H. Homayoun, Avesta Sasan, Aseem Gupta, A. Veidenbaum, F. Kurdahi, N. Dutt
{"title":"Multiple sleep modes leakage control in peripheral circuits of a all major SRAM-based processor units","authors":"H. Homayoun, Avesta Sasan, Aseem Gupta, A. Veidenbaum, F. Kurdahi, N. Dutt","doi":"10.1145/1787275.1787339","DOIUrl":null,"url":null,"abstract":"Leakage currents in on-chip SRAMs: caches, branch predictor, register files and TLBs, are major contributors to the energy dissipated by processors in deep sub-micron technologies. High leakage also increases chip temperature and some SRAM-based structures become thermal hotspots. Previous work has addressed major sources of SRAM leakage in memory cells and bit-lines, making remaining SRAM components, in particular large drivers, the primary source of leakage. This paper proposes an approach to reduce this source of leakage in all major SRAM-based units of the processor, controlling them in a uniform way, yet treating each unit individually based on its behavior and memory organization. The new approach uses multiple bias voltages in sleep transistors allowing a trade-off between leakage reduction and wakeup delay in multi-stage peripheral drivers. Four low-power modes are defined, from basic to ultra low power, and SRAMs dynamically transition between these modes to minimize leakage without sacrificing performance. A novel control mechanism monitors and predicts future processor behavior for mode control. The leakage reduction in individual units is evaluated and shown to vary from 25% for IL1 to 75% for L2 caches. Resulting temperature reduction, including the effect of positive feedback between temperature and leakage power, is evaluated. A significant temperature reduction is achieved in each unit. It is also shown to reduce hot spots in the instruction TLB and branch predictor.","PeriodicalId":151791,"journal":{"name":"Proceedings of the 7th ACM international conference on Computing frontiers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th ACM international conference on Computing frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1787275.1787339","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
Leakage currents in on-chip SRAMs: caches, branch predictor, register files and TLBs, are major contributors to the energy dissipated by processors in deep sub-micron technologies. High leakage also increases chip temperature and some SRAM-based structures become thermal hotspots. Previous work has addressed major sources of SRAM leakage in memory cells and bit-lines, making remaining SRAM components, in particular large drivers, the primary source of leakage. This paper proposes an approach to reduce this source of leakage in all major SRAM-based units of the processor, controlling them in a uniform way, yet treating each unit individually based on its behavior and memory organization. The new approach uses multiple bias voltages in sleep transistors allowing a trade-off between leakage reduction and wakeup delay in multi-stage peripheral drivers. Four low-power modes are defined, from basic to ultra low power, and SRAMs dynamically transition between these modes to minimize leakage without sacrificing performance. A novel control mechanism monitors and predicts future processor behavior for mode control. The leakage reduction in individual units is evaluated and shown to vary from 25% for IL1 to 75% for L2 caches. Resulting temperature reduction, including the effect of positive feedback between temperature and leakage power, is evaluated. A significant temperature reduction is achieved in each unit. It is also shown to reduce hot spots in the instruction TLB and branch predictor.