{"title":"Optimal message-passing for data coherency in distributed architecture","authors":"D. Gajski, J. Peng","doi":"10.1145/581199.581206","DOIUrl":null,"url":null,"abstract":"Message-passing mechanism is commonly used to preserve data coherency in distributed systems. This paper presents an algorithm for insertion of minimal message-passing in system-level design to guarantee data coherency. The target architecture is a multi-component heterogeneous system, where some components have local memory (or they are memory components by themselves). The algorithm enables automatic insertion of message-passing during system-level design to relieve designers from tedious and error-prone manual work. The optimal solution given by the algorithm also ensures the quality of automatic insertion. Experiments show that the automatic approach achieves a productivity gain of 200X over manual refinement.","PeriodicalId":413693,"journal":{"name":"15th International Symposium on System Synthesis, 2002.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th International Symposium on System Synthesis, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/581199.581206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Message-passing mechanism is commonly used to preserve data coherency in distributed systems. This paper presents an algorithm for insertion of minimal message-passing in system-level design to guarantee data coherency. The target architecture is a multi-component heterogeneous system, where some components have local memory (or they are memory components by themselves). The algorithm enables automatic insertion of message-passing during system-level design to relieve designers from tedious and error-prone manual work. The optimal solution given by the algorithm also ensures the quality of automatic insertion. Experiments show that the automatic approach achieves a productivity gain of 200X over manual refinement.