0, 6:30 Sat

Kelley, C.T., MS142, 9:10 Mon

Kelley, C.T., MS142, 9:10 Mon

Kennedy, Graeme, MS205, 10:00 Tue

Kennedy, Graeme, MS205, 10:00 Tue

Kent, Carson, MS58, 5:00 Sat

Kent, Paul, MS209, 3:30 Tue

Kenway, Gaetan, MS205, 11:15 Tue

Keppens, Rony, MS271, 11:20 Wed

Kerfriden, Pierre, MS4, 11:30 Sat

Ketcheson, David I., PP102, 4:30 Sun

Ketcheson, David I., MS212, 2:40 Tue

Kevlahan, Nicholas, MS41, 2:25 Sat

Kevrikidis, Yannis, MS28, 3:40 Sat

Keyes, David E., PD1, 12:15 Sat

Keyes, David E., MS93, 9:10 Sun

Keyes, David E., PD3, 12:15 Mon

Khabou, Amal, MS266, 12:10 Wed

Khan, Maryam, MS192, 10:25 Tue

Khatri, Shilpa, CP9, 10:10 Wed

Khuvis, Samuel, MS197, 10:50 Tue

Kilmer, Misha E., MS5, 10:15 Sat

Kilmer, Misha E., MS31, 2:25 Sat

Kilmer, Misha E., MS91, 9:10 Sun

Kilmer, Misha E., MS116, 1:30 Sun

Kilmer, Misha E., MS143, 9:10 Mon

Kilmer, Misha E., MS169, 1:30 Mon

Johansen, Hans, MS296, 2:25 Wed

Johansson, August, MS10, 11:30 Sat

Johnsen, Pete, MS118, 2:20 Sun

Johnson, Calvin W., MS61, 4:35 Sat

Johnson, Christopher, PD4, 12:45 Tue

Johnson, Christopher, MS247, 4:25 Tue

Jolivet, Pierre, MS226, 2:40 Tue

Jordan, Tobias, PP2, 4:30 Sun

Joseph-Ellison, Stacey, MS94, 9:10 Sun

Joseph-Ellison, Stacey, PP7, 4:30 Sun

Joshi, Sunnie, MS89, 10:00 Sun

Jouvet, Guillaume, MS46, 3:40 Sat

Jovanovic, Mihailo R., MS28, 2:50 Sat

Joyce, Kevin, MS170, 1:55 Mon

Ju, Lili, MS46, 3:15 Sat

Juckeland, Guido, MS235, 4:50 Tue

Jung, Chang-Yeol, MS293, 3:15 Wed

JZhu, Jiang, MS292, 2:00 Wed

KKabir, Humayun, MS221, 2:40 Tue

Kågström, Bo T., MS38, 2:25 Sat

Kahl, Karsten, MS254, 5:15 Tue

Kaiser, Eurika, MS2, 10:40 Sat

Kaizu, Kazunari, MS90, 10:25 Sun

Kalashnikova, Irina, MS46, 2:25 Sat



Kallemov, Bakytzhan, MS288, 2:50 Wed

Kandasamy, Manickam, CP14, 10:10 Wed

Kanner, Samuel, MS67, 5:25 Sat

Kanso, Eva, MS99, 10:25 Sun

Kaper, Hans G., MS14, 10:15 Sat



Kara, Rukiye, CP24, 9:55 Wed

Karimi, Saeid, PP10, 4:30 Mon

Karimi, Saeid, CP10, 9:40 Wed

Karlsson, Lars, MS38, 2:50 Sat

Karniadakis, George E., PP104, 4:30 Sun

Karpeyev, Dmitry A., PP204, 4:30 Mon

Isaac, Toby, MS71, 4:35 Sat

Iske, Armin, MS75, 5:25 Sat

Iturraran-Viveros, Ursula, PP6, 4:30 Sun

Ivan, Lucian, MS271, 10:55 Wed



JJackiewicz, Zdzislaw, MS212, 2:15 Tue

Jacquelin, Mathias, MS149, 10:25 Mon

Jafarpour, Benham, MS238, 4:50 Tue

Jain, Rajeev, MS121, 1:55 Sun

Jainta, Marcus, PP6, 4:30 Sun

Jakeman, John D., MS189, 10:00 Tue




Jalali, Alireza, MS150, 10:25 Mon

James, Doug L., MS260, 10:55 Wed

James, Richard, MS65, 4:35 Sat

Jameson, Antony, MS98, 9:10 Sun



Jameson, Antony, MS150, 9:10 Mon

Jameson, Antony, MS176, 1:30 Mon

Jandhyala, Vikram, MS54, 5:50 Sat

Jansen, Kenneth, PP103, 4:30 Sun

Jansen, Kenneth, MS225, 2:15 Tue

Jantsch, Peter, MS138, 10:00 Mon

Jeannot, Emmanuel, MS262, 12:10 Wed

Jefferson, Jennifer, MS58, 4:35 Sat

Jiahao, Chen, MS246, 4:25 Tue

Jiang, Jiahua, PP8, 4:30 Sun

Jiang, Jiahua, PP5, 4:30 Sun

Jiao, Xiangmin, MS121, 2:45 Sun

Jimack, Peter K., CP2, 9:25 Wed

Jimenez Bolanos, Silvia, MS113, 1:55 Sun

Jin, Shi, MS45, 3:15 Sat

Johansen, Hans, MS112, 1:30 Sun

Johansen, Hans, MS130, 9:10 Mon

Johansen, Hans, MS157, 1:30 Mon


Langtangen, Hans Petter, MS78, 9:35 Sun

Langtangen, Hans Petter, MS182, 10:00 Tue

Lapham, Gary, CP24, 9:40 Wed

Larson, Stephen, MS115, 1:55 Sun

Larsson, Elisabeth, MS75, 4:35 Sat

Lashuk, Ilya, MS137, 10:00 Mon

Lau, Stephen, PP6, 4:30 Sun

Laurent, Thomas, MS3, 11:30 Sat

Law, Kody, MS8, 10:40 Sat

Law, Kody, MS185, 10:25 Tue

Lazar, Emanuel A., CP1, 9:10 Wed

Lazarov, Boyan S., CP13, 10:10 Wed

Le, Ellen B., MS33, 2:25 Sat

Le-Dimet, Francois-Xavier L., MS194, 11:15 Tue

Lee, Junghoon, MS92, 10:25 Sun

Lee, Lik Chuan, MS76, 5:00 Sat

Lee, Young Ju, MS37, 3:40 Sat

Lee, Young-Ju, MS11, 10:15 Sat

Lee, Young-Ju, MS37, 2:25 Sat

Lefantzi, Sophia, MS161, 1:55 Mon

Leffell, Joshua I., PP6, 4:30 Sun

Lehto, Erik, MS50, 3:15 Sat

Leibs, Chris, MS137, 9:10 Mon

Leiderman, Karin, MS22, 10:15 Sat

Leiderman, Karin, MS122, 1:30 Sun

Leiderman, Karin, MS140, 9:35 Mon

Lermusiaux, Pierre F.J, MS218, 2:15 Tue

Leung, Calvin, MS172, 2:02 Mon

Leung, Vitus, MS262, 10:55 Wed



LeVeque, Randall, PP102, 4:30 Sun

Levy, Rachel, MS94, 9:10 Sun

Levy, Rachel, MS119, 1:30 Sun

Levy, Rachel, MS140, 10:00 Mon

Levy, Rachel, MS222, 2:15 Tue

Levy, Rachel, MS280, 2:25 Wed

Lewicka, Marta, MS14, 11:30 Sat

Lewis, Allison, MS218, 2:40 Tue

Leyffer, Sven, PD0, 6:30 Sat

Kordy, Michal A., PP6, 4:30 Sun

Koumoutsakos, Petros, MS158, 1:55 Mon

Kouri, Drew P., MS244, 5:40 Tue

Kouri, Drew P., MS274, 10:55 Wed

Kouri, Drew P., MS298, 2:00 Wed

Kowalski, Karol, MS234, 5:15 Tue

Kowitz, Christoph, PP11, 4:30 Mon

Kozdon, Jeremy E., MS102, 10:25 Sun

Kramer, Boris, PP11, 4:30 Mon

Krämer, Lukas, MS297, 2:25 Wed

Kraus, Michael, CP5, 9:40 Wed

Krause, Rolf, MS79, 9:10 Sun

Kreienbuehl, Andreas, MS261, 11:45 Wed

Kreiss, Gunilla, MS10, 10:15 Sat

Kreiss, Gunilla, MS36, 2:25 Sat

Kressner, Daniel, MS224, 2:15 Tue

Kressner, Daniel, MS249, 4:25 Tue

Krishnamurthy, Adarsh, MS76, 5:25 Sat

Krueger, Justin, MS169, 2:45 Mon

Ku, Seung-Hoe, MS201, 10:00 Tue

Kubatko, Ethan, MS206, 11:15 Tue

Kuberry, Paul A., PP203, 4:30 Mon

Kumar, Rakesh, PP2, 4:30 Sun

Kumar, Rakesh, CP23, 9:25 Wed

Kumari, Aradhana, PP8, 4:30 Sun

Kuo, Frances Y., MS159, 1:55 Mon

Kutz, J. Nathan, MS2, 10:15 Sat




Kuznetsov, Sergey V, CP4, 9:40 Wed

Kyei, Yaw, CP23, 9:10 Wed

LLadenheim, Scott, CP6, 9:10 Wed

Lafitte, Pauline, MS70, 4:35 Sat

Laguna, Ignacio, MS107, 2:20 Sun

Lahat, Dana, PP11, 4:30 Mon

Laiu, Ming Tse P., PP105, 4:30 Sun

Lambers, James V., MS5, 11:05 Sat

Kim, Changho, PP6, 4:30 Sun

Kim, Kyungjoo, MS193, 10:00 Tue




Kim, Mintae, MS12, 11:05 Sat

Kirby, Mike, MS128, 2:20 Sun

Kirby, Rob, MS207, 10:00 Tue

Kirby, Rob, MS231, 2:15 Tue

Kirby, Robert C., PP106, 4:30 Sun

Kitanidis, Peter K., MS34, 2:25 Sat

Klatt, Torbjörn, PP14, 4:30 Mon

Kloeckner, Andreas, PP106, 4:30 Sun

Kloeckner, Andreas, MS151, 9:10 Mon

Kloeckner, Andreas, MS177, 1:30 Mon

Kloeckner, Andreas, MS203, 10:00 Tue



Knap, Jaroslaw, CP1, 9:40 Wed

Knepley, Matthew G., MS181, 1:55 Mon

Knepley, Matthew G., PP204, 4:30 Mon

Knepley, Matthew, MS294, 2:00 Wed

Knight, Nicholas, MS38, 3:15 Sat

Koch, Zoe, MS172, 1:30 Mon

Koellermeier, Julian, PP105, 4:30 Sun

Koestler, Harald, MS124, 1:30 Sun

Koestler, Harald, MS239, 4:25 Tue

Kohn, Robert V., MS40, 2:25 Sat

Kolata, Bill, MS21, 2:25 Sat



Kolata, William G., MS21, 10:15 Sat

Kolata, William G., PD1, 12:15 Sat



Kolda, Tamara G., MS1, 10:15 Sat

Kolda, Tamara G., MS1, 10:40 Sat

Kolla, Hemanth, MS107, 2:45 Sun

Kong, Fande, CP6, 9:55 Wed

Kontos, Stavros, PP1, 4:30 Sun


Ltaief, Hatem, MS118, 1:30 Sun

Ltaief, Hatem, MS145, 9:10 Mon



Lu, Qiukai, MS121, 2:20 Sun

Lu, Tiao, MS15, 11:05 Sat

Lubin, Miles, MS246, 5:15 Tue

Luisier, Mathieu, MS209, 2:40 Tue

Lukaczyk, Trent W., MS33, 3:40 Sat

Luo, Songting, MS64, 4:35 Sat

Lupo Pasini, Massimiliano, MS210, 2:40 Tue

Lushi, Enkeleida, MS96, 9:10 Sun



Luszczek, Piotr, MS12, 10:15 Sat



Luszczek, Piotr, MS235, 4:25 Tue

Luttman, Aaron B., MS144, 9:10 Mon



Lydon, Elizabeth, PP8, 4:30 Sun

Lynn, Brianna, PP7, 4:30 Sun

Lyon, Mark, MS66, 5:50 Sat

Lyon, Mark, MS154, 10:00 Mon

MMa, Yian, MS193, 10:25 Tue

Ma, Yicong, MS37, 2:25 Sat

Mabuza, Sibusiso, PP1, 4:30 Sun

Maclachlan, Scott, MS261, 10:55 Wed

Maclachlan, Scott, MS286, 2:00 Wed

Madduri, Kamesh, MS250, 4:25 Tue

Maeda, Hiroshi, MS38, 3:40 Sat

Maggioni, Mauro, MS300, 2:50 Wed

Magruder, Caleb C., CP16, 10:10 Wed

Mahadevan, Vijay, MS175, 1:30 Mon

Mahadevan, Vijay, PP204, 4:30 Mon

Mahoney, Michael, MS291, 2:00 Wed

Main, Alex, MS57, 5:50 Sat

Mainini, Laura, MS55, 5:00 Sat

Lignell, David O., MS20, 10:15 Sat

Lignell, David O., MS20, 10:15 Sat

Lim, Grace, MS172, 2:50 Mon

Limogiannis, Nicolas, MS146, 10:30 Mon

Lin, Fu, MS179, 2:45 Mon

Lin, Fu, MS269, 10:55 Wed

Lin, Guang, MS213, 2:40 Tue

Lin, Junshan, MS44, 2:50 Sat

Lin, Lin, MS184, 10:00 Tue



Lin, Ning, MS206, 10:25 Tue

Lin, Paul, MS68, 5:00 Sat

Linder, Christian, PP6, 4:30 Sun

Lindner, Florian, PP6, 4:30 Sun

Lipnikov, Konstantin, PP202, 4:30 Mon

Lischke, Anna, CP9, 9:10 Wed

Litvinenko, Alexander, MS56, 4:35 Sat

Litvinenko, Alexander, PP5, 4:30 Sun

Litvinenko, Alexander, MS238, 5:15 Tue

Liu, Hong, MS299, 2:00 Wed

Liu, Hong, MS299, 2:00 Wed

Liu, James, MS265, 10:55 Wed

Liu, James, MS290, 2:00 Wed

Liu, Xing, MS63, 5:50 Sat

Liu, Yanchao, MS269, 11:45 Wed

Liu, Yuan, MS204, 10:00 Tue




Loeb, Andrew, PP15, 4:30 Mon

Loffeld, John, MS186, 10:00 Tue



Logg, Anders, PP204, 4:30 Mon

Lolla, Tapovan, PP5, 4:30 Sun

Long, Min, MS127, 2:20 Sun

Lopez, Anthony, MS198, 10:50 Tue

Lopez, Florent, MS145, 9:35 Mon

Lotfian, Zahra S., PP14, 4:30 Mon

Lotfian, Zahra S., CP18, 9:25 Wed

Ltaief, Hatem, MS93, 9:10 Sun

Leyffer, Sven, PD0, 8:30 Sat

Leyffer, Sven, MS179, 1:30 Mon

Leyffer, Sven, MS179, 1:30 Mon

Leyffer, Sven, MS244, 4:25 Tue

Leyffer, Sven, MS269, 10:55 Wed

Li, Bing, MS7, 11:05 Sat

Li, Fengyan, MS15, 10:15 Sat



Li, Fengyan, MS89, 9:10 Sun

Li, Fengyan, MS114, 1:30 Sun

Li, Gaojin, MS96, 10:00 Sun

Li, Guanglian, PP8, 4:30 Sun

Li, Harriet, MS91, 10:25 Sun

Li, Hengguang, MS11, 11:30 Sat

Li, Jichun, CP19, 10:10 Wed

Li, Jing-Rebecca, MS130, 10:25 Mon

Li, Longfei, MS32, 3:15 Sat

Li, Matthew T., CP19, 9:25 Wed

Li, Qin, MS120, 1:30 Sun

Li, Ruo, MS248, 4:50 Tue

Li, Shengtai, MS233, 5:15 Tue

Li, Xiaofei, PP6, 4:30 Sun

Li, Xiaolin, MS208, 2:15 Tue



Li, Xiaolin, MS257, 10:55 Wed

Li, Xiaolin, MS282, 2:00 Wed

Li, Xiaoye Sherry, PP103, 4:30 Sun

Li, Xiaoye Sherry, MS149, 10:00 Mon

Li, Xiaoye Sherry, MS266, 10:55 Wed

Li, Xiaoye Sherry, MS291, 2:00 Wed

Li, Xingjie, MS23, 11:05 Sat

Li, Xingjie, MS89, 10:25 Sun

Li, Xingliang, MS268, 11:20 Wed

Li, Zhen, PP104, 4:30 Sun

Li, Zhen, MS242, 5:40 Tue

Li, Zhijin, MS243, 4:25 Tue

Li, Zhilin, MS208, 3:30 Tue

Liang, Chunlei, MS123, 1:55 Sun

Liao, Li, CP3, 9:25 Wed

Lifflander, Jonathan, MS129, 10:00 Mon


Messina, Paul C., PP14, 4:30 Mon

Meyer, Francois G., MS29, 2:25 Sat

Meyer, Miriah, MS255, 11:20 Wed

Michalak, Anna, IP5, 8:15 Mon

Michalopoulou, Zoi-Heleni, PP7, 4:30 Sun

Miedlar, Agnieszka, CP25, 9:40 Wed

Mieussens, Luc, MS95, 10:25 Sun

Mignolet, Marc P., MS55, 5:50 Sat

Mikler, Armin, MS100, 9:35 Sun

Miller, Benjamin A., MS100, 9:10 Sun



Miller, Eric, MS5, 10:15 Sat

Miller, Eric, MS31, 2:25 Sat

Millman, Kenneth J., MS78, 9:10 Sun

Millman, Kenneth J., MS78, 9:10 Sun

Min, MiSun, MS18, 10:15 Sat

Min, MiSun, MS44, 2:25 Sat

Min, MiSun, MS89, 9:10 Sun

Min, MiSun, MS114, 1:30 Sun

Ming, Ju, MS282, 3:15 Wed

Minion, Michael, MS237, 4:50 Tue

Minkoff, Susan E., MS88, 9:10 Sun



Minkoff, Susan E., MS140, 9:10 Mon

Minkoff, Susan E., MS166, 1:30 Mon

Minkoff, Susan E., MS192, 10:00 Tue

Minkoff, Susan E., MS216, 2:15 Tue

Miras, Thomas, CP17, 9:25 Wed

Misra, Satyajayant, MS192, 10:50 Tue

Mitchell, Donna, MS216, 3:30 Tue

Mitchell, John A., PP15, 4:30 Mon

Mitchell, Lawrence, MS207, 11:15 Tue

Mitchell, William F., PP2, 4:30 Sun

Mitchell, William F., CP26, 9:25 Wed

Mitrano, Arthur, MS126, 2:45 Sun

Moe, Scott, PP10, 4:30 Mon

Mohamed, Mamdouh S., PP9, 4:30 Mon

Mohammad, Zakerzadeh, MS150, 9:35 Mon

Mohseni, Kamran, MS30, 3:40 Sat

Molavi Tabrizi, Amirhossein, PP7, 4:30 Sun

Mattis, Steven, MS84, 9:10 Sun



Maxey, Martin, PP104, 4:30 Sun

May, Dave A., MS155, 10:00 Mon

May, Elebeoba, MS13, 10:15 Sat

May, Elebeoba, MS39, 2:25 Sat

May, Sandra, MS157, 1:55 Mon

Mayo, Talea, MS166, 1:30 Mon

Mayo, Talea, MS166, 2:45 Mon

McClarren, Ryan G., MS19, 10:15 Sat



McClarren, Ryan G., MS95, 9:10 Sun

McClarren, Ryan G., MS120, 1:30 Sun

McClarren, Ryan G., PP105, 4:30 Sun

McClarren, Ryan G., MS147, 9:10 Mon

McClarren, Ryan G., MS173, 1:30 Mon

McClarren, Ryan, MS199, 10:00 Tue

McClarren, Ryan, MS223, 2:15 Tue

McCulloch, Andrew D., MS26, 10:15 Sat

McDonald, Eleanor, MS229, 3:30 Tue

McDonald, James, MS248, 5:15 Tue

Mcdougall, Damon, MS109, 2:20 Sun

McGraw, Carolyn, PP105, 4:30 Sun

Mcgregor, Duncan A., CP15, 9:10 Wed

McInnes, Lois Curfman, MS112, 1:30 Sun

McInnes, Lois Curfman, MS112, 1:30 Sun

McInnes, Lois Curfman, MS131, 9:10 Mon

McInnes, Lois Curfman, MS131, 10:00 Mon

McInnes, Lois Curfman, MS247, 4:25 Tue

McInnes, Lois Curfman, MS247, 4:25 Tue

Mead, Jodi, MS170, 2:45 Mon

Medina, David, PP106, 4:30 Sun

Medina, Francis P., MS88, 10:25 Sun

Medvinsky, Michael, MS36, 2:50 Sat

Mehl, Miriam, PP14, 4:30 Mon

Meidani, Hadi, CP5, 9:55 Wed

Meister, Oliver, MS270, 10:55 Wed

Meixner, Jessica, MS230, 3:30 Tue

Meng, Xiong, MS23, 11:30 Sat

Menhorn, Friedrich, PP5, 4:30 Sun

Maischak, Matthias, MS278, 11:20 Wed

Malhotra, Dhairya, MS177, 2:45 Mon

Mandli, Kyle T., MS102, 9:35 Sun

Mandli, Kyle T., MS270, 10:55 Wed

Mandli, Kyle T., MS294, 2:00 Wed

Mang, Andreas, MS214, 2:15 Tue



Mannan, Forest O., PP1, 4:30 Sun

Manning, Cammey Cole, PD0, 6:30 Sat

Manning, Cammey Cole, PD0, 8:30 Sat

Mansour, Hassan, MS224, 2:40 Tue

Manteuffel, Thomas, MS85, 9:10 Sun



Manteuffel, Thomas, MS137, 9:10 Mon

Manzini, Gianmarco, PP202, 4:30 Mon

Manzoni, Andrea, MS148, 9:10 Mon



Mardal, Kent-Andre, MS229, 2:15 Tue

Mardal, Kent-Andre, MS252, 4:25 Tue

Marquardt, Wolfgang, PD3, 12:15 Mon

Marques, Osni A., MS63, 4:35 Sat

Marques, Osni A., MS258, 10:55 Wed

Marques, Osni A., MS283, 2:00 Wed

Marshall, David, PD5, 12:45 Tue

Martin, Daniel, MS46, 2:25 Sat

Martin, Eileen R., PP14, 4:30 Mon

Martinsson, Gunnar, MS203, 10:25 Tue

Martinsson, Gunnar, MS291, 2:25 Wed

Mary, Theo, CP4, 9:55 Wed

Marzouk, Youssef M., MS8, 10:15 Sat



Marzouk, Youssef M., MS132, 9:35 Mon

Marzouk, Youssef M., MS183, 10:00 Tue

Masse, Danielle D., PP4, 4:30 Sun

Mathelin, Lionel, MS55, 5:25 Sat

Matthews, Christopher, MS259, 11:45 Wed

Matthies, Hermann, MS56, 4:35 Sat

Matthysen, Roel, PP11, 4:30 Mon


Nguyen, Thien Binh, MS293, 2:25 Wed

Nicholls, David P., MS18, 10:15 Sat



Nielsen, Eric, MS86, 10:25 Sun

Nobile, Fabio, MS106, 1:30 Sun

Nordaas, Magne, MS252, 5:15 Tue

Norton, Richard A., PP5, 4:30 Sun

Nourgaliev, Robert, MS220, 2:40 Tue

Nouy, Anthony, MS264, 11:45 Wed

OO’Connell, Meghan, MS143, 10:25 Mon

Oden, J. Tinsley, PD3, 12:15 Mon

Oesper, Layla, MS125, 1:55 Sun

Ohi, Yoshiharu, PP10, 4:30 Mon

Ohshima, Satoshi, MS43, 3:15 Sat

Okamoto, Naoya, PP9, 4:30 Mon

O’Leary, Patrick, MT2, 4:30 Mon

O’Leary, Patrick, PD1, 12:15 Sat

Olivares, Nicole, MS119, 2:34 Sun

Oliver, Todd, MS139, 9:10 Mon



Olson, Luke, PP205, 4:30 Mon

Olson, Luke, MS254, 4:25 Tue

Olson, Luke, MS254, 4:25 Tue

Olson, Sarah D., MS99, 10:00 Sun

Olvera De La Cruz, Monica, MS40, 2:50 Sat

Ommen, Jürgen, PP11, 4:30 Mon

O’Neill, Ben, MS286, 3:15 Wed

O’Neill, Kristin, MS21, 10:15 Sat



Onwunta, Akwum, MS252, 5:40 Tue

Opsomer, Peter, PP10, 4:30 Mon

Orban, Dominique, MS9, 10:15 Sat



Ortan, Alexandra, PP14, 4:30 Mon

Osborn, Sarah, MS138, 10:25 Mon

Oseledets, Ivan, MS224, 3:05 Tue

Osher, Stanley J., MS2, 11:05 Sat

Najm, Habib N., MS161, 1:30 Mon

Nakajima, Kengo, MS17, 10:15 Sat




Nance, James, PP6, 4:30 Sun

Narayan, Akil, MS191, 11:15 Tue

Narayanan, Sri Hari Krishn, MS190, 10:00 Tue

Narayanan, Sri Hari Krishn, MS190, 10:00 Tue

Narcowich, Francis J., MS50, 2:50 Sat

Nashed, Youssef, PP14, 4:30 Mon

Naumov, Maxim, MS163, 2:45 Mon

Nave, Jean-Christophe, MS66, 4:35 Sat

Navon, Ionel M., MS168, 1:30 Mon

Navon, Ionel M., MS168, 1:30 Mon

Navon, Ionel M., MS194, 10:00 Tue



Navon, Ionel M., MS267, 10:55 Wed

Navon, Ionel M., MS292, 2:00 Wed

Neckel, Tobias, MS34, 2:50 Sat

Neckel, Tobias, MS80, 9:10 Sun

Neckel, Tobias, MS105, 1:30 Sun

Nedich, Angelia, MS104, 1:30 Sun

Negri, Federico, MS174, 1:30 Mon

Neilan, Michael J., PP207, 4:30 Mon

Nemati Hayati, Arash, PP206, 4:30 Mon

Nemec, Marian, MS205, 10:50 Tue

Nestler, Franziska, CP20, 9:40 Wed

Neupane, Prapti, CP23, 9:55 Wed

Newman, Chris, MS147, 10:00 Mon

Nguyen, Cuong, MS62, 4:35 Sat

Nguyen, Cuong, MS87, 9:10 Sun

Nguyen, Cuong, MS87, 9:10 Sun

Nguyen, Hoa, MS13, 10:15 Sat





Nguyen, Hoang-Ngan, MS22, 10:15 Sat

Nguyen, Hoang-Ngan, MS22, 10:15 Sat

Molzahn, Daniel, MS269, 11:20 Wed

Monk, Peter B., MS278, 12:10 Wed

Morales Escalante, Jose A., CP12, 9:40 Wed

Morel, Jim E., MS156, 1:55 Mon

Morii, Youhi, PP14, 4:30 Mon

Morikuni, Keiichi, MS275, 11:20 Wed

Morlighem, Mathieu, MS71, 5:00 Sat

Morrisey, Thomas, PP15, 4:30 Mon

Morrison, Rebecca, MS74, 5:25 Sat

Morrison, Rebecca, MS166, 2:20 Mon

Morzfeld, Matthias, MS8, 10:15 Sat

Moser, Dieter, MS286, 2:00 Wed

Moser, Robert D., MS165, 1:30 Mon

Motamed, Mohammed, MS277, 11:45 Wed

Moulton, David, MS112, 2:20 Sun

Moxey, David, MS67, 5:50 Sat

Moxey, David, MS103, 9:10 Sun

Moxey, David, MS128, 1:30 Sun

Moxey, David, MS231, 3:05 Tue

Mu, Lin, MS265, 11:20 Wed

Mubayi, Anuj, MS192, 10:00 Tue

Mubayi, Anuj, MS192, 11:15 Tue

Mueller, Juliane, MS60, 4:35 Sat

Mueller, Juliane, MS60, 4:35 Sat

Müller, Benjamin, MS85, 9:10 Sun

Mundani, Ralf-Peter, MS294, 3:15 Wed

Munoz, Francisco, MS269, 10:55 Wed

Munson, Todd, MS269, 10:55 Wed

Münzenmaier, Steffen, MS110, 2:45 Sun

Murillo, Michael, MS199, 10:50 Tue

Müthing, Steffen, PP204, 4:30 Mon

Mycek, Paul, MS138, 9:10 Mon

Myers, Aaron, PP13, 4:30 Mon

Myers, Andrew, MS186, 10:00 Tue



NNadal-Quiros, Monica, PP12, 4:30 Mon

Nadarajah, Siva, MS98, 10:00 Sun

Nagy, James G., MS170, 2:20 Mon




Platte, Rodrigo B., MS180, 1:55 Mon

Plechac, Petr, MS164, 1:30 Mon

Plews, Julia A., PP14, 4:30 Mon

Polizzi, Eric, MS184, 10:00 Tue



Polizzi, Eric, MS273, 10:55 Wed

Polizzi, Eric, MS297, 2:00 Wed

Pollock, Sara, MS11, 11:05 Sat

Porcelli, Margherita, MS229, 2:40 Tue

Pothen, Alex, MS256, 10:55 Wed



Poulson, Jack L., MS12, 11:30 Sat

Poulson, Jack L., PP204, 4:30 Mon

Powell, Catherine, PP13, 4:30 Mon

Proctor, Joshua, MS2, 10:15 Sat


Proctor, Joshua L., MS28, 2:25 Sat


Proft, Jennifer, MS206, 10:00 Tue



Prokopenko, Andrey, CP8, 9:10 Wed

Pulch, Roland, MS183, 11:15 Tue

QQiu, Jingmei, MS19, 10:15 Sat

Qiu, Jingmei, MS45, 2:25 Sat

Qiu, Jingmei, MS70, 4:35 Sat

Qiu, Jingmei, MS89, 9:10 Sun




Qiu, Jingmei, PP105, 4:30 Sun

Qiu, Jingmei, MS147, 9:10 Mon

Qiu, Jingmei, MS173, 1:30 Mon

Qiu, Jingmei, MS199, 10:00 Tue

Qiu, Jingmei, MS223, 2:15 Tue

Qiu, Weifeng, MS62, 5:25 Sat

Qu, Zhilin, MS51, 2:25 Sat

Quaife, Bryan D., MS286, 2:25 Wed

Quenneville-Belair, Vincent, PP2, 4:30 Sun

Perego, Mauro, MS71, 5:25 Sat

Perego, Mauro, MS193, 10:00 Tue



Perez, Fernando, MS182, 11:15 Tue

Perez-Arancibia, Carlos A., MS18, 11:30 Sat

Perline, Kyle, PP13, 4:30 Mon

Persson, Per-Olof, MS123, 2:45 Sun

Pestana, Jennifer, MS83, 9:10 Sun



Peterka, Tom, MS255, 11:45 Wed

Peters, Bas, MS35, 2:25 Sat

Peters, Michael, MS185, 11:15 Tue

Peterson, Euguenia, PP15, 4:30 Mon

Peterson, Jacob, MS223, 3:30 Tue

Peterson, Kara, PP203, 4:30 Mon

Peterson, Kara, MS296, 3:15 Wed

Petiton, Serge G., MS17, 10:15 Sat




Petra, Cosmin G., MS195, 11:15 Tue

Petra, Noemi, MS46, 2:25 Sat



Petzold, Linda R., SP1, 8:30 Sat

Petzold, Linda R., MS115, 2:45 Sun

Pfluger, Dirk, MS185, 10:50 Tue

Phillips, Cynthia, PD1, 12:15 Sat

Phillips, Edward, MS295, 2:50 Wed

Phillips, Jeff, PD4, 12:45 Tue

Phipps, Eric, PP106, 4:30 Sun

Phipps, Eric, MS138, 9:10 Mon



Pilosov, Michael, PP14, 4:30 Mon

Pinar, Ali, MS195, 10:00 Tue

Pinar, Ali, MS219, 2:15 Tue

Pippig, Michael, PP6, 4:30 Sun

Piret, Cecile M., MS24, 11:30 Sat

Piret, Cecile M., MS154, 10:25 Mon

Plank, Gernot, MS26, 11:30 Sat

Osting, Braxton, MS3, 10:15 Sat

Osting, Braxton, MS29, 2:25 Sat

Otten, Matthew, MS18, 11:05 Sat

Ouaknin, Gaddiel, CP1, 9:55 Wed

Owen, J. Michael, MS167, 4:25 Tue

Owhadi, Houman, IP7, 8:15 Tue

Oxberry, Geoffrey M., MS285, 2:25 Wed

Ozyilmaz, Emre, PP15, 4:30 Mon

PPain, Christopher, MS267, 11:45 Wed

Palacios, Francisco, MS302, 2:00 Wed

Pan, Wenxiao, PP104, 4:30 Sun

Pan, Wenxiao, MS193, 10:00 Tue




Panagiotou, Eleni, MS114, 1:30 Sun

Panda, Nishant, MS109, 1:55 Sun

Panda, Nishant, PP101, 4:30 Sun

Panoff, Robert M., MS232, 4:25 Tue

Panoff, Robert M., MS232, 4:25 Tue

Papadimitriou, Costas, MS158, 2:45 Mon

Park, Hyeongkae, MS173, 1:30 Mon

Parno, Matthew, PP13, 4:30 Mon

Parno, Matthew, MS215, 2:40 Tue

Pask, John, MS184, 10:50 Tue

Pasquale, Laura, PP14, 4:30 Mon

Pathmanathan, Pras, MS51, 3:40 Sat

Patra, Abani K., MS139, 9:10 Mon

Patra, Abani K., MS165, 1:30 Mon

Paul-Dubois-Taine, Arthur, MS30, 2:50 Sat

Pawlak, Wojciech, PP1, 4:30 Sun

Pawlowski, Roger, MS142, 10:00 Mon

Payne, Joshua, MS304, 2:25 Wed

Peherstorfer, Benjamin, MS4, 10:15 Sat



Peherstorfer, Benjamin, MS260, 12:10 Wed

Pellegrini, Francois, MS287, 2:00 Wed

Peña, Antonio J., MS235, 5:15 Tue

Peng, Jun, MS251, 4:50 Tue

peng, Zhangli, MS242, 4:50 Tue


Ruthotto, Lars, MS116, 1:30 Sun

Ruthotto, Lars, MS143, 9:10 Mon

Ruthotto, Lars, MS169, 1:30 Mon

Ruthotto, Lars, MS214, 3:05 Tue



Ruuth, Steven, MS237, 5:15 Tue

Ryan, Sarah M., MS219, 2:15 Tue

Ryckelynck, David, MS30, 3:15 Sat

Rycroft, Chris H., MS220, 3:30 Tue

SSaad, Tony, PP206, 4:30 Mon

Saad, Tony, MS304, 2:50 Wed

Saad, Yousef, MS68, 5:25 Sat

Saad, Yousef, MS273, 10:55 Wed

Saad, Yousef, MS297, 2:00 Wed

Sachs, Ekkehard W., MS91, 10:00 Sun

Sachse, Frank B., MS26, 10:15 Sat



Sadanand, Chandrika, PP8, 4:30 Sun

Sadayappan, P, MS25, 11:30 Sat

Sadeghitohidi, Ana, PP11, 4:30 Mon

Sadek, Carol, MS146, 9:10 Mon

Sadre-Marandi, Farrah, PP10, 4:30 Mon

Safro, Ilya, MS226, 3:30 Tue

Safta, Cosmin, MS195, 10:00 Tue



Sahni, Onkar, MS201, 10:00 Tue



Saibaba, Arvind, MS5, 10:15 Sat



Sakkaplangkul, Puttha, PP10, 4:30 Mon

Salac, David, MS139, 9:10 Mon



Salgado, Abner J., MS48, 3:15 Sat

Ricketson, Lee F., MS223, 3:05 Tue

Ridzal, Denis, PP203, 4:30 Mon

Ridzal, Denis, MS274, 10:55 Wed

Rieger, Christian, MS126, 1:55 Sun

Ritter, Otto, MS117, 2:20 Sun

Rizzi, Francesco, MS160, 1:55 Mon

Roberts, Nathan, PP204, 4:30 Mon

Robinson, Allen C., MS156, 2:20 Mon

Rodrigo, Carmen, MS202, 11:15 Tue

Roe, Philip L., MS176, 1:30 Mon

Rogers, Ryan M., PP11, 4:30 Mon

Rognes, Marie E., MS207, 10:50 Tue



Rohrle, Oliver, MS85, 10:25 Sun

Roman, Bogdan, MS276, 12:10 Wed

Romero, Daniel, MS192, 10:00 Tue

Rossmanith, James A., MS271, 10:55 Wed



Rostami, Minghao W., PP9, 4:30 Mon

Rouet, Francois-Henry, MS291, 2:50 Wed

Rowley, Clarence, MS260, 11:20 Wed

Rozza, Gianluigi, MS168, 2:45 Mon

Rozza, Gianluigi, MS187, 10:00 Tue




Rozza, Gianluigi, MS260, 10:55 Wed

Rozza, Gianluigi, MS285, 2:00 Wed

Rudi, Johann, PP9, 4:30 Mon

Ruede, Ulrich J., MS80, 9:10 Sun

Ruede, Ulrich J., MS105, 1:30 Sun

Ruede, Ulrich J., MS131, 9:10 Mon

Ruede, Ulrich J., MS131, 9:10 Mon

Ruede, Ulrich J., MS197, 10:00 Tue

Ruede, Ulrich J., MS221, 2:15 Tue

Rukavishnikov, Viktor, CP19, 9:10 Wed

Runborg, Olof, MS301, 3:15 Wed

Rupard, Morgan, PP14, 4:30 Mon

Rupp, Karl, PP204, 4:30 Mon

Ruthotto, Lars, MS91, 9:10 Sun

RRabidoux, Scott, PP14, 4:30 Mon

Rachh, Manas, MS177, 1:55 Mon

Radunskaya, Ami, MS113, 1:30 Sun

Radunskaya, Ami, MS113, 2:45 Sun

Ragan-Kelley, Min, PP204, 4:30 Mon

Raghavan, Padma, PD3, 12:15 Mon

Ragusa, Jean C., PP2, 4:30 Sun

Ragusa, Jean C., MS284, 2:25 Wed

Rai, Prashant, MS213, 3:05 Tue

Rajamanickam, Siva, MS141, 9:35 Mon

Rajamanickam, Siva, MS200, 10:00 Tue

Rajamanickam, Siva, MS250, 4:25 Tue

Ramachandran, Prabhu, MS126, 2:20 Sun

Raman, Barani, MS54, 5:25 Sat

Ramet, Pierre, MS145, 9:10 Mon

Rana, Anirudh Singh, MS248, 5:40 Tue

Ranjan, Harsh, PP9, 4:30 Mon

Rappoport, Juri M., PP14, 4:30 Mon

Rastigejev, Yevgenii, CP24, 9:25 Wed

Ratnaswamy, Vishagan, PP13, 4:30 Mon

Rave, Stephan, MS236, 4:25 Tue

Ravindran, S.S., MS148, 10:00 Mon

Ray, Jaideep, MS161, 2:20 Mon

Ray, Navamita, MS97, 9:35 Sun

Reeves, Daniel B., PP12, 4:30 Mon

Reid, Andrew, PP14, 4:30 Mon

Reinarz, Anne, MS119, 1:46 Sun

Relton, Samuel, PP11, 4:30 Mon

Renaut, Rosemary A., MS31, 3:40 Sat

Rennich, Steven C., MS163, 1:30 Mon

Rennich, Steven C., MS163, 1:30 Mon

Resch, Michael, MS118, 1:55 Sun

Reshniak, Viktor, CP22, 9:55 Wed

Restrepo, Juan M., MS218, 3:05 Tue

Rey, Thomas, MS173, 2:20 Mon

Reynolds, Daniel R., MS175, 2:20 Mon

Rhebergen, Sander, MS155, 9:10 Mon



Richfield, Owen, PP9, 4:30 Mon

Ricketson, Lee F., PP10, 4:30 Mon


Shankar, Varun, MS75, 4:35 Sat

Shankar, Varun, MS101, 9:10 Sun

Shankar, Varun, MS126, 1:30 Sun

Shao, Meiyue, MS61, 4:35 Sat

Shao, Meiyue, MS61, 5:50 Sat

Shashkov, Mikhail, MS156, 1:30 Mon

Shashkov, Mikhail, MS156, 1:30 Mon

Shashkov, Mikhail, MS167, 4:25 Tue

Shen, Han-Wei, MS255, 10:55 Wed

Shen, Han-Wei, MS255, 12:10 Wed

Shen, Jiguang, MS62, 5:00 Sat

Shephard, Mark S., MS97, 9:10 Sun

Shephard, Mark S., MS121, 1:30 Sun

Sherwin, Spencer, MS103, 9:10 Sun

Sherwin, Spencer, MS128, 1:30 Sun

Sherwin, Spencer, MS150, 9:10 Mon

Shiflet, Angela B., MS232, 4:25 Tue

Shiflet, George W., MS232, 4:50 Tue

Shinar, Tamar, MS122, 2:20 Sun

Shirokoff, David, MS41, 2:25 Sat



Shoemaker, Christine A., MS60, 4:35 Sat

Shoemaker, Christine A., MS60, 5:50 Sat

Shu, Chi-Wang, MS157, 2:20 Mon

Shumlak, Uri, MS271, 12:10 Wed

Siebenborn, Martin, MS229, 3:05 Tue

Siefert, Christopher, PP203, 4:30 Mon

Silva, Claudio T., MS255, 10:55 Wed

Sime, Nathan, CP3, 9:10 Wed

Simons, Julie, MS113, 2:20 Sun

Simpson, Olivia, PP3, 4:30 Sun

Slattery, Stuart, MS210, 2:15 Tue

Slaughter, Andrew, MS259, 10:55 Wed

Slaughter, Andrew, MS284, 2:00 Wed

Slepcev, Dejan, MS29, 2:50 Sat

Sloan, Ian H., MS159, 1:30 Mon

Slota, George, MS250, 5:40 Tue

Smetana, Kathrin, CP18, 10:10 Wed

Smith, Cameron, MS97, 9:10 Sun

Smith, Cameron, MS121, 1:30 Sun

Sayas, Francisco J. J., MS278, 10:55 Wed

Sayas, Francisco J. J., MS303, 2:00 Wed

Saye, Robert, MS130, 9:35 Mon

Schärer, Roman P., PP105, 4:30 Sun

Schatz, Martin D., MS25, 10:15 Sat

Schatz, Martin D., MS25, 10:15 Sat

Schiavazzi, Daniele E., MS189, 11:15 Tue

Schilders, Wil, PD0, 8:30 Sat

Schlottbom, Matthias, MS19, 11:05 Sat

Schmidt, John A., MS129, 9:10 Mon

Schmidt, Kathleen, MS135, 10:25 Mon

Schneider, Kai, MS41, 2:50 Sat

Schneider, Reinhold, MS56, 5:25 Sat

Schofield, Elizabeth, MS222, 2:40 Tue

Schroder, Jacob B., MS261, 10:55 Wed



Schroeder, Chris, MS201, 10:50 Tue

Schroeder, Will, IP6, 11:20 Mon

Schulthess, Thomas C., MS12, 10:40 Sat

Schulthess, Thomas C., MS118, 1:30 Sun

Schulz, Martin, MS82, 10:25 Sun

Schulz, Volker H., MS69, 5:00 Sat

Schwab, Christoph, MS81, 9:35 Sun

Schwab, Christoph, MS215, 2:15 Tue

Schwartz, Fernando, PP4, 4:30 Sun

Schwartz, Fernando, CP26, 9:55 Wed

Schwendeman, Donald W., MS32, 3:40 Sat

Scovazzi, Guglielmo, MS57, 5:25 Sat

Seal, David C., MS120, 2:20 Sun

Sego, Landon H., MS54, 4:35 Sat

Sego, Landon H., MS54, 4:35 Sat

Seibold, Benjamin, MS70, 5:00 Sat

Seidel, Ed, PD3, 12:15 Mon

Semiyari, Hamid, PP10, 4:30 Mon

Sen, Arindam, PP9, 4:30 Mon

Senter, Michael, MS172, 2:34 Mon

Seol, E. Seegyoung, MS97, 10:25 Sun

Shankar, Sadasivan, MS65, 5:00 Sat




Salgado, Abner J., MS178, 1:55 Mon

Salinger, Andrew, MS225, 2:40 Tue

Salles, Nicolas, MS278, 10:55 Wed



Salomon, Julien, MS236, 4:50 Tue

Saltzman, Jeffrey, PD1, 12:15 Sat

Saltzman, Jeffrey, MS92, 9:10 Sun



Samatova, Nagiza, IP1, 9:00 Sat

Samulyak, Roman, CP23, 9:40 Wed

Sanchez-Uribe, Manuel A., PP203, 4:30 Mon

Sanchez-Uribe, Manuel A., MS282, 2:50 Wed

Sanchez-Vizuet, Tonatiuh, MS303, 2:00 Wed

Sandu, Adrian, MS136, 9:10 Mon




Sandu, Adrian, MS194, 10:00 Tue






Sandu, Adrian, MS267, 10:55 Wed

Sandu, Adrian, MS292, 2:00 Wed

Santosa, Fadil, MS44, 2:25 Sat

Saraswat, Jyoti, CP14, 9:10 Wed

Sargsyan, Khachik, MS135, 9:10 Mon

Sargsyan, Khachik, MS161, 1:30 Mon

Sargsyan, Khachik, MS189, 10:00 Tue



Sargsyan, Khachik, MS264, 11:20 Wed

Sariaydin, Selin, MS169, 1:55 Mon

Saunders, Michael A., MS35, 3:15 Sat

Sayadi, Taraneh, MS86, 9:10 Sun

Sayas, Francisco J. J., MS208, 3:05 Tue


Sutton, Oliver, PP202, 4:30 Mon

Svyatskiy, Daniil, PP2, 4:30 Sun

Swiler, Laura, MS164, 2:20 Mon

Sylvand, Guillaume, MS171, 2:45 Mon

Szyld, Daniel B., CP25, 9:10 Wed

TTaddei, Tommaso, MS285, 2:50 Wed

Taitano, William T., PP105, 4:30 Sun

Taitano, William T., MS199, 11:15 Tue

Takahashi, Daisuke, MS283, 2:50 Wed

Takaki, Nick, PP14, 4:30 Mon

Takaki, Tomohiro, MS124, 2:45 Sun

Takhtaganov, Timur, MS298, 2:50 Wed

Takizawa, Hiroyuki, MS258, 12:10 Wed

Talnikar, Chaitanya, MS111, 2:45 Sun

Tamellini, Lorenzo, MS215, 3:05 Tue

Tang, Hansong, CP16, 9:55 Wed

Tang, Qi, MS204, 10:00 Tue



Tang, Qi, MS271, 10:55 Wed



Tanguy, Sebastien, MS245, 4:50 Tue

Tani, Mattia, MS83, 10:25 Sun

Tartakovsky, Alexander, MS193, 11:15 Tue

Tausch, Johannes, MS278, 11:45 Wed

Teckentrup, Aretha, MS133, 9:35 Mon

Temam, Roger M., MS268, 10:55 Wed

Tempone, Raul F., MS191, 10:50 Tue

Tendulkar, Saurabh, MS121, 1:30 Sun

ter Maten, E. Jan W., MS162, 2:20 Mon

Teran, Joseph, MS196, 10:50 Tue

Teranishi, Keita, MS82, 9:10 Sun

Teranishi, Keita, MS107, 1:30 Sun

Teranishi, Keita, MS134, 9:10 Mon

Teranishi, Keita, MS160, 1:30 Mon

Terashima, Hiroshi, PP9, 4:30 Mon

Terejanu, Gabriel, MS139, 9:35 Mon

Terrasse, Isabelle, MS151, 10:25 Mon

Stefanescu, Razvan, MS168, 1:30 Mon

Stefanescu, Razvan, MS168, 1:55 Mon

Stefanescu, Razvan, MS194, 10:00 Tue



Stefanescu, Razvan, MS267, 10:55 Wed

Stefanescu, Razvan, MS292, 2:00 Wed

Steffen, Kyle R., MS10, 11:05 Sat

Stein, David, MS122, 1:55 Sun

Steiner, Johannes, MS79, 9:10 Sun

Steiner, Johannes, MS79, 9:10 Sun

Steinmetz, Philipp, PP15, 4:30 Mon

Sticko, Simon, MS36, 3:15 Sat

Still, Charles (Bert) H., MS279, 10:55 Wed

Still, Charles (Bert) H., MS304, 2:00 Wed

Stinchcombe, Adam, MS96, 10:25 Sun

Stinis, Panos, PP104, 4:30 Sun

Stobb, Michael T., CP20, 9:55 Wed

Stogner, Roy, MS165, 1:55 Mon

Stoyanov, Miroslav, MS134, 10:00 Mon

Strogies, Nikolai, PP15, 4:30 Mon

Strogies, Nikolai, CP14, 9:55 Wed

Stronz, James A., MS146, 9:42 Mon

Strzodka, Robert, MS221, 3:30 Tue

Sudret, Bruno, MS189, 10:00 Tue

Sun, Andy, MS219, 2:40 Tue

Sun, Pengtao, MS37, 2:50 Sat

Sundahl, Bryan E., PP14, 4:30 Mon

Sundar, Hari, MS62, 4:35 Sat

Sundar, Hari, MS62, 4:35 Sat

Sundar, Hari, MS87, 9:10 Sun

Sundnes, Joakim, MS76, 4:35 Sat

Sundnes, Joakim, MS76, 4:35 Sat

Surowiec, Thomas M., MS298, 2:00 Wed

Sussman, Daniel L., MS125, 2:20 Sun

Sussman, Mark, MS196, 10:00 Tue




Sutherland, James C., MS20, 11:05 Sat

Sutherland, James C., MS129, 10:25 Mon

Smith, Cameron, PP103, 4:30 Sun

Smith, Cameron, MS200, 10:00 Tue

Smith, Ralph C., MS33, 3:15 Sat

Smith, Ralph C., PD5, 12:45 Tue

Soane, Ana Maria, CP14, 9:25 Wed

Socha, Katherine, MS280, 2:50 Wed

Sockwell, Chad, PP15, 4:30 Mon

Solonen, Antti, MS33, 2:50 Sat

Somayajula, Sangeetha, MS117, 1:55 Sun

Sorensen, Danny C., MS28, 3:15 Sat

Sosonkina, Masha, MS61, 5:00 Sat

Sousedik, Bedrich, MS264, 12:10 Wed

Spantini, Alessio, MS8, 11:30 Sat

Spector, Michael, MS299, 2:00 Wed

Spector, Michael, MS299, 2:25 Wed

Spencer, Benjamin, MS259, 12:10 Wed

Spicer, Amy, MS94, 9:42 Sun

Spiller, Elaine, MS165, 2:45 Mon

Spiteri, Raymond J., MS136, 9:10 Mon

Spiteri, Raymond J., MS162, 1:30 Mon

Spiteri, Raymond J., MS188, 10:00 Tue




Springer, Daryl J., MS50, 3:40 Sat

Srinivasan, S, PP11, 4:30 Mon

Stadler, Georg, MS8, 10:15 Sat






Stafford, Shane, MS284, 2:00 Wed

Starinshak, David, MS167, 4:50 Tue

Stark, Philip B., MS78, 9:10 Sun

Starke, Gerhard, MS85, 9:10 Sun



Starke, Gerhard, MS137, 9:10 Mon

Stathopoulos, Andreas, MS297, 2:50 Wed

Steck, Sebastian, MS174, 2:20 Mon


Van Straalen, Brian, PP103, 4:30 Sun

Van Straalen, Brian, MS200, 10:00 Tue

Van ‘t Wout, Elwin, MS303, 3:15 Wed

Vandereycken, Bart, MS224, 2:15 Tue



Varduhn, Vasco, CP11, 9:55 Wed

Vaughan, Courtenay T., CP11, 9:10 Wed

Vazquez-Gonzalez, Thibaud, PP1, 4:30 Sun

Vecharynski, Eugene, MS273, 11:45 Wed

Veerapaneni, Shravan, MS151, 10:00 Mon

Venkatasubramanian, Vaithianathan, MS256, 10:55 Wed



Vermeire, Brian C., MS98, 9:10 Sun



Vermeire, Brian C., MS150, 9:10 Mon

Vermeire, Brian C., MS176, 1:30 Mon

Veroy-Grepl, Karen, MS211, 3:30 Tue

Vervliet, Nico, MS249, 5:40 Tue

Vidal-Codina, Ferran, MS183, 10:50 Tue

Villa, Umberto E., MS164, 1:55 Mon

Vincent, Peter E., MS98, 9:10 Sun



Vincent, Peter E., MS150, 9:10 Mon

Vincent, Peter E., MS176, 1:30 Mon

Vishnampet, Ramanathan, PP9, 4:30 Mon

Vogelius, Michael S., MS65, 5:25 Sat

Vogl, Chris, MS257, 11:45 Wed

Vogman, Genia, CP12, 9:10 Wed

Vokt, Joseph, PP11, 4:30 Mon

Volfovsky, Alexander, PP13, 4:30 Mon

Vollmer, Charlie, PP5, 4:30 Sun

Voth, Gregory, PP104, 4:30 Sun

Vuduc, Richard, MS27, 3:15 Sat

Vuik, Kees, CP6, 9:25 Wed

Turcksin, Bruno, MS207, 10:25 Tue

Turkiyyah, George M., PP102, 4:30 Sun

Turner, Peter R., MS146, 9:10 Mon

Turner, Peter R., MS172, 1:30 Mon

Turner, Peter R., MS280, 2:00 Wed

Turner, Peter R., MS280, 2:00 Wed

UUdagedara, Indika G., MS144, 10:25 Mon

Uddameri, Elma A., MS216, 2:15 Tue

Uddameri, Elma A., MS216, 3:05 Tue

Udell, Madeleine R., PP11, 4:30 Mon

Uekermann, Benjamin, MS6, 11:05 Sat

Ufimtsev, Vladimir, MS125, 1:30 Sun

Ulbrich, Michael, MS252, 4:25 Tue

Ullmann, Sebastian, PP13, 4:30 Mon

Ullrich, Paul, MS272, 10:55 Wed



Uminsky, David T., MS140, 9:10 Mon

Uminsky, David T., MS140, 10:25 Mon

Urban, Karsten, MS236, 5:15 Tue

Urombo, Jack, PP10, 4:30 Mon

Uryasev, Stan, MS298, 2:25 Wed

VVaaland, Uno B., CP13, 9:40 Wed

Valeev, Edward F., MS25, 11:05 Sat

Valiathan, Chandni, MS92, 9:35 Sun

Van Bloemen Waanders, Bart G., PP14, 4:30 Mon

Van Bloemen Waanders, Bart G., MS244, 4:50 Tue

Van Bloemen Waanders, Bart G., MS274, 10:55 Wed

Van Bloemen Waanders, Bart G., MS298, 2:00 Wed

van Gennip, Yves, MS29, 3:40 Sat

Van Huffel, Sabine, IP8, 11:50 Tue

van Leeuwen, Tristan, MS35, 3:40 Sat

Van Loan, Charles, MS25, 10:40 Sat

Van Straalen, Brian, MS127, 1:55 Sun

Terrel, Andy R., MT2, 10:25 Mon

Terzi, Evamaria, MS1, 11:30 Sat

Tezaur, Radek, MS48, 2:50 Sat

Thompson, Terese, PP9, 4:30 Mon

Thornock, Jeremy, PP206, 4:30 Mon

Thornton, Anthony R., MS181, 1:30 Mon

Thrush, Brandon D., MS146, 9:58 Mon

Thurston, Courtney E., PP7, 4:30 Sun

Tian, Xiaochuan, PP10, 4:30 Mon

Tobin, William R., MS250, 4:25 Tue

Tokman, Mayya, MS136, 10:25 Mon

Tomov, Stanimire, MS12, 10:15 Sat



Tomov, Vladimir, MS279, 11:20 Wed

Tornberg, Anna-Karin, MS22, 10:40 Sat

Toroczkai, Zoltan, MS1, 11:05 Sat

Torrilhon, Manuel, MS19, 11:30 Sat

Toth, Alexander R., PP14, 4:30 Mon

Toth, Gyula I., CP7, 9:10 Wed

Townsend, Alex, MS180, 2:20 Mon

Tranquilli, Paul, MS136, 10:00 Mon

Trask, Nathaniel, MS193, 10:00 Tue




Traub, Thomas, MS303, 2:25 Wed

Treister, Eran, CP2, 9:55 Wed

Trout, Charlotte M., MS232, 5:40 Tue

Tryggvason, Gretar, MS52, 4:35 Sat

Tryggvason, Gretar, MS52, 4:35 Sat

Tsang, Alan Cheng Hou, MS96, 9:35 Sun

Tsilifis, Panagiotis, PP208, 4:30 Mon

Tu, Jonathan H., MS99, 9:10 Sun

Tu, Jonathan H., MS99, 9:35 Sun

Tu, Shuang Z., MS176, 2:20 Mon

Tu, Xuemin, MS290, 2:50 Wed

Tuma, Miroslav, MS275, 11:45 Wed

Tuncer, Ozan, MS262, 11:45 Wed

Turc, Catalin, MS18, 10:40 Sat

Turcksin, Bruno, PP106, 4:30 Sun


Wilson, Greg, MT3, 2:15 Tue

Wilson, Greg, MT4, 4:25 Tue

Wirkus, Stephen, MS88, 9:10 Sun

Wirkus, Stephen, MS113, 1:30 Sun

Wirkus, Stephen, MS140, 9:10 Mon

Wirkus, Stephen, MS166, 1:30 Mon

Wirkus, Stephen, MS192, 10:00 Tue

Wirkus, Stephen, MS216, 2:15 Tue

Witherden, Freddie, MS128, 2:45 Sun

Wittmann, Roland, MS273, 11:20 Wed

Wojciechowski, Keith, PP2, 4:30 Sun

Wolf, Michael, MS200, 11:15 Tue

Wolfson-Pou, Jordi, MS197, 10:25 Tue

Womeldorff, Geoff, CP11, 9:40 Wed

Wong, Christopher, MS94, 9:58 Sun

Wong, Elizabeth, MS179, 1:55 Mon

Wong, Kwai L., CP3, 9:40 Wed

Wong, Tony E., PP13, 4:30 Mon

Wong, Yau Shu, MS268, 12:10 Wed

Woodring, Jonathan, MT1, 12:10 Wed

Woodring, Jonathan, MT1, 9:10 Sun

Woodring, Jonathan, MT2, 1:30 Sun

Woodward, Carol S., PD0, 6:30 Sat

Woodward, Carol S., PP103, 4:30 Sun

Woodward, Carol S., MS142, 9:35 Mon

Woodward, Carol S., MS162, 2:45 Mon

Woodward, Paul R., MS279, 10:55 Wed

Woopen, Michael, MS87, 10:25 Sun

Wortmann, Daniel, MS184, 11:15 Tue

Wright, Grady B., MS24, 10:15 Sat



Wright, Grady B., MS101, 9:10 Sun

Wright, Grady B., MS126, 1:30 Sun

Wrobel, Jacek, MS282, 2:00 Wed

Wu, Lingfei, PP15, 4:30 Mon

Wu, Lingfei, CP25, 9:25 Wed

Wu, Yuqi, MS55, 4:35 Sat

XXiao, Feng, MS196, 10:00 Tue

Xiao, Feng, MS220, 2:15 Tue

Watson, Jean-Paul, MS195, 10:00 Tue

Watson, Jean-Paul, MS219, 2:15 Tue

Webster, Clayton G., MS81, 9:10 Sun



Webster, Clayton G., MS133, 9:10 Mon

Webster, Clayton G., MS159, 1:30 Mon

Webster, Clayton G., PP201, 4:30 Mon

Webster, Clayton G., MS185, 10:00 Tue

Wei, Ermin, MS104, 2:20 Sun

Wei, Qi-Huo, MS42, 3:15 Sat

Weile, Daniel, MS303, 2:50 Wed

Weinzierl, Tobias, MS270, 10:55 Wed



Weiser, Martin, MS79, 10:00 Sun

Weiss, Robert, MS270, 11:45 Wed

Weller, Hilary, MS130, 10:00 Mon

Wen, Ci, PP15, 4:30 Mon

Weng, Tsui-Wei, PP5, 4:30 Sun

Westerink, Joannes, MS206, 10:50 Tue

Whitaker, Ross, MS54, 5:00 Sat

White, Ryan, MS94, 10:30 Sun

Whitehead, Jared P., MS293, 2:00 Wed

Wild, Stefan, MS60, 5:25 Sat

Wildey, Tim, PP13, 4:30 Mon

Willcox, Karen E., MS53, 5:50 Sat

Willcox, Karen E., MS131, 9:10 Mon

Willcox, Karen E., MS131, 9:35 Mon

Willert, Jeffrey A., MS19, 10:15 Sat



Willert, Jeffrey A., MS95, 9:10 Sun

Willert, Jeffrey A., MS120, 1:30 Sun

Willert, Jeffrey A., PP105, 4:30 Sun

Willert, Jeffrey A., MS147, 9:10 Mon

Willert, Jeffrey A., MS173, 1:30 Mon

Willert, Jeffrey A., MS199, 10:00 Tue

Willert, Jeffrey A., MS223, 2:15 Tue

Wilson, Anastasia B., PP12, 4:30 Mon

Wilson, Greg, MT3, 4:30 Mon

Wilson, Greg, MT4, 4:30 Mon

WWachtel, Andreas, MS119, 2:50 Sun

Walker, Homer F., MS142, 10:25 Mon

Wall, Samuel, MS76, 4:35 Sat

Wall, Samuel, MS76, 5:50 Sat

Walsh, Scott, MS84, 10:00 Sun

Walther, Andrea, MS69, 4:35 Sat

Walther, Andrea, MS69, 5:50 Sat

Waluga, Christian, MS93, 9:35 Sun

Wang, Jialei, PP11, 4:30 Mon

Wang, Jianxun, CP13, 9:10 Wed

Wang, Junping, PP207, 4:30 Mon

Wang, Junping, MS290, 2:25 Wed

Wang, Kainan, MS8, 11:05 Sat

Wang, Li, MS70, 5:25 Sat

Wang, Lu, MS226, 3:05 Tue

Wang, Mengdi, MS104, 2:45 Sun

Wang, Pochuan, CP7, 9:25 Wed

Wang, Qing, PP12, 4:30 Mon

Wang, Qiqi, MS86, 9:10 Sun

Wang, Qiqi, MS111, 1:30 Sun

Wang, Qiqi, MS202, 10:50 Tue

Wang, Ting, PP13, 4:30 Mon

Wang, Weichung, MS283, 3:15 Wed

Wang, Yanqiu, MS290, 3:15 Wed

Wang, Yaohong, CP21, 9:10 Wed

Wang, Ying, MS114, 1:55 Sun

Wang, Yuhang, PP12, 4:30 Mon

Wang, Zhijun, PP12, 4:30 Mon

Warburton, Tim, MS43, 2:25 Sat

Warburton, Timothy, MS103, 10:25 Sun

Ward, Joseph, MS50, 2:25 Sat

Ward, Rachel, MS106, 2:45 Sun

Ward, Rachel, MS213, 3:30 Tue

Wasilkowski, Grzegorz W., MS81, 10:25 Sun

Wathen, Andrew J., MS155, 9:10 Mon

Wathen, Andrew J., MS181, 1:30 Mon

Wathen, Andy, MS83, 9:10 Sun



Watkins, Daniel, PP13, 4:30 Mon

Watson, Cody, MS172, 1:46 Mon


Zhang, Linan, MS172, 2:18 Mon

Zhang, Mengping, MS228, 2:15 Tue

Zhang, Qinghai, MS245, 5:40 Tue

Zhang, Shangyou, MS265, 11:45 Wed

Zhang, Shun, MS152, 9:10 Mon



Zhang, Weijian, MS246, 5:40 Tue

Zhang, Xiangxiong, MS49, 3:15 Sat

Zhang, Xu, MS152, 9:35 Mon

Zhang, Xu, MS282, 2:25 Wed

Zhang, Yanzhi, CP20, 9:25 Wed

Zhang, Yin, MS249, 5:15 Tue

Zhang, Yongtao, MS204, 10:00 Tue

Zhang, Zheng, PP5, 4:30 Sun

Zhang, Zheng, MS289, 3:15 Wed

Zhao, Lin, PP9, 4:30 Mon

Zheng, Mengdi, MS240, 4:50 Tue

zheng, Wen, MS220, 3:05 Tue

Zhong, Xinghui, MS49, 3:40 Sat

Zhou, Aihui, MS234, 4:25 Tue

Zhou, Beckett, MS302, 2:50 Wed

Zhou, Dong, CP18, 9:40 Wed

Zhou, Tao, MS189, 10:50 Tue

Zhou, Tao, MS240, 5:15 Tue

Zhou, Yongcheng, MS257, 11:20 Wed

Zhu, Anna, MS94, 10:14 Sun

Zhu, Hongyu, MS292, 2:25 Wed

Zhu, Xueyu, MS289, 2:25 Wed

Zhu, Yunrong, MS11, 10:15 Sat



Zimmermann, Ralf, MS30, 2:25 Sat

Zorin, Denis, MS227, 2:40 Tue

Zosso, Dominique, MS3, 10:15 Sat

Zosso, Dominique, MS29, 2:25 Sat

Zulehner, Walter, MS229, 2:15 Tue

Zupanski, Milija, MS243, 4:50 Tue

Zwicknagl, Barbara, MS101, 9:10 Sun

Yano, Masayuki, MS187, 10:25 Tue

Ye, Xiu, MS265, 10:55 Wed

Yetkin, Emrullah Fatih, MS134, 9:35 Mon

Yin, Wotao, MS104, 1:30 Sun

Yin, Wotao, MS104, 1:55 Sun

Ying, Lexing, MS27, 3:40 Sat

Yokota, Rio, MS177, 1:30 Mon

Yonkee, Nathan, CP3, 9:55 Wed

Yoo, Yeonjoo, PP12, 4:30 Mon

Yordanov, Pencho, PP208, 4:30 Mon

Yordanov, Pencho, CP5, 9:25 Wed

Yoshimura, Shinobu, IP3, 8:15 Sun

Younes, Laurent, MS214, 2:15 Tue

Yu, Haijun, MS64, 5:25 Sat

Yu, Hui, MS15, 11:30 Sat

Yu, Lijun, PP12, 4:30 Mon

Yu, Yue, MS57, 5:00 Sat

Yu, Yue, MS114, 2:45 Sun

Yue, Pengtao, CP21, 9:25 Wed

ZZabaras, Nicholas, MS191, 10:25 Tue

Zabaras, Nicholas, CP5, 9:10 Wed

Zabaras, Nicholas, CP13, 9:25 Wed

Zaharatos, Brian, MS58, 5:50 Sat

Zahr, Matthew J., MS4, 11:05 Sat

Zakerzadeh, Seyed Hamed, CP10, 9:10 Wed

Zander, Elmar, MS238, 5:40 Tue

Zavala, Victor, MS244, 4:25 Tue

Zeng, Xianyi, CP18, 9:55 Wed

Zepeda-Núñez, Leonardo, MS119, 1:30 Sun

Zhang, Fan, PP14, 4:30 Mon

Zhang, Guannan, MS81, 9:10 Sun

Zhang, Guannan, MS106, 1:30 Sun

Zhang, Guannan, MS133, 9:10 Mon



Zhang, Guannan, PP201, 4:30 Mon

Zhang, Guannan, MS185, 10:00 Tue

Zhang, Hong, MS141, 10:25 Mon

Zhang, Hong, MS212, 3:05 Tue

Zhang, Hongxuan, MS254, 5:40 Tue



Xie, Xiaoping, MS265, 12:10 Wed

Xin, Zixing, MS241, 5:15 Tue

Xing, Yulong, PP105, 4:30 Sun

Xing, Yulong, MS257, 10:55 Wed

Xiu, Dongbin, MS191, 10:00 Tue




Xiu, Dongbin, MS264, 10:55 Wed

Xiu, Dongbin, MS289, 2:00 Wed

Xu, Jinchao, PP104, 4:30 Sun

Xu, Kun, MS64, 5:00 Sat

Xu, Ling, MS114, 2:20 Sun

Xu, Xiaowen, CP8, 9:40 Wed

Xu, Yangyang, MS249, 4:50 Tue

Xu, Yuanwei, PP13, 4:30 Mon

Xu, Zhengfu, MS251, 4:25 Tue

Xu, Zhiliang, MS204, 10:50 Tue

Xu, Zhiliang, MS233, 4:50 Tue

YYakovlev, Sergey B., MS87, 9:35 Sun

Yamanaka, Akinori, MS124, 2:20 Sun

Yamazaki, Ichitaro, MS291, 3:15 Wed

Yan, Bokai, MS120, 2:45 Sun

Yan, Jue, MS233, 5:40 Tue

Yang, Chao, MS184, 10:00 Tue



Yang, He, MS49, 2:25 Sat

Yang, Ulrike M., PP103, 4:30 Sun

Yang, Ulrike M., MS149, 9:10 Mon

Yang, Ulrike M., MS175, 1:30 Mon

Yang, Ulrike Meier, MS149, 9:10 Mon

Yang, Xiu, MS189, 10:25 Tue

Yang, Yang, MS23, 10:15 Sat



Yang, Yong, PP2, 4:30 Sun

Yang, Zhang, CP7, 9:55 Wed


Notes


RevenueRegistration Income $463,255

Total $463,255

ExpensesPrinting $12,200Organizing Committee $6,500Invited Speakers $42,600Food and Beverage $148,700AV Equipment/ Room Rental and Telecommunication $92,000Advertising $12,000Conference Labor (including benefits) $101,710Professional Services (Recording / Mobile App / Child Care) $27,700Other (supplies, staff travel, freight, misc.) $11,000Administrative $46,042Accounting/Distribution & Shipping $24,551Information Systems $44,267Customer Service $16,720

Conference BudgetSIAM Conference on Computational Science & Engineering

March 14 - 18, 2015Salt Lake City, UT

Expected Paid Attendance: 1374

$ ,Marketing $26,262Office Space (Building) $16,611Other SIAM Services $17,544

$646,407

($183,152)

$183,152$0

Estimated Support for Travel Awards not included above:Early Career and Students 83 $54,750

Net Conference Expense:

Support Provided by SIAM:

Total:

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