Masayuki Sato, Shin Nishimura, Ryusuke Egawa, H. Takizawa, Hiroaki Kobayashi
{"title":"A cache partitioning mechanism to protect shared data for CMPs","authors":"Masayuki Sato, Shin Nishimura, Ryusuke Egawa, H. Takizawa, Hiroaki Kobayashi","doi":"10.1109/CoolChips.2016.7503674","DOIUrl":null,"url":null,"abstract":"The last-level cache (LLC) of a modern chip-multiprocessor (CMP) keeps two kinds of data: shared data accessed by multiple cores and private data accessed by only one core. Although the former are likely to have a larger performance impact than the latter, the LLC manages both of those data in the same fashion. To realize a highly efficient execution on a CMP, this paper proposes a cache partitioning mechanism to protect shared data from excessive eviction. The evaluation results show that the proposed mechanism improves the performance by up to 76% and by 8% on average at a cost of less than 2% of the LLC hardware.","PeriodicalId":273992,"journal":{"name":"2016 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS XIX)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS XIX)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoolChips.2016.7503674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The last-level cache (LLC) of a modern chip-multiprocessor (CMP) keeps two kinds of data: shared data accessed by multiple cores and private data accessed by only one core. Although the former are likely to have a larger performance impact than the latter, the LLC manages both of those data in the same fashion. To realize a highly efficient execution on a CMP, this paper proposes a cache partitioning mechanism to protect shared data from excessive eviction. The evaluation results show that the proposed mechanism improves the performance by up to 76% and by 8% on average at a cost of less than 2% of the LLC hardware.