{"title":"Graph based communication analysis for hardware/software codesign","authors":"P. Knudsen, J. Madsen","doi":"10.1145/301177.301508","DOIUrl":null,"url":null,"abstract":"In this paper we present a coarse grain CDFG (Control/Data Flow Graph) model suitable for hardware/software partitioning of single processes and demonstrate how it is necessary to perform various transformations on the graph structure before partitioning in order to achieve a structure that allows for accurate estimation of communication overhead between nodes mapped to different processors. In particular, we demonstrate how various transformations of control structures can lead to a more accurate communication analysis and more efficient implementations. The purpose of the transformations is to obtain a CDFG structure that is sufficiently fine grained as to support a correct communication analysis but not more fine grained than necessary as this will increase partitioning and analysis time.","PeriodicalId":344739,"journal":{"name":"Proceedings of the Seventh International Workshop on Hardware/Software Codesign (CODES'99) (IEEE Cat. No.99TH8450)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh International Workshop on Hardware/Software Codesign (CODES'99) (IEEE Cat. No.99TH8450)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/301177.301508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In this paper we present a coarse grain CDFG (Control/Data Flow Graph) model suitable for hardware/software partitioning of single processes and demonstrate how it is necessary to perform various transformations on the graph structure before partitioning in order to achieve a structure that allows for accurate estimation of communication overhead between nodes mapped to different processors. In particular, we demonstrate how various transformations of control structures can lead to a more accurate communication analysis and more efficient implementations. The purpose of the transformations is to obtain a CDFG structure that is sufficiently fine grained as to support a correct communication analysis but not more fine grained than necessary as this will increase partitioning and analysis time.