J. Cong, Karthik Gururaj, Hui Huang, Chunyue Liu, Glenn D. Reinman, Yi Zou
{"title":"一种节能的自适应混合缓存","authors":"J. Cong, Karthik Gururaj, Hui Huang, Chunyue Liu, Glenn D. Reinman, Yi Zou","doi":"10.1109/ISLPED.2011.5993609","DOIUrl":null,"url":null,"abstract":"By reconfiguring part of the cache as software-managed scratchpad memory (SPM), hybrid caches manage to handle both unknown and predictable memory access patterns. However, existing hybrid caches provide a flexible partitioning of cache and SPM without considering adaptation to the run-time cache behavior. Previous cache set balancing techniques are either energy-inefficient or require serial tag and data array access. In this paper an adaptive hybrid cache is proposed to dynamically remap SPM blocks from high-demand cache sets to low-demand cache sets. This achieves 19%, 25%, 18% and 18% energy-runtime-production reductions over four previous representative techniques on a wide range of benchmarks.","PeriodicalId":117694,"journal":{"name":"IEEE/ACM International Symposium on Low Power Electronics and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"An energy-efficient adaptive hybrid cache\",\"authors\":\"J. Cong, Karthik Gururaj, Hui Huang, Chunyue Liu, Glenn D. Reinman, Yi Zou\",\"doi\":\"10.1109/ISLPED.2011.5993609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By reconfiguring part of the cache as software-managed scratchpad memory (SPM), hybrid caches manage to handle both unknown and predictable memory access patterns. However, existing hybrid caches provide a flexible partitioning of cache and SPM without considering adaptation to the run-time cache behavior. Previous cache set balancing techniques are either energy-inefficient or require serial tag and data array access. In this paper an adaptive hybrid cache is proposed to dynamically remap SPM blocks from high-demand cache sets to low-demand cache sets. This achieves 19%, 25%, 18% and 18% energy-runtime-production reductions over four previous representative techniques on a wide range of benchmarks.\",\"PeriodicalId\":117694,\"journal\":{\"name\":\"IEEE/ACM International Symposium on Low Power Electronics and Design\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE/ACM International Symposium on Low Power Electronics and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISLPED.2011.5993609\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/ACM International Symposium on Low Power Electronics and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISLPED.2011.5993609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
By reconfiguring part of the cache as software-managed scratchpad memory (SPM), hybrid caches manage to handle both unknown and predictable memory access patterns. However, existing hybrid caches provide a flexible partitioning of cache and SPM without considering adaptation to the run-time cache behavior. Previous cache set balancing techniques are either energy-inefficient or require serial tag and data array access. In this paper an adaptive hybrid cache is proposed to dynamically remap SPM blocks from high-demand cache sets to low-demand cache sets. This achieves 19%, 25%, 18% and 18% energy-runtime-production reductions over four previous representative techniques on a wide range of benchmarks.