{"title":"Analyzing performance of sequencing mechanisms for simple layered task systems","authors":"A. Tayyab, J. G. Kuhl","doi":"10.1109/IPPS.1992.223051","DOIUrl":null,"url":null,"abstract":"Considers the problem of sequencing a set of parallel activities in the presence of nonzero overheads. Mechanisms for sequence control may range from explicit inter-task synchronization to more restrictive mechanisms such as blocking barriers. It is highly desirable to be able to base the choice of a sequence control mechanism for a parallel algorithm upon specific characteristics of the algorithm's structure and the underlying architecture. The paper presents approximate models for simple layered task systems that can predict overall performance and provide a useful understanding of key performance parameters and tradeoffs. The analytic results are compared with simulation to demonstrate their accuracy. Some simple applications of the model are presented that demonstrate non-intuitive behavior of layered graphs with inter-task versus barrier-based sequencing.<<ETX>>","PeriodicalId":340070,"journal":{"name":"Proceedings Sixth International Parallel Processing Symposium","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1992.223051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Considers the problem of sequencing a set of parallel activities in the presence of nonzero overheads. Mechanisms for sequence control may range from explicit inter-task synchronization to more restrictive mechanisms such as blocking barriers. It is highly desirable to be able to base the choice of a sequence control mechanism for a parallel algorithm upon specific characteristics of the algorithm's structure and the underlying architecture. The paper presents approximate models for simple layered task systems that can predict overall performance and provide a useful understanding of key performance parameters and tradeoffs. The analytic results are compared with simulation to demonstrate their accuracy. Some simple applications of the model are presented that demonstrate non-intuitive behavior of layered graphs with inter-task versus barrier-based sequencing.<>