{"title":"Coarse grain reconfiguration: Power estimation and management flow for hybrid gated systems","authors":"Tiziana Fanni, L. Raffo","doi":"10.1109/ReConFig.2016.7857160","DOIUrl":null,"url":null,"abstract":"This work presents an automatic power estimation and implementation flow for coarse-grained reconfigurable systems, capable of guiding designers towards the optimal implementation of power-efficient systems. The entire flow is assessed over the reconfigurable computing core of a dedicated image processing accelerator, targeting an ASIC 45 nm technology.","PeriodicalId":431909,"journal":{"name":"2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReConFig.2016.7857160","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
This work presents an automatic power estimation and implementation flow for coarse-grained reconfigurable systems, capable of guiding designers towards the optimal implementation of power-efficient systems. The entire flow is assessed over the reconfigurable computing core of a dedicated image processing accelerator, targeting an ASIC 45 nm technology.