Hadi Zamani, Devashree Tripathy, A. Jahanshahi, Daniel Wong
{"title":"ICAP: Designing Inrush Current Aware Power Gating Switch for GPGPU","authors":"Hadi Zamani, Devashree Tripathy, A. Jahanshahi, Daniel Wong","doi":"10.1109/nas51552.2021.9605434","DOIUrl":null,"url":null,"abstract":"The leakage energy of GPGPU can be reduced by power gating the idle logic or undervolting the storage structures; however, the performance and reliability of the system degrades due to large wake up time and inrush current at time of activation. In this paper, we thoroughly analyze the realistic Break-Even Time (BET) and inrush current for various components in GPGPU architecture considering the recent design of multi-modal Power Gating Switch (PGS). Then, we introduce a new PGS which covers the current PGS drawbacks. Our redesigned PGS is carefully tailored to minimize the inrush current and BET. GPGPU-Sim simulation results for various applications, show that, with incorporating the proposed PGS into GPGPU-Sim, we can save leakage energy up to 82%, 38%, and 60% for register files, integer units, and floating units respectively.","PeriodicalId":135930,"journal":{"name":"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)","volume":"311 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/nas51552.2021.9605434","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
The leakage energy of GPGPU can be reduced by power gating the idle logic or undervolting the storage structures; however, the performance and reliability of the system degrades due to large wake up time and inrush current at time of activation. In this paper, we thoroughly analyze the realistic Break-Even Time (BET) and inrush current for various components in GPGPU architecture considering the recent design of multi-modal Power Gating Switch (PGS). Then, we introduce a new PGS which covers the current PGS drawbacks. Our redesigned PGS is carefully tailored to minimize the inrush current and BET. GPGPU-Sim simulation results for various applications, show that, with incorporating the proposed PGS into GPGPU-Sim, we can save leakage energy up to 82%, 38%, and 60% for register files, integer units, and floating units respectively.