{"title":"S-Check: a tool for tuning parallel programs","authors":"R. Snelick","doi":"10.1109/IPPS.1997.580861","DOIUrl":null,"url":null,"abstract":"We present a novel tool, called S-Check, for identifying performance bottlenecks in parallel and networked programs. S-Check is a highly-automated sensitivity analysis tool for programs that extends benchmarking and conventional profiling. It predicts how refinements in parts of a program are going to affect performance by making focal changes in code efficiencies and correlating these against overall program performance. This analysis is a sophisticated comparison that catches interactions arising from shared resources or communication links. S-Check's performance assessment ranks code segments \"bottleneck\" according to their sensitivity to the code efficiency changes. This rank-ordered list serves as a guide for tuning applications. In practice, S-Check code analysis yields faster parallel programs. A case study compares and contrasts sensitivity analyses of the same program on different architectures and offers solutions for performance improvement. An initial implementation of S-Check runs on Silicon Graphics multiprocessors and IBM SP machines. Particulars of the underlying methodology are only sketched with main emphasis given to details of the tool S-Check and its use.","PeriodicalId":145892,"journal":{"name":"Proceedings 11th International Parallel Processing Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 11th International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1997.580861","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
We present a novel tool, called S-Check, for identifying performance bottlenecks in parallel and networked programs. S-Check is a highly-automated sensitivity analysis tool for programs that extends benchmarking and conventional profiling. It predicts how refinements in parts of a program are going to affect performance by making focal changes in code efficiencies and correlating these against overall program performance. This analysis is a sophisticated comparison that catches interactions arising from shared resources or communication links. S-Check's performance assessment ranks code segments "bottleneck" according to their sensitivity to the code efficiency changes. This rank-ordered list serves as a guide for tuning applications. In practice, S-Check code analysis yields faster parallel programs. A case study compares and contrasts sensitivity analyses of the same program on different architectures and offers solutions for performance improvement. An initial implementation of S-Check runs on Silicon Graphics multiprocessors and IBM SP machines. Particulars of the underlying methodology are only sketched with main emphasis given to details of the tool S-Check and its use.