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SHF: Small: Footprint Models and Techniques for Multi-core Cache Management

SHF: Small: Footprint Models and Techniques for Multi-core Cache Management
SHF:小型:多核缓存管理的占用空间模型和技术
批准号:
1116104
负责人:
Chen Ding
金额:
$37.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2015-08-31

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中文摘要
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英文摘要
This research aims at developing new theories and techniques tobetter understand and manage shared memory cache in multi-core architectures. The core concept is program footprint, which is the amount of memory access in a period ofexecution. Complete measurement requires counting data access in allexecution windows, which is too costly. Thisresearch develops computational methods to first make all-windowanalysis feasible through a set of new profiling algorithms and thenmake this analysis cost-effective by reducing the cost through statisticalinference, sampling, and parallel profiling and effectively obtainingthis information in real time as a program executes. Footprintinformation is essential in analyzing cache sharing between programsand program tasks. It enables the second part of the project, a setof tools that predict the performance of parallel workloads withoutparallel testing. In addition, the footprint information enables afundamentally different approach to common techniques. In the thirdpart, the project develops a new cache-hint insertion tool toapproximate optimal caching and amemory-performance tuning tool to be used by software developer.As multi-core processors become commonplace and cloud computing isgaining acceptance, more applications are run in a shared environment.The outcome of this research will fundamentally alter the wayprogrammers understand and improve memory performance on multi-coresystems. Software developers and hardware engineers will have a newtool set to tackle the complex problem of managing on-chip memory fornot just sequential but also parallel code and for not just achievinggood performance but also for ensuring stable performance in a dynamicenvironment. The broader impacts of this research will includedeeper understanding and more precise characterization of localityin computational processes, which has implications in othercomputing-related disciplines, and memory efficient software andhardware design, which saves energy and cost and has broad economicaland social benefits.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3315573.3329987
发表时间: 2019-06
期刊: Proceedings of the 2019 ACM SIGPLAN International Symposium on Memory Management
影响因子: --
作者: [Pengcheng Li;Hao Luo;C. Ding]
通讯作者: Pengcheng Li;Hao Luo;C. Ding
Codestitcher: inter-procedural basic block layout optimization
Codestitcher:程序间基本块布局优化
DOI: 10.1145/3302516.3307358
发表时间: 2019
期刊: Proceedings of the 28th International Conference on Compiler Construction {CC} 2019
影响因子: --
作者: [Lavaee, Rahman, Criswell, John, Ding, Chen]
通讯作者: Ding, Chen
SHF: Small: Data Movement Complexity: Theory and Optimization
  • 批准号:
    2217395
  • 项目类别:
    Standard Grant
  • 资助金额:
    $57.15万
  • 财政年份:
    2022
  • 负责人:
    Chen Ding
  • 依托单位:
Collaborative Research: SHF: Small: Programmable Hierarchical Caches: Design, Programming, and Prototyping
  • 批准号:
    2114319
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.97万
  • 财政年份:
    2021
  • 负责人:
    Chen Ding
  • 依托单位:
CNS Core:Small: Prescriptive Software Caching Using Leases
  • 批准号:
    1909099
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.98万
  • 财政年份:
    2019
  • 负责人:
    Chen Ding
  • 依托单位:
SHF:Small: Optimization of Parallel and Shared Cache Memory using the Footprint Theory
  • 批准号:
    1717877
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.63万
  • 财政年份:
    2017
  • 负责人:
    Chen Ding
  • 依托单位:
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  • 资助金额:
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  • 负责人:
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    31972324
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2019
  • 负责人:
    高学文
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