课题基金 / 基金详情

Collaborative Research: Globally Optimized Robust Systems on Multi-Core Hardware

Collaborative Research: Globally Optimized Robust Systems on Multi-Core Hardware
协作研究:多核硬件上的全局优化鲁棒系统
批准号:
0903459
负责人:
Subhasish Mitra
金额:
$19.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2012-07-31

项目摘要

项目成果

Subhasish Mitra的其他基金

相似基金

相关文献

中文摘要
翻译
这个项目的重点是以最低的成本设计健壮的多核系统,这些系统对硬件故障具有弹性。它的动机是硬件设计中迫在眉睫的范式转变,这是由于未来工艺技术中日益严重的硬件故障问题造成的。核心愿景是开发技术和工具,用于设计跨多个抽象层进行全局优化的分层健壮的多核系统。电路,架构,运行时和应用程序?不会招致昂贵的冗余技术的高成本。跨学科的方法将整合研究和教育,以实现未来强大的系统。由于其跨领域的性质,拟议的研究有可能对未来的系统产生重大影响,使未来的技术规模化,从而使日常生活更美好。
英文摘要
The focus of this project is on designing robust multi-core systems at lowest cost that are resilient to hardware failures. It is motivated by an imminent paradigm shift in hardware design resulting from the growing problem of hardware failures in future process technologies. The central vision is to develop techniques and tools for designing hierarchical robust multi-core systems that are globally optimized across multiple abstraction layers ? circuit, architecture, runtime, and application ? without incurring the high cost of expensive redundancy techniques. An inter disciplinary approach will integrate research and education required to enable future robust systems. Because of its cross-cutting nature, the proposed research has the potential of having a major impact on future systems, enabling future technology scaling, thus making everyday lives better.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: SHF: Small: Quasi Weightless Neural Networks for Energy-Efficient Machine Learning on the Edge
  • 批准号:
    2326895
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2023
  • 负责人:
    Subhasish Mitra
  • 依托单位:
FuSe-TG: The Future of Semiconductor Technologies for Computing through Device-Architecture-Application Co-Design
  • 批准号:
    2235329
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.96万
  • 财政年份:
    2023
  • 负责人:
    Subhasish Mitra
  • 依托单位:
E2CDA: Type I: Collaborative Research: Energy Efficient Learning Machines (ENIGMA)
  • 批准号:
    1640078
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $67.85万
  • 财政年份:
    2016
  • 负责人:
    Subhasish Mitra
  • 依托单位:
Collaborative Research: Visual Cortex on Silicon
  • 批准号:
    1317470
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2013
  • 负责人:
    Subhasish Mitra
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)