TLB index-based tagging for cache energy reduction

Jongmin Lee, Seokin Hong, Soontae Kim
{"title":"TLB index-based tagging for cache energy reduction","authors":"Jongmin Lee, Seokin Hong, Soontae Kim","doi":"10.5555/2016802.2016828","DOIUrl":null,"url":null,"abstract":"Conventional cache tag matching is based on addresses to identify correct data in caches. However, this tagging scheme is not efficient because tag bits are unnecessarily large. From our observations, there are not many unique tag bits due to typically small working sets, which are conventionally captured by TLBs. To effectively exploit this fact, we propose TLB index-based cache tagging scheme. This new tagging scheme reduces required number of tag bits to one-fourth of the conventional tagging scheme. The reduced tag bits decrease tag bits array area by 72% and its energy consumption by 58%. From our experiments, our proposed new tagging scheme reduces instruction cache energy consumption by 13% for embedded systems.","PeriodicalId":117694,"journal":{"name":"IEEE/ACM International Symposium on Low Power Electronics and Design","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/ACM International Symposium on Low Power Electronics and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/2016802.2016828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

Conventional cache tag matching is based on addresses to identify correct data in caches. However, this tagging scheme is not efficient because tag bits are unnecessarily large. From our observations, there are not many unique tag bits due to typically small working sets, which are conventionally captured by TLBs. To effectively exploit this fact, we propose TLB index-based cache tagging scheme. This new tagging scheme reduces required number of tag bits to one-fourth of the conventional tagging scheme. The reduced tag bits decrease tag bits array area by 72% and its energy consumption by 58%. From our experiments, our proposed new tagging scheme reduces instruction cache energy consumption by 13% for embedded systems.
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
基于TLB索引的缓存能量降低标记
传统的缓存标签匹配是基于地址来识别缓存中正确的数据。然而,这种标记方案效率不高,因为标记位不必要地大。从我们的观察来看,由于通常很小的工作集(通常由tlb捕获),没有很多唯一的标签位。为了有效地利用这一事实,我们提出了基于TLB索引的缓存标记方案。这种新的标签方案将所需的标签位数减少到传统标签方案的四分之一。减少的标签位使标签位阵列面积减少72%,能耗减少58%。从我们的实验中,我们提出的新标签方案减少了13%的嵌入式系统指令缓存能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Processor caches built using multi-level spin-transfer torque RAM cells Object-based local dimming for LCD systems with LED BLUs Near-/sub-threshold DLL-based clock generator with PVT-aware locking range compensation Learning to manage combined energy supply systems An energy-efficient adaptive hybrid cache
×
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