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Collaborative Research: Feedback-driven Resiliency for Near-Threshold Systems

Collaborative Research: Feedback-driven Resiliency for Near-Threshold Systems
协作研究:反馈驱动的近阈值系统弹性
批准号:
1255892
负责人:
Vijay Janapa Reddi
金额:
$9.6万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-04-01 至 2017-03-31

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中文摘要
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英文摘要
Near-threshold voltage (NTV) operation has emerged as a promising strategy to improve energy-efficiency by reducing the supply voltage while exploiting parallelism to compensate for frequency loss. NTV processors combined with "Turbo mode" can also offer peak performance, thereby making them suitable for a range of dynamic workload behaviors. Despite the promise, applications of these systems have remained largely elusive due to many issues. This research, involving VLSI circuits, computer architecture, and software systems, for the first time, addresses the reliability challenges of NTV/Turbo mode systems in the context of device aging and variability. Researchers will integrate distributed system monitors and controls to enable power-efficient fault resiliency for on-chip NTV/Turbo-mode cores. The work will lay the foundations for a feedback-directed optimization system that tunes the hardware's execution to meet application requirements by balancing performance, reliability and energy consumption.Our society's productivity and advancements are intimately tied to the predictable and sustainable operation of the world's computing infrastructure. Unfortunately, this trend is beginning to falter due to increasing computer energy consumption. Aggressive energy reductions are tightly coupled with destabilizing computer system performance and longevity. The research will uncover observations that are necessary to overcome the problem in near-threshold voltage systems that hold great promise for further advanced computing. Using an approach spanning both the hardware and software layers, researchers will investigate and develop novel techniques to overcome the energy problem. Such a holistic and joint effort across the layers is the key for ensuring our society's long-term success based on advanced computing.
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Collaborative Research: Conference: DESC: Type III: Eco Edge - Advancing Sustainable Machine Learning at the Edge
  • 批准号:
    2342497
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.5万
  • 财政年份:
    2024
  • 负责人:
    Vijay Janapa Reddi
  • 依托单位:
Collaborative Research: DESC: Type 2: Delphi: Life-time aware design frameworks for sustainable edge devices
  • 批准号:
    2324862
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2023
  • 负责人:
    Vijay Janapa Reddi
  • 依托单位:
SHF: Small: High-Performance, Energy-Efficient Mobile Web Computing
  • 批准号:
    1619283
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2016
  • 负责人:
    Vijay Janapa Reddi
  • 依托单位:
SHF: Small: Collaborative Research: Resilient Computing Systems Using Deep Learning Techniques
  • 批准号:
    1528045
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.5万
  • 财政年份:
    2015
  • 负责人:
    Vijay Janapa Reddi
  • 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)