{"title":"New power-aware placement for region-based FPGA architecture combined with dynamic power gating by PCHM","authors":"Ce Li, Yiping Dong, Takahiro Watanabe","doi":"10.1109/ISLPED.2011.5993640","DOIUrl":null,"url":null,"abstract":"The power consumption of FPGA is larger than that of ASIC to perform the same function in the same scaling. In this paper, we propose a Power Control Hard Macro (PCHM) based coarse-grained power gating FPGA architecture to dynamically reduce the power consumption. The algorithm of the placement based on sleep region is presented. After enhancing the CAD framework, a detailed study is given under different region size supported by the new FPGA architecture. As a result, the proposed architecture and the placement algorithm can reduce 51% power consumption on average compared with normal architecture.","PeriodicalId":117694,"journal":{"name":"IEEE/ACM International Symposium on Low Power Electronics and Design","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/ACM International Symposium on Low Power Electronics and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISLPED.2011.5993640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The power consumption of FPGA is larger than that of ASIC to perform the same function in the same scaling. In this paper, we propose a Power Control Hard Macro (PCHM) based coarse-grained power gating FPGA architecture to dynamically reduce the power consumption. The algorithm of the placement based on sleep region is presented. After enhancing the CAD framework, a detailed study is given under different region size supported by the new FPGA architecture. As a result, the proposed architecture and the placement algorithm can reduce 51% power consumption on average compared with normal architecture.