{"title":"Reducing wearout in embedded processors using proactive fine-grain dynamic runtime adaptation","authors":"Fabian Oboril, M. Tahoori","doi":"10.1109/ETS.2012.6233012","DOIUrl":null,"url":null,"abstract":"With shrinking feature sizes, transistor aging becomes a reliability challenge for embedded processors. Processes such as NBTI and HCI lead to increasing gate delays and eventually reduced lifetime. Currently, to ensure functionality for a certain lifetime, safety margins are added to the design, which means overdesign and increased costs. To extend lifetime, reduce power and heat, while maintaining the required performance we propose a dynamic runtime adaptation approach, which is based on runtime monitoring of temperature, performance, power and wearout in combination with fine-grained proactive dynamic voltage and frequency scaling. The experimental results presented in this work show lifetime improvements between 63% up to 5×, while the required performance as well as power and temperature constraints are maintained.","PeriodicalId":429839,"journal":{"name":"2012 17th IEEE European Test Symposium (ETS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 17th IEEE European Test Symposium (ETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETS.2012.6233012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
With shrinking feature sizes, transistor aging becomes a reliability challenge for embedded processors. Processes such as NBTI and HCI lead to increasing gate delays and eventually reduced lifetime. Currently, to ensure functionality for a certain lifetime, safety margins are added to the design, which means overdesign and increased costs. To extend lifetime, reduce power and heat, while maintaining the required performance we propose a dynamic runtime adaptation approach, which is based on runtime monitoring of temperature, performance, power and wearout in combination with fine-grained proactive dynamic voltage and frequency scaling. The experimental results presented in this work show lifetime improvements between 63% up to 5×, while the required performance as well as power and temperature constraints are maintained.