• Big Data
    Interagency Working Group
    (BD IWG)

    The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.

    BigData
  • Cyber Physical Systems Interagency Working Group (CPS IWG)

    The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).

    CPS
  • Cyber Security and Information Assurance Interagency Working Group (CSIA IWG)

    Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.

    CSIA
  • Health IT R&D
    Interagency Working Group

    The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.

    healthitrd
  • Human Computer Interaction & Information Management Interagency Working Group (HCI&IM IWG)

    HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.

    hciim
  • High Confidence Software & Systems Interagency Working Group (HCSS IWG)

    HCSS R&D supports development of scientific foundations and enabling software and hardware technologies for the engineering, verification and validation, assurance, and certification of complex, networked, distributed computing systems and cyber-physical systems (CPS).

    hcss
  • High End Computing Interagency Working Group (HEC IWG)

    The HEC IWG coordinates the activities of the High End Computing (HEC) Infrastructure and Applications (I&A) and HEC Research and Development (R&D) Program Component Areas (PCAs).

    hec
  • Large Scale Networking Interagency Working Group
    (LSN IWG)

    LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.

    lsn
  • Software Productivity, Sustainability, and Quality Interagency Working Group (SPSQ IWG)

    The purpose of the SPSQ IWG is to coordinate the R&D efforts across agencies that transform the frontiers of software science and engineering and to identify R&D areas in need of development that span the science and the technology of software creation and sustainment.

    sdp
  • Video and Image Analytics
    Interagency Working Group (VIA IWG)

    Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics

    VIA CG
  • Wireless Spectrum Research and Development Interagency Working Group (WSRD IWG)

    The Wireless Spectrum R&D (WSRD) Interagency Working Group (IWG) has been formed to coordinate spectrum-related research and development activities across the Federal government.

    WSRD

File:Scientific Discovery through Advanced Computing.pdf

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Scientific_Discovery_through_Advanced_Computing.pdf(file size: 436 KB, MIME type: application/pdf)

Scientific Discovery through Advanced Computing

Office of Science

U.S. Department of Energy


Executive Summary

Computational modeling and simulation are among the most significant developments in the practice of scientific inquiry in the 20th Century. Within the past two decades, scientific computing has become an important contributor to all scientific research programs. It is particularly important for the solution of research problems that are insoluble by traditional theoretical and experimental approaches, hazardous to study in the laboratory, or time-consuming or expensive to solve by traditional means. All of the research programs in the U.S. Department of Energy's Office of Science-in Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, and High-Energy and Nuclear Physics-have identified major scientific challenges that only can be addressed through advances in scientific computing.

Advances in computing technologies during the past decade have set the stage for a major step forward in modeling and simulation. Within the next five years, computers 1,000 times faster than those available to the scientific community today, i.e., terascale computers, will be at hand. However, to deliver on this promise, these increases in "peak" computing power, i.e., the maximum theoretical speed that a computer can attain, must be translated into corresponding increases in the capabilities of scientific codes. This is a daunting problem that will only be solved by increased investments in computer software-the scientific codes for simulating physical phenomena, the mathematical algorithms that underlie these codes, and the computing systems software that enables the use of high-end computer systems.

In the FY 2001 budget, the Office of Science (SC) has proposed a set of coordinated investments focused on the scientific and computational problems that must be solved to address the critical scientific challenges in all of SC's research programs. SC has a long history of use of and accomplishments in scientific computing and has often served as the proving ground for many new computer technologies. SC now intends to bring its experience and expertise to bear to realize the promise of terascale computers for its basic science programs. The SC-wide effort will focus on:

  • Scientific Challenge Codes-research, development, and deployment of mathematical models, computational methods, and scientific codes to take full advantage of the capabilities of terascale computers as well as use of this new research capability to solve critical scientific problems in SC's research programs.
  • Computing Systems and Mathematical Software-research, development, and deployment of software to accelerate the development of and protect long-term investments in scientific codes, to achieve maximum efficiency on high-end computers, and to enable a broad range scientists to use simulation in their research.
  • Collaboratory Software Infrastructure-research on network technologies and research, development, and deployment of software to link geographically separated researchers, to facilitate movement of large (petabyte) data sets, and to ensure that academic scientists can fully participate in the activities described above.


These activities will be supported by upgrades to SC's existing Scientific Computing Hardware Infrastructure. This infrastructure has been designed to meet the needs of SC's research programs. It is robust-to provide computing resources for scientific research; agile-to respond to innovative advances in computer technology; and flexible-to ensure that the most effective and efficient resources are used to solve each class of problems.

The above investments by the Office of Science will produce a Scientific Computing Software Infrastructure that bridges the gap between advanced research in applied mathematics and computer science and computational science research in the physical, chemical, biological, and environmental sciences. The Scientific Computing Software Infrastructure, combined with the Scientific Computing Hardware Infrastructure, will allow researchers supported by the Office of Science to solve challenging scientific problems at a level of accuracy and detail never before achieved.

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