{"title":"一种将松散同步程序的性能可视化的方法","authors":"S. Sarukkai, D. Kimelman, L. Rudolph","doi":"10.1109/SHPCC.1992.232663","DOIUrl":null,"url":null,"abstract":"Introduces a new set of views for displaying the progress of loosely synchronous computations involving large numbers of processors on large problems. The authors suggest a methodology for employing these views in succession in order to gain progressively more detail concerning program behavior. At each step, focus is refined to include just those program sections or processors which have been determined to be bottlenecks. The authors present their experience in using this methodology to uncover performance problems in selected applications.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A methodology for visualizing performance of loosely synchronous programs\",\"authors\":\"S. Sarukkai, D. Kimelman, L. Rudolph\",\"doi\":\"10.1109/SHPCC.1992.232663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduces a new set of views for displaying the progress of loosely synchronous computations involving large numbers of processors on large problems. The authors suggest a methodology for employing these views in succession in order to gain progressively more detail concerning program behavior. At each step, focus is refined to include just those program sections or processors which have been determined to be bottlenecks. The authors present their experience in using this methodology to uncover performance problems in selected applications.<<ETX>>\",\"PeriodicalId\":254515,\"journal\":{\"name\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHPCC.1992.232663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHPCC.1992.232663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A methodology for visualizing performance of loosely synchronous programs
Introduces a new set of views for displaying the progress of loosely synchronous computations involving large numbers of processors on large problems. The authors suggest a methodology for employing these views in succession in order to gain progressively more detail concerning program behavior. At each step, focus is refined to include just those program sections or processors which have been determined to be bottlenecks. The authors present their experience in using this methodology to uncover performance problems in selected applications.<>
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