多核处理器的防御循环平铺

Bin Bao, Xiaoya Xiang
{"title":"多核处理器的防御循环平铺","authors":"Bin Bao, Xiaoya Xiang","doi":"10.1145/2247684.2247701","DOIUrl":null,"url":null,"abstract":"Loop tiling is a compiler transformation that tailors an application's working set to fit in a cache hierarchy. On today's multicore processors, part of the hierarchy, especially the last level cache (LLC) is shared. In this paper, we show that cache sharing requires special types of tiling depending on the co-run programs. We analyze the reasons for the performance difference and give a defensive strategy that performs consistently the best or near the best. For example, when compared with conservative tiling, which tiles for private cache, the performance of defensive tiling is similar in solo-runs but up to 20% higher in program co-runs, when tested on an Intel multicore processor.","PeriodicalId":130040,"journal":{"name":"Workshop on Memory System Performance and Correctness","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Defensive loop tiling for multi-core processor\",\"authors\":\"Bin Bao, Xiaoya Xiang\",\"doi\":\"10.1145/2247684.2247701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Loop tiling is a compiler transformation that tailors an application's working set to fit in a cache hierarchy. On today's multicore processors, part of the hierarchy, especially the last level cache (LLC) is shared. In this paper, we show that cache sharing requires special types of tiling depending on the co-run programs. We analyze the reasons for the performance difference and give a defensive strategy that performs consistently the best or near the best. For example, when compared with conservative tiling, which tiles for private cache, the performance of defensive tiling is similar in solo-runs but up to 20% higher in program co-runs, when tested on an Intel multicore processor.\",\"PeriodicalId\":130040,\"journal\":{\"name\":\"Workshop on Memory System Performance and Correctness\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Memory System Performance and Correctness\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2247684.2247701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Memory System Performance and Correctness","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2247684.2247701","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

循环平铺是一种编译器转换,它调整应用程序的工作集以适应缓存层次结构。在今天的多核处理器上,部分层次结构,特别是最后一级缓存(LLC)是共享的。在本文中,我们表明缓存共享需要特殊类型的平铺,这取决于共同运行的程序。我们分析了性能差异的原因,并给出了一个始终表现最好或接近最好的防御策略。例如,当在Intel多核处理器上测试时,与保守平铺(针对私有缓存进行平铺)相比,防御平铺在单独运行时的性能与保守平铺相似,但在程序共同运行时高出20%。
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
Defensive loop tiling for multi-core processor
Loop tiling is a compiler transformation that tailors an application's working set to fit in a cache hierarchy. On today's multicore processors, part of the hierarchy, especially the last level cache (LLC) is shared. In this paper, we show that cache sharing requires special types of tiling depending on the co-run programs. We analyze the reasons for the performance difference and give a defensive strategy that performs consistently the best or near the best. For example, when compared with conservative tiling, which tiles for private cache, the performance of defensive tiling is similar in solo-runs but up to 20% higher in program co-runs, when tested on an Intel multicore processor.
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
All-window data liveness Cache rationing for multicore Software-controlled transparent management of heterogeneous memory resources in virtualized systems Program-centric cost models for locality A study of data structures with a deep heap shape
×
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