{"title":"Low-energy intra-task voltage scheduling using static timing analysis","authors":"Dongkun Shin, Jihong Kim, Seongsoo Lee","doi":"10.1145/378239.378551","DOIUrl":null,"url":null,"abstract":"We propose an intra-task voltage scheduling algorithm for low-energy hard real-time applications. Based on a static timing analysis technique, the proposed algorithm controls the supply voltage within an individual task boundary. By fully exploiting all the slack times, a scheduled program by the proposed algorithm always completes its execution near the deadline, thus achieving a high energy reduction ratio. In order to validate the effectiveness of the proposed algorithm, we built a software tool that automatically converts a DVS-unaware program into an equivalent low-energy program. Experimental results show that the low-energy version of an MPFG-4 encoder/decoder (converted by the software tool) consumes less than 7-25% of the original program running on a fixed-voltage system with a power-down mode.","PeriodicalId":154316,"journal":{"name":"Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"112","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/378239.378551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 112
Abstract
We propose an intra-task voltage scheduling algorithm for low-energy hard real-time applications. Based on a static timing analysis technique, the proposed algorithm controls the supply voltage within an individual task boundary. By fully exploiting all the slack times, a scheduled program by the proposed algorithm always completes its execution near the deadline, thus achieving a high energy reduction ratio. In order to validate the effectiveness of the proposed algorithm, we built a software tool that automatically converts a DVS-unaware program into an equivalent low-energy program. Experimental results show that the low-energy version of an MPFG-4 encoder/decoder (converted by the software tool) consumes less than 7-25% of the original program running on a fixed-voltage system with a power-down mode.