{"title":"The DSPL programming environment","authors":"A. Mitschele-Thiel","doi":"10.1109/PMMP.1993.315556","DOIUrl":null,"url":null,"abstract":"Gives an overview on the principle concepts employed in the DSPL (Data Stream Processing Language) programming environment, an integrated approach to automate system design and implementation of parallel applications. The programming environment consists of a programming language and the following set of integrated tools: (1) The modeling tool automatically derives a software model from the given application program. (2) The model based optimization tool uses the software model to compute such design decisions as network topology, task granularity, task assignment and task execution order. (3) Finally, the compiler/optimizer transforms the application program into executable code for the chosen processor network, reflecting the design decisions.<<ETX>>","PeriodicalId":220365,"journal":{"name":"Proceedings of Workshop on Programming Models for Massively Parallel Computers","volume":"s3-26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Workshop on Programming Models for Massively Parallel Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMMP.1993.315556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Gives an overview on the principle concepts employed in the DSPL (Data Stream Processing Language) programming environment, an integrated approach to automate system design and implementation of parallel applications. The programming environment consists of a programming language and the following set of integrated tools: (1) The modeling tool automatically derives a software model from the given application program. (2) The model based optimization tool uses the software model to compute such design decisions as network topology, task granularity, task assignment and task execution order. (3) Finally, the compiler/optimizer transforms the application program into executable code for the chosen processor network, reflecting the design decisions.<>
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