speakers of the third annual workshop on accelerating scientific
TRANSCRIPT
Speakers of the third Annual Workshop on Accelerating Scientific Applications Using GPUs
Prof. David Keyes David Keyes is Professor of Applied Mathematics and Computational Science at the King Abdullah University of Science and Technology and Director of the Extreme Computing Research Center, having served as the Dean of the Division of Computer, Electrical, and Mathematical Sciences and Engineering at KAUST for its first four years. Keyes graduated in Aerospace and Mechanical Sciences from Princeton in 1978 and earned a doctorate in Applied Mathematics from Harvard in 1984. He works at the algorithmic interface between parallel computing and the numerical analysis of partial differential equations. For his algorithmic influence in scientific simulation, Keyes has been recognized as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) and of the American Mathematical Society (AMS), with the Sidney Fernbach Award of the IEEE Computer Society, and with ACM’s Gordon Bell Prize. Author or editor of more than a dozen U.S. federal agency reports and member of several U.S. federal advisory committees on computational science and engineering and high performance computing, in 2011, Keyes received the SIAM Prize for Distinguished Service to the Profession. Dr. Timothy Lanfear Timothy Lanfear manages the European solution architecture and engineering team in NVIDIA’s Professional Solutions Group. He has twenty years’ experience in HPC, starting as a computational scientist in British Aerospace’s corporate research centre, and then moving to technical pre-‐sales roles with Hitachi, ClearSpeed, and most recently NVIDIA. He has a degree in Electrical Engineering and a PhD for research in the field of graph theory, both from Imperial College London. He is a Chartered Engineer and Member of the Institution of Engineering and Technology. Dr. Zouheir Rezki Zouheir is a Senior Research Scientist in the Computer, Electrical and Mathematical Sciences and Engineering Division at KAUST. Before joining KAUST in 2009, he was a Postdoctoral Research Fellow at University of British Columbia. During this time, he received the prestigious Postdoctoral Research Fellowship Grant: CA 30 K from The “Fonds Québecois de la recherché sur la nature et les technologies”, for research on Cognitive Radio Networks.
While he was finishing his PhD in 2008, he worked as a Research Professional with Laboratory for Communication and Micro-‐Electronic Integration (LACIME), in Montreal. His current research covers a wide range of topics in wireless communications and networking including security of data networks, energy-‐efficient communications, networking Infrastructures, performance limits of communications at low power regime and low complexity detection algorithms in cellular networks. In 2013, he has been elevated to the rank of Senior Member of IEEE. In 2014, he has been appointed Editor of IEEE Wireless Communications Letters. In 1994, He obtained the State Engineering Degree from École Nationale de l’Industrie Minérale (ENIM), Rabat, Morocco. In 2003, he received his Master degree (M. Eng.) with The Highest Distinction from École de Technologie Supérieure in Montreal. In 2008, he received his PhD from Polytechnique Montreal where his thesis was nominated for “Best Thesis of the Year”. For more details, please visit https://sites.google.com/site/zouheirrezki/home Dr. Hatem Ltaief Hatem is a Senior Research Scientist in the Extreme Computing Research Center at KAUST, where is also advising several KAUST students in their MS and PhD research. He received the engineering degree from Polytech Lyon at the University of Claude Bernard Lyon I, France, the MSc in applied mathematics at the University of Houston, and the PhD degree in computer science from the University of Houston. From 2008 to 2010, he was a Research Scientist in the Innovative Computing Laboratory in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He is part of the European Exascale Software Initiative (EESI) to build a European vision and roadmap to address the challenges of the new generation of massively parallel systems. He has various strategic partnerships with industries (Saudi Aramco, TOTAL, Intel, NVIDIA) as well as Universities and HPC Centers (University of Tennessee, INRIA Bordeaux, L’Observatoire de Paris, Barcelona Supercomputing Center). He is one of the main developers of the PLASMA and MAGMA numerical libraries, which target Intel Xeon Phi architecture. He is the (co)author of more than 40 journal / conference papers and book chapters. His research interests include parallel numerical algorithms, fault tolerant algorithms, parallel programming models, and performance optimizations for manycore architectures.
Ali Charara Ali is a PhD candidate in Computer Science at KAUST, and a member of the KAUST’s Extreme Computing Research Center, ACM and SIAM. He is interested in optimizing dense linear algebra for hybrid distributed memory systems equipped with GPUs. He also worked in the field of computer graphics and scientific visualization for several years. He received his MS degree in computer science from KAUST in 2011 and his BS from American University of Beirut in 1999. Prior to joining KAUST he worked as R&D manager, research engineer, and technical consultant at several companies in Lebanon for ten years. He also served as a Lecturer on advanced programming courses for two years. He expects to graduate in 2016. Wajih Boukaram Wajih is a fourth year student at KAUST, a PhD candidate in Computer Science, and a member of KAUST's Extreme Computing Research Center, ACM, and SIAM. He has worked on finite element codes, sparse direct solvers on multiple GPUs and scalable arithmetic for hierarchical matrices. He has done a research internship at NVIDIA and volunteered at the Supercomputing Conference. Wajih hails from Lebanon where he earned his Maîtrise in Computer Science at the Lebanese University of Fanar in 2007 and his M.S. in Computer Science from the American University of Beirut in 2010. He expects to graduate in December 2016. Brent Leback Brent Leback is the Service and Support Manager for PGI. He has worked in various positions over the last 31 years in HPC customer support, math library development, applications engineering and consulting at QTC, Axian, PGI, STMicroelectronics, and NVIDIA. He can be reached by e-‐mail at [email protected]. Niall O'Byrnes Niall is a member of the Research Applications team. He most recently worked with Intel where he was researching various ways of reconfiguring heterogeneous data centers running virtual machines according to workload compute and affinity requirements. In 2012, Niall completed his masters in High Performance Computing where he combined his interest in aerodynamics, sailing and computing to write a CUDA solver to study the turbulent aerodynamics from downwind sails. Niall has a background in Aerospace and Banking, working
with data programming and data portal development in both industries. Niall worked for a few start-‐ups, with one scaling from 20 to 120 employees in 12 months that developed software to deploy Linux on clustered hardware for a major US telecom to run their 4G network, and is now a competitor to “Mirantis." Niall is a keen sailor and mountain climber. He has completed 5 of the “Seven Summits," climbing the highest mountain on 5 of the 7 continents. He shifted his interest from cruising around the Adriatic to racing in 2009 when he started crewing on "Joker2” a J109 as bowman. They won the national championship twice and come second in the last 4 years. In 2012 they beat second place by 2 seconds over a 2 hour race. Anas Almousa Anas had his BSc and MSc degrees in Computer Engineering from Jordan University of science and technology -‐Jordan. Currently he is pursuing his PhD degree in King Fahd University of Petroleum and Minerals. He is exploring optimizations for automatic parallelizing frameworks. His current interest is in parallel computing and GPU optimizations. His fields of interests include cryptographic schemes, network security and Graph theory algorithms. Dr. Zhiyong Zhu Zhiyong received his PhD degree in physics from institute of physics, Chinese academy of sciences, in 2009. After that he has been working as postdoctoral fellows in the field of computational condensed matter physics in KAUST and EPFL. Since 2014, he has been working in KAUST supercomputing lab as a computational scientist. Dr. Saber Feki Saber Feki is a computational scientist at the KAUST Supercomputing Laboratory where he collaborates with various researchers in computational sciences and engineering including seismic imaging, computational fluid dynamics and electromagnetics. He also participates in giving training sessions and teaching various courses such as MPI and OpenACC. Saber received his PhD in computer science at the University of Houston in 2010. His research focused on automatic performance tuning using machine learning techniques. In 2011, he joined the oil and gas company TOTAL as an HPC Research Scientist working on seismic imaging application using different programming models including CAF, OpenACC and HMPP. His latest research interests include auto-‐tuning OpenACC applications, burst buffer technology and big data analytics.