{"title":"一种多核处理器动态热管理的自适应温度阈值模式","authors":"Bagher Salami, Mohammadreza Baharani, Hamid Noori","doi":"10.1109/CADS.2013.6714247","DOIUrl":null,"url":null,"abstract":"This paper presents an adaptive task migration threshold schema for dynamic thermal management of multi-core processors to minimize both average and peak temperature with very low performance overhead. Our proposed algorithm adjusts temperature threshold according to processor work-load and hardware platforms. The experimental results indicate that our technique can significantly decrease average and peak temperature compared to Linux standard scheduler, and two well-known thermal management techniques.","PeriodicalId":379673,"journal":{"name":"The 17th CSI International Symposium on Computer Architecture & Digital Systems (CADS 2013)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An adaptive temperature threshold schema for dynamic thermal management of multi-core processors\",\"authors\":\"Bagher Salami, Mohammadreza Baharani, Hamid Noori\",\"doi\":\"10.1109/CADS.2013.6714247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an adaptive task migration threshold schema for dynamic thermal management of multi-core processors to minimize both average and peak temperature with very low performance overhead. Our proposed algorithm adjusts temperature threshold according to processor work-load and hardware platforms. The experimental results indicate that our technique can significantly decrease average and peak temperature compared to Linux standard scheduler, and two well-known thermal management techniques.\",\"PeriodicalId\":379673,\"journal\":{\"name\":\"The 17th CSI International Symposium on Computer Architecture & Digital Systems (CADS 2013)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 17th CSI International Symposium on Computer Architecture & Digital Systems (CADS 2013)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CADS.2013.6714247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 17th CSI International Symposium on Computer Architecture & Digital Systems (CADS 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CADS.2013.6714247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive temperature threshold schema for dynamic thermal management of multi-core processors
This paper presents an adaptive task migration threshold schema for dynamic thermal management of multi-core processors to minimize both average and peak temperature with very low performance overhead. Our proposed algorithm adjusts temperature threshold according to processor work-load and hardware platforms. The experimental results indicate that our technique can significantly decrease average and peak temperature compared to Linux standard scheduler, and two well-known thermal management techniques.