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An adaptive alarm-based approach to high-performance/low-cost computing

An adaptive alarm-based approach to high-performance/low-cost computing
基于自适应警报的高性能/低成本计算方法
批准号:
0429782
负责人:
David Brooks
金额:
$37.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-15 至 2008-08-31

项目摘要

项目成果

David Brooks的其他基金

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中文摘要
翻译
该项目解决了现代微处理器设计中标称和特殊峰值操作条件之间日益增长的差距,特别强调热和电力输送系统。在这个项目中,我们将开发和评估一种适应性的、多学科的方法来解决这个问题。我们建议描述电压和热紧急情况的普遍性,并探索在运行时感知和检测这些紧急情况的方法。我们还建议开发灵活和可扩展的体系结构接口,将报警信息传递到一个新的二进制转换层,在该层中对报警信息进行处理并修改执行流以避免原始紧急事件的重复发生。该项目旨在解决未来计算机系统设计中的一个关键问题;特别是在能源效率和性价比比峰值性能更重要的设计原则的应用领域。提出的项目旨在重新调整微处理器的设计,考虑到这一新兴趋势,并允许更多的应用程序在大容量的网络服务,如网络搜索,计算基因组学/生物学,以及大规模的多人角色扮演游戏(例如,军事模拟),以实现可观的价格/性能收益。
英文摘要
This project addresses the growing gap between nominal and exceptional peak operating conditions in modern microprocessor designs with particular emphasis on thermal and power delivery systems. In this project, we will develop and evaluate an adaptive, multi-disciplinary approach to the problem. We propose to characterize the prevalence of voltage and thermal emergency conditions and explore methods to sense and detect these emergencies at runtime. We also propose to develop flexible and extensible architectural interfaces to pass alarm information to a novel binary translation layer, where the alarm information is processed and the execution stream modified to avoid recurrences of the original emergencies.This project seeks to address a key problem in the design of future computer systems; particularly in application domains where energy efficiency and the ratio of price-to-performance are more important design principles than peak performance. The proposed project aims to realign the design of microprocessors given this emerging trend and allow a greater number of applications in high-volume web services like web searches, computational genomics/biology, and massively multi-player role-playing games (e.g., military simulations) to achieve substantial price/performance gains.
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会议论文
Collaborative Research:PPoSS:Planning: Streamware - A Scalable Framework for Accelerating Streaming Data Science
  • 批准号:
    2118985
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.5万
  • 财政年份:
    2021
  • 负责人:
    David Brooks
  • 依托单位:
SHF: Medium: A Cloudless Universal Translator
  • 批准号:
    1704834
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2017
  • 负责人:
    David Brooks
  • 依托单位:
CSR: SMALL: Virtualized Accelerators for Scalable, Composable Architectures
  • 批准号:
    1718160
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2017
  • 负责人:
    David Brooks
  • 依托单位:
SHF: Small: Exploration of energy-optimized computing architectures using integrated voltage regulators
  • 批准号:
    1218298
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2012
  • 负责人:
    David Brooks
  • 依托单位:
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