{"title":"基于SoC的EHW系统的进化电源管理算法","authors":"L. Tian, T. Arslan","doi":"10.1109/EH.2003.1217656","DOIUrl":null,"url":null,"abstract":"This paper proposes a dynamic power management algorithm based on an evolutionary algorithm for minimization of power on a system on chip (SoC) evolvable hardware (EHW) systems. The algorithm is specially designed to operate within an embedded microcontroller processor such as the ARM. The paper describes the algorithm, its implementation on an ARM based embedded processor and provides results demonstrating power consumption of the algorithm itself using different ARM instruction sets.","PeriodicalId":134823,"journal":{"name":"NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An evolutionary power management algorithm for SoC based EHW systems\",\"authors\":\"L. Tian, T. Arslan\",\"doi\":\"10.1109/EH.2003.1217656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a dynamic power management algorithm based on an evolutionary algorithm for minimization of power on a system on chip (SoC) evolvable hardware (EHW) systems. The algorithm is specially designed to operate within an embedded microcontroller processor such as the ARM. The paper describes the algorithm, its implementation on an ARM based embedded processor and provides results demonstrating power consumption of the algorithm itself using different ARM instruction sets.\",\"PeriodicalId\":134823,\"journal\":{\"name\":\"NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings.\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EH.2003.1217656\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EH.2003.1217656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An evolutionary power management algorithm for SoC based EHW systems
This paper proposes a dynamic power management algorithm based on an evolutionary algorithm for minimization of power on a system on chip (SoC) evolvable hardware (EHW) systems. The algorithm is specially designed to operate within an embedded microcontroller processor such as the ARM. The paper describes the algorithm, its implementation on an ARM based embedded processor and provides results demonstrating power consumption of the algorithm itself using different ARM instruction sets.