低功耗芯片多处理器的I-Cache标签压缩

Long Zheng, M. Dong, Song Guo, M. Guo, Li Li
{"title":"低功耗芯片多处理器的I-Cache标签压缩","authors":"Long Zheng, M. Dong, Song Guo, M. Guo, Li Li","doi":"10.1109/ISPA.2009.85","DOIUrl":null,"url":null,"abstract":"Energy consumption is a major consideration in microprocessor optimization. This paper presents a tag-reduction based approach for energy saving in L1 I-Cache (instruction cache) of Chip Multiprocessors (CMP). To our best knowledge, this is the first work that extends the tag reduction technique to the CMP. We formulate our approach to an equivalent problem which is to find an assignment of the whole instruction pages in the physical memory to a set of cores such that the tag-reduction conflicts for each core can be mostly avoided or reduced. We then propose three algorithms using different heuristics for this assignment problem. The experimental results show that our proposed algorithms can save the total power up to 45.33% in average compared to the one that the tag-reduction is not used. They outperform significantly the tag-reduction based algorithm on single-core processor as well.","PeriodicalId":346815,"journal":{"name":"2009 IEEE International Symposium on Parallel and Distributed Processing with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"I-Cache Tag Reduction for Low Power Chip Multiprocessor\",\"authors\":\"Long Zheng, M. Dong, Song Guo, M. Guo, Li Li\",\"doi\":\"10.1109/ISPA.2009.85\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy consumption is a major consideration in microprocessor optimization. This paper presents a tag-reduction based approach for energy saving in L1 I-Cache (instruction cache) of Chip Multiprocessors (CMP). To our best knowledge, this is the first work that extends the tag reduction technique to the CMP. We formulate our approach to an equivalent problem which is to find an assignment of the whole instruction pages in the physical memory to a set of cores such that the tag-reduction conflicts for each core can be mostly avoided or reduced. We then propose three algorithms using different heuristics for this assignment problem. The experimental results show that our proposed algorithms can save the total power up to 45.33% in average compared to the one that the tag-reduction is not used. They outperform significantly the tag-reduction based algorithm on single-core processor as well.\",\"PeriodicalId\":346815,\"journal\":{\"name\":\"2009 IEEE International Symposium on Parallel and Distributed Processing with Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Symposium on Parallel and Distributed Processing with Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPA.2009.85\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Symposium on Parallel and Distributed Processing with Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2009.85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

能量消耗是微处理器优化的主要考虑因素。提出了一种基于标签缩减的芯片多处理器(CMP) L1 I-Cache(指令缓存)节能方法。据我们所知,这是第一个将标签约简技术扩展到CMP的工作。我们制定了一个等效问题的方法,即找到物理内存中整个指令页的分配给一组核心,从而可以避免或减少每个核心的标签减少冲突。然后,我们提出了三种算法,使用不同的启发式来解决这个分配问题。实验结果表明,与不使用标签约简的算法相比,我们提出的算法平均可节省45.33%的总功耗。它们的性能也明显优于单核处理器上基于标签缩减的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
I-Cache Tag Reduction for Low Power Chip Multiprocessor
Energy consumption is a major consideration in microprocessor optimization. This paper presents a tag-reduction based approach for energy saving in L1 I-Cache (instruction cache) of Chip Multiprocessors (CMP). To our best knowledge, this is the first work that extends the tag reduction technique to the CMP. We formulate our approach to an equivalent problem which is to find an assignment of the whole instruction pages in the physical memory to a set of cores such that the tag-reduction conflicts for each core can be mostly avoided or reduced. We then propose three algorithms using different heuristics for this assignment problem. The experimental results show that our proposed algorithms can save the total power up to 45.33% in average compared to the one that the tag-reduction is not used. They outperform significantly the tag-reduction based algorithm on single-core processor as well.
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
×
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