Fengguang Song, F. Wolf, N. Bhatia, J. Dongarra, S. Moore
{"title":"用于交叉实验性能分析的代数","authors":"Fengguang Song, F. Wolf, N. Bhatia, J. Dongarra, S. Moore","doi":"10.1109/ICPP.2004.1327905","DOIUrl":null,"url":null,"abstract":"Performance tuning of parallel applications usually involves multiple experiments to compare the effects of different optimization strategies. This article describes an algebra that can be used to compare, integrate, and summarize performance data from multiple sources. The algebra consists of a data model to represent the data in a platform-independent fashion plus arithmetic operations to merge, subtract, and average the data from different experiments. A distinctive feature of this approach is its closure property, which allows processing and viewing all instances of the data model in the same way - regardless of whether they represent original or derived data - in addition to an arbitrary and easy composition of operations.","PeriodicalId":106240,"journal":{"name":"International Conference on Parallel Processing, 2004. ICPP 2004.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"60","resultStr":"{\"title\":\"An algebra for cross-experiment performance analysis\",\"authors\":\"Fengguang Song, F. Wolf, N. Bhatia, J. Dongarra, S. Moore\",\"doi\":\"10.1109/ICPP.2004.1327905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Performance tuning of parallel applications usually involves multiple experiments to compare the effects of different optimization strategies. This article describes an algebra that can be used to compare, integrate, and summarize performance data from multiple sources. The algebra consists of a data model to represent the data in a platform-independent fashion plus arithmetic operations to merge, subtract, and average the data from different experiments. A distinctive feature of this approach is its closure property, which allows processing and viewing all instances of the data model in the same way - regardless of whether they represent original or derived data - in addition to an arbitrary and easy composition of operations.\",\"PeriodicalId\":106240,\"journal\":{\"name\":\"International Conference on Parallel Processing, 2004. ICPP 2004.\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"60\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Parallel Processing, 2004. ICPP 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.2004.1327905\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Parallel Processing, 2004. ICPP 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2004.1327905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algebra for cross-experiment performance analysis
Performance tuning of parallel applications usually involves multiple experiments to compare the effects of different optimization strategies. This article describes an algebra that can be used to compare, integrate, and summarize performance data from multiple sources. The algebra consists of a data model to represent the data in a platform-independent fashion plus arithmetic operations to merge, subtract, and average the data from different experiments. A distinctive feature of this approach is its closure property, which allows processing and viewing all instances of the data model in the same way - regardless of whether they represent original or derived data - in addition to an arbitrary and easy composition of operations.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
