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Increasing Parallel Program Performance with the LC Memory Consistency Model

Increasing Parallel Program Performance with the LC Memory Consistency Model
使用 LC 内存一致性模型提高并行程序性能
批准号:
0105540
负责人:
Lori Pollock
金额:
$27.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-07-01 至 2005-06-30

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中文摘要
翻译
这项研究在启用和评估编译器优化在显式并行程序中的单处理器性能的应用方面迈出了重要的一步,具有灵活的内存一致性视图。两个重要的未解决的问题是:(1)在编译器分析和优化SC衍生模型的新发展中,与共享内存并行程序的顺序一致性(SC)衍生模型相比,位置一致性(LC)内存模型可以获得什么样的性能?(2)作为两种不同方法之间的妥协,通过开发由编译器技术支持的程序员控制的内存一致性策略,是否可以在同一个程序中支持sc衍生模型和LC模型?结果将包括:(1)编程模型的规范和实现,该模型假设基于LC模型的存储系统的端到端视图;以及对其可编程性的研究,(2)维护程序员控制的内存一致性的编译分析,以便程序员可以在同一应用程序的不同部分选择内存模型,(3)在软件缓存环境中基于LC模型开发和改进缓存一致性协议,(4)在不同内存一致性模型和缓存协议下对编译器优化和程序性能的实验评估。
英文摘要
This research takes a significant step towards enabling and evaluating the application of compileroptimizations for uniprocessor performance within explicitly parallel programs, with a flexible viewof memory consistency. Two important unanswered questions are targeted: (1) What kind of performance can be gained with the Location Consistency (LC) memory model in comparisonto the sequential consistency (SC)-derived models for shared memory parallel programs,amidst the new developments of compiler analysis and optimization for SC-derived models?(2) As a compromise between the two divergent approaches, can both the SC-derived models and the LC model be supported within the same program, by developing a programmer-controlled memory consistency strategysupported by compiler technology?The resultswill include:(1) specification and implemenation of a programming model that assumes an end-to-end view of the memory system based on the LC model, and a study of its programmability,(2) compilation analyses to uphold programmer-controlled memory consistency so programmers can choose between the memory models in different parts of the same application,(3) development and refinement of cache consistency protocols based on the LC model in a software caching context,(4) experimental evaluation of compiler optimization and program performance underdifferent memory consistency models and cache protocols.
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会议论文
Collaborative Research: SHF: Small: Exploiting Performance Correlations for Accurate and Low-cost Performance Testing for Serverless Computing
  • 批准号:
    2155097
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.3万
  • 财政年份:
    2022
  • 负责人:
    Lori Pollock
  • 依托单位:
Collaborative Research: Minoritized Youth Computer Science Learning, Belonging and Career Interest: Coding and Creating with Beats
  • 批准号:
    2048793
  • 项目类别:
    Standard Grant
  • 资助金额:
    $63.72万
  • 财政年份:
    2021
  • 负责人:
    Lori Pollock
  • 依托单位:
Teacher-Driven Development, Implementation, and Assessment of Integrated Computational Thinking in Grades 3-5
  • 批准号:
    1923483
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2019
  • 负责人:
    Lori Pollock
  • 依托单位:
SHF: Small: Collaborative Research: Automatically Enhancing Quality of Social Communication Channels to Support Software Developers and Improve Tool Reliability
  • 批准号:
    1813253
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.59万
  • 财政年份:
    2018
  • 负责人:
    Lori Pollock
  • 依托单位:
国内基金
海外基金
强流低能加速器束流损失机理的Parallel PIC/MCC算法与实现