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CISE Postdoctoral Research Associates in Experimental Computer Science: Experimental Evaluation of Active Caches For Fine Grain Multi-Threading Systems

CISE Postdoctoral Research Associates in Experimental Computer Science: Experimental Evaluation of Active Caches For Fine Grain Multi-Threading Systems
CISE 实验计算机科学博士后研究员:细粒度多线程系统的活动缓存的实验评估
批准号:
9901553
负责人:
Guang Gao
金额:
$6.07万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-08-15 至 2001-07-31

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中文摘要
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英文摘要
9901553Gao, Guang R.University of DelawareCISE Postdoctoral Associates in Experimental Computer Science: ExperimentalEvaluation of Active Caches for Fine Grain Multi-Threading SystemsThis research will investigate the effect of active cache memories on computer system performance. An active cache is capable of controlling complex data transformations and data movements under the direction of a programmer or compiler. This study, performed through system simulation, requires designing active caches, proposing performance models for the caches, and developing compiler mechanisms to support the percolation model of execution.A percolation model of execution has been proposed in which the application requests that some data transformations be performed and that the transformed data be transferred to a higher level in the memory hierarchy. A thread becomes ready for execution when the data that it needs has percolated. The active caching mechanism is necessary in systems in which the latency to fetch a piece of data in a lower level of the memory hierarchy is much higher than the time required to process the data.The effectiveness of caches that actively percolate data closer to the processing unit before the execution of a piece of code starts is being proposed. This model is different from traditional pre-fetching because itis not based in any prediction mechanism: the instructions requesting the percolation of a data block are inserted into the code either under the programmer direction or through compiler technology. It is expecedt that the experimental study that demonstrates the viability of this idea will spur further research in the area of active hardware system components.
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XPS: FULL: CCA: Collaborative Research: SPARTA: a Stream-based Processor And Run-Time Architecture
  • 批准号:
    1439097
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.1万
  • 财政年份:
    2014
  • 负责人:
    Guang Gao
  • 依托单位:
SHF: MEDIUM: Collaborative Research: Architecture, Programmability, and Performance of Large Scale Parallel Systems
  • 批准号:
    1065448
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2011
  • 负责人:
    Guang Gao
  • 依托单位:
Advanced Software Technology for an Exascale Point Design Study
  • 批准号:
    0925863
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2009
  • 负责人:
    Guang Gao
  • 依托单位:
Collaborative Research: Programming Models and Storage System for High Performance Computation with Many-Core Processors
  • 批准号:
    0937907
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2009
  • 负责人:
    Guang Gao
  • 依托单位:
海外基金