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A Data-Driven Approach to Programming Multiprocessor Systems

A Data-Driven Approach to Programming Multiprocessor Systems
数据驱动的多处理器系统编程方法
批准号:
9013965
负责人:
Jean-Luc Gaudiot
金额:
$12.7万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-03-01 至 1993-08-31

项目摘要

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中文摘要
翻译
这个研究项目的目的是解决 多处理器系统的编程和性能评估。 这是通过系统地选择几个有代表性的 数字和非数字领域的问题, 他们在基于Inmos Transceiver的机器上实现。 与现成的多处理器(如Sequent和 联盟)将进行。 这项工作将从理论上进行, 努力开发高度可编程的用户环境, 在评估功能平行的有效性的实验工作 方案编制办法。
英文摘要
The purpose of this research project is to attack the issues of programming and performance evaluation of multiprocessor systems. This is done by a systematic selection of several representative problems in the numerical as well as the non-numerical domain and their implementation on a machine based on Inmos Transputers. Comparison with off-the-shelf multiprocessors (e.g. Sequent and Alliant) will be undertaken. The work will proceed with theoretical efforts in developing highly programmable user environments as well as experimental work in assessing the validity of the functional parallel programming approach.
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SaTC: CORE: Small: Securing information systems with flexible hardware techniques
  • 批准号:
    2026675
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2020
  • 负责人:
    Jean-Luc Gaudiot
  • 依托单位:
SHF:Medium:Collaborative Research:Fine-Grain Multithreading through Hardware/Software Co-Design
  • 批准号:
    1763793
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $47.5万
  • 财政年份:
    2018
  • 负责人:
    Jean-Luc Gaudiot
  • 依托单位:
XPS: FULL: CCA: Collaborative Research: SPARTA: a Stream-based Processor And Run-Time Architecture
  • 批准号:
    1439165
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.1万
  • 财政年份:
    2014
  • 负责人:
    Jean-Luc Gaudiot
  • 依托单位:
SHF: MEDIUM: Collaborative Research: Architecture, Programmability and Performance of Large Scale Parallel Systems
  • 批准号:
    1065147
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2011
  • 负责人:
    Jean-Luc Gaudiot
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information