{"title":"利用动态相位距离映射实现嵌入式系统的相位调优","authors":"Tosiron Adegbija, A. Gordon-Ross","doi":"10.1109/ICCD.2013.6657066","DOIUrl":null,"url":null,"abstract":"Phase-based tuning increases optimization potential by configuring system parameters for application execution phases. Previous work proposed phase distance mapping (PDM), which relied on extensive a priori analysis of executing applications to dynamically estimate the best configuration using the correlation between phases. We propose DynaPDM, a new dynamic phase distance mapping methodology that eliminates a priori designer effort, dynamically analyzes phases, and determines the best configurations, yielding average energy delay product savings of 28%-an 8% improvement on PDM-and configurations within 1% of the optimal.","PeriodicalId":398811,"journal":{"name":"2013 IEEE 31st International Conference on Computer Design (ICCD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Exploiting dynamic phase distance mapping for phase-based tuning of embedded systems\",\"authors\":\"Tosiron Adegbija, A. Gordon-Ross\",\"doi\":\"10.1109/ICCD.2013.6657066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Phase-based tuning increases optimization potential by configuring system parameters for application execution phases. Previous work proposed phase distance mapping (PDM), which relied on extensive a priori analysis of executing applications to dynamically estimate the best configuration using the correlation between phases. We propose DynaPDM, a new dynamic phase distance mapping methodology that eliminates a priori designer effort, dynamically analyzes phases, and determines the best configurations, yielding average energy delay product savings of 28%-an 8% improvement on PDM-and configurations within 1% of the optimal.\",\"PeriodicalId\":398811,\"journal\":{\"name\":\"2013 IEEE 31st International Conference on Computer Design (ICCD)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 31st International Conference on Computer Design (ICCD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCD.2013.6657066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 31st International Conference on Computer Design (ICCD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2013.6657066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploiting dynamic phase distance mapping for phase-based tuning of embedded systems
Phase-based tuning increases optimization potential by configuring system parameters for application execution phases. Previous work proposed phase distance mapping (PDM), which relied on extensive a priori analysis of executing applications to dynamically estimate the best configuration using the correlation between phases. We propose DynaPDM, a new dynamic phase distance mapping methodology that eliminates a priori designer effort, dynamically analyzes phases, and determines the best configurations, yielding average energy delay product savings of 28%-an 8% improvement on PDM-and configurations within 1% of the optimal.