{"title":"Object-oriented co-synthesis of distributed embedded systems","authors":"W. Wolf","doi":"10.1109/ASPDAC.1995.486369","DOIUrl":null,"url":null,"abstract":"This paper describes a new co-synthesis algorithm which synthesizes a distributed processing engine of arbitrary topology and the application software it executes from an object-oriented specification. Process partitioning is an especially important optimization for such systems because the specification will not in general take into account the process structure required for efficient execution on the distributed engine. Our algorithm takes advantage of the structure of the object-oriented specification to simultaneously partition, allocate, schedule, and map the required function to satisfy performance constraints and minimize costs. Experimental results show that our algorithm provides good results in reasonable CPU times.","PeriodicalId":119232,"journal":{"name":"Proceedings of ASP-DAC'95/CHDL'95/VLSI'95 with EDA Technofair","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ASP-DAC'95/CHDL'95/VLSI'95 with EDA Technofair","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.1995.486369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
This paper describes a new co-synthesis algorithm which synthesizes a distributed processing engine of arbitrary topology and the application software it executes from an object-oriented specification. Process partitioning is an especially important optimization for such systems because the specification will not in general take into account the process structure required for efficient execution on the distributed engine. Our algorithm takes advantage of the structure of the object-oriented specification to simultaneously partition, allocate, schedule, and map the required function to satisfy performance constraints and minimize costs. Experimental results show that our algorithm provides good results in reasonable CPU times.