基于LRU2-MRU协同缓存替换算法的多核系统共享缓存仿真

Shan Ding, Shiya Lui, Yuanyuan Li
{"title":"基于LRU2-MRU协同缓存替换算法的多核系统共享缓存仿真","authors":"Shan Ding, Shiya Lui, Yuanyuan Li","doi":"10.1109/SNPD.2012.112","DOIUrl":null,"url":null,"abstract":"The L2 shared cache is an important resource for multi-core system. The cache replacement algorithm of L2 shared cache is one of the key factors in judging whether the L2 shared cache of multi-core system is efficient. In this paper, we study shared-cache simulation for multi-core with the LRU2-MRU collaborative cache replacement algorithm. We propose a theoretical foundation for LRU2-MRU to show the property, test the stack distance of the LRU2-MRU algorithm. In addition, the simulation results demonstrate that the MPKI (misses per thousand instructions) of LRU2-MRU is lower than other cache replacement algorithm, and the miss ratio for shared-cache can be reduce through cache replacement algorithm optimization.","PeriodicalId":387936,"journal":{"name":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Shared-Cache Simulation for Multi-core System with LRU2-MRU Collaborative Cache Replacement Algorithm\",\"authors\":\"Shan Ding, Shiya Lui, Yuanyuan Li\",\"doi\":\"10.1109/SNPD.2012.112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The L2 shared cache is an important resource for multi-core system. The cache replacement algorithm of L2 shared cache is one of the key factors in judging whether the L2 shared cache of multi-core system is efficient. In this paper, we study shared-cache simulation for multi-core with the LRU2-MRU collaborative cache replacement algorithm. We propose a theoretical foundation for LRU2-MRU to show the property, test the stack distance of the LRU2-MRU algorithm. In addition, the simulation results demonstrate that the MPKI (misses per thousand instructions) of LRU2-MRU is lower than other cache replacement algorithm, and the miss ratio for shared-cache can be reduce through cache replacement algorithm optimization.\",\"PeriodicalId\":387936,\"journal\":{\"name\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2012.112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2012.112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

L2共享缓存是多核系统的重要资源。L2共享缓存的缓存替换算法是判断多核系统L2共享缓存是否高效的关键因素之一。本文研究了基于LRU2-MRU协同缓存替换算法的多核共享缓存仿真。我们提出了LRU2-MRU的理论基础,以展示LRU2-MRU算法的特性,测试LRU2-MRU算法的堆栈距离。此外,仿真结果表明,LRU2-MRU的MPKI(每千条指令失误率)低于其他缓存替换算法,通过优化缓存替换算法可以降低共享缓存的失误率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Shared-Cache Simulation for Multi-core System with LRU2-MRU Collaborative Cache Replacement Algorithm
The L2 shared cache is an important resource for multi-core system. The cache replacement algorithm of L2 shared cache is one of the key factors in judging whether the L2 shared cache of multi-core system is efficient. In this paper, we study shared-cache simulation for multi-core with the LRU2-MRU collaborative cache replacement algorithm. We propose a theoretical foundation for LRU2-MRU to show the property, test the stack distance of the LRU2-MRU algorithm. In addition, the simulation results demonstrate that the MPKI (misses per thousand instructions) of LRU2-MRU is lower than other cache replacement algorithm, and the miss ratio for shared-cache can be reduce through cache replacement algorithm optimization.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
KC3 Browser: Semantic Service Mush-up for Global Knowledge Sharing and Discovery DSCLU: A New Data Stream Clustring Algorithm for Multi Density Environments Content Espresso: A Global Secure Large File Sharing System for Media Industries Prototype Implementation of a GPU-based Interactive Coupled Fluid-Structure Simulation Smart Energy Management of Multi-threaded Java Applications on Multi-core Processors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1