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Technologies for the 21st Century Technologies for the 21st Century N A T I O N A L S C I E N C E A N D T E C H N O L O G Y C O U N C I L Supplement to the President’s FY 1998 Budget National Science and Technology Council Committee on Computing, Information, and Communications Supplement to the President’s FY 1998 Budget National Science and Technology Council Committee on Computing, Information, and Communications Computing, Information, and Communications Computing, Information, and Communications

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Page 1: Computing, Information, and Communications Technologies for … · 2009-01-29 · President Clinton established the National Science and Technology Council (NSTC) by Executive Order

Technologies for the 21st Century

Technologies for the 21st Century

NATIO

NALSCIENCE AND TECHNOLOGY

COU

NCI

L

Supplement to the President’s

FY 1998 Budget

National Science and Technology CouncilCommittee on Computing, Information, and Communications

Supplement to the President’s

FY 1998 Budget

National Science and Technology CouncilCommittee on Computing, Information, and Communications

Computing, Information, and CommunicationsComputing, Information, and Communications

Page 2: Computing, Information, and Communications Technologies for … · 2009-01-29 · President Clinton established the National Science and Technology Council (NSTC) by Executive Order

About the National Science and Technology Council:

President Clinton established the National Science and Technology Council (NSTC) by ExecutiveOrder on November 23, 1993. This cabinet-level council is the principal means for the President tocoordinate science, space, and technology policies across the Federal Government. NSTC acts as a“virtual agency” for science and technology to coordinate the diverse parts of the Federal researchand development enterprise. The NSTC is chaired by the President. Membership consists of the VicePresident, Assistant to the President for Science and Technology, Cabinet Secretaries, Agency Headswith significant science and technology responsibilities, and other White House officials.

An important objective of the NSTC is the establishment of clear national goals for Federal scienceand technology investments in areas ranging from information technologies and health research, toimproving transportation systems and strengthening fundamental research. The Council preparesresearch and development strategies that are coordinated across Federal agencies to form an invest-ment package that is aimed at accomplishing multiple national goals.

To obtain additional information regarding the NSTC, contact the NSTC Executive Secretariat at202-456-6100.

About the Office of Science and Technology Policy:

The Office of Science and Technology Policy (OSTP) was established by the National Science andTechnology Policy, Organization and Priorities Act of 1976. OSTP’s responsibilities include advisingthe President in policy formulation and budget development on all questions in which science andtechnology are important elements; articulating the President’s science and technology policies andprograms; and fostering strong partnerships among Federal, State, and local governments, and thescientific communities in industry and academe.

To obtain additional information regarding the OSTP, contact the OSTP Administrative Office at202-395-7347.

Cover Images

From top to bottom:

1. Properties of light nuclei (up to 40 neutrons and protons) are computed employingrealistic two- and three-nucleon interactions such as those illustrated here. (Page 9)

2. This image compares remotely sensed cloud data from the Geostationary OperationalEnvironmental Satellite (GOES) seen as white clouds at the bottom of the image with 3-D cloud data predicted by NCAR’s Mesoscale Meterological Model. (Page 14)

3. A close-up view of germanium pyramids and domes grown on silicon. Part of thenanoManipulator project. (Page 41)

4. Illustration depicting the collaborations involved in the Next Generation Internet initiative announced by President Clinton and Vice President Gore on October 10,1996. (Page 17)

5. Example of a patient’s record containing multidisciplinary images available over net-works to authorized health care providers. (Page 23)

6. A three-dimensional simulation of the jumping figure, the first of its kind, consumes800 CPU hours on an IBM SP2. (Page 29)

7. One view of a virtual city created using the Virtual Reality Modeling Language.Potential applications include treating acrophobia. (Page 27)

8. An abundance of free educational information is available to educators and studentsthrough the World Wide Web. (Page 34)

Page 3: Computing, Information, and Communications Technologies for … · 2009-01-29 · President Clinton established the National Science and Technology Council (NSTC) by Executive Order

, ,

TECHNOLOGIES

FOR THE

21ST CENTURY

A Report by the Committee on Computing, Information, and Communications

National Science and Technology Council

Page 4: Computing, Information, and Communications Technologies for … · 2009-01-29 · President Clinton established the National Science and Technology Council (NSTC) by Executive Order
Page 5: Computing, Information, and Communications Technologies for … · 2009-01-29 · President Clinton established the National Science and Technology Council (NSTC) by Executive Order

GIBBONS LETTER

Page 6: Computing, Information, and Communications Technologies for … · 2009-01-29 · President Clinton established the National Science and Technology Council (NSTC) by Executive Order
Page 7: Computing, Information, and Communications Technologies for … · 2009-01-29 · President Clinton established the National Science and Technology Council (NSTC) by Executive Order

v

Dr. Henry KellyActing Associate Director for TechnologyOffice of Science & Technology Policy

Dr. Juris HartmanisAssistant DirectorDirectorate for Computer and Information Science and

EngineeringNational Science Foundation

John DahmsAssociate Deputy Director for Administration for Information

ServicesCentral Intelligence Agency

Larry IrvingAdministrator, National Telecommunications and

Information AdministrationDepartment of Commerce

Dr. Ann MillerDirector for Information TechnologiesDepartment of Defense Research and Engineering

Dr. David L. TennenhouseDirector, Information Technology OfficeDefense Advanced Research Projects Agency

Dr. Linda G. RobertsSpecial Advisor on Educational TechnologyDepartment of Education

Dr. Gilbert WeigandDeputy Assistant Secretary, Strategic Computing &

SimulationDepartment of Energy

Dr. Gary J. FoleyDirector, National Exposure Research Lab Environmental Protection Agency

Robert WhiteheadAssociate Administrator for AeronauticsNational Aeronautics and Space Administration

Dr. Sally E. HoweActing DirectorNational Coordination Office for CIC

Thomas A. KalilSenior Director to the National Economic CouncilNational Economic Council

Dr. Donald A.B. LindbergDirector, National Library of MedicineNational Institutes of Health

George R. CotterChief ScientistNational Security Agency

Eric MacrisPolicy AnalystOffice of Management and Budget

E. Fenton CareyResearch and Special Programs Administration (RSPA)Office of Research, Technology & AnalysisDepartment of Transportation

Dr. Shukri WakidDirector, Information Technology Laboratory National Institute of Standards and TechnologyDepartment of Commerce

Dr. Richard H.F. JacksonDirector, Manufacturing Engineering LaboratoryDepartment of Commerce

David B. Nelson, Ph.D.Associate Director, Office of Computational and Technology

Research (OCTR)Department of Energy

Frank A. SchiermeierDirector, Atmospheric Modeling DivisionEnvironmental Protection Agency

Lee B. HolcombChief Information OfficerNational Aeronautics and Space Administration

Committee on Computing, Information, and Communications

Members

Alternate Members

Dr. Anita K. JonesChair through May 1997 — now vacant

Dr. Henry KellyWhite House Co-Chair

Dr. Juris HartmanisVice Chair

Lori A. PerineExecutive Secretary

Director, Defense Research and EngineeringDepartment of Defense

Acting Associate Director for TechnologyOffice of Science & Technology Policy

Assistant DirectorDirectorate for Computer and Information

Science and EngineeringNational Science Foundation

CCIC Executive SecretaryOffice of Science & Technology Policy

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vi

Computing, Information, andCommunications R&D Subcommittee

Acting Chair: Sally E. Howe

DARPA

Representative

David Tennenhouse

Alternate

Robert Lucas

NSF

Representative

Melvyn Ciment

Alternate

Gary W. Strong

NASA

Representative

Lee B. Holcomb

Alternates

William FeiereisenPhilip L. Milstead

DOE

Representative

David B. Nelson

Alternates

Daniel A. HitchcockNorm KreismanPaul H. Smith (DP)

NIH

Representative

Robert L. Martino

Alternates

Michael J. AckermanJudith L. Vaitukaitis

NSA

Representative

George R. Cotter

Alternate

Norman S. Glick

NIST

Representative

R. J. (Jerry) Linn

Alternate

Frederick C. Johnson

VA

Representative

Daniel L. Maloney

Alternate

Rebecca L. Kelley

ED

Representative

Linda G. Roberts

Alternate

Alexis T. Poliakoff

NOAA

Representative

Thomas N. Pyke, Jr.

Alternates

William T. TurnbullErnest J. Daddio

EPA

Representative

Joan H. Novak

Alternate

Robin L. Dennis

AHCPR

Representative

J. Michael Fitzmaurice

Alternate

Luis Kun

OMB

Eric L. Macris

OSTP

Henry A. KellyLori A. Perine

Applications Council

Chair:

Melvyn Ciment, NSF

PCA Working Groups:

High End Computing andComputation Working Group

Co-Chairs:Lee B. Holcomb, NASAPaul H. Smith, DOE

Large Scale Networking Working Group

Co-Chairs:George O. Strawn, NSFDavid B. Nelson, DOE

High Confidence SystemsWorking Group

Co-Chairs:Brian Snow, NSATeresa Lunt, DARPA

Human Centered SystemsWorking Group

Chair:Y.T. Chien, NSF

Vice Chairs:Michael J. Ackerman, NIHDavid Gunning, DARPA

Education, Training, and HumanResources Working Group

Chair:

John Cherniavsky, NSF

Computing, Information, and Communications R&D Subcommittee

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Table of Contents

Committee on Computing, Information, and Communications..........................................v

Computing, Information, and Communications Subcommittee ........................................vi

Table of Contents....................................................................................................................vii

Executive Summary ..................................................................................................................1Program Component Areas................................................................................................................................1High End Computing and Computation ..........................................................................................................2Large Scale Networking ......................................................................................................................................2

Next Generation Internet..............................................................................................................................3High Confidence Systems ..................................................................................................................................4Human Centered Systems ..................................................................................................................................4Education, Training, and Human Resources ....................................................................................................5Presidential Advisory Committee ......................................................................................................................5Applications Council ..........................................................................................................................................6Technology Policy Subcommittee ......................................................................................................................6FY 1997 Accomplishments and FY 1998 Goals ................................................................................................6

High End Computing and Computation ................................................................................7Key research and development areas..................................................................................................................7HECC goals ........................................................................................................................................................7

1. System software........................................................................................................................................82. Future generations computing research ................................................................................................83. Agency applications ................................................................................................................................94. Infrastructure for research ......................................................................................................................9

ACTS 9PACI ................................................................................................................................................................10ASCI’s Academic Strategic Alliance Centers ....................................................................................................11High Performance C++ ....................................................................................................................................11The M-Machine ................................................................................................................................................11National Compiler Infrastructure project ......................................................................................................12Parallelization of commercial engineering software ......................................................................................13Parallel system software tools ..........................................................................................................................13Computational Aerosciences Project ..............................................................................................................13Earth and Space Sciences project......................................................................................................................15Biomedical research ..........................................................................................................................................15Biomolecular computing ..................................................................................................................................15Supercomputing Research Program ................................................................................................................15Scalable Systems and Software..........................................................................................................................16Quorum ............................................................................................................................................................16

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Large Scale Networking..........................................................................................................17Goals and focus areas ........................................................................................................................................17The NGI Initiative ............................................................................................................................................17Today’s advanced federal networks ..................................................................................................................19Global Grid........................................................................................................................................................19Active Networks ................................................................................................................................................19Biomedical research ..........................................................................................................................................19Unified Medical Language System ..................................................................................................................20National Center for Biotechnology Information ............................................................................................20Crisis management............................................................................................................................................20

High Confidence Systems ......................................................................................................21Overview............................................................................................................................................................21INFOSEC ..........................................................................................................................................................21Secure operating system development program ............................................................................................22GRiDS: Intrusion Detection ............................................................................................................................22SAW: Secure Access Wrapper............................................................................................................................22TBA: Task-Based Authorization ......................................................................................................................23Secure All-Optical Networking ........................................................................................................................23Network infrastructure and security................................................................................................................23Protecting privacy for medical records ............................................................................................................24Reliable information ........................................................................................................................................24

Human Centered Systems ......................................................................................................25HuCS technologies............................................................................................................................................25Knowledge repositories ....................................................................................................................................25Collaboratories ..................................................................................................................................................26Regional Technology in Education Consortia ................................................................................................27Enabling multi-modal human-system interactions ........................................................................................27Virtual environments ........................................................................................................................................28Simulation of complex situations in planning and management ..................................................................29Telemedicine......................................................................................................................................................29Clinical decision support systems ....................................................................................................................29The Visible Human Project ..............................................................................................................................30SIMA: Systems Integration for Manufacturing Applications ........................................................................30

Education, Training, and Human Resources ........................................................................31Overview............................................................................................................................................................31Applications, tools, and collaborative research on learning technologies......................................................32Research grants..................................................................................................................................................32Innovative training............................................................................................................................................33Grants for health professionals ........................................................................................................................33K-12 Curriculum Products ..............................................................................................................................33Training for students, teachers, and faculty ....................................................................................................34Information dissemination ..............................................................................................................................34

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Table of Contents

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CIC R&D Highlights:

Digital Libraries Initiative ....................................................................................................35The Initiative ....................................................................................................................................................35Digital Video Library Project............................................................................................................................35Interoperability and DLITE..............................................................................................................................35Intelligent Access ..............................................................................................................................................35The Alexandria Project ....................................................................................................................................36Scientific literature on the Internet ..................................................................................................................36Interspace ..........................................................................................................................................................36Multimedia testbed of Earth and space science data ......................................................................................37Workshops ........................................................................................................................................................37

Human Brain Mapping through MEG ..................................................................................38MEG ................................................................................................................................................................38Dynamic brain visualization ............................................................................................................................38Functional Magnetic Resonance Imaging........................................................................................................38

nanoManipulator Surface Images ........................................................................................40The nanoManipulator project ..........................................................................................................................40

Information-driven Manufacturing......................................................................................42Systems Integration for Manufacturing Applications ....................................................................................42Manufacturing Systems Environment ............................................................................................................42Standards Development Environment ............................................................................................................43Testbeds/Technology Transfer Environment ..................................................................................................43

Environmental Modeling: Climate Change ..........................................................................44

Environmental Modeling: Air Quality ..................................................................................45Fine particles and health ..............................................................................................................................45Community Multi-scale Air Quality model ................................................................................................45

Presidential Advisory Committee on High Performance Computing and Communications, Information Technology,and the Next Generation Internet ............................................................................46

Computing, Information, and Communications Research Facilities ................................48

ix

Table of Contents

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CIC R&D Programs................................................................................................................50National Coordination Office (NCO) for CIC ............................................................................................50Presidential Advisory Committee ................................................................................................................51CIC R&D Subcommittee ..............................................................................................................................51Applications Council ....................................................................................................................................51Technology Policy Subcommittee ................................................................................................................52Federal Networking Council ........................................................................................................................52CIC Program Evaluation ..............................................................................................................................52Buy American Report....................................................................................................................................53Reports about CIC R&D Programs ..............................................................................................................53

CIC R&D Summary................................................................................................................54

Agency HPCC Budgets by Program Component Area ........................................................56

Glossary ..................................................................................................................................57

Contacts ..................................................................................................................................65

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Program Component Areas

1

Executive Summary

As the 21st century approaches, the rapid convergence ofcomputing, communications, and information technologypromises unprecedented opportunities for scientific discovery,

industrial progress, and societal benefit. The development of evermore powerful high-performance computers and effective low-costcomputers, advanced networking technologies, evolving softwaretechnologies, and the phenomenal growth of the World Wide Web areenabling unparalleled advances in science and engineering, as well asfacilitating the integration of information technology into themainstream of American life. Research in computing,communication, and information systems will be pivotal at thisunique juncture of technological, historical, and societal forces.

To meet the challenges of a radically new and technologicallydemanding century, the Federal Computing, Information, andCommunications (CIC) programs are investing in long-term researchand development (R&D) to advance computing, information, andcommunications in the United States. CIC R&D programs helpFederal departments and agencies to fulfill their evolving missions,assure the long-term national security, better understand and manageour physical environment, improve health care, help improve theteaching of our children, provide tools for lifelong training anddistance learning to our workforce, and sustain critical U.S. economiccompetitiveness.

These programs are an outgrowth of the highly successful,Congressionally-chartered High Performance Computing andCommunications (HPCC) initiative. That initiative was responsiblefor accelerating entry of the U.S. into the era of teraop computers,gigabyte networks, and computation-intensive science andengineering applications.

One of the nine committees of the National Science and TechnologyCouncil (NSTC), the Committee on Computing, Information, andCommunications (CCIC) — through its CIC R&D Subcommittee —coordinates R&D programs conducted by twelve Federal departmentsand agencies in cooperation with U.S. academia and industry. TheseR&D programs are organized into five Program Component Areas:

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High End Computing andComputation

Large Scale Networking

2

HECC High End Computing and Computation

LSN Large Scale Networking, including the Next Generation Internet Initiative

HCS High Confidence Systems

HuCS Human Centered Systems

ETHR Education, Training, and Human Resources

A brief synopsis of FY 1997 accomplishments and FY 1998 goals by PCAappears in this summary.

HECC R&D investments provide the foundation for 21st century U.S.leadership in high end computing. This R&D focuses on advances inhardware and software, and in algorithms for modeling and simulationneeded for computation- and information-intensive science and engineeringapplications. HECC research also explores advanced concepts in quantum,biological, and optical computing.

HECC R&D targets system software technology with an emphasis on theusability and effectiveness of teraflops-scale systems, future generationcomputing focusing on petaflops-scale computation and exabyte-level massstorage, the incorporation of HECC technologies into Federal agencyapplications, and the maintenance of a state-of-the-art HECC R&Dinfrastructure.

HECC programs support outstanding, leading-edge science and fosterinnovative solutions to complex computational problems. Select FY 1997HECC accomplishments highlighted in this report include advances insupercomputing technology, advances in design optimization techniques insuch critical areas as aircraft wing design, improved system for visualizingoutput from computations such as atmospheric and ocean models withcomposite images from the Geostationary Operational EnvironmentalSatellite (GOES), a more sophisticated understanding of the complexmodeling of molecular and nuclear structures, and advances in biologicalmodeling.

FY 1998 Federal investments in HECC will enable development of thedistributed, computation-intensive applications necessary to support futureU.S. science and engineering research, Government missions, economiccompetitiveness, and long-range national priorities.

FY 1998 LSN R&D, including the new Next Generation Internet (NGI)initiative, focuses on developing the landmark networking technologies andapplications that will keep the U.S. in the forefront of the informationrevolution. Key research areas include technologies and services that enableadvances in wireless, optical, mobile, and wireline network communications;networking software that enables information to be disseminated toindividuals, multicast to groups, or broadcast to an entire network; softwarefor efficient development and execution of scalable distributed applications;software components for distributed applications; and researchinfrastructure support and testbeds.

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Next Generation Internet

FY 1997 LSN R&D accomplishments include improvements in the advancedFederal networks that connect U.S. researchers and educators to computing,information, and scientific resources and facilities such as remote telescopes,microscopes, and advanced light sources; and support for networkingresearch in gigabit testbeds, optical fiber networks, adaptive networks, andpacketized video and voice. These accomplishments are enabling researchersto use distributed database architectures to access, for example, molecularbiology, biochemistry, and genetics data, such as GenBank, a key resource ofthe Human Genome Project.

There is little historical precedent for the swift and dramatic growth of theInternet, which, just a few short years ago, was a limited scientificcommunication network developed by the Government to facilitatecooperation among Federal researchers and the university researchcommunity. With its rapid adoption by the private sector, the Internet, whileremaining an important research tool, is now becoming a vital ingredient inmaintaining and increasing the scientific and commercial leadership of theU. S.

In the 21st century, the Internet will provide a powerful and versatileenvironment for business, education, culture, and entertainment. Sight,sound, and even touch will be integrated through powerful computers,displays, and networks. People will use this environment to work, study,bank, shop, entertain, and visit with each other. Whether at the office, athome, or traveling, the environment and its interface will be largely the same.Security, reliability, and privacy will be built in. Customers will be able tochoose among different levels of service at varying price points. Benefits ofthis dramatically different environment will include a more agile economy,improved health care - particularly in rural areas, less stress on theecosystem, easy access to life-long and distance learning, a greater choice ofplaces to live and work, and more opportunities to participate in thecommunity, the Nation, and the world.

The Next Generation Internet (NGI) initiative will be a primary focus ofLSN R&D beginning in FY 1998. Announced by President Clinton and VicePresident Gore on October 10, 1996, the NGI initiative will create afoundation for the more powerful and versatile networks of the 21st century.Based upon strong R&D programs across CIC agencies, NGI will fosterpartnerships among academia, industry, and Government that will keep theU.S. at the cutting-edge of information and communications technologies. Itwill accelerate the introduction of new networking services for ourbusinesses, schools, and homes. Agencies are already taking actions toaccomplish the initiative’s goals, which are

❏ Conducting experimental research in advanced network technologies

❏ Developing a Next Generation Internet testbed

❏ Creating revolutionary applications

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High Confidence Systems

Human Centered Systems

The Federal NGI initiative is closely related to Internet2, a collaborative effortby more than 100 U.S. research universities to create and sustain a leadingedge network capability enabling the creation of the broadband applications,engineering, and network management tools needed for advanced researchand education. While the goals of the NGI and Internet2 are complementaryand interdependent, they are clearly distinct. The NGI initiative is a Federalmission-driven R&D program, while Internet2 focuses on innovation inacademic research and education applications. The NGI initiative will createan experimental, wide area, scalable testbed to develop mission-criticalapplications; Internet2 will meet end-to-end performance requirements bydeveloping and deploying advanced network infrastructure. Much of thewide area testbed for Internet2 will be provided by the NGI initiative. Boththe NGI initiative and the Internet2 project will develop and test advancednetwork technologies not supported by today’s Internet, primarily throughNGI-funded research at Internet2 universities. Continued strongcoordination and communication between the Federal and academiccommunities will be crucial for the success of both programs.

HCS R&D focuses on the technologies necessary to achieve high levels ofsecurity, protection, availability, reliability, and restorability of informationservices. Systems that employ these technologies will be resistant tocomponent failure and malicious manipulation and will respond to damageor perceived threat by adaptation or reconfiguration.

High confidence technologies can be applied in the areas of system reliability,security and privacy, and testing and evaluation. With rapid advances in areasas disparate as Federal agency missions, health care, public safety, andmanufacturing, HCS technologies are proving more important than ever toassure the reliable, secure transmission of critical data.

FY 1997 HCS accomplishments include advances in making images availableover networks to authorized health care providers through the merging ofcomputerized patient record systems and telemedicine systems in a way thatassures integrity and confidentiality, and improvements in the reliability ofinformation exchange among manufacturing applications.

FY 1998 HCS R&D will focus on applications requiring HCS technologies,including protocols and mechanisms that allow intrusion detection systemsto share information, high assurance configurable security architectures,privacy protection methods for transmission of health data, and tools forassessing the vulnerability of source code.

The goal of HuCS R&D is increased accessibility and usability of computingsystems and communications networks. HuCS technologies are needed toassure that today’s rapid advances in computing, information, andcommunications continue to be readily accessible to Federal agencies and toall U.S. citizens no matter where they might live and work.

Select FY 1997 HuCS accomplishments include improvements in advancedvisualization techniques, such as the Climate Visualization System, aninteractive tool designed for examining online data at the National ClimaticData Center; advances in the multiagency Digital Libraries Research

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Education, Training, and Human Resources

Presidential AdvisoryCommittee

Initiative, which supports university-led research in the development ofadvanced methods for collecting, storing, and organizing information indigital form for network access; and advances in multi-agency supportedbasic research on multimodal interaction with computing systems, includingspeech, text, image, and multimedia advanced technology.

FY 1998 HuCS R&D areas include the continuing development of knowledgerepositories and information agents that sort, analyze, and present massiveamounts of multimedia and multi-source information; collaboratories thatprovide access to knowledge repositories and facilitate knowledge sharing,group authorship, and control of remote instruments; systems that enablemulti-modal human-system interactions including speech, touch, andgesture recognition and synthesis; and virtual reality environments and theiruse in scientific research, health care, manufacturing, and training.

ETHR R&D supports research to advance education and trainingtechnologies. The complex and technically challenging applications flowingfrom leading edge HECC and LSN R&D make it increasingly important fortoday’s students and professionals to update their education and training onan ongoing basis in order to exploit the latest technological advances. ETHRtechnologies focus on the user and will improve the quality of today’s scienceand engineering education, leading to more knowledgeable and productivecitizens and Federal employees.

Basic research and education remain foundations of the CIC R&D programs.FY 1997 ETHR accomplishments include improved access to information ontechnologies and resources for classroom use, including the ability to selectand copy teacher’s guides and activities for use at elementary, middle, andhigh school levels; and programs such as Telescopes in Education and 4-Winds that allow K-12 educators to bring astronomy and weatherprediction research into the classroom via the Internet.

FY 1998 ETHR research includes curriculum development, fellowships, andscholarships for computational, computer, and information scientists andengineers; the application of interdisciplinary research to learningtechnologies; and R&D in information-based learning tools, lifelonglearning, and distance learning - especially critical in bringing the latesteducational tools to isolated, rural, or underserved areas of the country.

Established on February 11, 1997 by Executive Order, the PresidentialAdvisory Committee on High Performance Computing andCommunications, Information Technology, and the Next GenerationInternet provides the NSTC, through the Director of the Office of Scienceand Technology Policy (OSTP), with an independent assessment of progressmade in implementing high end computing and communications andinformation technology programs, advice on revising components of theseprograms, and an evaluation of their effectiveness in helping the U. S.maintain leadership in advanced computing and communicationstechnologies and their applications. They will report on progress in designingand implementing the Next Generation Internet initiative. The distinguishedresearchers and industrial leaders on the Committee represent universities,the communications networking industry, the computing systems

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Applications Council

Technology PolicySubcommittee

FY 1997 Accomplishments andFY 1998 Goals

manufacturing industry, the entertainment industry, the software industry,the telecommunications industry, and applications communities includinglibraries and medicine.

The CCIC Applications Council promotes the early application of CCICtechnologies throughout the Federal government, and especially in non-R&Dorganizations. Crisis Management, FedStats, Universal Access, and NextGeneration Internet Applications Working Groups have been formed. Cross-disciplinary workshops including both creators and consumers of CCICresearch products are planned for FY 1998.

The Technology Policy Subcommittee of the CCIC succeeds the TechnologyPolicy Working Group of the Committee on Applications and Technology ofthe Information Infrastructure Task Force. It supports the CCIC byidentifying, studying, recommending, and, as appropriate, resolving relevantpolicy issues.

With science and technology advancing at an almost dizzying speed, it seemsat times that the 21st century has already arrived. Scientific breakthroughsthat used to take decades to develop now take years or months. The CICR&D programs are a driving force in information technologies, computing,and communications, and are a major component of America’s investment inits future, helping to maintain and widen the competitive lead that will keepour citizens productive well into the next century. The estimated FY 1997HPCC Program budget for the 12 participating Federal organizations was$1,008.5 million. For FY 1998, the President requested $1,103.7 million forthese same 12 organizations.

This report highlights many of these vital, ongoing efforts, focusing onrepresentative FY 1997 accomplishments, key FY 1998 research anddevelopment areas, and the budget crosscut. It also highlights areas of specialinterest that are even now changing the way we live.

This book and links to other Web sites can be found at http://www.ccic.gov/.

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Key research and development (R&D) areas

HECC goals:

HECC R&D investments provide the foundation for U.S.leadership in high end computing. HECC

research explores the advanced concepts in quantum, biological, andoptical computing that will keep the U.S. in the forefront ofcomputing breakthroughs for years to come through its hardware andsoftware innovations; algorithms for physical, chemical, and biologicalmodeling and simulation of these processes in complex systems; andinformation-intensive science and engineering applications.

HECC R&D targets four areas:

❐ System software technology focuses on improving the usabilityand effectiveness of teraflops-scale systems across a wide rangeof government, industry, and academic applications.

❐ Leading-edge research for future generation computing focuseson creating the technology necessary to achieve petaflops-scalecomputation and exabyte-level mass storage.

❐ Incorporation of high end technology into real applicationsfocuses on first use of HECC technologies in agencyapplications, the practice of high performance computationalscience, and the required underlying algorithms.

❐ Infrastructure for research in HECC focuses on computationalfacilities for research, large scale test systems, and highperformance networks, with a goal of maintaining a state-of-the-art infrastructure for HECC R&D.

Federal investments in all four of these areas will enable developmentof the distributed, computation-intensive applications necessary tosupport future U.S. science and engineering research, economiccompetitiveness, and national security priorities.

The medium range (three to five year) technology development goal forHECC R&D is the achievement of major improvements in usability andeffectiveness in teraflops-scale systems across a wide range of applications.Longer range goals (more than five years) include a firmer understanding of

7

High End Computing andComputation

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1. System software

2. Future generations computing research

the device technology, algorithms, and software that are required forpetaflops-level computation and exabyte-level mass storage.

HECC system software R&D will focus on developing parallel software tools,operating systems, program development environments, and performancemonitoring for use in distributed, scalable systems. These tools and systemsoftware will improve scalability, throughput, speedup, portability, andprogrammability. HECC R&D will support parallel systems software such asinnovative languages and their compilers, debuggers, performance monitors,scalable operating systems and I/O, program development environments,scientific visualization, data management, as well as frameworks to linksoftware components. Large scale data management will also require thedevelopment and adoption of new storage technologies ranging from exabytetape robots to large, fast, on-chip memory.

HECC will support research and technology necessary to achieve petaflops-level computation and exabyte-level mass storage by developing innovativetechnology for software, hardware, architecture, and components. Researchbased on the shared-memory programming model will create techniques toovercome memory latency through multithreading, better cachingalgorithms, or other means. R&D will also focus on software to support thesetechniques, applications design studies, architecture point design studies, andnew approaches to component technology. Also included in this area isresearch on transportable software technologies that scale the symmetricmultiprocessor systems currently available (with several to hundreds ofprocessors) to systems with very large numbers (tens of thousands) ofprocessors.

Concepts in the research stage include logic circuits based on currentsemiconducting materials as well as novel materials, such as low and hightemperature superconductors, and quantum mechanics-based devices, suchas rapid single-flux quantum devices used for logic circuits and memories.Research will be conducted on the technological, algorithmic, andarchitectural foundations for amorphous computing with programmablematerials. Other promising research concepts are on- and off-chipinterconnections based on guided optics that employ wavelength divisionmultiplexing, and massive holographic optical memory devices for massstorage. Basic research will be conducted on innovative logic devices basedon nanotechnology and biological materials that may exploit the informationcontained in large molecules such as deoxyribonucleic acid (DNA).

8

Volume rendering includes several techniques for visualizing 3-D scalar fields. Forexample, “isocontouring” extracts constant valued surfaces from these fields. Analternative is to render directly the 3-D data using forward projection or backwardprojection methods. Forward projection methods project samples of the 3-D field to thescreen, generally using traditional graphics techniques. Backward projection,commonly referred to as volume raycasting methods, determines the color of each pixelby finding the subset of the 3-D field that projects to the pixel being colored, and thencombining them. NSF-supported research in volume rendering is being conducted atPurdue University.

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R&D will focus on incorporating HECC technologies into agencyapplications, as well as on developing high performance computationalscience and its underlying algorithms to ensure that key applications will runat their full potential. Many Computing, Information, and Communications(CIC) agencies support scientific mission-driven applications projectsrequiring large scale computation-intensive or data-intensive operations.These projects span the spectrum of scientific problems from cosmology toglobal climate modeling to short range weather prediction to protein foldingto quantum chromodynamics. R&D is required to support advances in fast,efficient algorithms for computational sciences addressing emergingcomputational challenges, including very large sparse matrix-basedproblems, searching, sorting, and pattern matching. Research on algorithmswith large amounts of concurrency, fault tolerance, and latency hiding is alsocrucial to the use of the high end computational systems of the future.

By planning and coordinating the design, implementation, and maintenanceof a state-of-the-art computational infrastructure, HECC R&D will ensurethat the full potential of computational research facilities, large scale testsystems, and high performance networks is realized. Information exchangeand coordination will ensure the continued development of a balancedinfrastructure with the maximum computational strength and networkbandwidth such as that available through the CIC-supported centers. Thisinfrastructure is critical in order to continue ongoing research in large scalecomputation-intensive problems.

Examples of HECC R&D are described in the rest of this section.

The Department of Energy’s (DOE) Grand Challenge and AcceleratedStrategic Computing Initiative (ASCI) applications are the focus of theagency’s DOE 2000 Program. A primary thrust is the AdvancedComputational Testing and Simulation (ACTS) Toolkit, which will providean integrated set of software tools, algorithms, and environments toaccelerate the adoption and use of advanced computing by DOE programsfor mission-critical problems. An example is the Scientific Template Libraryproject, which involves numerous DOE laboratory and university developerswho are creating software toolkits written in a data-structure-neutral mannerto enable easy reuse and flexibility. DOE supports user access to new highperformance computing architectures at the National Energy Research

3. Agency applications

4. Infrastructure for research

ACTS

The properties of light nuclei (up to 40 neutrons and protons) arecomputed employing realistic two- and three-nucleon interactions(such as those illustrated here). Many-body methods are used tocompute the properties of a nucleus for complicated forces that arestrongly dependent on the spins and charge states (isospin) of thenucleons. Unlike the Coulomb force used in atomic or condensed-matter calculations, there is no useful fundamental theory thatdefines this force. One can partially constrain the two-body forceby fitting nucleon-nucleon scattering data, but many-body calcu-lations are required to test other properties of this force as well asthe three-body interaction. DOE-supported researchers are refin-ing their knowledge of the forces and using that knowledge tomake predictions about the behavior of nuclei.

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HECC

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PACI

Scientific Computing Center (NERSC) and four High PerformanceComputing Resource Providers at DOE’s Argonne, Lawrence Berkeley, LosAlamos, and Oak Ridge National Laboratories.

The National Science Foundation (NSF) Supercomputer Centers programhas been instrumental in advancing science and engineering research and inenabling the U.S. to lead the world in computational science andengineering. The program is now evolving into the new Partnerships forAdvanced Computational Infrastructure (PACI) program.

The PACI program is based on partnerships that will operate two leading-edge sites equipped with high-end computing systems one to two orders ofmagnitude more capable than those typically available at a major researchuniversity. Systems accessible by the Nation’s academic research communitywill scale to teraflop computing capability within the next two to three years.Partners not directly involved in high end R&D will contribute to education,outreach, and training, and will develop software that will facilitate andenhance both the overall infrastructure and access to that infrastructure.After an intense competition and extensive review cycle, two sites wereselected:

❏ The National Partnership for Advanced Computational Infrastructure(NPACI), led by the University of California at San Diego (UCSD)

❏ The National Computational Science Alliance (NCSA) led by theUniversity of Illinois at Urbana-Champaign (UIUC).

At NPACI, high performance compute servers will be located at four majorpartner sites: University of California-Berkeley, Caltech, University ofMichigan, and University of Texas. Several partners will focus on dataintensive computing, as computational science and engineering evolve toenable the analysis of massive data sets from remote-sensing sources,numerical simulation output, and discipline-specific databases.

Additional NCSA computational resources will be provided by majorpartners Boston University and DOE’s Argonne National Laboratory. Thealliance will provide visual supercomputing capabilities in collaboration with

10

A major theme of the DOE-supported Numerical Tokamak Turbulence Project’s(NTTP) gyrofluid research in the past year has been the study of plasma turbulencesuppression methods discovered recently in the Tokamak Fusion Test Reactor (TFTR)at the Princeton Plasma Physics Laboratory, the DIII-D in Georgia, and the JapaneseJT-60 tokamaks. If these methods scale to larger devices, they could lead to moreattractive and economical fusion reactor designs. There have been several NTTPstudies focusing on the importance of shear in the background flow in stretching andtearing turbulent eddies, resulting in a suppression of the turbulence and a reductionin the concomitant transport. The stabilizing effects of velocity shear have been seen innumerous tokamak experiments. Shaping the magnetic field in the tokamakexperiments introduces physics that is related to the sheared-flow stabilization methodseen in simulations, and has led to improved confinement in recent experiments. Thegoal of this multidisciplinary effort is the realistic simulation of the tokamak plasmaturbulence needed to optimize performance of fusion devices.

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several partners and with one of its strategic vendors, Silicon Graphics, Inc.The current supercomputing center at UIUC has pioneered the use ofvisualization for comprehending the mass of data produced by simulationsor experiments and will continue this thrust in the new alliance.

DOE’s ASCI program focuses on creating leading-edge computationalmodeling and simulation capabilities to maintain the safety, reliability, andperformance of the U.S. nuclear stockpile. The goal of the ASCI AcademicStrategic Alliance Centers is to validate the scientific methodologies of largescale modeling, simulation, and computation. They will form Centers ofExcellence to foster research in scientific, computational, and computerscience areas that support ASCI and Science Based Stockpile Stewardship(SBSS) objectives. The Centers will have collaborative relationships withASCI laboratories and will facilitate technical partnerships with ASCIresearchers.

The Defense Advanced Research Projects Agency-supported (DARPA) HighPerformance C++ project is defining a standard model for parallelprogramming using the C++ programming language. The model willsupport both data parallel and distributed object task parallelism, enable theconstruction of portable parallel applications, and provide a target forvendors to support with compiler optimization. The end product will beused on multiple platforms such as symmetric, shared memorymultiprocessors as well as massively parallel systems with complex memoryhierarchy. DARPA’s goal is the seamless integration of science, engineering,and commercial applications that require the resources of new generationsupercomputers with software that runs on conventional hardwareplatforms.

The M-Machine is a fine grained concurrent computer being designed andbuilt by the Massachusetts Institute of Technology (MIT) Concurrent VeryLarge Scale Integration (VLSI) Architecture group under the DARPA“Mechanisms for Teraflops” project. The aim of this project is to exploitincreased circuit density more efficiently by building multi-ALU (arithmetic

11

ASCI’s Academic StrategicAlliance Centers

High Performance C++

The M-Machine

HECC

NSF-supported researchers have developed a new quantum dynamics simulation schemeto study highly nonlinear, far-from-equilibrium electron dynamics in nanodevices.The scheme incorporates the electron-phonon interaction in the mean-fieldapproximation and dissipation through the Langevin equation. This approach has beenused to study nonlinear electron transport in numerous areas, including electron mobilityin amorphous Silicon.

The figure to the left represents electron wave functions in a double quantum dot: (a) nocoupling; (b) electron coupled to phonons at 300 K. Brightness represents the intensity ofthe electron wave function, and color represents the phase. The incident electron energy isat the resonant transmission peak corresponding to the antisymmetric quasi-bound level.Without the electron-phonon interaction, the probabilities build up and decay equally inthe two dots. With the electron-phonon interaction, the probability density first localizes inone dot and then starts to oscillate between the two.

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National Compiler Infrastructure project

logic unit) processing nodes. While building arithmetic units, register files,and memories and replicating them on an integrated circuit isstraightforward, new architecture technology is required to organize andcontrol many arithmetic units on a single chip. The M-Machine is designedto execute programs efficiently with any or all granularities of parallelism bymeans of parallel instruction sequences called H (horizontal)-Threads, aswell as by exploiting thread-level parallelism, and masking variable pipeline,memory, and communication delays through V (vertical)-threads. The M-Machine will employ silicon fabrication technology that will deliver 1200MIPS (millions of instructions per second) and 800 Mflops (millions offloating point operations per second) per node.

The goal of the National Compiler Infrastructure project is to develop acommon platform for compiler development that will support openacademic collaboration on compilers and facilitate the transfer of technologyto industry. The project combines technology developed under the StanfordUniversity Intermediate Format (SUIF) project and the Zephyr projectlocated at the University of Virginia. The SUIF project, co-funded by DARPAand NSF and based on the Stanford University Intermediate Formatparallelizing compiler developed at Stanford University, involvescollaboration with researchers at Harvard University, Rice University, and theUniversity of California at Santa Barbara. The infrastructure project isintended from the outset to involve one or more industrial partners, and itsobjective is to develop a system that is modular, easy to extend and maintain,supports current research, and supports software reuse.

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Sensitivity analysis is used in design optimization, such as the design of an aircraft wing that involves integration of several differentprograms. Optimized designs can be found automatically by computing sensitivities of each code with respect to design parameters andapplying a gradient-based optimization technique.

The Automatic Differentiation Tool for ANSI-C (ADIC) developed by researchers in the Mathematics and Computer Science Divisionat Argonne National Laboratory has been applied to the Coordinate and Sensitivity Calculator for Multidisciplinary DesignOptimization (CSCMDO) code developed at NASA’s Langley Research Center in southern Virginia. CSCMDO fits into the designoptimization environment as a means for automatically modifying structured volume grids used in computational fluid dynamics.The ADIC-enhanced version of CSCMDO automatically produces the required volume grid sensitivity. CSCMDO provides a rapidand highly automated 3-D volume grid generation capability that produces changes in the surface and volumetric grids to reflect theperturbations of the baseline system. Algebraic techniques are used to generate and modify block face and volume grids to reflectgeometric changes resulting from design optimization. These figures, obtained from an Automatically Differentiated (AD) version ofCSCMDO, represent volume grid sensitivity derivatives with respect to different design parameters.

Sensitivity of volume X with respect to sweep angle Sensitivity of volume Y with respect to sweep angle

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Parallelization of commercialengineering software

Parallel system software tools

Computational AerosciencesProject

The Zephyr project, supported by DARPA and NSF, is a collaborationbetween Princeton University and University of Virginia. Zephyr’sorganizational structure separates the form of its intermediate languagesfrom their content. Zephyr intermediate representations have tree-like formsdescribable by abstract syntax specifications. The language- or machine-specific content of a Zephyr intermediate representation is described byother compact specifications. Decoupling form from content permitsresearchers to choose the intermediate language most appropriate for theirneeds, to extend an existing intermediate language, or to develop a new highlevel intermediate language, while still using the Zephyr infrastructure.

The DARPA-supported Parallelization of Commercial Engineering Softwareproject is a cooperative program between the Federal government andindustry. Its objective is to spur the introduction of scalable parallelapplications software to U.S. industrial markets by directly providingleading-edge independent software vendors (ISVs) with small paralleldevelopment platforms in order to minimize their investment risk. Theimmediate goal of the program is to produce first-generation parallelimplementations of existing commercial engineering software using systemsoftware and enablers — software tools that allow programmers toimplement applications effectively — that are currently emerging as industrystandards.

Each of the ISVs involved in the program will gain access to scalable parallelcomputing hardware, state-of-the-art systems software and enablers, andtechniques that will ensure compatibility with MPI (message passinginterface) software, a standard programming interface. Although theproprietary nature of the individual application development projects will beprotected, IBM’s common platform support will ensure that the resultingparallel applications are portable and consistent with industry standards.

The National Aeronautics and Space Administration’s (NASA) HECC R&Dcenters on development of parallel system software tools as well asdevelopment of mission-driven applications. NASA’s high performancecomputing research facilities were established to accelerate the transition tonew generations of high performance computing technology and includeaccess to the NASA Research and Education Network (NREN), early systemsor prototype storage subsystems, and state-of-the-art visualization

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HECC

DOE-supported researchers have conducted a computational simulation andanalysis of the reaction mechanism of the enzyme malate dehydrogenase(MDH). Encouraged by preliminary results, researchers calculated theminimum energy surface and reaction pathway for the interconversion ofmalate and oxaloacetate catalyzed by MDH. Analysis of the energy profile showsthat solvent effects due to the protein matrix dramatically alter the intrinsicreactivity of the functional groups involved in the MDH reactions. The enzymeeffectively changes the reaction from an exothermic reaction in the gas phase toa nearly isoenergetic one in the protein-solvent environment of MDH. Energydecomposition analysis indicates that specific MDH residues in the vicinity ofthe substrate make significant energy contributions to the stabilization of protontransfer and destabilization of hydride transfer. This data suggests that aminoacids play an important role in the catalytic properties of MDH, consistent withsite-directed mutagenesis experiments.

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applications. NASA plans to install a 100-250 gigaflops sustained, scalableteraflops testbed in FY 1998 to support its mission-critical efforts.

NASA’s Computational Aerosciences Project (CAS) focuses on using the highperformance computing environment to solve a range of problems inaerospace engineering at a cost that reflects the value, flexibility, and shortcycle time required by the aerospace community. Aerospace design problemsinclude high speed technology, advanced subsonics technology, androtorcraft. Research products are made available to system vendors as quicklyas possible.

CAS researchers work with computational fluid dynamics simulations ofaircraft and energy-efficient jet engines in order to save fuel and reducedesign time. NASA has shown that using parallel computing-basedsimulations can reduce overall design and development time for highpressure compressors in turbofan engines from 18 months to 14 months,resulting in several millions of dollars in savings.

The aim of NASA’s Flow Analysis of a Gas Turbine Low Pressure Subsystemproject is to simulate the aerodynamic flow in the complete low pressuresubsystem (LPS) of a gas turbine engine. The detailed LPS model will beintegrated into the Numerical Propulsion System Simulator (NPSS) that willserve as a numerical “test cell.” The goal of the LPS project and NPSS is toprovide a tool that can significantly reduce risk, uncertainty, and the costassociated with designing advanced gas turbine engines.

14

Biomolecular computing using high performance computing involves extensive,often complex calculations. This study involves the computer simulation of theenzyme acetylcholinesterase (AChE),which is responsible for degrading theneurotransmitter acetylcholine in species from man on down to insects. Due toits ubiquitous presence in nature and key role in biological systems, AChE is atarget for many commonly used drugs and toxins. Clinical studies supported byNIH and NSF suggest that acetylcholinesterase inhibitors such as tacrine(tetrahydro-9-aminoacridine) may be useful in enhancing memory in patientswith Alzheimer's disease. The figure to the right illustrates an AChE-THAcomplex structure after 100 picoseconds of molecular dynamics simulation. Theribbon traces the amino acid chain forming the molecule. Two tacrine moleculesare visible inside the protein.

Cooperation between the EPA Scientific Visualization Center and theSpace Science and Engineering Center (SSEC) of the University ofWisconsin at Madison has given EPA scientists 3-D visualizationcapability using desktop workstations. This capability joins SSEC’sVis5D system for visualizing the output of atmospheric and oceanmodels with composite images from the Geostationary OperationalEnvironmental Satellite (GOES). This image compares remotelysensed cloud data from GOES seen as white clouds at the bottom ofthe image with 3-D cloud data predicted by the National Center forAtmospheric Research’s (NCAR) Mesoscale Meteorological model.Cloud water is seen in blue, rain water in white, and temperature ofthe clouds ranges from cold blue to warmer red. Vis5D makes thisinteractive exploration possible by compressing data sets so they fit inworkstation memories.

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Earth and Space Sciences project

Biomedical research

Biomolecular computing

Supercomputing ResearchProgram

Earth and Space Sciences (ESS) research covers two areas:

❏ coupling advanced discipline models into scalable global simulationsto better understand global change;

❏ integrating models and analysis algorithms for processing, analyzing,and understanding the enormous volumes of data expected fromscientific missions.

ESS researchers are simulating the earth’s climate and are using large parallelcomputers to model dynamics within the sun, the solar wind, and theformation of galaxies.

The mission of the National Center for Research Resources (NCRR) is toserve as a “catalyst for discovery” for National Institutes of Health-supported(NIH) research by developing resources to enable biomedical researchadvances. NCRR promotes collaborations within and across scientificdisciplines and provides quick, flexible approaches to new and emergingresearch needs. Its greatest challenge is to keep abreast of rapidly evolvingtrends in basic and clinical research.

HECC research in biomolecular computing with high performancecomputers involves extensive and often complex calculations to determine orpredict protein structures and their structural and functional changes due tointeractions with other molecules or drugs. NIH in partnership with NSFsupports research that demonstrates the utility of novel protein functions forthe biotechnology industry in areas such as synthesizing models of proteinreceptors for structure-based drug design.

The National Security Agency's (NSA) Supercomputing Research Programfocuses on research and applications that will gain order of magnitudeimprovement in computer support for intelligence processing. NSA'sresearch activities range from the invention and prototyping of new conceptsto improvements in the use of leading-edge commercial projects, with acurrent focus on parallelism. Current projects include support for flighttesting MARQUISE (an embedded high performance computer) on AirForce aircraft; in partnership with DARPA, the 3-D Diamond MCM Cubecomputer project that will build a test vehicle to demonstrate a 3-Dcomputer architecture with a nanosecond system clock; and funding ofseveral fundamental studies to explore the feasibility of quantum computing.

15

HECC

Researchers at the UCSD Computational Center for Macromolecular Structure (CCMS) have developedfilters and modules for the AVS software package to project the results from simulations onto molecularsurfaces, here showing the hydrophilicity between the HIV enzyme protease (lower surface) and a boundinhibitor (floating "balloon"). CCMS develops software for analyzing those structural features of moleculesthat play key roles in drug design, such as docking, electrostatics, and hydrophilicity. CCMS is a joint projectof UCSD, The Scripps Research Institute, and the San Diego Supercomputer Center, supported by NSF.

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Scalable Systems and Software

Quorum

DARPA’s Scalable Systems and Software program is developing technologiesfor secure, scalable, distributed computing. The program focuses on creatingthe architecture and software components needed to reduce risks andaccelerate commercial development of new generations of the scalable, high-performance computing systems required by DOD, with a goal of enablingprocurement of very high-performance systems that run unique applicationswithout requiring continual hardware, operating system, and applicationsredevelopment. Advanced technology for teraflop-class systems is anemerging development from DARPA investments in this area.

DARPA’s Quorum research — part of its Information Sciences project —focuses on developing technologies that will allow end users to achievepredictable and controllable end-to-end quality of service for critical DODcomputing needs in a global heterogeneous distributed computingenvironment. These technologies and architectures will be integrated into aglobal operating system in such a way that this resource pool appears to endusers as a single computing platform. They will be demonstrated on keydefense problems in shipboard computing and command and control,focusing on human-computer interaction and design methods andtechnology enabling more natural interaction between people andcomputers.

16

Global optimization techniques are central solving macromolecular modeling and simulationproblems, since many fundamental problems in these areas are formulated as globaloptimization problems. One aim of this R&D is to develop a high performance environment onthe IBM SP at DOE’s Argonne National Laboratory to support large scale global optimizationalgorithms and software for solving global optimization problems arising in the modeling andsimulating of large molecular systems. This figure illustrates applications in proteinconformation and modeling, ionic system configuration, and molecular cluster simulation.

Researchers are using optimization methods to find stable configurations of ionic systems. Inthis figure, the stable configuration for an ionic system has the lowest energy, and therefore canbe found by minimizing the energy function for the system over the configuration space. Stableconfigurations for a set of small systems (fewer than 100 ions) have been obtained by usingglobal continuation algorithms on the IBM SP. The optimal structure with 60 ions is shownhere. A goal of this work is to find the stable configurations for very large systems, say, systems of200,000 ions, from which a phase transition of the ionic system can be observed.

Researchers have applied global continuation algorithms to a set of Lennard-Jones-potential-based microcluster conformation problems. In this figure, the optimal structure is shown for smallclusters (fewer than 75 atoms) as the global minimizers of the Lennard-Jones potential functions.This work is being extended to the general area of molecular cluster simulation, such assimulation of metal clusters with semi-empirical potentials.

Molecular dynamics

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Large Scale Networking

Goals and focus areas

The NGI Initiative

L S N R&D will help assure U.S. technological leadership inhigh performance network communications through

research that advances the leading edge of networking technologies,services, and performance. Key research areas include advancednetwork components and technologies for engineering andmanagement of large scale networks. Areas of particular focusinclude:

❏ Technologies and services that enable advances in wireless,optical, mobile, and wireline network communications

❏ Networking software that enables information to bedisseminated to individuals, multicast to select groups, orbroadcast to an entire network

❏ Software for efficient development and execution of scalabledistributed applications

❏ Software components for distributed applications, such aselectronic commerce, digital libraries, and health care

❏ Research infrastructure support and testbeds

Advancing this agenda will lead to new and more capable networkingtechnologies to support Federal agency missions. The NextGeneration Internet (NGI) initiative will be the dominant focus ofLSN R&D beginning in FY 1998. Some effects are already evident asagencies shift their focus to better accomplish the initiative’s goals.This chapter highlights FY 1997 R&D accomplishments and FY 1998R&D plans.

Announced by President Clinton and Vice President Gore on October 10,1996, the NGI initiative will create a foundation for the more powerful andversatile networks of the 21st century. Based upon strong research anddevelopment programs across Federal agencies, NGI will foster partnershipsamong academia, industry, and Government that will keep the U.S. at thecutting-edge of information and communications technologies, and willaccelerate the introduction of new networking services for our businesses,schools, and homes.

DARPA’s 2.4 Gigabits per second (Gbps)metropolitan area network testbed,ATDnet, emphasizes early deployment ofAsynchronous Transfer Mode (ATM)and Synchronous Optical Network(SONET) technologies.

NGINGIInitiativeInitiative

Agency R&DPrograms

Commercial & Industrial Business Academic Infrastructures

Academicand

IndustrialR&D

NGINGI

InternetInternet

Agency IT Programs

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Today’s Internet is the outgrowth of decades of Government investment inresearch networks such as the Defense Department’s (DOD) ARPANET,DOE’s ESnet, NASA’s Science Internet, and NSF’s NSFNET and NSF-initiatedregional networks. The relatively small amount of Federal seed moneyinvested in these evolutionary multi-agency programs stimulated muchgreater investment by industry and academia and helped create a large andrapidly growing market, resulting in one of the most spectacularly successfulpublic-private technical collaborations in history. NGI is the next, butundoubtedly not the last, logical step in the cycle of evolving networkingtechnologies and infrastructure needed to support U.S. research andindustry.

The NGI initiative, other Federal agency information technology and R&Dprograms, as well as R&D programs from academia and industry, willcombine to create a foundation for the networks needed in the next century.Building on these networks, universities, Federal research institutions, andindustry will conduct research and develop the advanced services, protocols,and functionality necessary to support next generation applications. Theseactivities will create an open technology transfer environment, continuing astrategy that determined much of the success of the original Internet.

To achieve this vision, the NGI initiative has established the following threegoals:

Experimental research for advanced network technologies. NGI activitieswill develop and demonstrate the advanced network services technologiesrequired to support next generation applications. The main areas of networkservices and protocols that will be developed and demonstrated includesecurity, robustness, Quality of Service (QoS), improved networkmanagement including the allocation and sharing of bandwidth, andenhanced collaborative and distributed application environments. Thechallenge is to ensure that NGI capabilities can be made predictably andreliably accessible to a broad spectrum of users sharing a commoninfrastructure.

Next Generation Internet testbed. The Federal organizations participating inthe NGI initiative will build a prototype high-performance network testbedfor system-scale testing of advanced services and technologies and fordeveloping and testing advanced applications. The testbed will emphasizeimproved end-to-end network performance, connect at least 100 NGI sites—universities, Federal research institutions, and other research partners—atspeeds 100 times faster than today's Internet, and connect on the order of 10sites at speeds 1,000 times faster than the current Internet.

Revolutionary applications. Participating Federal agencies will develop anddemonstrate a wide variety of nationally important applications that cannotbe achieved over today’s Internet. These applications will include Federalagency mission applications, university and public sector applications, andprivate sector applications with the potential to improve U.S. competitivenessin vital business areas. These revolutionary applications will alsodemonstrate the potential for opening entirely new business areas based oncommercializing the technologies that are developed within the NGIinitiative.

NGI Goals:

❏ Experimental research foradvanced networktechnologies

❏ Next Generation Internettestbed

❏ Revolutionary applications

In partnership with MCI, NSF’sConnections Program is developingtechnology for high performancenetworking through the Very high speedBackbone Network Services (vBNS) —technology that will help make theInternet faster and more efficient.

The Energy Sciences Network (ESNet) isthe DOE Office of Energy Researchnationwide network that supports openscientific research.

The NASA Research and EducationNetwork (NREN) is an ATM wide areanetwork (WAN) connecting five NASAsites in a fully meshed topologysupporting advanced aerospaceapplications.

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LSN

Today’s advanced federal networks

Global Grid

Active Networks

Biomedical research

Federal agencies will begin the NGI initiative by constructing highperformance collaborative networks in partnership with thetelecommunications industry, Internet service providers, universities, andmajor Federal research institutions. Such networks will be created on thefoundation of existing Federal networks (illustrated on this and the previouspage), and will allow universities, Federal research institutions, and industryto conduct research and develop the services, protocols, and functionalityneeded to support next generation applications. In order to facilitate thedevelopment of these leading-edge applications, NGI will seek substantialmatching funds from private sector partners, as well as commitments frommajor applications developers.

The potential economic benefits of this Federal initiative are enormous.Because the Internet originated in the U.S., American companies have seizedand maintained a substantial lead in a variety of communications andinformation markets. The explosion of the Internet has generated economicgrowth, high-wage jobs, and a dramatic increase in the number of high-techstart-up companies. The NGI initiative will strengthen America’stechnological leadership and create new jobs and market opportunities in thenext century.

Even as the NGI initiative commences, the research and educationcommunities continue to need ready access to high performance datanetworks in order to advance current research projects and educate U.S.citizens. Federal networks such as NSF’s vBNS, DOE’s ESnet, NASA’s NREN,DOD’s DREN, and the DARPA-led Advanced Technology Demonstrationnetwork (ATDnet) serve as the foundation for the NGI and continue toconnect researchers and educators to information and computationalresources. These networks also support networking research in gigabittestbeds, optical fiber networks, adaptive networks, and packetized video andvoice.

To meet demand for very high bandwidth networks, terabit optical fibernetworks with global reach will be required. At present, fiber networks use atmost one percent of this potential capacity due to electronic bandwidthlimitations. DARPA’s Global Grid program is developing the networktechnologies, architectures, and protocols necessary to access the 30 TeraHerz(THz — trillions of cycles per second) bandwidth using multiple channelsand picosecond optical pulses.

The goal of DARPA’s Active Networks program is to create a new networkingplatform that will prove flexible and extensible at runtime to accommodatethe rapid evolution and deployment of networking technologies, as well asprovide the increasingly sophisticated services demanded by Defenseapplications. The Active Networks architecture is based on a dynamicruntime environment that supports finely tuned control over networkservices. Flexible, efficient, and secure protocols are being prototyped.

Many areas of biomedical research computing are too demanding to bepursued using conventional computers and networks. Of primary concernare structure determination by x-ray and magnetic resonance, structureprediction of nucleic acids and proteins, computational biochemistry, and

The MBone, which stands for theInternet Protocol (IP) MulticastBackbone on the Internet, uses anaddressing scheme developed at theXerox Palo Alto Research Center (PARC)and the University of SouthernCalifornia (USC). Many of the tools thatmake the MBone valuable weredeveloped at Lawrence BerkeleyNational Laboratory (LBNL), part ofDOE’s National Laboratory system.

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Unified Medical LanguageSystem (UMLS)

National Center forBiotechnology Information

Crisis management

problems that arise from modern molecular biology. Each of these researchareas needs not only the latest in computational power, but faster networksthan are currently commercially available. NIH supports research inproviding biomedical researchers access to new network technologies.

With the large and rapidly growing number of computerized databaseresources and services offering bibliographic, full text, and factual data viathe Internet, it is difficult for users to locate and process vital information.To facilitate complicated searches, the National Library of Medicine (NLM)is developing intelligent gateways among database services, using a UnifiedMedical Language System to account for the dissimilarity in the ways relatedinformation is classified in different automated systems. Intelligent-agent-mediated gateways will provide users with a single point of access to theinformation they need.

The growth of the Internet and the availability of higher bandwidthconnections will also lead to a significantly greater user load on services suchas text retrieval, sequence analysis, and 3-D structure comparisons. Theexpansion of the scientific literature database and increased linkage betweenliterature and experimental databases will create additional demands. Toaccommodate these increased computing requirements, NLM’s NationalCenter for Biotechnology Information (NCBI) has the legislative mandate tocreate automated systems for storing and analyzing this vast and growingamount of data using technologies developed with LSN R&D, such as lowcost compute servers for parallelizing repetitive database searches.

Many Federal agencies support R&D in crisis management and disasterplanning. Since most national emergencies are related to the weather, theNational Oceanic and Atmospheric Administration (NOAA) has a strongneed to provide data, model results, and crisis response tools, includingnetworking technologies, that are viable under emergency conditions. NOAAand other agencies are planning ahead for future network services, with anaim toward expanding the accessibility and increasing use of the technology,services, and information available within the Federal government toimprove significantly the management of the nation’s forecasting,preparedness, and response to crisis situations.

The Radiology Consultation Workstation (RCWS) isa multimedia medical imaging workstation beingdeveloped for the electronic radiology environment. Ituses a prototype ATM telemedicine network tosupport radiotherapy treatment planning. WithRCWS, radiation oncologists and radiologists will beable to consult with each other prior to designing atreatment plan. They will use a shared cursor thatallows them to interact fully while identifying anddelineating the relevant physical structures. Highquality displays are a key technology requirement.

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Overview

INFOSEC

High Confidence Systems

HCS R&D focuses on the critical technologies necessary toachieve high levels of security, protection, availability,

reliability, and restorability of information services. Systems thatemploy these technologies will be resistant to component failure andmalicious manipulation and will respond to damage or perceivedthreat by adaptation or reconfiguration.

High confidence technologies can be applied to any element of asystem, including:

❑ system reliability — for example, management of networksunder load, failure, or intrusion; emergency response; firewalls;secure enclaves; and formal methods

❑ security and privacy, including personal identification, accesscontrol, authentication, encryption and other privacyassurance techniques, public key infrastructures, and trustedagents for secure distributed computing

❑ testing and evaluation

Applications requiring HCS technologies include national security,law enforcement, life- and safety-critical systems, personal privacy,and the protection of critical elements of the National InformationInfrastructure (NII). Systems for power generation and distribution,banking, telecommunications, medical implants, automated surgicalassistants, and transportation also need reliable computing andtelecommunication technologies.

Through their HCS R&D, Federal agencies collaborate in developingnetwork and systems security and reliability and provide mechanismsfor cooperation with the private sector. FY 1997 accomplishments andFY 1998 plans are presented in this section.

The NSA information systems security (INFOSEC) mission providesleadership, products, and services to protect classified and unclassifiednational security systems against exploitation due to interception,

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Secure operating systemdevelopment program

GRiDS: Intrusion Detection

SAW: Secure Access Wrapper

unauthorized access, or relatedtechnical intelligence threats. AllINFOSEC research activities of NSAand DARPA are reviewed andcoordinated by the Joint TechnologyOffice (JTO). The JTO leveragesDARPA’s work in cutting edgetechnologies, including networktechnologies, while allowing DARPAto use NSA security expertise indeveloping advanced informationtechnologies.

NSA’s ongoing secure operatingsystem development program isevaluating methods to assureauthenticated network transactions,data integrity, and non-exploitation oftransactions across the DefenseInformation Infrastructure. NSA isalso conducting research to support anevolving suite of information securityservices to help customers implementsecurity technology, and is conductingresearch in standards for secure interoperability of nonhomogeneouscomputer and telecommunications systems. Robust secure networkmanagement techniques that allow a network to be managed without fear ofmalicious denial-of-service attacks, such as flooding, corruption of data, orfalsified identification of nodes or users, will be developed.

DARPA supports research at the University of California at Davis to developthe Graph-based Intrusion Detection System (GrIDS) of instrumentednetwork services. GrIDS consists of routers, network file servers, domainname systems, communications protocols, and host workstations that detectand trace intrusions. GrIDS first collects data on computers and the networktraffic among them, then reports a possible anomaly when the graph-patterns exceed a user-specified threshold. By learning about thevulnerabilities, attacks, and countermeasures relevant to all-optical networktechnologies and architectures, GRiDS will provide both a foundation fordesigning network defenses and an understanding of the means available toattack an adversary’s network.

Databases are ubiquitous in distributed military and commercial networkinfrastructures, and many are subject to stringent security requirements. Theobjective of the DARPA-supported Secure Access Wrapper (SAW) project isto develop a SAW for securing access to commercial off-the-shelf (COTS)and legacy databases in very large-scale information systems. The SAWgenerates database wrappers for security consistent with the security policyof the underlying database. Moreover, databases wrapped by SAWs can becomposed systematically to form secure systems. The SAW will consist of anautomated tool kit addressing local and global issues in securing access.

Macrophage attacking a bacterium.Biological defense mechanisms detectexternal attack and respond topenetration. Using this metaphor,DARPA-funded researchers havedeveloped GrIDS (Graph-basedIntrusion Detection System) todetect attacks using “specification-based intrusion detection.”

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HCS

TBA: Task-Based Authorization

Secure All-Optical Networking

Network infrastructure andsecurity

DARPA’s Task-Based Authorization (TBA), a new paradigm for accesscontrol, is particularly suited for distributed computing and informationprocessing with multiple points of access, control, and decision making. TBAarticulates security issues at the application and enterprise level by taking atask-oriented or transaction-oriented perspective instead of a traditionalsubject-object view of access control. TBA applicability ranges from accesscontrol for client-server interactions in a distributed system, to distributedapplications and workflows that cross departmental and organizationalboundaries.

The DARPA-funded Secure All-Optical Networking project will investigatetechniques to increase the security of all-optical networks against servicedenial, eavesdropping, traffic analysis, and unauthorized access at a levelequal to or greater than the current generation of electro-optical networks.The program focus includes: (1) secure architectures for all-optical networks,(2) understanding and countering optical network componentvulnerabilities, and (3) developing concepts for attack-resistant networkcontrol and management algorithms. Through understanding thevulnerabilities, attacks, and countermeasures relevant to all-optical networktechnologies and architectures, the project will provide both a foundation fordesigning network defenses and an understanding of the means available toattack an adversary’s network.

HCS R&D supported by NSF and DARPA is developing access controlmechanisms that can be layered over existing operating systems. Thesemechanisms are able to enforce a variety of security policies and can becustomized for the varied needs of many sectors, such as financial, business,health care, and defense. Using a simple language, a system administrator canspecify an organization’s policy in terms of groups of users and objects. Thispolicy is automatically translated into low-level permissions on files andother resources. Integrating these access control mechanisms into firewalls

Records containing multidisciplinaryimages will be available over networksto authorized health care providersthrough the merging of computerizedpatient record systems and telemedicinesystems in a way that assures integrityand confidentiality. This imageillustrates how this work is being doneat some VA medical centers nationwide.

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Protecting privacy for medicalrecords

Reliable information

will enable more intelligent filtering of traffic exchanged between a local areanetwork and the Internet. Security policies can be registered with a remotepolicy server, which can be queried by firewalls, to allow the firewalls to makemore intelligent filtering decisions.

NLM and Veterans Administration (VA) support research in technologies forstoring and transmitting patients’ medical records while protecting theaccuracy and privacy of those records. FY 1997 and 1998 projects willpromote the application of HCS technologies to health care, telemedicineevaluation, and the testing of methods for protecting the privacy ofelectronic health data. R&D for computer-based patient records and publichealth applications of the NII will also be emphasized.

HCS R&D at the National Institute of Standards and Technology (NIST)focuses on two areas. Research in the NIST Manufacturing EngineeringLaboratory (MEL) is concerned with reliable information exchange amongmanufacturing applications. This standards-based effort for computerintegrated manufacturing examines product/process design, manufacturingengineering, and production system control within and across the enterprise.Reliable mechanisms for testing manufacturing application integrationsolutions will be developed. Current NIST efforts are described more fully inthe CIC R&D Highlights section of this report.

Through the Computer Security Division of its Information TechnologyLaboratory, NIST is working with industry and government on standardsand test methods for cryptographic modules, test methods for securityproducts and systems, development of infrastructure for public key basedsecurity, and common architectures that promote use of strongauthentication technologies.

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HuCS technologies

Knowledge repositories

Human Centered Systems

HuCS R&D leads to increased accessibility and usability ofcomputing systems and communications networks.

Scientists, engineers, educators, students, the workforce, and thegeneral public are all potential beneficiaries of HuCS technologies,which include:

❏ “Knowledge repositories” and “information agents” formanaging, analyzing, and presenting massive amounts ofmultimedia and multi-source information

❏ “Collaboratories” that provide access to knowledge repositoriesand facilitate knowledge sharing, group authorship, andcontrol of remote instruments

❏ Systems that enable multi-modal human-system interactionsincluding speech, touch, and gesture recognition and synthesis

❏ Virtual reality environments and their application to scientificresearch, health care, manufacturing, and training

HuCS activities for FY 1998 will focus on collaboration among Federaldepartments and agencies, the university community, and U.S. industry.Specific activities are detailed below.

Knowledge repositories are huge electronic databases with multimediacontent (text, voice, images, and video), residing on distributedheterogeneous computing systems that use different database managementsoftware. There is a critical need for applications that will make it easier forpeople to manage these complex databases, as well as for intelligent“information agents” that will help them analyze the data and present theresults effectively.

DARPA’s major areas of HuCS technical emphasis are intelligent systems,software development, manufacturing automation and design engineering(MADE), Text Video Speech (TVS) technology focusing on emerginglanguage understanding technology, and resource organization to obtainlogistical information on demand.

DARPA’s intelligent systems and software project develops new informationprocessing technology that will lead to innovative software and intelligent

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Collaboratories

systems capabilities. Advances in projects such as the high performanceknowledge base library will enable information systems to accomplishdecision-making tasks more effectively in stressful, time sensitive situationsand will help create efficient software to support computer-intensive defensesystems.

DARPA supports research in modular human-computer interactiontechnologies, that will provide easy, low-cost, rapid technology transfer andapplication development for document understanding, machine translation,and speech understanding. In the intelligent integration of information area,DARPA researchers will develop tools and techniques to enable the rapidconstruction of information fusion, aggregation, and summarizationsoftware to filter, access, and integrate information from hundreds ofheterogeneous distributed data sources. In the TVS area, researchers willdevelop initial prototypes for multi-language text extraction and audiotranscription using the performance of human operators as a baseline.

NSF’s Knowledge Networking projects focus on a new generation ofinterconnected networks and associated database and collaborativetechnologies, with an emphasis on learning and intelligent systems and newapproaches to computation.

Collaboratories — virtual laboratories that permit geographically separatedresearchers to work together and to use identical remote resources — buildupon breakthrough technologies employed in creating knowledgerepositories and information agents. Collaboratories also require newtechnologies for creating multimedia information. Examples are DARPA’sIntelligent Collaboration and Visualization effort and DOE’s DOE2000initiative, which include middleware for advanced collaboration across verylarge distributed systems, as well as software for controlling remoteinstruments, enabling geographically dispersed researchers to accessexpensive research resources from their desktops.

DOE is building a scalable, standards-based software infrastructure tosupport collaborative environments, employing advanced ATM capabilitiesto provide interagency collaborative environments and to support leading-edge applications. This software infrastructure is being tested in two nationalcollaboratory pilot programs — the Diesel Combustion Collaboratory andthe Materials MicroCharacterization Collaboratory.

Vice President Al Gore speaking to theDARPA-supported GALAXYconversational system during an April26, 1996 visit to the MIT Laboratoryfor Computer Science. This researchwill lead to the development ofconversational systems that caninteract with users by employingspeech recognition and languageunderstanding to solve everydayproblems.

The Climate Visualization system CLIMVIS is an interactive tool forbrowsing visual displays of numeric data available on-line at NOAA’sNational Climatic Data Center (NCDC) in Asheville, NC. The user stepsthrough the data and graphing feature selection process to browse thedisplayed data, as illustrated to the right. Systems like CLIMVIS will makeit easier for people to manage and use highly complex databases, and forintelligent “information agents” to analyze the data and present the resultseffectively.

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HuCS

Regional Technology inEducation Consortia

Enabling multi-modalhuman-system interactions

The Department of Education’s (ED) Regional Technology in EducationConsortia (RTEC) assist state and local education agencies with developingcomprehensive educational technology plans, drawing upon existingresources, and anticipating future technological needs and innovations. In FY 1998, the RTECs will also focus on making the most valuable technologyresources more easily accessible to educators through a variety of means,including the Internet and telecommunications technologies.

Today’s graphical user interfaces are well-suited to trained, unimpaired usersaccessing desktop computers with a monitor, a keyboard, and a mouse. Asinexpensive computing power becomes increasingly available to lesstechnically-oriented users, tomorrow’s sophisticated systems will requireinterfaces accessible both to experts and novice or infrequent users regardlessof physical ability, education, or culture. Additionally, people who cannot seewill require enhanced Braille interfaces, and people who are unable to typewill require the latest eye-tracking technologies. HuCS R&D will explorespeech recognition and synthesis technologies, as well as computers operatedby facial expression, touch, and gesture. Such projects include a DARPA-funded NIST study to develop methods for evaluating and testing the imagequality effects of optical character recognition (OCR). Funded as a jointproject of NSF and ED’s NationalInstitute for Disability andRehabilitation Research, the WebAccessibility Initiative will work toensure that the evolution of the Webremoves, rather than reinforces,accessibility barriers.

Human-centered applicationdevelopment environments will allowusers to tailor services and applicationsto meet individual needs. “More thanScreen Deep,” a wide-ranging 1996study supported by NSF, suggests thatsuch research also directly supports thegeneral movement toward “nomadic”(access anytime, anywhere) computing.HuCS research includes interfaces tosupport computing systems embeddedin wireless hand-held and wrist-mounted devices and in householdappliances.

An “Intelligent Room” allows people to move within its space, speaking and gesturingas they normally do. Outfitted with special eyeglasses, they can view personalizedinformational displays enabling them to command a vast array of computational andcommunication resources. The occupants will be able to concentrate on solvingproblems, such as planning distributed and collaborative activities. They will also beable to rehearse their actions in trauma care, crisis management, and rapid responsedeployment. Supported by DARPA, the Intelligent Room is a part of the Human-Computer Interaction project at the MIT Artificial Intelligence Lab, which exploresadvanced human-computer interaction and collaboration technologies.

One view of a virtual city createdusing the Virtual Reality ModelingLanguage (VRML) by a team fromUCSD and SDSC that isinvestigating the effects of visual cuesin psychotherapy using the Internetand VRML. Potential applicationsinclude treating acrophobia (fear ofheights) and other phobias. Patientsmight view this same street by lookingdown from the top floors of itsskyscrapers.

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Virtual environments

The Speech, Text, Image, and MULtimedia Advanced Technology Effort(STIMULATE) will fund university researchers investigating humancommunication and seeking to improve our interaction with computers.NSF, NSA, and DARPA are involved in this interagency effort, whose projectswill include a filter for TV, radio, and newspaper accounts that provides theuser with a quick synopsis; a computerized translation program; and a“humanoid” computer that will understand human communication,including facial expressions, gestures, and speech intonation.

FY 1998 virtual environments R&D will address immersion in simulatedenvironments, advanced modeling technologies, and group collaborations invirtual spaces. Virtual environments are interactive, computer-generatedmulti-dimensional “worlds” designed to allow the user’s view of theenvironment to change in real time in response to user control. Such controlcreates kinesthetic depth perception in which a user can interactively alter avirtual world by directly manipulating virtual objects in a virtualenvironment. Intelligent real-time response and multi-dimensional sensoryinformation embodied in virtual environments can facilitate explorationsinvolving complex science, medicine, and manufacturing tasks.

Expert systems that aid in designing virtual environments will be needed toconstruct and model complex environments for specialized tasks. Portable,wearable, augmented reality systems will enhance human performance intasks such as maintaining military or civilian equipment in the field. Thesesystems will demand extremely accurate tracking and methods to alignvirtual environments closely with the real world and will require high qualityvisual, force, and touch displays.

The NSF-funded Chesapeake Bay virtual environment is a a research tool combining theCAVE Automatic Virtual Environment (CAVE) software, the Vis5D scientific visualizationpackage, and the Vanilla Sound Server in order to place modeled sonic data in aninteractive navigable virtual environment. It will incorporate runtime computationalsteering, interactive visualization, data sonification, and wide area informationdissemination to enable geographically distributed users to interact multi-modally in realtime across a high speed network. A university-based research oceanographer running anumerical simulation on a remote supercomputer at one institution can be observed byresearchers at other institutions. As the technology improves, all researchers should be ableto steer the simulated environment, maximizing its effectiveness. The CAVE’s three-walland ceiling environment provides an optimal environment for this type of research.

Supported by DARPA and NSF, the Electronic Visualization Laboratory(EVL) at the University of Illinois at Chicago allows researchers to use thelatest in computer graphics and interactive technology to explore data inhighly immersive, interactive environments. EVL provides an infrastructurefor computer scientists to collect, maintain, develop, distribute, and evaluatevirtual environment tools and techniques for scientific computing. Theseinclude computer-based models, simulations, data libraries, programminglibraries, and user interfaces. The libraries and user interfaces encompass

visual, auditory, tactile, and motion-based information displays. The Multi Mega Book in the CAVE was designed to create animmersive experience of being in different centuries and in different worlds. Here, the viewer has arrived in a composite RenaissanceItalian city.

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HuCS virtual environment R&D is needed to develop new knowledgepresentation and collaboratory technologies. For example, high-qualitysensory information, derived from sight, sound, and touch, is generated bycomputing systems and delivered to users by special interface devicesdeveloped by DARPA, NSF, and DOE. These devices give users the sensationthat they are interacting with the virtual environment just as they wouldinteract with the real world. At the same time, these tools provide“intelligence amplification” to expand the user’s decision-making capabilities.

Battlefield management and planning, emergency management, multi-government interactions, and industrial competition and collaboration areother Federal applications that require HuCS technologies. In each of theseareas, human centered systems can provide an information-rich overview ofcomplex situations involving many participants. HuCS technologies can beused to simulate these applications for training and evaluation and to usereal-time input to monitor actual situations for situation awareness anddecision making. These applications also require special authoring tools forcreating and maintaining simulations and the ability to partition asimulation into a hierarchy of detail. In product manufacturing, for example,these technologies can support the total life cycle of a manufactured product,resulting in improved design, development, testing, manufacturing, trainingand use, and maintenance and repair.

Telemedicine allows patients and health care practitioners to be in differentlocations during consultation, diagnosis, and treatment. In these activities,images and data from diverse medical instruments (for example, MRI, CAT-scans, and sonograms) will be integrated and displayed in a 3-Denvironment. For example, such pioneering 3-D techniques are being used todiagnose emphysema and lung cancer at the Cornell Theory Center, asillustrated on page 30.

Transforming patient data into consistently useful and accessible informationand knowledge is a challenge confronting health care providers today. Thecurrent clinical environment will need to converge with scientific research toachieve more precise diagnosis, better treatment plans, and more effectivedisease prevention.

Partnering with VA and NIH, the Agency for Health Care Policy andResearch’s (AHCPR) HuCS research focuses on developing applications forcomputer-based patient record and clinical decision support systems forhealth care providers. Its objective is to evaluate the use of computers and

HuCS

Simulation of complexsituations in planningand management

Telemedicine

Clinical decision supportsystems

Scientists can estimate the forces of the body’s muscles by simulatinghuman movement on supercomputers. NASA-funded researchers atthe University of Texas-Austin have combined control theory andmathematical modeling to determine musculoskeletal forces duringdifferent activities. These graphical models of jumping and walkingincorporate joint angles from videotaped human subjects. Eachmuscle, with its connecting tendons, is represented by a three-element skeletal entity, appearing in series. A three-dimensionalsimulation of the jumping figure, the first of its kind, consumes 800CPU hours on an IBM SP2.

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networks in order to improve health care outcomes, medical effectiveness,quality, and cost. Research topics will include object technology to facilitatetransferring data from legacy systems, voice and speech recognition, remotemonitoring of homebound chronically ill and disabled populations by healthprofessionals, multimedia electronic mail for consultations among cliniciansin local and regional networks, and intelligent dictionaries and networks toenable more effective communication among clinicians. Security, privacy,and integrity of health care data will be managed in regional repositories thatwill use key technology to register and certify users.

In the Visible Human project, NLM continues to build and evaluate digitalimage libraries of anatomical structures of the human body. Using andunderstanding the biological structures depicted in such libraries will exploitthe integration of advanced computer and communications technologieswith medical imaging systems to render anatomic data into photorealisticimages that are easily manipulated by students, researchers, and health careproviders.

HuCS R&D is part of NIST’s Systems Integration for ManufacturingApplications (SIMA) program that works with industry and academicresearchers on projects such as the Manufacturing Collaboratory andOperator Interfaces for Distributed and Virtual Manufacturing. Researchareas include information interfaces, collaborative technologies, remoteoperation, and virtual manufacturing. NIST collaborates with industry andstandards bodies in supporting the development, specification, validation,and deployment of solutions for interoperability among advancedmanufacturing systems applications.

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The Visible Human Project

SIMA: Systems Integration forManufacturing Applications

HuCS technologies assist in diagnosing emphysema and lung cancer. Modern 3-Dradiologic techniques, particularly computed tomography (CT) and magnetic resonance(MR) imaging, acquire more data than are routinely displayed in diagnostic images, suchas in this 3-D image of a section of a lung from the Cornell University Medical College. Apotentially cancerous nodule, highlighted in bright green, is easily distinguished from theadjacent vessels. Image analysis used in conjunction with representative patient databaseswill be an integral part of future clinical analysis, diagnosis, and decision support systems.NLM promotes the use of these technologies in health care.

Developed by the Computational Biology Group at the NCSA (University ofIllinois at Urbana-Champaign), the Biology Workbench is a collaborativesoftware tool that allows researchers and physicians to access informationneeded to find cures for diseases like Alzheimer's, cancer, and AIDS. TheWorkbench enables a user with a browser to efficiently access, extract, andprocess data from remote databases. From the Biology Workbench homepage (partially illustrated at the right), researchers can input a proteinsequence into the Web-based software and locate the 3-D representation ofthe requested molecule. What once would have taken a molecular biologistweeks or months to find is now a simple task that takes only minutes.

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Overview ETHRR&D supports research to advance education andtraining technologies. The complex and technically

challenging applications flowing from leading edge R&D in HECCand LSN make it increasingly important for today’s students andprofessionals to update their education and training on an ongoingbasis in order to exploit the latest technological advances. ETHRtechnologies improve the quality of today’s science and engineeringeducation and lead to more knowledgeable and productive citizens.Major ETHR research areas include:

❏ Curriculum development, fellowships, and scholarships forcomputational, computer, and information scientists andengineers

❏ The application of interdisciplinary research to learningtechnologies

❏ R&D in information-based learning tools, lifelong learning, anddistance learning.

Information technologies will have a profound impact on all formsand levels of education in the 21st century, ranging from the use ofgeographically dispersed learning centers to the extension ofexperiential learning (which is already transforming scientific andengineering research) through advanced visualization and simulationtechniques. These new and enhanced information and computingtechnologies will enable students to obtain an education based onpersonal experience and simulation rather than abstract presentation.

Research in learning technologies has direct implications forachieving the national goal of a technologically literate citizenry. Suchresearch is required to enable use of the Nation’s informationinfrastructure to provide the resources for efficient and effectiveeducation and training. Indeed, the training of the next generation ofcitizens skilled in developing and using information technologies iscritical to the ongoing effort of maintaining U.S. competitiveness intoday’s highly aggressive international market environment.

Education, Training, andHuman Resources

Local weather reports from Reston,Virginia, are continuously updated as partof the 4-Winds project involving NASA,NOAA, and Washington, DC-areatelevision station WRC-TV Channel 4.

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Applications, tools, andcollaborative researchon learning technologies

Research grants

ETHR R&D supports engineering applicationsin the classroom. For example, NSF funds newcourse and curriculum development in highperformance computing and communicationsand information processing. NSF also supportsresearch opportunities in high performancecomputing and communications forundergraduates.

ETHR R&D is creating collaborative tools forR&D in learning, creativity, and productivity.DOE’s National Collaboratory Research, forexample, will develop technologies and tools toenable scientists and engineers to collaborateeasily across geographic boundaries and tointeract cooperatively in solving problems andconducting experiments. This research alsoaddresses the basic technologies and servicesthat underlie such National Challengeapplications as energy demand managementand remote environmental monitoring.

NSF supports the Center for CollaborativeResearch on Learning Technologies, which isintegrating technology with education at alllevels. The Center will draw upon the effortsand expertise of participants from industry,research, and education to formulate responsesto challenges and opportunities in science,mathematics, engineering, and technologyeducation in order to reexamine the basicmethods and practices of these fields, with afocus on the teaching potential of innovativelearning technologies.

ETHR supports graduate and postdoctoral CIC R&D with multiagencygrants:

❏ NSF programs in education and training focus on increasing thenumber of individuals who possess the knowledge and skill to makehigh performance computing and information processing easier touse and to apply what they have learned to all science and engineeringdisciplines. The NSF Postdoctoral Research Associates program, forexample, supports postdoctoral training in computational scienceand engineering and experimental computer science.

❏ NASA ETHR activities focus on educating the next generation ofcomputer and computational scientists. NASA supports researchinstitutes and centers of excellence engaged in computer science andcomputational science and funds university grants on CIC R&Dtopics at the individual principal investigator level.

NSF’s programs ineducation and trainingfocus on increasing thenumber of individualspossessing the knowledge,skills, and insights to leadresearch in science andtechnology. This posterhighlights NSF’s 1997National Science andTechnology Week’s schoolprograms.

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ETHR

Innovative training

Grants for healthprofessionals

K-12 Curriculum Products

❏ DOE’s Computational Science GraduateFellowship Program provides support formore than 50 doctoral students incomputational science and engineering atselect universities. Participating fellowsspend at least one summer working ontheir dissertations at a DOE laboratory.

ETHR R&D supports innovative training such asNASA’s annual summer school in HighPerformance Computational Physics and NSF’sMetal-Oxide Semiconductor ImplementationService (MOSIS) program, which providestraining for students who work within a researchinfrastructure for rapidly prototyping andmanufacturing custom VLSI chips.

The U.S. needs both biomedical professionalscross-trained in informatics and individuals fromcomputer and information sciences andengineering with doctoral or post doctoraltraining in applying these technologies to healthcare. Medical centers that want to modernize and network their institution-wide information services find it increasingly difficult to identify and recruitsenior professionals with this kind of education and training. The NLMawards training grants for health professionals and is expanding its pre-doctoral and postdoctoral grants program to provide career training inmedical informatics, both for research and applications and for fellowshiptraining support. NIH will implement a pilot training program at selectNCRR-supported High Performance Computing Resource Centers tointroduce biomedical scientists to high performance computing methodsand tools.

ETHR R&D provides training and information services for grades K-12students, teachers, and faculty in computing, networking, and computationalscience. The Department of Education’s AskERIC (Educational ResourcesInformation Center) is an online information service available free of chargeto teachers, parents, andstudents. The AskERICR&D team is expandingthe AskERIC VirtualLibrary to provide image,sound, and videoresources; providing freeInternet access to theERIC bibliographicdatabase using friendly,high performanceretrieval software;creating a full-textelectronic collection ofthe documents in the

With digital cameratechnology, students nowcreate permanent,storable records of theirscience projects for theschool’s database.

The Department of Education’s AskERIC service(http://ericir.syr.edu/) provides users withcustomized information on educational topicsdelivered via the Internet and commercialservices.

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Training for students, teachers,and faculty

Information dissemination

ERIC database; and experimenting withnew Internet products to determine theirvalue in education.

NIH education programs focus onengaging and training students, teachers,and faculty from middle school and highschool through graduate school incomputing, networking, andcomputational science, by leveraging thelarge DOE investment in these areas atuniversities and at its nationallaboratories. NASA is demonstratingeducation products from its K-14Education Cooperative Agreement Notice.

Over the past two decades, technology hasdramatically advanced the ability of scientists to use geographicvisualizations to explore, learn, and communicate about the geosciences.These rich resources of data, images, and software tools can revolutionizeEarth science education by enabling students to observe, explore, investigate,and visualize fundamental Earth science concepts. NSF’s Visualizing Earth(VizEarth) Project aids these advances by promoting fundamental researchin cognition and visualization, adapting existing technology and data sourcesfor ease of use in schools, developing model curricula at the middle schoollevel to support cognition and visualization research, and supportingimplementation of national education standards in science, mathematics,and geography.

CIC R&D will benefit U.S. citizens if they can access and make use of thisinformation to improve their environment at work and at home.Recognizing this, GOALS 2000 legislation calls for increased emphasis onelectronic networking and dissemination to support education reform,making this a critical part of ETHR R&D. In response to the GOALS 2000legislation, the Department of Education’s Information Network (INet)program, which manages the Internet and World Wide Web presence of theNational Library of Education, will play a key role in the Department’sefforts to make a high quality library of education information availableonline to assist the rapidly growing number of educators connecting to theInternet. The Department plans to provide increased access through theInternet to the Library’s repository of information concerning Departmentprograms, projects, publications, statistics, and network-based R&Dmaterials for schools, educators, parents, and policy makers by developing adigital library.

NASA will develop and provide access to databases of remote sensing imagesand support software over the Internet. These databases can be used by bothpublic and private institutions, promoting the dissemination of taxpayer-funded Federal information. The information contained within thesedatabases can also be used by educational and library communities. Theprogram goal is to provide broad public access to remote sensing data toisolated, under-served communities, in order to promote gains in education,quality of life, and economic growth.

Free educational information isavailable through the World WideWeb. Educators can accessinformation on technologies andresources for classroom use; and selectand copy teacher’s guides andactivities for use at elementary,middle, and high school levels.

Dramatic image of an eruptingvolcano on Russia’s KamchatkaPeninsula — one of manyimages available through NSF’sVizEarth Project.

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CIC R&D Highlights

Digital Libraries Initiative

The Initiative

Digital Video Library Project

Interoperability and DLITE

Intelligent Access

The Digital Libraries Initiative (DLI) is a joint four yearNSF/DARPA/NASA program begun in FY 1995. Its broad goal is toadvance the methods used to collect, store, organize, and use widely

distributed knowledge resources that contain diverse types of informationand content stored in a variety of electronic forms. Six university-led DLIprojects are pursuing this goal in partnership with libraries, museums,publishers, schools, and computing and communications companies.

The Informedia Digital Video Library Project at Carnegie Mellon Universityuses intelligent, automatic mechanisms that provide users with full-contentsearch and retrieval from online digital video that can scale to severalthousand hours. The project is creating a multimedia library of more than1,000 hours of digital video, audio, images, text, and related materials. Newdigital video library technology allows independent access to information forself-teaching and exploration, which can improve the ways in which botheducation and training are delivered. Tools that can automatically populatethe library and support access via desktop computers on local, metropolitan,and wide area networks are being developed.

Stanford University’s Digital Library project focuses on interoperability. At itsheart is a testbed that runs the “InfoBus” protocol, providing uniform accessto various services and information sources through “proxies” that act asinterpreters. The Stanford Digital Library testbed is used to experiment withinteroperability among these services. Distributed objects allow processes tobe implemented in different languages on computing systems with differingarchitectures.

The Digital Library Integrated Task Environment (DLITE) is an experimental,direct-manipulation interface to information objects and services.Information services are accessed via the InfoBus and are presented to theuser as components in workcenters. DLITE is designed to make it easy forusers to interact with many different services while focusing on a single task.

The University of California-Berkeley Digital Library project’s goal is todevelop technologies for intelligent access to massive, distributed multi-terabyte databases of photographs, satellite images, videos, maps, full textdocuments, as well as “multivalent” documents that presume a singledocument consists of multiple layers of different but closely related material.

A major component of the project is to develop a large testbed of dataand services that provides public access to environmental datasets.

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The Alexandria Project

Scientific literature on theInternet

Interspace

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The Alexandria Project at the University of California at Santa Barbara isbuilding the Alexandria Digital Library (ADL) — a distributed digital librarythat will give users the ability to access and manipulate digital information ina variety of collection items, ranging from maps and images to text andmultimedia. From the Internet, users and librarians will access variouscomponents of ADL, such as its catalog and collections, through powerful,graphical interfaces. In 1996, more than 2,000 registered users tested theADL’s Web Prototype (WP). In addition to providing valuable feedback onthe appearance, usability, and content of the WP, the testing process helpedresearchers identify major problems such as system bottlenecks and speedand bandwidth issues.

In response to this testing program as well as additional research, theAlexandria Project will design and implement a new interface that willprovide users with more functional options and greater ease of use.

The Digital Libraries Initiative project at the University of Illinois at Urbana-Champaign is developing technology to handle digital libraries of scientificliterature on the Internet effectively. The results will include digital librarysoftware and sociological evaluation of its use with hundreds of users

searching tens of thousands of documents. Repositoriesof indexed multiple-source collections are being builtand indexed by searching the material via multiple viewsof a single virtual collection. Both the testbed andproduction facilities as well as the Internet client arenow operational. Concept spaces for 1,000 subfields ofengineering have been computed on 10,000,000

abstracts using 10 days of supercomputer time — the largest computationever in information science and a major step towards semanticinteroperability.

The Interspace research project at the University of Illinois at Urbana-Champaign seeks to unifydisparate distributedinformation resources inone coherent model. TheInterspace is a collectionof interlinkedinformation spaces whereeach component spaceencodes the knowledge ofa community or a subjectdomain. Standard services include inter-object linking, remote execution, objectcaching, and support for compoundobjects (usually referred to as compounddocuments). Additionally, the Interspace system acknowledges theimportance of legacy applications and supports their integration into thesystem in a relatively seamless manner. Ultimately, the Interspace system goalis to represent all types of data/objects in one flexible, cohesive, and scalablesystem.

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Multimedia testbed of Earth andspace science data

Workshops

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Digital Libraries

The University of Michigan DigitalLibrary (UMDL) project is a multimediatestbed of Earth and space science datathat supports “inquiry-based”approaches to science education inmiddle and high schools, as well asinstruction and research at theuniversity. For example, the projectoffers high school students links toscientific information about mineralssuch as the Smithsonian’s Gem andMineral Collection, NASA’s Earth andSpace Science Application Project, andNOAA’s National Geophysical DataCenter. The core of the project is anagent architecture that supports theteaming of agents to provide complexservices by combining the limited capabilities of individual agents. R&Defforts aimed at deploying the UMDL in real-world settings focus on theneed for advanced, friendlier interfaces that support simple or complexinquiries by students and teachers.

The Digital Libraries Initiative sponsors numerous workshops. Recentworkshops have included the following:

❐ Report of the Santa Fé Planning Workshop on Distributed KnowledgeWork Environments: Digital Libraries, March 9-11, 1997

❐ Federation Across Heterogeneous Databases, A Report on the Spring1997 Partners Workshop, April 3-4, 1997

❐ Libraries, People, and Change: A Research Forum on DigitalLibraries, A Report on the October 27-29, 1996, Allerton Institute

❐ Workshop on Technology of Terms and Conditions, A Report on theSeptember 24-26, 1996 Workshop at Columbia University

❐ DLI Spring Partner’s Workshop, May 2-3, 1996, University of Illinoisat Urbana-Champaign

❐ DLI SGML (Standard Generalized Markup Language) MathematicsWorkshop, May 1, 1996, University of Illinois at Urbana-Champaign

❐ Social Aspects of Digital Libraries, A Report on the February 15-17,1996, UCLA-NSF Social Aspects of Digital Libraries Workshop

Information on these workshops is available at

http://dli.grainger.uiuc.edu/workshops.htm.

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CIC R&D Highlights

Human Brain Mappingthrough MEG

MEG

Dynamic brainvisualization

Functional Magnetic ResonanceImaging

Magnetoencephalography(MEG) is the study of brainfunction using sensitive

detection systems to measure themagnetic fields emanating from thehead as a result of brain activity. In theimage to the right, a magnetic fieldresulting from the brain’s response to avisual stimulus is shown as a colorcontour map on a head surfacereconstructed from MRI data. The disksrepresent sensor locations in a full-headMEG system.

Researchers at the University of California-San Diego’s (UCSD) CognitiveSciences Department are using MEG to investigate the flow of information inthe brain and how it relates to mental functions and cognition. Visualizationin 3-D enables one to “see” the dynamic characteristics of brain processes

and the interplay of different functional areasinvolved and may lead to a new understanding of

how the brain works. This image shows theelectric current distribution in the visual,

motor, and Broca's and Wernicke’s areasinvolved in language processing. Bright redareas are the sites of present activity. Thesurrounding orange areas show thevariability of activity over time. To producean image of activity in these four primaryareas that are normally not active at the sametime, researchers simulate excitations of the

neuronal cell groups using UCSD’s neuro-magnetic simulation package.

Functional MRI experiments have been used to investigate all aspects ofbrain function, including a concept known in cognitive psychology asworking memory. Each subject’s brain is scanned while he or she performs aworking memory task (page 39, top left) and a control task. Results to datesupport the theory that the prefrontal cortex becomes engaged when recentlypresented information must be represented and actively maintained toperform a task. This type of study leads to improved understanding of

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memory function, which impacts clinical treatment of majordiseases such as schizophrenia and amnesias.

The primary visual cortex becomes active when a striking patternis shown to the subject, visualized in the image at the bottom ofthis page. Both images were displayed in near real-time while thesubject was being scanned. NIH-supported researchers at CarnegieMellon University used Pittsburgh Supercomputing Center’s CrayT3E to process the data acquired by the MRI scanner at theUniversity of Pittsburgh Medical Center and visualized the resultson a Silicon Graphics Onyx Reality Engine.

The processing included image reconstruction and motioncorrection to compensate for the movement of the subject’s head.This real-time capability will make it possible to use brain-mapping as a routine clinical tool in diagnosing and treating brainpathology, as in neurosurgical planning for tumor removal. Forexample, neurosurgeons who use standard MRI to locate tumorswill now be able to determine which cognitive and sensory-motorabilities (for example, language and motor-skills) are located closeto the tumor site, allowing them to further refine their surgicalplans.

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Human Brain Mapping

Brain activity during the memory task.

Brain activity that occurs when a pattern is shown to the subject of the experiment. Theprimary visual cortex becomes active.

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CIC R&D Highlights

nanoManipulator Surface Images

The nanoManipulator project T he nanoManipulator project is now under way at the University ofNorth Carolina (UNC) at Chapel Hill. The project is developing animproved, natural interface to scanning probe microscopes, including

Scanning Tunneling Microscopes (STM) and Atomic Force Microscopes(AFM). The purpose of a nanoManipulator is to scale the STM or AFMenvironments (on the nanometer scale) up to the human environment (on themeter scale) so that the researcher can use a virtual reality interface to interactwith the environment at the atomic level. The required level of magnificationis impossible for conventional optical microscopes that project magnifiedimages. The STM provides its information as an elevation map that is theninterpreted and rendered by the graphics portion of the system.

The nanoManipulator interface was conceived through a collaborationbetween UNC-Chapel Hill and the University of California at Los Angeles(UCLA). The effort commenced in 1991 with the development of a system tocontrol an STM. Experiments conducted in 1993 led to the discovery ofnanoWelding. The team works closely with users in biology, solid-statephysics, and gene therapy to develop techniques and displays they could use tosolve problems in their fields. The following examples illustrate the wide rangeof new capabilities that nanotechnologies are enabling:

To the left, nanomanipulation of a 20 nM gold particle is shown as a sequenceof pushes that move a colloidal gold particle across a micron-size field andinto a gap etched in a gold wire. Force feedback during the pushes makes itpossible to move the ball without destroying it and to avoid patches of surfacecontaminant. The ball starts in the circled position on the upper left image.Yellow lines trace the path of the ball, showing where high force was used topush it. The particle ends up in the gap as depicted in the lower-right image.Taking the two ends of the wire out to external contacts will allowmeasurement of the particle’s energy states.

Collaborators at the UNC Gene Therapy Center have used thenanoManipulator to examine adenovirus particles. Since these particles areused as gene-delivering vectors in gene therapy, there is considerable scientificinterest in learning how these particles stick to and move around on cellsurfaces. A preliminary experiment, illustrated to the left, shows that particleshave been moved around on a cleared area of mica substrate. The virusparticles themselves were manipulated by pushing them together and pullingthem apart.

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To perform an experiment in circuit tuning, thenanoManipulator was first used to cut a small gap in a 1-micron wire (shown to the left) while the impedance of thewire was measured. Once the impedance was infinite, theremoved piece of wire was pushed back into the gap to tunethe impedance from about 100 to about 1,000 Ohms. Thewire in this image runs from the lower left to the upper right.The square in the center was machined first (leaving “snowpiles” along the edges). Then the small gap in the upper leftcorner was formed, and finally the gap in the lower rightcorner. White contour lines indicate constant-height curveson the wire.

Three data sets of a mixed molecular monolayer of perfluorooctadecanoicacid and tetracosanoic acid deposited on mica are shown to the left. Colordepicts the lateral friction of the sample with yellow areas indicating highfriction and red low. The white lines are contours separating areas of highvertical adhesion from areas of low adhesion. The data sets on this one-square-micron sample were obtained by scanning with a Topometrix atomic-force microscope. The adhesion data set is misaligned and distorted becauseit was obtained on a separate, slower pass over the sample.

This image is a 5-micron area of the surface of a compact disc, with tracksrunning from the upper left to the lower right. The lateral force of theprobe tip was measured along with the topography. A checkerboardpattern has been inlaid on the surface to indicate lateral force: areas ofhigh force have a strong pattern, while areas with less force display nopattern. The researchers plan to use image and bump-map textures,together with color and contour lines, to indicate multiple data setssimultaneously. The PixelFlow graphics engine will enable them to do thisrendering in real time.

This image highlights germanium pyramids and domes grownon silicon. Color is from curvature information, using the black-body radiation spectrum. The gridlines are drawn on 100 nMboundaries.

To the left is a close-up view of the preceding image,magnified and viewed from a different angle. Thenumbers show the distance in the plane and are verticalto the plane, indicating relative heights of the twobumps. These visualizations were performed forHewlett-Packard’s science labs.

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nanoManipulator

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CIC R&D Highlights

Information-driven Manufacturing

Systems Integration forManufacturing Applications

Manufacturing SystemsEnvironment

Technological innovations and advances are rapidly changing today’smanufacturing infrastructure. U.S. manufacturers are beingchallenged daily to become more productive through shortened

product development cycles, increased responsiveness, and flexibility. At thesame time, they must continually raise quality and control costs. Informationis the key issue in addressing these manufacturing challenges. Manufacturingfirms not only must design and maintain comprehensive databases rangingfrom designs and processes to supplier performance and customerrequirements. They must also have the tools to access the right informationat the right time and in the proper format.

Continuing leading-edge R&D focused on setting standards and providingtechnology solutions to manufacturing systems integration challenges hasbeen pioneered by NIST and other Federal agencies and promises to lead tothe realization of virtual enterprises, seamless manufacturing informationinterchange, and distributed collaborative engineering. With the availabilityof interoperable systems and effective information management capabilitieswithin and across enterprises, these information interface solutions will leadto innovative business models and reduced time-to-market.

NIST’s Systems Integration for Manufacturing Applications (SIMA) programis an ongoing effort whose goal is to apply state-of-the-art informationtechnologies to the manufacturing systems integration challenges faced byindustry. SIMA’s primary focus is developing and testing of standards-basedinformation interface solutions to these challenges. The program is alsoexploring techniques to provide easier access to the scientific data andanalyses needed in the development of new products and processes, as well asimproving technology for remote collaboration and interaction. Theprogram’s projects are organized into three major categories: theManufacturing Systems Environment (MSE), the Standards DevelopmentEnvironment (SDE), and the Testbeds/Technology Transfer Environment(TTTE).

MSE projects focus on developing integration technologies and standardsthat support a broad range of industrial manufacturing domains includingmechanical products, electronics, construction, and chemical processing.Systems of interest within these domains include design (product, process,and enterprise), planning, scheduling, process modeling, shop control,simulation, inspection, assembly, and machining. Typical integration and

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Human modeling applications,engineering analysis applications, andfactory simulation applications are beingintegrated using VRML technology.

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Standards DevelopmentEnvironment

Testbeds/Technology TransferEnvironment

interface technology solutions include information protocols for product andprocess data, information repositories, and frameworks.

SDE projects facilitate industry efforts to test evolving information exchangeand interface specifications using the Internet and to accelerate industrydeployment of consensus standards. One of the goals of SDE projects is toprovide effective support environments for developing standards as well asharmonizing the broad spectrum of those standards required for enterpriseintegration.

TTTE projects develop technology infrastructure that provides access togovernment research results and test prototype collaboration technologies inpartnership with industry and academia. Testbeds developed under TTTEauspices are intended to serve as collaborative testing and demonstrationsites and as focal points for disseminating information.

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Manufacturing

A prototype Web-based environment enablingremote collaborative experimentation with thehexapod machine tool in NIST's NationalAdvanced Manufacturing Testbed is underdevelopment.

This complex fuel filterassembly model is being usedto verify the efficacy of newproduct data exchangetechnology standards in theautomotive supply chain.

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CIC R&D Highlights

Environmental Modeling:Climate Change

The international climate community has focusedconsiderable research on detecting and projecting climatechange over the next century. Typical modeling experiments

simulate the transient global warming response of the coupledatmosphere-ocean system to an expected doubling of theatmosphere’s CO2 content over the next century. However, recentanalyses of future emission scenarios in international climatechange assessments suggest that, on a multi-century time scale, CO2

levels are likely to rise well beyond a doubling unless substantialemission reductions occur. To address this potential long-termscenario, NOAA’s scientists at the Geophysical Fluid DynamicsLaboratory (GFDL) have performed a series of multi-centuryintegrations of a global coupled ocean-atmosphere model in whichCO2 increases by one percent each year to a level four times that ofthe present climate and then remains constant thereafter.

Results from these quadrupled CO2 experiments (4xCO2) arecompared to a control run with current-day concentrations. Theexperiments project a substantial increase in surface airtemperature, with the summer warming predicted to increasemarkedly over much of the mid-latitude continental regions,including North America and Asia. The experiments’ temperaturechanges are nearly as large as the difference between the presentclimate and that of the Late Cretaceous Period that occurredapproximately 65-90 million years ago when dinosaurs stillinhabited the Earth. While model resolutions are quite lowcompared to those used for daily weather forecasts, the five-centuryduration of each model run requires many hundred processor-hours to complete on a high performance computing system.

Along with surface warming, sea ice coverage over the Arctic Oceanis projected to decrease substantially. Mean sea ice thickness (inmeters) in the model during late winter is shown in the illustration.The view is from above the North Pole; brown areas indicate themodel’s land regions. During late summer (not shown), sea ice isvirtually absent in the 4xCO2 experiment.

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Sea Ice

Thickness (meters)

0 1 2 3 4 5

Control

4xCO2

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CIC R&D Highlights

Environmental Modeling:Air Quality

Fine particles and health

Community Multi-scale AirQuality model

Scientific studies have linked fine particles (less than 2.5 microns)produced by wood stoves, agricultural burning, and conversion ofgases from fuel combustion to health problems such as aggravated

asthma, chronic bronchitis, and severe chest pain. The elderly suffering fromlung or heart disease and active children are most at risk from inhaling thesefine particles. Asthmatic children and even healthy adults face an additionalhealth risk from exposure to ground level ozone, a major ingredient of urbansmog.

To protect against these health risks, the Environmental Protection Agency(EPA) has proposed revisions to the Particulate Matter and Ozone NationalAmbient Air Quality Standards (NAAQS). States found in violation of thesestandards are required to prepare individual state implementation plans andperform air quality modeling studies to demonstrate how they will meet theNAAQS. Advanced computational techniques have enabled the developmentof a Community Multi-scale Air Quality (CMAQ) model to compute hourlyozone and fine-particle concentrations simultaneously as part of a “oneatmosphere” approach to exposure and risk assessment. Models-3, anenvironmental problem-solving framework built upon informationmanagement and distributed computing technology, enables state andlocal/regional air pollution control managers as well as local industry to usethese comprehensive multipollutant models to assist in environmentaldecision-making that affects the health, economic well-being, and quality oflife in their communities.

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Although ozone chemistry and sulfate particle formation are linked, changes in source emissionscan influence ozone and sulfate concentrations differently. For this reason, knowledge ofconcurrent production of ozone and fine particles is critical. In the illustration, predicted ozonelevels that meet the existing National Ambient Air Quality Standards but exceed the proposedrevised standards are shown in blue. The green areas show high sulfur dioxide concentrationsdirectly over large industrial sources, and the yellow plumes depict sulfate that was transformedfrom ground sources of sulfur dioxide and transported long distances by prevailing winds.

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The Presidential Advisory Committee OnHigh Performance Computing And Communications,

Information Technology,And The Next Generation Internet

On February 11, 1997, President Clintonsigned an Executive Order establishing theAdvisory Committee on High Performance

Computing and Communications, InformationTechnology, and the Next Generation Internet. TheCommittee is asked to assist the Administration’sefforts to accelerate development and adoption ofinformation technologies that will be vital forAmerican prosperity in the 21st century.

The twenty-one industry and academic leaders whoare members of the Committee represent theresearch, education, and library communities,network providers, and representatives from criticalindustries. President Clinton designated KenKennedy of Rice University and Bill Joy of SunMicrosystems as co-chairmen.

As part of the Executive Order creating the Committee, President Clinton has asked them for an independentassessment of:

❏ Progress made in implementing the High Performance Computing and Communications (HPCC) Program

❏ Progress in designing and implementing the Next Generation Internet initiative

❏ The need to revise the HPCC Program

❏ Balance among components of the HPCC Program

❏ Whether the research and development undertaken pursuant to the HPCC Program is helping to maintain U.S.leadership in advanced computing and communications technologies and their applications

❏ Other issues as specified by the Director of the Office of Science and Technology Policy (OSTP)

At the first meeting of the Advisory Committee on February 26 and 27, 1997, Dr. John H. Gibbons, the President’sScience Advisor and Director of OSTP, said, as he welcomed the members, “The technology of information lies at thecore of many of our hopes for America’s future-in industry and commerce, in education, in medicine, in the way wetalk with each other, in the way we organize knowledge.... We need your guidance to design programs that serve bothpublic needs and the needs of the companies that we must rely on to convert ideas into products, income, and jobs.” Atthis meeting, the Committee organized itself into the Broadbased, Highend, and NGI Subcommittees. The fullCommittee also convened June 24-25, 1997, and plans to meet December 9-10, 1997 and in March 1998.

The Committee conducted a review of the NGI initiative and submitted its assessment to OSTP as a letter report in May1997. The Committee enthusiastically supported the motivation, goals, and proposed investments embodied in the NGIprogram. They strongly encourage even closer coordination between the Federal NGI initiative, the academiccommunity’s complementary program known as Internet 2, and related federal and industrial efforts. Fourrecommendations were made:

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Presidential Advisory Committee

Ken Kennedy is Director of the Center for Research onParallel Computation at Rice University, and Ann andJohn Doerr Professor of Computer Science.

Bill Joy is co-founder and Vice President of Research atSun Microsystems.

Eric A. Benhamou is President, Chairman, and CEO of3Com Corporation.

Vinton Cerf is Senior Vice President of InternetArchitecture and Engineering at MCI Communications.

Ching-chih Chen is a Professor in the Graduate School ofLibrary and Information Science at Simmons College.

David Cooper is Associate Director of Computation at theLawrence Livermore National Laboratory.

Steven D. Dorfman is Executive Vice President of HughesElectronics Corporation and Chairman of HughesTelecommunications and Space Company.

Robert Ewald is Executive Vice President for ComputerSystems at Silicon Graphics, Inc.

David J. Farber is Alfred Fitler Moore Professor ofTelecommunications at the University of Pennsylvania.

Sherrilynne S. Fuller is Director of the Health SciencesLibraries and Information Center, Acting Director,Informatics, School of Medicine, and Director of theNational Network of Libraries of Medicine, PacificNorthwest Region at the University of Washington.

Hector Garcia-Molina is Leonard Bosack and SandraLerner Professor in the Departments of Computer Scienceand Electrical Engineering at Stanford University.

Susan Graham is Chancellor’s Professor of ComputerScience in the Department of Electrical Engineering andComputer Science at the University of California, Berkeley.

James N. Gray is a senior researcher in Microsoft’s ScalableServers Research Group and manager of Microsoft’s BayArea Research Center.

W. Daniel Hillis is a Vice President and Disney Fellow atWalt Disney Imagineering, Research and Development,Inc.

David C. Nagel is President of AT&T Labs.

Raj Reddy is Dean of the School of Computer Science andHerbert A. Simon University Professor of ComputerScience and Robotics at Carnegie Mellon University.

Edward H. Shortliffe is Associate Dean for InformationResources and Technology, Professor of Medicine, andProfessor of Computer Science at Stanford UniversitySchool of Medicine.

Larry Smarr is Director of the National ComputationalScience Alliance and Professor of Physics and Astrophysicsat the University of Illinois at Urbana-Champaign.

Leslie Vadasz is Senior Vice President and Director ofCorporate Business Development at Intel Corporation.

Andrew J. Viterbi is a co-founder of QUALCOMMIncorporated and Vice Chairman of its Board of Directors.

Steven J. Wallach is Advisor to CenterPoint Ventures.

Committee Members

❏ Make key investments now since today’s Internet is already showing signs of frailty and high bandwidtharchitectures and multimedia applications are stressing it for the future

❏ Encourage stronger cooperation since the NGI vision is beyond the scope of any one institution, company, orindustry sector and the Federal government can stimulate progress

❏ Encourage all sectors to invest to realize benefits by creating an environment in which breakthrough researchresults are possible

❏ Restate program goals to better match intended research objectives

These recommendations have been incorporated into the NGI initiative. Committee members testified about the NGIinitiative before the Senate Committee on Commerce, Science, and Transportation; the House Committee on Science;and the Congressional Internet Caucus.

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NSF

Supercomputing Centers (through FY 1998)

Cornell Theory Center (CTC), Ithaca, NY

National Center for Supercomputing Applications(NCSA), Urbana-Champaign, IL

Pittsburgh Supercomputing Center (PSC),Pittsburgh, PA

San Diego Supercomputing Center (SDSC), SanDiego, CA

National Center for Atmospheric Research (NCAR),Boulder, CO

PACI Centers

The NSF Partnerships for Advanced ComputationalInfrastructure Program (beginning in FY 1998) buildson and replaces the current NSF Supercomputer CentersProgram established in 1985 and focuses on takingadvantage of newly emerging opportunities in highperformance computing and communications.

National Computational Science Alliance (NCSA),Urbana-Champaign, IL

National Partnership for Advanced ComputationalInfrastructure (NPACI), San Diego, CA

Science & Technology Centers

Center for Cognitive Science, University ofPennsylvania

Center for Computer Graphics and ScientificVisualization, University of Utah

Center for Research in Parallel Computation (CRPC),Rice University

To foster technical research and demonstrate future directions of CIC R&D, Federal agenciesoperate numerous CIC research facilities across the country. These facilities provide

capabilities to (1) evaluate early prototype systems and provide valuable feedback to developers,(2) integrate visualization and virtual reality systems into existing high performance systems,(3) run full scale applications on systems not otherwise available, and (4) develop parallelsoftware using scaled down systems. These facilities provide access to innovations in networkconnectivity that allow large scale applications to run over remote connections.

The success of these research centers is attributed to many enabling technologies, such as high speednetworks, supercomputers, parallel architectures, massive data stores, and virtual reality display devices,and to the dedication of researchers, facility staff, hardware and software vendors, and industrial affiliates.All facilities provide extensive K-12 and undergraduate educational opportunities, as well as training forresearchers, graduate students, and faculty, and are ideal benchmarking sites for both systems andapplications.

Funding for these facilities, primarily provided by CIC R&D agencies, is leveraged heavily throughequipment and personnel from hardware and software vendors, discipline-specific agency funds, as wellas state and local funds, and industrial affiliate contributions, offering a low risk, collaborativeenvironment for exploring and ultimately exploiting CIC R&D technology. Below is a list of CIC R&Dresearch facilities categorized by the primary funding agency.

Computing, Information, and CommunicationsResearch Facilities

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CIC Research Facilities

NASA

Testbeds

Ames Research Center, Moffett Field, CA

Goddard Space Flight Center, Greenbelt, MD

Jet Propulsion Laboratory, Pasadena, CA

Langley Research Center, Langley, VA

Lewis Research Center, Cleveland, OH

DOE

Laboratories

Argonne National Laboratory, Chicago, IL

Los Alamos National Laboratory, Los Alamos, NM

National Energy Research Supercomputer Center atLawrence Berkeley National Laboratory, Berkeley, CA

Oak Ridge National Laboratory, Oak Ridge, TN

NIH

Systems

Frederick Biomedical Supercomputing Center at theNational Cancer Institute

Supercomputing Resources at the Division ofComputer Research and Technology

National Center for Research Resources’ HighPerformance Computing Resource Centers

Biomedical Computation Resource, University ofCaliformia, San Diego

Parallel Computing Resource for Structural Biology,University of North Carolina, Chapel Hill

Parallel Processing Resource for BiomedicalScientists, Cornell Theory Center, Cornell University

Resource for Concurrent Biological Computing,Beckman Institute, University of Illinois

Supercomputing for Biomedical Research, PittsburghSupercomputing Center

Theoretical Simulation of Biological Systems,Columbia University

National Center for Research Resources’ ScientificVisualization Resource Centers

Interactive Graphics for Molecular Studies, Universityof North Carolina, Chapel Hill

Special Research Resource for Biomolecular Graphics,University of California, San Francisco

NOAA

Laboratories

Forecast Systems Laboratory, Boulder, CO

Geophysical Fluid Dynamics Laboratory, Princeton,NJ

National Centers for Environmental Prediction,Camp Springs, MD

EPA

Systems

National Environmental Supercomputing Center,Bay City, MI

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CIC R&D Programs

National Coordination Office(NCO) for CIC

The National Science and Technology Council’s FY 1998Committee on Computing, Information, andCommunications (CCIC) encompasses the Computing,

Information, and Communications (CIC) R&D Subcommittee and itsfive Program Component Areas (PCAs), the Applications Council,and the Technology Policy Subcommittee. The twelve agenciesparticipating in the CIC R&D programs develop computing,information, and communications technologies in close cooperationwith academia and industry. The Presidential Advisory Committee onHigh Performance Computing and Communications, InformationTechnology, and the Next Generation Internet advises theAdministration on the CIC efforts of these agencies and on the futureof our Nation’s CIC R&D programs.

The NCO facilitates multi-agency CIC R&D activities, such as thepreparation of planning, budget, and assessment documents and thedevelopment of inter-agency CIC programs, and supports theactivities of the Presidential Advisory Committee. The NCO Director,who reports jointly to the Director of the Office of Science andTechnology Policy (OSTP), Executive Office of the President, and tothe Chair of the CCIC, serves as the chair of the CIC R&DSubcommittee.

50

WHITEHOUSE

Executive Office of the PresidentOffice of Science and Technology Policy

National Science and Technology Council

Committee on Computing,Information, and Communications

(CCIC)

NCO for Computing, Information, andCommunications

ApplicationsCouncil

Computing, Information, and CommunicationsR&D Subcommittee

High EndComputing and

ComputationWorking Group

(HECC)

Large ScaleNetworking

Working Group(LSN)

HighConfidence

SystemsWorking Group

(HCS)

HumanCenteredSystemsWorkingGroup(HuCS)

Education,Training, and

HumanResources

Working Group(ETHR)

TechnologyPolicy

Subcommittee

Presidential Advisory Committee on High Performance Computing

and Communications, Information Technology,

and the Next Generation Internet

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Presidential AdvisoryCommittee

CIC R&D Subcommittee

Applications Council

The CIC R&D Subcommittee and the NCO meet frequently withrepresentatives from Congress, Federal, state and local organizations,industry, academia, professional societies, foreign organizations, andothers to exchange technical and programmatic information about CICneeds, issues, and trends. During past years, the NCO, the CIC R&DSubcommittee, and the Applications Council have sponsored severalworkshops to promote government-industry interaction and to addresstechnical approaches to meet future architecture and software needs,including the:

❏ Workshop on Software Tools for High Performance ComputingSystems, October 1996

❏ PetaFLOPS Software Framework Model Workshop, January 1997

❏ Algorithms for PetaFLOPS, April 1997

❏ Workshop on Research Directions for the Next GenerationInternet, May 1997

❏ Workshop on Research and Development Opportunities inFederal Information Services, May 1997

Established February 11, 1997 by Executive Order 13035, thePresidential Advisory Committee on High Performance Computingand Communications (HPCC), Information Technology, and the NextGeneration Internet (NGI) provides the National Science andTechnology Council (NSTC), through the Director of OSTP, with anindependent assessment of progress made in Federal computing,communications, and information technology R&D and with advice oninitiatives such as the NGI.

Twenty-one industry and academic leaders comprise the PresidentialAdvisory Committee, which is organized into the Broadbased, High-End, and NGI Subcommittees. The full Committee convened February27-28, 1997, and June 24-25, 1997. Committee members testified beforethe Senate Committee on Commerce, Science, and Transportation; theHouse Committee on Science; and the Congressional Internet Caucus.The Committee conducted a review of the NGI initiative and submittedits assessment to OSTP as a letter report.

Chaired by the NCO Director, the CIC R&D Subcommittee consists ofrepresentatives from each participating agency and reports to the CCIC.The Subcommittee and its Executive Committee work with the agenciesto plan, budget, implement, and review the multi-agency CICprograms, helping to shape the Nation’s information infrastructure.The Subcommittee’s five PCA Working Groups meet regularly tocoordinate activities and discuss new initiatives.

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CIC R&D Programs

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Technology PolicySubcommittee

Federal Networking Council

CIC Program Evaluation

Established in 1997, the CCIC Applications Council facilitatespartnerships between Federal R&D and non-R&D agencies, to promoteearly application of CCIC-developed technologies within the Federalarena, in particular efforts that involve multiple agencies anddisciplines. The Council’s Working Groups address crisis management,Federal statistical information, the NGI, and universal access; workinggroups in geographical information systems and Federal-State-localgovernment interaction are planned for FY 1998. In FY 1997, theApplications Council conducted a Workshop on Research andDevelopment Opportunities in Federal Information Services. Theworkshop organizers issued a report outlining a digital governmentagenda focused on advanced information technology pilot projects inFederal agencies. Interaction with the Government InformationTechnology Services (GITS) Board include a digital government taskforce.

The Technology Policy Subcommittee (TPS), formerly the TechnologyPolicy Working Group of the Information Infrastructure Task Force(IITF) Committee on Applications and Technology, assists the CCIC inidentifying, addressing, and resolving relevant technology policy issues.The TPS interacts with key industry groups, encouraging technologypolicy that promotes open architecture, interconnections,interoperability, and standards. The TPS participates in industryconferences, produces white papers on strategic policy issues, initiatesprojects through its member organizations, provides support andrecommendations for legal and regulatory bodies, creates and chairspanels on technology policy issues, and makes recommendations to theCCIC.

To achieve greater efficiencies within the CCIC, the R&D activities ofthe Federal Networking Council (FNC) have been transferred to theLSN Working Group. The FNC’s Engineering and Operations WorkingGroup has been succeeded by the Joint Engineering Team for thepurpose of integrating the Federal networks that will be part of theNGI. The LSN’s Privacy and Security Working Group, formerly part ofthe FNC, works closely with the Applications Council in pilotingsecurity and privacy technologies in Federal applications. Non-R&Dactivities are being transferred to other Federal organizations (forexample, management of the .gov domain space is being transferred tothe General Services Administration (GSA)).

Critical analysis of the CIC programs is provided through thePresidential Advisory Committee, Federal and Federally-charteredorganizations, industrial and academic organizations, professionalsocieties, conferences, workshops, and reports. For example, recentNational Research Council/Computer Science and TelecommunicationsBoard analyses include:

52

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Buy American Report

Reports about CIC R&DPrograms

❏ “More than Screen Deep: Toward Every Citizen Interfaces to theNation’s Information Infrastructure,” August 1997

❏ “For the Record: Protecting Electronic Health Information,”March 1997

❏ “The Unpredictable Certainty: Information Infrastructurethrough 2000,” 1996

❏ “Computing and Communications in the Extreme: Research forCrisis Management and Other Applications,” 1996

Congress requires information concerning non-U.S. high performancecomputing and communications funding activities.

In FY 1997, DARPA was the only CIC R&D agency that entered intogrants, contracts, cooperative agreements, or cooperative research anddevelopment agreements for CIC R&D with either (1) a company otherthan a company that is either incorporated or located in the U.S. andthat has majority ownership by individuals who are citizens of the U.S.,or (2) an educational institution or nonprofit institution locatedoutside the U.S. DARPA has funded an award to the Department ofComputer Science, University of Warwick, England, for methods andtools for performance modeling, measurement, analysis, evaluation andprediction.

In FY 1997, no CIC R&D procurement exceeds $1 million forunmanufactured articles, materials, or supplies mined or producedoutside the U.S., or for manufactured articles, materials, or suppliesother than those manufactured in the U.S. substantially all fromarticles, materials, or supplies mined, produced, or manufactured in theU.S.

The NCO responds to thousands of information requests fromCongressional offices, industry, academia, and the public each year. Tofulfill these requests, the NCO provides print and video materials andmaintains Web servers that include all NCO publications since 1994;information on the CCIC and the organizations that report to it; thePresidential Advisory Committee; the Next Generation Internetinitiative; Congressional testimonies; links to the servers ofparticipating agencies; and other related information. Last year,individuals from approximately 100 countries accessed the NCO Website.

For the most up-to-date information on CIC programs, the reader isinvited to visit http://www.ccic.gov/.

53

CIC R&D Programs

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54

CIC R&D Summary

CIC R&D Goals

Assure continued U.S. leadership in computing, information, and communications

technologies to meet Federal goals and to support U.S. 21st century industrial, academic, and

defense interests

Accelerate deployment of advanced and experimental information technologies to maintain

world leadership in science, engineering, and mathematics; improve the quality of life;

promote long term economic growth; increase lifelong learning of citizens; protect the

environment; harness information technology; and enhance national security

Advance U.S. productivity and industrial competitiveness through long term scientific and

engineering research in computing, information, and communications technologies

CIC R&D Agencies

AHCPR – Agency for Health Care Policy and Research, Department of Health and

Human Services

DARPA – Defense Advanced Research Projects Agency, Department of Defense

DOE – Department of Energy

ED – Department of Education

EPA – Environmental Protection Agency

NASA – National Aeronautics and Space Administration

NIH – National Institutes of Health, Department of Health and Human Services

NIST – National Institute of Standards and Technology, Department of Commerce

NOAA – National Oceanic and Atmospheric Administration, Department of

Commerce

NSA – National Security Agency, Department of Defense

NSF – National Science Foundation

VA – Department of Veterans Affairs

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55

Evaluation Criteria for CIC R&D Programs

Relevance/Contribution

The research must significantly contribute to the overall goals of the Federal Computing, Information, and

Communications (CIC) R&D programs, which include the goals of the five Program Component Areas – High End

Computing and Computation (HECC), Large Scale Networking (LSN), High Confidence Systems (HCS), Human

Centered Systems (HuCS), and Education, Training, and Human Resources (ETHR) – to enable solution of Grand

Challenge- and National Challenge-class applications problems.

Technical/Scientific Merit

The proposed agency program must be technically/scientifically sound and of high quality and must be the product of a

documented technical/scientific planning and review process.

Readiness

A clear agency planning process must be evident, and the organization must have demonstrated capability to carry out

the program.

Timeliness

The proposed work must be technically/scientifically timely for one or more of the CIC R&D Program Component

Areas.

Linkages

The responsible organization must have established policies, programs, and activities promoting effective technical and

scientific connections among government, industry, and academic sectors.

Costs

The identified resources must be adequate, represent an appropriate share of the total available CIC R&D resources

(e.g., a balance among Program Component Areas), promote prospects for joint funding, and address long term

resource implications.

Agency Approval

The proposed program or activity must have policy-level approval by the submitting agency.

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56

Agency HPCC Budgetsby Program Component Area

FY 1997 Budget (Dollars in Millions)

Agency HECC LSN HCS HuCS ETHR TOTAL

DARPA 72.7 106.4 10.0 103.7 292.8NSF 129.2 72.3 1.2 57.8 19.1 279.6DOE 86.0 14.8 14.9 3.5 119.2NASA 88.0 14.6 1.6 4.5 5.7 114.4NIH 23.4 26.5 4.2 27.3 5.9 87.3NSA 30.4 3.5 7.3 41.2NIST 4.0 2.4 3.4 13.7 23.5VA 1.0 9.5 2.3 1.8 14.6ED 11.4 6.6 18.0NOAA 4.3 2.7 0.5 7.5EPA 5.6 0.6 6.2AHCPR 4.2 4.2TOTAL 445.6 252.8 30.0 240.4 40.8 1,008.5

FY 1998 Budget Request (Dollars in Millions)

Agency HECC LSN HCS HuCS ETHR TOTAL

DARPA 84.8 89.2 9.4 137.9 321.3 NSF 132.9 79.2 0.9 60.2 21.0 294.2DOE 90.8 48.8 9.9 3.0 152.5NASA 90.1 25.0 2.8 2.2 8.3 128.4NIH 23.7 28.2 4.1 29.3 6.4 91.7NSA 26.4 2.2 7.2 35.8NIST 4.0 5.5 3.4 13.6 26.5VA 7.5 5.4 9.2 22.1ED 12.0 12.0NOAA 4.3 2.7 0.5 7.5EPA 6.2 6.2AHCPR 5.5 5.5TOTAL 462.4 288.3* 33.2 281.2 38.7 1,103.7‡

* The requested FY 1998 LSN budget includes funds for the Next Generation Internet (NGI) Initiative. It alsoreflects the transition of DARPA’s mature technology research from networking development to networkingapplications. For example, DARPA’s FY 1998 allocation for HuCS includes $21 million transferred from its FY1997 networking research budget.

‡ These totals vary slightly from the President’s HPCC Budget. For example, funding for the Department ofTransportation, one of the candidate agencies for participation in CIC R&D activities, is not included.

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57

AChEAcetylcholinesterase, an enzyme.

ACTSAdvanced Computational Testing and Simulation.

ADAutomatically Differentiated.

ADICAutomatic Differentiation Tool.

ADLAlexandria Digital Library.

AFMAtomic Force Microscope.

AHCPRAgency for Health Care Policy and Research, partof the Public Health Service of the HHS.

AlgorithmA procedure designed to solve a problem.Scientific computing programs implementalgorithms.

ALUArithmetic Logic Unit.

ARPANetAdvanced Research Projects Agency Network.

ASCIDOE’s Accelerated Strategic Computing Initiative.

AskERICDepartment of Education’s Educational ResourcesInformation Center.

ATDNetAdvanced Technology Demonstration Network.

ATMAsynchronous Transfer Mode, a telecommunica-tions technology, also known as cell switching,which is based on 53-byte cells.

AVSSoftware package used to project the results fromsimulations onto molecular surfaces.

Backbone NetworkA high capacity electronic trunk — for examplethe NSFNET backbone — connecting lowercapacity networks.

BandwidthA measure of the capacity of a communicationschannel to transmit information; for example,millions of bits per second or Mb/s.

BenchmarkA point of reference (artifact) to compare anaspect of systems performance (for example, awell known set of programs). Also, to conduct andassess the computation (or transmission)capabilities of a system using a well knownartifact.

BITDARPA’s Broadband Information Technology.

BitAn acronym for binary digit.

Bps, or B/sAn acronym for bytes per second.

bps, or b/sAn acronym for bits per second.

Glossary

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58

ByteA group of adjacent binary digits operated uponas a unit (usually connotes a group of eight bits).

CC programming language.

C++C++ programming language, an object-orienteddescendant of the C language.

CADComputer-aided design.

CASNASA’s Computational Aerosciences Project.

CAVECAVE Automatic Virtual Environment. Asurround screen, surround sound, projection-based virtual reality (VR) system.

CCICCommittee on Computing, Information, andCommunications (formerly the Committee onInformation and Communications) of the NSTC.

CCMSComputational Center for MacromolecularStructure.

CICComputing, Information, and Communications.

CIC R&D SubcommitteeComputing, Information, and CommunicationsR&D Subcommittee (formerly HPCCIT), part ofCCIC.

CIMComputer Integrated Manufacturing.

CLIMVISAcronym for the Climate Visualization System atthe National Climatic Data Center.

CMAQCommunity Multi-scale Air Quality.

COTSCommercial off-the-shelf. Describes hardware andsoftware that are readily available commercially.

CPUCentral processing unit.

CRPC

Center for Research in Parallel Computation.

CSCMDOThe Coordinate and Sensitivity Calculator forMultidisciplinary Design Optimization code — a3-D volume grid generator.

CTComputed tomography.

CTCCornell Theory Center.

DARPADefense Advanced Research Projects Agency, partof DOD. Formerly ARPA.

Digital Libraries Initiative (DLI)Program that is developing an interoperabilityprotocol for interconnecting diverse libraries andservices.

DIIDefense Information Infrastructure.

Distributed Visualization ProjectDevelops data compression algorithms thatprovide fast data browsing and interactivevisualization capabilities.

DLITEDigital Library Integrated Task Environment.

DNADeoxyribonucleic Acid, a biomolecule from whichgenes are composed.

DODDepartment of Defense.

DOEDepartment of Energy.

DOE 2000Department of Energy program focusing ondiscovering solutions to the Department’sincreasingly complex scientific problems.

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Glossary

EDDepartment of Education.

EMCEnhanced Machine Controller.

EPAEnvironmental Protection Agency.

ESNetEnergy Sciences Network.

ESSEarth and Space Sciences.

ETHREducation, Training, and Human Resources. Oneof the five Program Component Areas.

EVLElectronic Visualization Laboratory.

Exa-A prefix denoting 1018, or a million trillion. (Forexample, exabytes).

FlopsAcronym for floating point operations per second.The term “floating point” refers to that format ofnumbers that is most commonly used forscientific calculation. Flops is used as a measure ofa computing system’s speed of performing basicarithmetic operations such as adding, subtracting,multiplying, or dividing two numbers.

FNCFederal Networking Council.

G, or Giga-A prefix denoting 109, or a billion. (For example,Gflops or gigaflops; gigabytes, gigabits).

GatewayA system that interconnects networks (orapplications) that communicate using differentprotocols, and bridges their differences bytransforming one protocol (message) intoanother.

GBAn acronym for Gigabyte.

GbAn acronym for Gigabit.

Gb/sGigabits per second.

GFDLNOAA’s Geophysical Fluid Dynamics Laboratory.

GflopsGigaflops, billions of floating point operations persecond.

GOESGeostationary Operational EnvironmentalSatellite.

Grand ChallengeA fundamental problem in science andengineering, with broad economic and scientificimpact, whose solution can be advanced byapplying high performance computing and/orcommunications techniques and resources.

GrIDSGraph-based Intrusion Detection System.

GSAGeneral Services Administration.

HCIHuman-Computer Interaction. A project at theMIT Artificial Intelligence Lab that exploresadvanced human-computer interaction andcollaboration technologies.

HCSHigh Confidence Systems. One of the fiveProgram Component Areas.

HECCHigh End Computing and Computation. One ofthe five Program Component Areas.

Heterogeneous systemA distributed system that contains more than onekind of computer.

HPCCHigh Performance Computing and Communi-cations.

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HuCSHuman Centered Systems. One of the fiveProgram Component Areas.

H-threadsHorizontal threads. Parallel instruction sequences.

IITFInformation Infrastructure Task Force.

INetInformation Network. A program of theDepartment of Education that manages theInternet and World Wide Web presence of theNational Library of Education.

INFOSECInformation Systems Security.

InternetThe global collection of interconnected,multiprotocol computer networks includingFederal, private, and international networks.

I/OInput/Output.

IPInternet Protocol.

ISVIndependent Software Vendor.

JTOJoint Technology Office.

K, or Kilo- A prefix denoting 103, or a thousand. (Forexample, kilobits/second).

Kb/sKilobits per second or thousands of bits persecond.

LANLLos Alamos National Laboratory.

LBNLLawrence Berkeley National Laboratory.

LLNLLawrence Livermore National Laboratory.

LPSLow pressure subsystem.

LSNLarge Scale Networking. One of the five ProgramComponent Areas.

M, or Mega-A prefix denoting 106, or a million. (For example,Mbps, or megabits per second; Mflops).

MADEManufacturing Automation and Design Engineer-ing.

Math and Science GatewayInternet link that connects students and educatorsto educational resources.

MBAn acronym for Megabyte.

MbAn acronym for Megabit.

MBONEMulticast backbone.

Mb/sMegabits per second or millions of bits persecond.

MCM3-D Diamond MCM Cube Computer, a projectthat will build a test vehicle to demonstrate a 3-Dcomputer architecture with a nanosecond systemclock.

MDHThe enzyme malate dehydrogenase.

MEDLARSMedical Literature Analysis and Retrieval System.Provides rapid access to the National Library ofMedicine’s biomedical and health information.

MEGMagnetoencephalography.

MELNIST’s Manufacturing Engineering Laboratory.

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Glossary

MflopsMegaflops, millions of floating point operationsper second.

MIPSMillions of instructions per second.

MITMassachusetts Institute of Technology.

MM5Mesoscale Meteorological model.

MOSISMetal-Oxide Semiconductor ImplementationSystem.

MPIMessage Passing Interface.

MRMagnetic Resonance.

MRAMetacenter Regional Alliance.

MRIMagnetic Resonance Imaging.

MSEManufacturing System Environment.

NAAQSNational Ambient Air Quality Standards.

NASNational Academy of Sciences.

NASANational Aeronautics and Space Administration.

National ChallengeA fundamental application that has broad anddirect impact on the Nation’s competitiveness andthe well-being of its citizens and that can benefitfrom the application of CIC technology andresources.

National Information Infrastructure (NII)The integration of hardware, software, and skillsthat will make it easy and affordable to connectpeople with each other, with computers, and witha vast array of services and information resources.

NCARNational Center for Atmospheric Research.

NCBINational Center for Biotechnology Information.

NCDCNOAA’s National Climatic Data Center.

NCINational Cancer Institute, part of NIH.

NCONational Coordination Office for Computing,Information, and Communications.

NCRRNational Center for Research Resources, part ofNIH.

NCSANational Computational Science Alliance,Urbana-Champaign, IL, successor to the NationalCenter for Supercomputing Applications.

NERSCNational Energy Research Supercomputer Center.

NetworkComputer communications technologies that linkmultiple computers to share information andresources across geographically dispersedlocations.

NGINext Generation Internet.

NIHNational Institutes of Health, part of HHS.

NIINational Information Infrastructure.

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NIST

National Institute of Standards and Technology,part of DOC.

NLMNational Library of Medicine, part of NIH.

nMnanoManipulator.

NOAANational Oceanic and Atmospheric Administra-tion, part of DOC.

NPACINational Partnership for Advanced Computa-tional Infrastructure.

NPSSNumerical Propulsion System Simulator.

NRENNASA’s Research and Education Network.

NSANational Security Agency, part of DOD.

NSFNational Science Foundation.

NSFNETNational Science Foundation computer networkprogram.

NSTCNational Science and Technology Council.

NTTPNumerical Tokamak Turbulence Project.

OCROptical character recognition.

OMBOffice of Management and Budget.

ORNLOak Ridge National Laboratory.

OSOperating system.

OSTPWhite House Office of Science and TechnologyPolicy.

PACIPartnerships for Advanced ComputationalInfrastructure.

Parallel processingSimultaneous processing by more than oneprocessing unit on a single application.

PARCPalo Alto Research Center.

PCAProgram Component Area. Structure of theComputing, Information, and CommunicationsR&D programs. Each PCA spans an area in whichmultiple agencies have activities. The five PCAsare High End Computing and Computation(HECC); Large Scale Networking (LSN); HighConfidence Systems (HCS); Human CenteredSystems (HuCS); and Education, Training, andHuman Resources (ETHR).

Peta-A prefix denoting 1015, or a thousand trillion. (Forexample, petabits).

PSCPittsburgh Supercomputer Center.

QDQuantum dynamics.

QMM/MMQuantum and classical mathematics.

QoSQuality of Service.

R&DResearch and development.

RCWSRadiology Consultation Workstation.

RSFQRapid single-flux quantum devices.

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Glossary

RTECRegional Technology in Education Consortium.

SAWSecure Access Wrapper.

SBSSScience Based Stockpile Stewardship.

ScalableA system is scalable if it can be made to have more(or less) computational power by configuring itwith a larger (or smaller) number of processors,amount of memory, interconnection bandwidth,input/output bandwidth, and amount of massstorage.

SDEStandards Development Environment.

SDSCSan Diego Supercomputer Center.

SGMLStandard Generalized Markup Language.

SIMASystems Integration for Manufacturing Applica-tions.

SIMDSingle Instruction Multiple Data.

SONETSynchronous Optical Network.

SSECSpace Science and Engineering Center of theUniversity of Wisconsin at Madison

STIMULATESpeech, Text, Image, and Multimedia AdvancedTechnology.

STMScanning Tunneling Microscope.

SUIFStanford University Intermediate Format.

T, or Tera-A prefix denoting 1012 or a trillion. (For example,terabits, teraflops).

TBATask Based Authorization.

TCP/IPTransmission Control Protocol/Internet Protocol.

TFTRTokamak Fusion Test Reactor.

THzTrillions of cycles per second

TPSThe Technology Policy Subcommittee.

TTTETestbeds and Technology Transfer Environment.

TVSText Video Speech.

UCLAUniversity of California-Los Angeles.

UCSDUniversity of California-San Diego.

UIUCUniversity of Illinois at Urbana-Champaign.

UMDLUniversity of Michigan Digital Library Project.

UMLSUnified Medical Language System.

UNCUniversity of North Carolina.

USCUniversity of Southern California.

VA

Department of Veterans Affairs.

vBNSVery high speed Backbone Network Services.

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Vis5DSystem for visualizing the output of atmosphericand ocean models with composite images fromthe Geostationary Operational EnvironmentalSatellite (GOES)

VLSIVery Large Scale Integration. A type of computerchip.

VRMLVirtual Reality Modeling Language.

V-threadsVertical threads. Exploit thread-level parallelism,and mask variable pipeline, memory, andcommunication delays.

WANWide area network.

WebA reference to the World Wide Web, which is asubset of the Internet supported by a related set ofprotocols, services, and software tools includingbrowsers.

Wireless technologiesCommunications technologies that use radio,microwave, or satellite communications channelsversus wire, coaxial, or optical fiber.

WPWeb Prototype.

WWWWorld Wide Web.

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NCO

Sally E. Howe, Ph.D.Acting Director/Chief of [email protected]

Donald M. Austin, [email protected]

Richard L. Bloom1996-1997 ComSci Fellow

Kristin JangerDirector's [email protected]

Catherine W. McDonaldSenior [email protected]

Terrence L. Ponick, Ph.D.Technical [email protected]

Ward FentonSystems [email protected]

Elizabeth H. KraighmanAdministrative [email protected]

Vicki L. HarrisAdministrative [email protected]

AHCPR

J. Michael Fitzmaurice, Ph.D.Director, Center for Information TechnologyAgency for Health Care Policy and Research2101 East Jefferson Street, Suite 602Rockville, MD 20852(301) 594-1483FAX: (301) 594-2333

Luis G. Kun, Ph.D.Senior Advisor, Center for Information TechnologyAgency for Health Care Policy and Research2101 East Jefferson Street, Suite 602Rockville, MD 20852(301) 594-1483FAX: (301) 594-2333

DARPA

David L. Tennenhouse, Ph.D.Director, Information Technology OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2255FAX: (703) 696-2202

David GunningProgram Manager, Information Systems OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2218FAX: (703) 696-2201

National Coordination Office for Computing, Information, and Communications (NCO)

Suite 6654201 Wilson BoulevardArlington, VA 22230(703) 306-HPCC (4722)FAX: (703) [email protected]

Internet/World Wide Web Server:

http://www.ccic.gov/

Contacts

65

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Bertram Hui, Ph.D.Program Manager, Information Technology OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2239FAX: (703) 696-2202

Ronald L. Larsen, Ph.D.Assistant Director, Information Technology OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2227FAX: (703) 696-6416

Robert Lucas, Ph.D.Assistant Director, Computation and Networking,

Information Technology OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2261FAX: (703) 696-2202

Teresa F. LuntProgram Manager, Information Survivability ProgramDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-4469FAX: (703) 696-2202

Hilarie OrmanProgram Manager, Information Technology OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2234FAX: (703) 696-2202

Robert RosenthalProgram Manager, Information Technology OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2264FAX: (703) 696-2202

Jay Allen Sears, Ph.D.Program Manager, Information Technology OfficeDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714Phone: Please use emailFAX: (703) 696-2202

Stephen L. SquiresSpecial Assistant for Information TechnologyDefense Advanced Research Projects Agency3701 North Fairfax DriveArlington, VA 22203-1714(703) 696-2226FAX: (703) 696-2209

DOE

Gilbert G. Weigand, Ph.D.Deputy Assistant Secretary, Strategic Computing and

SimulationDepartment of Energy1000 Independence Avenue, S.W.Washington, DC 20585 (202) 586-0568FAX: (202) 586-7754

David B. Nelson, Ph.D.Associate Director, Office of Computational and Technology

Research (OCTR)Department of EnergyOCTR, ER-3019901 Germantown RoadGermantown, MD 20874-1290(301) 903-7486FAX: (301) 903-4846

Robert J. AikenProgram Manager, Mathematical, Information, and

Computational Sciences (MICS) Division, Office ofComputational and Technology Research (OCTR)

Department of Energy OCTR/MICS, ER-3119901 Germantown RoadGermantown, MD 20874-1290(301) 903-9960FAX: (301) 903-7774

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Contacts

Daniel A. Hitchcock, Ph.D.Acting Director, Mathematical, Information, and

Computational Sciences (MICS) Division, Office ofComputational and Technology Research (OCTR)

Department of EnergyOCTR/MICS, ER-3119901 Germantown RoadGermantown, MD 20874-1290(301) 903-5800FAX: (301) 903-7774

Thomas A. Kitchens, Ph.D.Program Director, Mathematical, Information, and

Computational Sciences (MICS) Division, Office ofComputational and Technology Research (OCTR)

Department of EnergyOCTR/MICS, ER-3119901 Germantown RoadGermantown, MD 20874-1290(301) 903-5152FAX: (301) 903-7774

Norman H. KreismanAdvisor, International TechnologyDepartment of Energy, ER5Mailstop 3H049-FORS1000 Independence Avenue, S.W.Washington, DC 20585(202) 586-9746FAX: (202) 586-7152

Mary Anne Scott, Ph.D.Program Manager, Mathematical, Information, and

Computational Sciences (MICS) Division, Office ofComputational and Technology Research (OCTR)

Department of EnergyOCTR/MICS, ER-3119901 Germantown RoadGermantown, MD 20874-1290(301) 903-6368FAX: (301) 903-7774

George R. Seweryniak Program Manager, Mathematical, Information, and

Computational Sciences (MICS) Division, Office ofComputational and Technology Research (OCTR)

Department of EnergyOCTR/MICS, ER-3119901 Germantown RoadGermantown, MD 20874-1290(301) 903-0071FAX: (301) 903-7774

Paul H. Smith, Ph.D.Special Assistant, Advanced Computing Technology, Defense

Programs OfficeDepartment of EnergyDP-501000 Independence Avenue, S.W.Washington, DC 20585(202) 586-0992FAX: (202) 586-7754

ED

Linda G. Roberts, Ed.D.Director of Educational Technology,

Office of the Deputy SecretaryDepartment of EducationRoom 5164600 Independence Avenue, S.W.Washington, DC 20202(202) 401-1444FAX: (202) 401-3941

Alexis T. PoliakoffNetwork Planning StaffDepartment of EducationOHRA/IRG600 Independence Avenue, S.W.Washington, DC 20202(202) 708-5210FAX: (202) 260-5669

Tom CarrollDirector, Technology Innovation Challenge Grants ProgramDepartment of EducationOERIRoom 606555 New Jersey Avenue, N.W.Washington, DC 20208-5544(202) 208-3882FAX: (202) 208-4042

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EPA

Joan H. NovakHPCC Program Manager, MD-80Environmental Protection Agency79 T.W. Alexander DriveBuilding 4201Research Triangle Park, NC 27711(919) 541-4545FAX: (919) 541-1379

Robin L. Dennis, Ph.D.Senior Science Program Manager, MD-80Environmental Protection Agency79 T.W. Alexander DriveBuilding 4201Research Triangle Park, NC 27711(919) 541-2870FAX: (919) 541-1379

EPA FedEx address:

79 T.W. Alexander DriveBuilding 4201Research Triangle Park, NC 27709

NASA

Lee B. HolcombChief Information OfficerNational Aeronautics and Space AdministrationCode R300 E Street, S.W.Washington, DC 20546(202) 358-2747FAX: (202) 358-3550

Anngienetta R. JohnsonDirector, Enterprise Management Office, Office of

Aeronautics and Space Transportation TechnologyNational Aeronautics and Space AdministrationCode RM300 E Street, S.W.Washington, DC 20546(202) 358-4717FAX: (202) 358-3550

William J. Feiereisen, Ph.D.Program Manager, High Performance Computing and

Communications ProgramNational Aeronautics and Space AdministrationMailstop 269-3Ames Research CenterMoffett Field, CA 94035-1000(415) 604-4225FAX: (415) 604-7324

Phillip L. MilsteadInformation Technology Research Coordinator, Office of

Aeronautics and Space Transportation TechnologyNational Aeronautics and Space AdministrationCode RC300 E Street, S.W.Washington, DC 20546(202) 358-4619FAX: (202) 358-3550

David H. Bailey, Ph.D.Computer Scientist, NASA Ames Research CenterNational Aeronautics and Space AdministrationMail Stop T27A-1Moffett Field, CA 94035-1000(650) 604-4410FAX: (650) 604-3957

Kul B. BhasinActing Branch Chief, Satellite Networks and Architectures

BranchNational Aeronautics and Space AdministrationNASA Lewis Research Center21000 Brookpark RoadMail Stop 54-2Cleveland, OH 44135(216) 433-3676FAX: (216) 433-8705

Bruce T. BlaylockChief Engineer, Numerical Aerospace Simulation Systems

DivisionNational Aeronautics and Space AdministrationMail Stop 258-5NASA Ames Research CenterMoffett Field, CA 94035-1000(650) 604-4400FAX: (650) 604-4377

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Contacts

Wayne H. BryantAssistant Chief, Flight Electronics Technology Division, NASA

Langley Research CenterNational Aeronautics and Space AdministrationMail Stop 150Hampton, VA 23681(757) 864-1690FAX: (757) 864-8821

William J. CampbellHead, Applied Information Sciences Branch, NASA/GSFCNational Aeronautics and Space AdministrationCode 935 - NASA/GSFCGreenbelt, MD 20771(301) 286-8785FAX: (301) 286-1776

Richard desJardinsEOS Networks Senior Systems EngineerNASA Goddard Space Flight CenterBuilding 32, Room N230B, Code 505Greenbelt, MD 20771(301) 614-5329FAX: (301) 614-5267

Christine M. FalsettiNREN/NGI Project ManagerNASA Ames Research CenterMail Stop 233-10Moffett Field, CA 94035-1000(650) 604-6935FAX: (650) 604-6999

James R. FischerProject Manager, NASA HPCC/ESS ProjectNational Aeronautics and Space AdministrationCode 930, NASA/Goddard Space Flight CenterGreenbelt, MD 20771(301) 286-3465FAX: (301) 286-1634

Michael J. Gerald-YamasakiComputer Engineer, NASA Ames Research CenterNational Aeronautics and Space AdministrationMail Stop T27A-1Moffett Field, CA 94035-1000(650) 604-4412FAX: (650) 604-3957

Milt Halem, Ph.D.Chief, Earth and Space Data Computing Division, NASA

Goddard Space Flight CenterNational Aeronautics and Space Administration8800 Greenbelt RoadCode 930/Building 28, Room W230Greenbelt, MD 20771(301) 286-8834FAX: (301) 286-1777

Mark LeonLearning Technology Project ManagerNational Aeronautics and Space AdministrationMail Stop N269-3Moffett Field, CA 94035-1000(415) 604-6498FAX: (415) 604-4036

Stephen Scott SantiagoChief Information Officer, NASA Ames Research CenterNational Aeronautics and Space AdministrationMoffett Field, CA 94035-1000(650) 604-5015FAX: (650) 604-6999

Rick SmithEducational Technology Program Manager, NASA

Headquarters Education DivisionNational Aeronautics and Space AdministrationMail Code FEWashington, DC 20546(202) 358-1528FAX: (202) 358-3048

NIH

NIH HPCC Coordinator and DCRT contact:

Robert L. Martino, Ph.D.Acting Scientific Director, Division of Computer Research

and Technology (DCRT)Chief, Computational Bioscience and Engineering

Laboratory, Division of Computer Research andTechnology (DCRT)

National Institutes of Health12 South Drive, MSC 5624Building 12A, Room 2033Bethesda, MD 20892-5624(301) 496-1112FAX: (301) 402-2867

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DCRT program:

William L. RissoDeputy Director, Division of Computer Research and

Technology (DCRT)National Institutes of Health12 South Drive, MSC 5654Building 12A, Room 3033Bethesda, MD 20892-5654(301) 496-8277FAX: (301) 402-1754

NCI program:

Jacob V. Maizel, Ph.D.Biomedical Supercomputer Center,

National Cancer Institute,Frederick Cancer Research and Development Center

National Institutes of HealthP.O. Box B, Building 469, Room 151Frederick, MD 21702-1201(301) 846-5532FAX: (301) 846-5598

Cherie NicholsChief, Planning, Evaluation, and Analysis Branch, Office

of Science Policy, Office of Director,National Cancer Institute

National Institutes of HealthFederal Building, MSC 90107550 Wisconsin Avenue, Room 312Bethesda, MD 20892(301) 496-5515FAX: (301) 435-3876

NCRR program:

Judith L. Vaitukaitis, M.D.Director, National Center for Research ResourcesNational Institutes of Health31B Center DriveBuilding 31, Room 3B11Bethesda, MD 20892-2128(301) 496-5793FAX: (301) 402-0006

Richard M. DuBois, Ph.D.Head, Computer Technology Section National Institutes of HealthOne Rockledge Center6705 Rockledge Drive, Room 6148Bethesda, MD 20892-7965(301) 435-0758FAX: (301) 480-3659

NLM program:

Donald A.B. Lindberg, M.D.Director, National Library of MedicineNational Institutes of HealthBuilding 38, Room 2E17B8600 Rockville PikeBethesda, MD 20894(301) 496-6221FAX: (301) 496-4450

Michael J. Ackerman, Ph.D.Assistant Director for High Performance Computing and

Communications,National Library of Medicine

National Institutes of HealthBuilding 38A, Room B1N308600 Rockville PikeBethesda, MD 20894(301) 402-4100FAX: (301) 402-4080

NIST

R. J. (Jerry) LinnAssociate Director for Program Implementation,

Information Technology LaboratoryNational Institute of Standards and TechnologyBuilding 820, Room 634Gaithersburg, MD 20899-0001(301) 975-3624FAX: (301) 948-7242

Frederick C. Johnson, Ph.D.Associate Director for Computing, Information Technology

LaboratoryNational Institute of Standards and TechnologyBuilding 820, Room 672Gaithersburg, MD 20899-0001(301) 975-2700FAX: (301) 216-2075

Ronald F. Boisvert, Ph.D.Leader, Mathematical Software Group, Information

Technology LaboratoryNational Institute of Standards and TechnologyBuilding 820, Room 364Gaithersburg, MD 20899-0001(301) 975-3812FAX: (301) 990-4127

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Contacts

James FowlerSIMA Program ManagerNational Institute of Standards and TechnologyBuilding 304, Room 04Gaithersburg, MD 20899-0001(301) 975-3180FAX: (301) 926-3842

Craig W. HuntActing Chief, Advanced Network Technologies DivisionNational Institute of Standards and TechnologyBuilding 820, Room 445Gaithersburg, MD 20899-0001(301) 975-3600FAX: (301) 590-0932

Steven R. RayChief, Manufacturing Systems Integration DivisionNational Institute of Standards and TechnologyBuilding 220, Room A127Gaithersburg, MD 20899-0001(301) 975-3524FAX: (301) 258-9749

Shukri A. Wakid, Ph.D.Director, Information Technology LaboratoryNational Institute of Standards and TechnologyTechnology Building 225, Room A231Gaithersburg, MD 20899-0001(301) 975-2904FAX: (301) 840-1357

NOAA

Thomas N. Pyke, Jr.Director for HPCCNational Oceanic and Atmospheric AdministrationRoom 153001315 East-West HighwaySilver Spring, MD 20910(301) 713-3573FAX: (301) 713-4040

William T. TurnbullDeputy Director for HPCCNational Oceanic and Atmospheric AdministrationRoom 153001315 East-West Highway Silver Spring, MD 20910(301) 713-3573FAX: (301) 713-4040

Ernest DaddioProgram OfficerNational Oceanic and Atmospheric AdministrationRoom 154001315 East-West Highway Silver Spring, MD 20910(301) 713-1262FAX: (301) 713-1249

Jerry Mahlman, Ph.D.Director, Geophysical Fluid Dynamics LaboratoryNational Oceanic and Atmospheric AdministrationForrestal Campus, U.S. Route 1P.O. Box 308Princeton, NJ 08542(609) 452-6502FAX: (609) 987-5070

Ronald D. McPherson, Ph.D.Director, National Centers for Environmental PredictionNational Oceanic and Atmospheric Administration5200 Auth Road, Room 101Camp Springs, MD 20746(301) 763-8016FAX: (301) 763-8434

Alexander E. MacDonald, Ph.D.Director, Forecast Systems LaboratoryNational Oceanic and Atmospheric Administration325 BroadwayBoulder, CO 80303(303) 497-6378FAX: (303) 497-6821

Carl StatonManager, NOAA Network Information CenterNational Oceanic and Atmospheric Administration4700 Silver Hill RoadMS 9909Washington, DC 20233-9909(301) 457-5165FAX: (301) 457-5199

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NSA

George R. CotterChief ScientistNational Security Agency9800 Savage Road, Suite 6217-D5Fort Meade, MD 20755-6217(301) 688-6434FAX: (301) 688-4980

Norman S. GlickSenior Computer ScientistNational Security Agency9800 Savage Road, Suite 6217-D5Fort Meade, MD 20755-6217(301) 688-8448FAX: (301) 688-4980

Brian D. SnowISSO Technical DirectorNational Security Agency9800 Savage Road, Suite 6577Fort Meade, MD 20755-6577(301) 688-8112FAX: (301) 688-3090

Richard L. BloomSpecial Assistant to the Director of the National Computer

Security CenterNational Security Agency9800 Savage Road, Suite 6765Fort Meade, MD 20755-6765(410) 859-4372FAX: (410) 859-4375

Bruce B. BottomleyTechnical Director, Information Technology GroupNational Security AgencyATTN: Q, Suite 6643Fort Meade, MD 20755-6643(301) 688-9935FAX: (301) 688-9169

NSF

Juris Hartmanis, Ph.D.Assistant Director, Directorate for Computer and Information

Science and EngineeringNational Science Foundation4201 Wilson Boulevard, Suite 1105Arlington, VA 22230(703) 306-1900FAX: (703) 306-0577

Melvyn Ciment, Ph.D.Deputy Assistant Director, Directorate for Computer and

Information Science and EngineeringNational Science Foundation4201 Wilson Boulevard, Suite 1105Arlington, VA 22230(703) 306-1900FAX: (703) 306-0577

Robert Borchers, Ph.D.Division Director, Division of Advanced Scientific ComputingNational Science Foundation4201 Wilson Boulevard, Suite 1122Arlington, VA 22230(703) 306-1970FAX: (703) 306-0632

John Cherniavsky, Ph.D.Head, Office of Cross-Disciplinary ActivitiesNational Science Foundation4201 Wilson Boulevard, Suite 1160Arlington, VA 22230(703) 306-1980FAX: (703) 306-0589

Y.T. Chien, Ph.D.Division Director, Information, Robotics, and Intelligent

SystemsNational Science Foundation4201 Wilson Boulevard, Suite 1115Arlington, VA 22230(703) 306-1930FAX: (703) 306-0599

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Contacts

George O. Strawn, Ph.D.Division Director, Networking and Communications

Research and InfrastructureNational Science Foundation4201 Wilson Boulevard, Suite 1175Arlington, VA 22230(703) 306-1950FAX: (703) 306-0621

Mark A. LukerProgram Director, NSFNetNational Science Foundation4201 Wilson Boulevard, Suite 1175Arlington, VA 22230(703) 306-1949FAX: (703) 306-0621

Gary W. Strong, Ph.D.Program Director, Interactive SystemsNational Science Foundation4201 Wilson Boulevard, Suite 1115Arlington, VA 22230(703) 306-1928FAX: (703) 306-0599

VA

Daniel L. MaloneyDirector, Veterans Health Administration Technology ServiceDepartment of Veterans Affairs8403 Colesville Road, Suite 200Silver Spring, MD 20910(301) 427-3700FAX: (301) 427-3711

Rebecca L. KelleyManagement Analyst, Veterans Health Administration

Technology ServiceDepartment of Veterans Affairs8403 Colesville Road, Suite 200Silver Spring, MD 20910(301) 427-3750FAX: (301) 427-3711

OMB

Eric L. MacrisProgram Assistant

Office of Management and BudgetExecutive Office of the PresidentNew Executive Office Building, Room 8002725 17th Street, N.W.Washington, DC 20503(202) 395-3404FAX: (202) 395-4817

OSTP

Henry C. Kelly, Ph.D.Acting Associate Director for Technology,

Office of Science and Technology PolicyExecutive Office of the PresidentOld Executive Office Building, Room 42317th Street and Pennsylvania Avenue, N.W.Washington, DC 20502(202) 456-6046FAX: (202) 456-6023

Lori A. PerineCCIC Executive SecretarySenior Policy Advisor, Information Technology

Office of Science and Technology PolicyExecutive Office of the PresidentOld Executive Office Building, Room 42317th Street and Pennsylvania Avenue, N.W.Washington, DC 20502(202) 456-6039FAX: (202) 456-6023

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FY 1998 Editorial Group

EditorsMargaret L. SimmonsNational Coordination Office

Terrence L. PonickNational Coordination Office

Editorial Assistant

Kristin JangerNational Coordination Office

Writing Group

Ronald F. Boisvert, NISTRichard Dubois, NIHNorman S. Glick, NSARebecca L. Kelley, VAThomas A. Kitchens, DOELuis G. Kun, AHCPRRon Larsen, DARPAPhillip L. Milstead, NASAJoan H. Novak, EPAAlexis T. Poliakoff, EDWilliam T. Turnbull, NOAA

Acknowledgments

Many people contributed to this book, and we thank themfor their efforts. This especially includes the researcherswho provided descriptions of their work. We thank the staffof the National Coordination Office for their hard workand assistance.

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About the National Science and Technology Council:

President Clinton established the National Science and Technology Council (NSTC) by ExecutiveOrder on November 23, 1993. This cabinet-level council is the principal means for the President tocoordinate science, space, and technology policies across the Federal Government. NSTC acts as a“virtual agency” for science and technology to coordinate the diverse parts of the Federal researchand development enterprise. The NSTC is chaired by the President. Membership consists of the VicePresident, Assistant to the President for Science and Technology, Cabinet Secretaries, Agency Headswith significant science and technology responsibilities, and other White House officials.

An important objective of the NSTC is the establishment of clear national goals for Federal scienceand technology investments in areas ranging from information technologies and health research, toimproving transportation systems and strengthening fundamental research. The Council preparesresearch and development strategies that are coordinated across Federal agencies to form an invest-ment package that is aimed at accomplishing multiple national goals.

To obtain additional information regarding the NSTC, contact the NSTC Executive Secretariat at202-456-6100.

About the Office of Science and Technology Policy:

The Office of Science and Technology Policy (OSTP) was established by the National Science andTechnology Policy, Organization and Priorities Act of 1976. OSTP’s responsibilities include advisingthe President in policy formulation and budget development on all questions in which science andtechnology are important elements; articulating the President’s science and technology policies andprograms; and fostering strong partnerships among Federal, State, and local governments, and thescientific communities in industry and academe.

To obtain additional information regarding the OSTP, contact the OSTP Administrative Office at202-395-7347.

Cover Images

From top to bottom:

1. Properties of light nuclei (up to 40 neutrons and protons) are computed employingrealistic two- and three-nucleon interactions such as those illustrated here. (Page 9)

2. This image compares remotely sensed cloud data from the Geostationary OperationalEnvironmental Satellite (GOES) seen as white clouds at the bottom of the image with 3-D cloud data predicted by NCAR’s Mesoscale Meterological Model. (Page 14)

3. A close-up view of germanium pyramids and domes grown on silicon. Part of thenanoManipulator project. (Page 41)

4. Illustration depicting the collaborations involved in the Next Generation Internet initiative announced by President Clinton and Vice President Gore on October 10,1996. (Page 17)

5. Example of a patient’s record containing multidisciplinary images available over net-works to authorized health care providers. (Page 23)

6. A three-dimensional simulation of the jumping figure, the first of its kind, consumes800 CPU hours on an IBM SP2. (Page 29)

7. One view of a virtual city created using the Virtual Reality Modeling Language.Potential applications include treating acrophobia. (Page 27)

8. An abundance of free educational information is available to educators and studentsthrough the World Wide Web. (Page 34)

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National Coordination Office forComputing, Information, and Communications

Suite 6654201 Wilson Blvd.

Arlington, VA 22230(703) 306-4722

[email protected]

www.ccic.gov

NATIO

NALSCIENCE AND TECHNOLOGY

COU

NCI

L