P. Panda, Sourav Roy, Srikanth Chandrasekaran, Namita Sharma, Jasleen Kaur, Sarath Kumar Kandalam, N. Nagaraj
{"title":"High level energy modeling of controller logic in data caches","authors":"P. Panda, Sourav Roy, Srikanth Chandrasekaran, Namita Sharma, Jasleen Kaur, Sarath Kumar Kandalam, N. Nagaraj","doi":"10.1145/2591513.2591590","DOIUrl":null,"url":null,"abstract":"In modern embedded processor caches, a significant amount of energy dissipation occurs in the controller logic part of the cache. Previous power/energy modeling tools have focused on the core memory part of the cache. We propose energy models for two of these modules -- Write Buffer and Replacement logic. Since this hardware is generally synthesized by designers, our power models are also based on empirical data. We found a linear dependence of the per-access write buffer energy on the write buffer depth and write width. We validated our models on several different benchmark examples, using different technology nodes. Our models generate energy estimates that are within 4.2% of those measured by detailed power simulations, making the models valuable mechanisms for rapid energy estimates during architecture exploration.","PeriodicalId":272619,"journal":{"name":"ACM Great Lakes Symposium on VLSI","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Great Lakes Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2591513.2591590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In modern embedded processor caches, a significant amount of energy dissipation occurs in the controller logic part of the cache. Previous power/energy modeling tools have focused on the core memory part of the cache. We propose energy models for two of these modules -- Write Buffer and Replacement logic. Since this hardware is generally synthesized by designers, our power models are also based on empirical data. We found a linear dependence of the per-access write buffer energy on the write buffer depth and write width. We validated our models on several different benchmark examples, using different technology nodes. Our models generate energy estimates that are within 4.2% of those measured by detailed power simulations, making the models valuable mechanisms for rapid energy estimates during architecture exploration.