Energy-aware co-processor selection for embedded processors on FPGAs

A. H. Gholamipour, E. Bozorgzadeh, Sudarshan Banerjee
{"title":"Energy-aware co-processor selection for embedded processors on FPGAs","authors":"A. H. Gholamipour, E. Bozorgzadeh, Sudarshan Banerjee","doi":"10.1109/ICCD.2007.4601895","DOIUrl":null,"url":null,"abstract":"In this paper, we present co-processor selection problem for minimum energy consumption in hw/sw co-design on FPGAs with dual power mode. We provide theoretical analysis for the problem under no constraint, resource constraint, and timing constraint. We prove that the complexity of the problem in each case is NP-Hard and we provide a generalized ILP formulation. We compared the result of our approach in minimizing energy to the result of other approaches that had not considered both static and dynamic power during optimization and we showed that we can reduce energy by 63% in some cases.","PeriodicalId":6306,"journal":{"name":"2007 25th International Conference on Computer Design","volume":"413 1","pages":"158-163"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 25th International Conference on Computer Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2007.4601895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In this paper, we present co-processor selection problem for minimum energy consumption in hw/sw co-design on FPGAs with dual power mode. We provide theoretical analysis for the problem under no constraint, resource constraint, and timing constraint. We prove that the complexity of the problem in each case is NP-Hard and we provide a generalized ILP formulation. We compared the result of our approach in minimizing energy to the result of other approaches that had not considered both static and dynamic power during optimization and we showed that we can reduce energy by 63% in some cases.
fpga上嵌入式处理器的能量感知协处理器选择
本文针对双电源模式fpga的软硬件协同设计,提出了功耗最小的协处理器选择问题。对无约束、资源约束和时间约束下的问题进行了理论分析。我们证明了在每种情况下问题的复杂性都是NP-Hard的,并给出了一个广义的ILP公式。我们将我们的方法在最小化能量方面的结果与其他在优化过程中没有考虑静态和动态功率的方法的结果进行了比较,我们表明,在某些情况下,我们可以减少63%的能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信