›› 2014,Vol. 29 ›› Issue (4): 692-712.doi: 10.1007/s11390-014-1460-7

所属专题: Computer Architecture and Systems

• Special Section on Selected Paper from NPC 2011 • 上一篇    下一篇

共享缓存性能的度量与分析

Chen Ding1 (丁晨), Xiaoya Xiang1 (向晓娅), Bin Bao1 (包斌), Hao Luo1 (罗昊), Ying-Wei Luo2 (罗英伟), and Xiao-Lin Wang2 (汪小林)   

  1. 1. Department of Computer Science, University of Rochester, Rochester, NY 14627-0226, U.S.A.;
    2. School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
  • 出版日期:2014-07-05 发布日期:2014-07-05
  • 作者简介:Chen Ding received his Ph.D. degree from Rice University, M.S. degree from Michigan Technological University, and B.S. degree from Beijing University, all in computer science before joining University of Rochester in 2000. His research received young investigator awards from NSF and DOE. He co-founded the ACM SIGPLAN Workshop on Memory System Performance and Correctness (MSPC) and was a visiting researcher at Microsoft Research and a visiting associate professor at MIT. He is an external faculty fellow at IBM Center for Advanced Studies.
  • 基金资助:

    The work is partially supported by the National Natural Science Foundation of China (NSFC) under Grant No. 61232008, the NSFC Joint Research Fund for Overseas Chinese Scholars and Scholars in Hong Kong and Macao under Grant No. 61328201, the National Science Foundation of USA under Contract Nos. CNS-1319617, CCF-1116104, CCF-0963759, an IBM CAS Faculty Fellowship and a research grant from Huawei. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding organizations.

Performance Metrics and Models for Shared Cache

Chen Ding1 (丁晨), Xiaoya Xiang1 (向晓娅), Bin Bao1 (包斌), Hao Luo1 (罗昊), Ying-Wei Luo2 (罗英伟), and Xiao-Lin Wang2 (汪小林)   

  1. 1. Department of Computer Science, University of Rochester, Rochester, NY 14627-0226, U.S.A.;
    2. School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
  • Online:2014-07-05 Published:2014-07-05
  • About author:Chen Ding received his Ph.D. degree from Rice University, M.S. degree from Michigan Technological University, and B.S. degree from Beijing University, all in computer science before joining University of Rochester in 2000. His research received young investigator awards from NSF and DOE. He co-founded the ACM SIGPLAN Workshop on Memory System Performance and Correctness (MSPC) and was a visiting researcher at Microsoft Research and a visiting associate professor at MIT. He is an external faculty fellow at IBM Center for Advanced Studies.
  • Supported by:

    The work is partially supported by the National Natural Science Foundation of China (NSFC) under Grant No. 61232008, the NSFC Joint Research Fund for Overseas Chinese Scholars and Scholars in Hong Kong and Macao under Grant No. 61328201, the National Science Foundation of USA under Contract Nos. CNS-1319617, CCF-1116104, CCF-0963759, an IBM CAS Faculty Fellowship and a research grant from Huawei. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding organizations.

性能度量和建模是正确理解程序并进而进行优化的先决条件。本文介绍了一种新的基于足迹(footprint)的程序局部性理论,并对四十年来相关的研究进行了评述。具体内容包括:性能度量及其测量、性能度量间的变换、共享缓存内程序的局部性和性能建模,以及其它的相关技术。

Abstract: Performance metrics and models are prerequisites for scientific understanding and optimization. This paper introduces a new footprint-based theory and reviews the research in the past four decades leading to the new theory. The review groups the past work into metrics and their models in particular those of the reuse distance, metrics conversion, models of shared cache, performance and optimization, and other related techniques.

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