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II-New: System Acquisition for the Development of Scalable Parallel Algorithms for Scientific Computing

II-New: System Acquisition for the Development of Scalable Parallel Algorithms for Scientific Computing
II-新:用于开发科学计算可扩展并行算法的系统获取
批准号:
0958512
负责人:
Stephen Siegel
金额:
$74.98万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-05-01 至 2013-04-30

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中文摘要
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英文摘要
Parallel computing now plays a central role in nearly every science and engineering endeavor. The leading supercomputers today comprise hundreds of thousands of processors, and in the near future are expected to comprise millions of processors. Researchers at the University of Delaware are working to harness this vast computing power to make ground-breaking scientific discoveries. This work requires fundamental algorithmic research and development to address issues such as multiscale coupling, scalability, and hybrid message-passing/threaded programming.The investigators are building a new, highly parallel, computing system for scientific computation research and teaching at the University of Delaware. This computer consists of approximately 1,600 processors, and is expandable to many more. UD researchers who share a common interest in scalable parallel computation plan to explore a variety of scientific applications: 3D Navier-Stokes solvers for environmental turbulent flows; "ensemble analysis" in oceanic forecasting; computational electromagnetism; simulation of emulsion microstructure for environmental pollution control and material synthesis; electronic structure calculations for atoms and molecules; multiscale cloud dynamics for more reliable weather and climate prediction; computational carbon nanoelectronics; and vorticity-dominated flows. The new computer will be used to optimize the current algorithms in each application, help identify limitations to scalability, and explore new ideas to enable scaling to hundreds of thousands of processors and to take advantage of hybrid architectures. The system motivates collaboration among faculty interested in application problems and faculty with expertise in computer science. Libraries for efficient parallel data redistribution and automatic optimization of parallel codes are some of the ways the computer scientists participating in the project are enhancing the scientific applications.
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Collaborative Research: DOE/NSF Workshop on Correctness in Scientific Computing
  • 批准号:
    2319662
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2023
  • 负责人:
    Stephen Siegel
  • 依托单位:
Collaborative Research: SHF: Medium: Practical and Rigorous Correctness Checking and Correctness Preservation for Irregular Parallel Programs
  • 批准号:
    1955852
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $44.85万
  • 财政年份:
    2020
  • 负责人:
    Stephen Siegel
  • 依托单位:
FMitF: Track II: Usability, Robustness, and Performance Improvements for CIVL
  • 批准号:
    2019309
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2020
  • 负责人:
    Stephen Siegel
  • 依托单位:
SHF: Small: Contracts for Message-Passing Parallel Programs
  • 批准号:
    1319571
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2013
  • 负责人:
    Stephen Siegel
  • 依托单位:
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