K. Zhao, Jinian Bian, Chenqian Jiang, Sheqin Dong, S. Goto
{"title":"Power reduction through specific instruction scheduling based on Hardware/Software Co-Design","authors":"K. Zhao, Jinian Bian, Chenqian Jiang, Sheqin Dong, S. Goto","doi":"10.1109/ICASIC.2007.4415600","DOIUrl":null,"url":null,"abstract":"In this paper, an instruction-level power reduction model for the low power system-on-a-chip is proposed, which combines the hardware and software design together. Firstly, to reduce the power consumption via hardware design, this model is equipped with a specific instruction extraction process, which utilizes a sub-graph matching algorithm. Then a scheduling algorithm is integrated in this model to achieve power compression via reducing the memory access number. Finally, a set of Fir filter programs are power-driven optimized using the proposed model based on hardware/software co-design strategy, and the experimental results indicate that this model can reduce the power consumption effectively.","PeriodicalId":120984,"journal":{"name":"2007 7th International Conference on ASIC","volume":"200 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 7th International Conference on ASIC","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASIC.2007.4415600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, an instruction-level power reduction model for the low power system-on-a-chip is proposed, which combines the hardware and software design together. Firstly, to reduce the power consumption via hardware design, this model is equipped with a specific instruction extraction process, which utilizes a sub-graph matching algorithm. Then a scheduling algorithm is integrated in this model to achieve power compression via reducing the memory access number. Finally, a set of Fir filter programs are power-driven optimized using the proposed model based on hardware/software co-design strategy, and the experimental results indicate that this model can reduce the power consumption effectively.