E. Acar, A. Devgan, R. Rao, Y. Liu, Haihua Su, S. Nassif, J. Burns
{"title":"Leakage and leakage sensitivity computation for combinational circuits","authors":"E. Acar, A. Devgan, R. Rao, Y. Liu, Haihua Su, S. Nassif, J. Burns","doi":"10.1145/871506.871532","DOIUrl":null,"url":null,"abstract":"Leakage power is emerging as a new critical challenge in the design of high performance integrated circuits. Leakage is increasing dramatically with each technology generation and is expected to dominate system power. This paper describes a static (i.e input independent) technique for efficient and accurate leakage estimation. A probabilistic technique is presented to compute the average leakage of combinational circuits. The proposed technique gives accurate results with an average error of only 2% for the ISCAS benchmarks and accurately predict both subthreshold and gate leakage as well as the leakage sensitivities to process and environmental parameters.","PeriodicalId":355883,"journal":{"name":"Proceedings of the 2003 International Symposium on Low Power Electronics and Design, 2003. ISLPED '03.","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2003 International Symposium on Low Power Electronics and Design, 2003. ISLPED '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/871506.871532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35
Abstract
Leakage power is emerging as a new critical challenge in the design of high performance integrated circuits. Leakage is increasing dramatically with each technology generation and is expected to dominate system power. This paper describes a static (i.e input independent) technique for efficient and accurate leakage estimation. A probabilistic technique is presented to compute the average leakage of combinational circuits. The proposed technique gives accurate results with an average error of only 2% for the ISCAS benchmarks and accurately predict both subthreshold and gate leakage as well as the leakage sensitivities to process and environmental parameters.