粗粒重构:混合门控系统的功率估计和管理流程

2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig) Pub Date : 2016-11-01 DOI:10.1109/ReConFig.2016.7857160

Tiziana Fanni, L. Raffo

{"title":"粗粒重构:混合门控系统的功率估计和管理流程","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":"{\"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}","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

摘要

这项工作提出了一种粗粒度可重构系统的自动功率估计和实现流程，能够指导设计人员实现节能系统的最佳实现。整个流程是在专用图像处理加速器的可重构计算核心上进行评估的，目标是ASIC 45纳米技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Coarse grain reconfiguration: Power estimation and management flow for hybrid gated systems

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig)

自引率

0.00%

发文量