{"title":"优化运行时重构决策","authors":"Thilo Pionteck, Steffen Sammann, C. Albrecht","doi":"10.1109/EUC.2010.16","DOIUrl":null,"url":null,"abstract":"Partially reconfigurable hardware accelerators enable the offloading of computative intensive tasks from software to hardware at runtime. Beside handling the technical aspects, finding a proper reconfiguration point in time is of great importance for the overall system performance. Determination of a suitable point of reconfiguration demands the evaluation of performance degradation during runtime reconfiguration and expected performance benefit after reconfiguration. Three different approaches to determine a proper point of reconfiguration are discussed. Delays and weighted transitions are used to reduce the number of reconfigurations while keeping system performance at a maximum. Evaluation is done with a simulation model of a runtime reconfigurable network coprocessor. Results show that the number of reconfigurations can be reduced by about 35% for a given application scenario. By optimizing runtime reconfiguration decisions, the overall system performance is even higher than compared to pure threshold based reconfiguration decision schemes.","PeriodicalId":265175,"journal":{"name":"2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimizing Runtime Reconfiguration Decisions\",\"authors\":\"Thilo Pionteck, Steffen Sammann, C. Albrecht\",\"doi\":\"10.1109/EUC.2010.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Partially reconfigurable hardware accelerators enable the offloading of computative intensive tasks from software to hardware at runtime. Beside handling the technical aspects, finding a proper reconfiguration point in time is of great importance for the overall system performance. Determination of a suitable point of reconfiguration demands the evaluation of performance degradation during runtime reconfiguration and expected performance benefit after reconfiguration. Three different approaches to determine a proper point of reconfiguration are discussed. Delays and weighted transitions are used to reduce the number of reconfigurations while keeping system performance at a maximum. Evaluation is done with a simulation model of a runtime reconfigurable network coprocessor. Results show that the number of reconfigurations can be reduced by about 35% for a given application scenario. By optimizing runtime reconfiguration decisions, the overall system performance is even higher than compared to pure threshold based reconfiguration decision schemes.\",\"PeriodicalId\":265175,\"journal\":{\"name\":\"2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUC.2010.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUC.2010.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Partially reconfigurable hardware accelerators enable the offloading of computative intensive tasks from software to hardware at runtime. Beside handling the technical aspects, finding a proper reconfiguration point in time is of great importance for the overall system performance. Determination of a suitable point of reconfiguration demands the evaluation of performance degradation during runtime reconfiguration and expected performance benefit after reconfiguration. Three different approaches to determine a proper point of reconfiguration are discussed. Delays and weighted transitions are used to reduce the number of reconfigurations while keeping system performance at a maximum. Evaluation is done with a simulation model of a runtime reconfigurable network coprocessor. Results show that the number of reconfigurations can be reduced by about 35% for a given application scenario. By optimizing runtime reconfiguration decisions, the overall system performance is even higher than compared to pure threshold based reconfiguration decision schemes.