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The Information Technology R&D Initiative

The Information Technology R&D Initiative. Computer and Information Science and Engineering Robert R. Borchers Division Director Advanced Computational Infrastructure and Research ORAP, March 21, 2000. Overview. ITR agenda maps PITAC into ITR and beyond

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The Information Technology R&D Initiative

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  1. TheInformation Technology R&D Initiative Computer and Information Science and Engineering Robert R. Borchers Division Director Advanced Computational Infrastructure and Research ORAP, March 21, 2000

  2. Overview ITRagenda maps PITAC into ITR and beyond • Fundamental, long-term thematic IT research • Advanced computing for science, engineering, and the Nation • Ethical, social, and economic implications of Information Revolution • Education and training of America’s IT workforce • Five teraflop computing capability for S&E research FY 2000 Current Plan • Information technology research - $90 million • Terascale acquisition - $36 million

  3. ITR Research Agenda Increase fundamental, long-term, high risk basic research • Software – security, reliability, scalability, ease of reuse • Human-Computer Interface and Information Management • High-End Computing • Scalable Information Infrastructure • Socioeconomic, Ethical, Legal & Workforce Implications

  4. Life Sciences Information Sciences PhysicalSciences,Engineering A Vision of the World in 2010 Life Sciences Social , Behavioral, Economic Sciences Social , Behavioral, Economic Sciences IT2 Research IT2 Research PhysicalSciences,Engineering Information Sciences 2000 2010

  5. Software Goals • Increase productivity • Reduce fragility • Strengthen security • Manifest adaptiveness and flexibility Methods • Seek revolutionary ideas and validate on realistic problems • Increase science base underlying software development • Bring greater engineering discipline to development process • Incorporate self-stability to achieve fault-tolerance, load-balancing, etc.

  6. High-End Computing Pyramid “Familiar problems are made more acute by greater scale, diversity, and performance requirements” – Herb Schorr

  7. High-End Computing Research Goals • Develop enabling computational science technologies for all disciplines • Advance the fundamental high-end computingstate of the art Methods • Encourage exploration of new ideas in scalable software and scientific visualization • Launch a major program for scientific applications • Establish cross-directorate activity

  8. Scalable Information Infrastructure:Ubiquitous Connectivity Global Suburban& rural Urban In-building Pico-Cell Satellite Macro-Cell Micro-Cell Pico-Cell Adapted from Tim Hewitt, “UMTS Overview,” TIA inf. Session, ITU Comf., Mpls, MN, Oct. 17-18, 1998

  9. Socioeconomic, Ethical, Legal & Workforce Implications Economic and social implications of IT Interaction between social and computer scientists Workforce • Understanding the pipeline • Technology for learning • Innovation in education • Mentoring

  10. High End Computing in IT2 • The Presidential Information Technology Advisory Committee (PITAC) recommended: • Major new investments in long-term computing research, including high-end computation, and • Providing a terascale computing system to support future computational and computer science research. • NSF’s implementation of a terascale system, following a full and open competition, would augment the resources available to the Science and Engineering computation community through the Partnerships for Advanced Computational Infrastructure (PACI) program.

  11. Presidential Advisory Commission on Information Technology • High-end needs highlighted by PITAC • Long-term research in innovative computing technologies & software • Funding leading-edge computing facilities for research • High-end recommendations by PITAC • Major new investments in long-term research enabling high-end computation • Terascale equipment acquisition supporting current computational and computer science research • Integrated research and development plan to create balanced petaflop systems by 2010 • Addressing these will require coordinated efforts with other IT2 thrusts

  12. HPCC Workshops Background • NSF hosted 3 workshops in 1998 to identify HPC challenges • Science workshop findings • Important applications need large scale computing, large memories, high bandwidth networking and I/O • Algorithms workshop findings • Algorithm development requires teams with representation of applications and computer science • Algorithms must demonstrate usefulness for applications on BIG systems • Software workshop findings • HPCC potential of large parallel systems can only be partially fulfilled due to limited programmability, limited understanding of end to end behavior, inadequate data management, … • Software research is necessary in all of these areas

  13. Universities With Projects Using the PACI Supercomputers 850 Projects in 280 Universities

  14. Computational Science Terascale Examples • Weather and Climate Prediction • Protein Folding • Cosmology • Chemical Kinetics • Gravitational Waveforms • Seismology • Combustion Systems • Large Scale Economic Systems Analyses • Materials Sciences

  15. Capability Computing - Numerical Prediction of Thunderstorms Moore, OK Tornadic Storm Moore, OK Tornadic Storm 2-Hour ARPS Computer Forecast Down to the Scale of Counties -- Run on the 256-Node Origin 2000 at NCSA 7 pm NEXRAD Radar Observations Nat’l Weather Service Computer Forecast (unable to represent individual thunderstorms) Moore, OK Tornadic Storm Missing! Same Computer Forecast Without NEXRAD Radar Data Central Oklahoma, May 3 1999, 7:00 pm CDT

  16. Five years ago, this sort of prediction was deemed theoretically impossible. Now it’s being done in real time! With terascale systems it will be routine. NSF Science and Technology Center for Analysis and Prediction of Storms University of Oklahoma

  17. Review and Selection Criteria The normal NSF review criteria will be used, plus examination of: • Delivery schedules, costs, and system performance • Evidence that the institution can mount and sustain the system • Construction and operations budgets, and sources of funds • Quality and credibility of the following plans: • Physical Facility, • Computer Acquisition and System Integration, • Staffing & Management, • Computing Resource Management, • Network Connectivity, and • Education.

  18. Human-Computer Interaction & Information Management Goals • To use information technology effectively and efficiently • To make computers do what we want • To find out what we wish to know Research Themes • Active Knowledge • Computer Human Boundary • Human Support and Augmentation

  19. Scalable Information Infrastructure:Central Research Issues Scalability Heterogeneity Self-management Adaptability Security/privacy Reliability Dynamic Networks

  20. ITR Multidisciplinarity Multidisciplinary research stressed • Encourages projects simultaneously contributing to IT and other disciplines Cross-directorate collaboration and involvement • Extensive consultation in planning process • Multi-directorate ITR Coordinating Committee • Advises CISE AD • NSF-wide contact point • Responsible for preproposal and full proposal reviews

  21. Status of ITR Research Competition Solicitation released Sept. 28, 1999 Project Budgets over $500K • Letters of intent due Nov. 15, 1999 • Preproposals due Jan. 5, 2000 (Panel review early Feb. 2000) • Full proposals due Apr. 17, 2000 (Panel review mid May 2000) Project Budgets under $500K • Letters of intent due Jan. 5, 2000 • Full proposals due Feb. 14, 2000 (Panel review mid Mar. 2000)

  22. ITR Management Impact Assessment • Annual awardee progress and final reports • Midterm external reviews, site visits, and/or PI meetings for research project awards with budgets above $500K • Internal tracking of all awards • Reporting to external groups, e.g., PITAC, OSTP, OMB, and interagency ITRworking group • External Program Evaluation planned in FY2003

  23. Challenges and Opportunities Involving teaching faculty Role of research institutes Support for research/engineering staff Changing Federal IT support picture, e.g., • Possible change in DARPA research emphases • Possible increase NIH participation • No FY 2000 Terascale hardware funding for DOE

  24. Challenges/Opportunities Forging collaborative interdisciplinary environments, e.g., • IT and Biology in bioinformatics • IT and Physics in quantum computing • IT and Chemistry in molecular switching • Computer Science and Computational Sciences...

  25. ITR Management Review Process • CISE and other directorates participate, as relevant • Multi-level • Pre-proposal, full-proposal, site-visit (as necessary) • Final award decision by AD/CISE in consultation with other ADs Awards • 30% of program funding in ~ $2M-$4M/year awards • 40% of program funding in ~$1M/year awards • 30% of program funding in ~$150K/year awards

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