Scalable Proximity-Aware Cache Replication in Chip Multiprocessors

Chongmin Li, Haixia Wang, Y. Xue, Dongsheng Wang, Jian Li
{"title":"Scalable Proximity-Aware Cache Replication in Chip Multiprocessors","authors":"Chongmin Li, Haixia Wang, Y. Xue, Dongsheng Wang, Jian Li","doi":"10.1109/PACT.2011.35","DOIUrl":null,"url":null,"abstract":"We propose Proximity-Aware cache Replication (PAR), an LLC replication technique that elegantly integrates an intelligent cache replication placement mechanism and a hierarchical directory-based coherence protocol into one cost-effective and scalable design. Simulation results on a 64-core CMP show that PAR can achieve 12\\% speedup over the baseline shared cache design with SPLASH2 and PARSEC workloads. It also provides around 5\\% speedup over a couple contemporary approaches with much simpler and scalable support.","PeriodicalId":106423,"journal":{"name":"2011 International Conference on Parallel Architectures and Compilation Techniques","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Parallel Architectures and Compilation Techniques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACT.2011.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We propose Proximity-Aware cache Replication (PAR), an LLC replication technique that elegantly integrates an intelligent cache replication placement mechanism and a hierarchical directory-based coherence protocol into one cost-effective and scalable design. Simulation results on a 64-core CMP show that PAR can achieve 12\% speedup over the baseline shared cache design with SPLASH2 and PARSEC workloads. It also provides around 5\% speedup over a couple contemporary approaches with much simpler and scalable support.
芯片多处理器中可扩展的邻近感知缓存复制
我们提出了就近感知缓存复制(PAR),这是一种LLC复制技术,它将智能缓存复制放置机制和基于分层目录的一致性协议优雅地集成到一个具有成本效益和可扩展的设计中。在64核CMP上的仿真结果表明,在SPLASH2和PARSEC工作负载下,PAR可以比基线共享缓存设计实现12%的加速。它还提供了大约5%的加速,比一些现代的方法更简单和可扩展的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信