Performance Metrics and Models for Shared Cache  

作　　者：丁晨 向晓娅 包斌 罗昊 罗英伟 汪小林 

机构地区：[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

出　　处：《Journal of Computer Science & Technology》2014年第4期692-712,共21页计算机科学技术学报（英文版）

基　　金：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;a research grant from Huawei

摘　　要：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.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.

关 键 词：memory performance metric cache sharing reuse distance 

分 类 号：TP333[自动化与计算机技术—计算机系统结构]