{"title":"Dynamic Adaptation of Hardware-Software Scheduling for Reconfigurable System-on-Chip","authors":"Ghaffari Fakhreddine, Benoît Miramond, F. Verdier","doi":"10.1109/RSP.2008.28","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient run-time hardware/software scheduling approach. This scheduling heuristic consists in mapping on-line the different tasks of a highly dynamic application in such a way that the total execution time is minimized.Our approach takes advantage of the reconfiguration property of the considered architecture to adapt processing to the system dynamics. We compare our heuristic with another similar approach. We present the results of our scheduling method on an image processing application. Our experiments include simulation and synthesis results on a Virtex2P based platform. This results show a better performance against existing methods.","PeriodicalId":436363,"journal":{"name":"2008 The 19th IEEE/IFIP International Symposium on Rapid System Prototyping","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 The 19th IEEE/IFIP International Symposium on Rapid System Prototyping","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSP.2008.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents an efficient run-time hardware/software scheduling approach. This scheduling heuristic consists in mapping on-line the different tasks of a highly dynamic application in such a way that the total execution time is minimized.Our approach takes advantage of the reconfiguration property of the considered architecture to adapt processing to the system dynamics. We compare our heuristic with another similar approach. We present the results of our scheduling method on an image processing application. Our experiments include simulation and synthesis results on a Virtex2P based platform. This results show a better performance against existing methods.