{"title":"An analytical solution for multi-core energy calculation with consideration of leakage and temperature dependency","authors":"Ming Fan, Vivek Chaturvedi, Shi Sha, Gang Quan","doi":"10.1109/ISLPED.2013.6629322","DOIUrl":null,"url":null,"abstract":"Energy minimization is a critical issue and challenge when considering the cyclic dependency of leakage power and temperature as IC technology reaches deep sub-micron level. In this paper, we present an analytical method to calculate the energy consumption efficiently and effectively for a given voltage schedule on a multi-core platform, with the leakage/temperature dependency taken into consideration. Our experiments show that the proposed method can achieve a speedup of 15 times compared with the numerical method, with a relative error of no more than 1.5%.","PeriodicalId":20456,"journal":{"name":"Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07)","volume":"1 1","pages":"353-358"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISLPED.2013.6629322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Energy minimization is a critical issue and challenge when considering the cyclic dependency of leakage power and temperature as IC technology reaches deep sub-micron level. In this paper, we present an analytical method to calculate the energy consumption efficiently and effectively for a given voltage schedule on a multi-core platform, with the leakage/temperature dependency taken into consideration. Our experiments show that the proposed method can achieve a speedup of 15 times compared with the numerical method, with a relative error of no more than 1.5%.