Karthik T. Sundararajan, Timothy M. Jones, N. Topham
{"title":"A reconfigurable cache architecture for energy efficiency","authors":"Karthik T. Sundararajan, Timothy M. Jones, N. Topham","doi":"10.1145/2016604.2016616","DOIUrl":null,"url":null,"abstract":"On-chip caches often consume a significant fraction of the total processor energy budget. Allowing adaptation to the running workload can significantly lower their energy consumption. In this paper, we present a novel Set and way Management cache Architecture for efficient Run-Time reconfiguration (Smart cache), a cache architecture that allows reconfiguration in both its size and associativity. Results show the energy-delay of the Smart cache is on average 18% better than state-of-the-art reconfiguration architectures.","PeriodicalId":430420,"journal":{"name":"ACM International Conference on Computing Frontiers","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2016604.2016616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
On-chip caches often consume a significant fraction of the total processor energy budget. Allowing adaptation to the running workload can significantly lower their energy consumption. In this paper, we present a novel Set and way Management cache Architecture for efficient Run-Time reconfiguration (Smart cache), a cache architecture that allows reconfiguration in both its size and associativity. Results show the energy-delay of the Smart cache is on average 18% better than state-of-the-art reconfiguration architectures.
片上缓存通常消耗处理器总能量预算的很大一部分。允许适应正在运行的工作负载可以显著降低它们的能耗。在本文中,我们提出了一种新的用于高效运行时重构的Set and way管理缓存体系结构(智能缓存),该缓存体系结构允许在其大小和关联性上进行重构。结果表明,智能缓存的能量延迟平均比最先进的重构架构好18%。