具有深度缓存层次结构的多核处理器的位置感知缓存管理

Jongsoo Park, Richard M. Yoo, D. Khudia, C. Hughes, Daehyun Kim
{"title":"具有深度缓存层次结构的多核处理器的位置感知缓存管理","authors":"Jongsoo Park, Richard M. Yoo, D. Khudia, C. Hughes, Daehyun Kim","doi":"10.1145/2503210.2503224","DOIUrl":null,"url":null,"abstract":"As cache hierarchies become deeper and the number of cores on a chip increases, managing caches becomes more important for performance and energy. However, current hardware cache management policies do not always adapt optimally to the applications behavior: e.g., caches may be polluted by data structures whose locality cannot be captured by the caches, and producer-consumer communication incurs multiple round trips of coherence messages per cache line transferred. We propose load and store instructions that carry hints regarding into which cache(s) the accessed data should be placed. Our instructions allow software to convey locality information to the hardware, while incurring minimal hardware cost and not affecting correctness. Our instructions provide a 1.07× speedup and a 1.24× energy efficiency boost, on average, according to simulations on a 64-core system with private L1 and L2 caches. With a large shared L3 cache added, the benefits increase, providing 1.33× energy reduction on average.","PeriodicalId":371074,"journal":{"name":"2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Location-aware cache management for many-core processors with deep cache hierarchy\",\"authors\":\"Jongsoo Park, Richard M. Yoo, D. Khudia, C. Hughes, Daehyun Kim\",\"doi\":\"10.1145/2503210.2503224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As cache hierarchies become deeper and the number of cores on a chip increases, managing caches becomes more important for performance and energy. However, current hardware cache management policies do not always adapt optimally to the applications behavior: e.g., caches may be polluted by data structures whose locality cannot be captured by the caches, and producer-consumer communication incurs multiple round trips of coherence messages per cache line transferred. We propose load and store instructions that carry hints regarding into which cache(s) the accessed data should be placed. Our instructions allow software to convey locality information to the hardware, while incurring minimal hardware cost and not affecting correctness. Our instructions provide a 1.07× speedup and a 1.24× energy efficiency boost, on average, according to simulations on a 64-core system with private L1 and L2 caches. With a large shared L3 cache added, the benefits increase, providing 1.33× energy reduction on average.\",\"PeriodicalId\":371074,\"journal\":{\"name\":\"2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2503210.2503224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2503210.2503224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

随着缓存层次结构的加深和芯片上核心数量的增加,管理缓存对于性能和能源变得更加重要。然而,当前的硬件缓存管理策略并不总是最优地适应应用程序的行为:例如,缓存可能会被数据结构污染,这些数据结构的位置不能被缓存捕获,并且生产者-消费者通信导致每条缓存线传输的一致性消息多次往返。我们提出了加载和存储指令,这些指令携带有关应该将访问的数据放入哪个缓存的提示。我们的指令允许软件将位置信息传递给硬件,同时产生最小的硬件成本并且不影响正确性。根据在具有专用L1和L2缓存的64核系统上的模拟,我们的指令提供了1.07倍的加速和1.24倍的能效提升。添加了大型共享L3缓存后,好处会增加,平均可以减少1.33倍的能耗。
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
Location-aware cache management for many-core processors with deep cache hierarchy
As cache hierarchies become deeper and the number of cores on a chip increases, managing caches becomes more important for performance and energy. However, current hardware cache management policies do not always adapt optimally to the applications behavior: e.g., caches may be polluted by data structures whose locality cannot be captured by the caches, and producer-consumer communication incurs multiple round trips of coherence messages per cache line transferred. We propose load and store instructions that carry hints regarding into which cache(s) the accessed data should be placed. Our instructions allow software to convey locality information to the hardware, while incurring minimal hardware cost and not affecting correctness. Our instructions provide a 1.07× speedup and a 1.24× energy efficiency boost, on average, according to simulations on a 64-core system with private L1 and L2 caches. With a large shared L3 cache added, the benefits increase, providing 1.33× energy reduction on average.
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
Distributed-memory parallel algorithms for generating massive scale-free networks using preferential attachment model Enabling comprehensive data-driven system management for large computational facilities There goes the neighborhood: Performance degradation due to nearby jobs A distributed dynamic load balancer for iterative applications Predicting application performance using supervised learning on communication features
×
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