{"title":"LowLEAC: Low Leakage Energy Architecture for Caches","authors":"Rashmi Girmal, Arun Kumar Somani","doi":"10.1109/DESEC.2017.8073849","DOIUrl":null,"url":null,"abstract":"With the ever-decreasing feature sizes, static power dissipation has become a concern in computing devices. On-chip memories are a major contributor towards the processor's leakage power dissipation due to their large transistor count. We propose a Low Leakage Energy Architecture for Caches, called LowLEAC to minimize the static power dissipation in caches made of CMOS SRAM cells. This technique is based on keeping only k most recently used cache lines powered on other lines powered off to reduce the leakage power dissipation. The control However increases the dynamic power due to re-fetching of data. To overcome that, we deploy CMOS compatible non-volatile SRAM cell, called cNVSRAM, to implement caches. The cNVSRAM cell works as a conventional SRAM in the regular mode and saves the data in a non-volatile back up when a cache line is turned off or put in the sleep mode. The non-volatile back up mode helps improve the dependability of the cache and avoids the penalty occurred due to loss of data from the inactive cache lines. With a small area penalty, LowLEAC achieves 18% energy savings with insignificant impact on the performance. LowLEAC is a suitable architecture for cache memory in mobile computing devices to minimize battery power consumption and reduce heat.","PeriodicalId":92346,"journal":{"name":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","volume":"45 1","pages":"288-295"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DESEC.2017.8073849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the ever-decreasing feature sizes, static power dissipation has become a concern in computing devices. On-chip memories are a major contributor towards the processor's leakage power dissipation due to their large transistor count. We propose a Low Leakage Energy Architecture for Caches, called LowLEAC to minimize the static power dissipation in caches made of CMOS SRAM cells. This technique is based on keeping only k most recently used cache lines powered on other lines powered off to reduce the leakage power dissipation. The control However increases the dynamic power due to re-fetching of data. To overcome that, we deploy CMOS compatible non-volatile SRAM cell, called cNVSRAM, to implement caches. The cNVSRAM cell works as a conventional SRAM in the regular mode and saves the data in a non-volatile back up when a cache line is turned off or put in the sleep mode. The non-volatile back up mode helps improve the dependability of the cache and avoids the penalty occurred due to loss of data from the inactive cache lines. With a small area penalty, LowLEAC achieves 18% energy savings with insignificant impact on the performance. LowLEAC is a suitable architecture for cache memory in mobile computing devices to minimize battery power consumption and reduce heat.