{"title":"autooperf:对性能实验的工作流支持","authors":"Xiaoguang Dai, B. Norris, A. Malony","doi":"10.1145/2693561.2693569","DOIUrl":null,"url":null,"abstract":"Many excellent open-source and commercial tools enable the detailed measurement of the performance attributes of applications. However, the process of collecting measurement data and analyzing it remains effort-intensive because of differences in tool interfaces and architectures. Furthermore, insufficient standards and automation may result in losing information about experiments, which may in turn lead to misinterpretation of the data and analysis results. Autoperf aims to support the entire workflow in performance measurement and analysis in a uniform and portable fashion, enabling both better productivity through automation of data collection and analysis and experiment reproducibility.","PeriodicalId":235512,"journal":{"name":"Workshop on Software and Performance","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Autoperf: Workflow Support for Performance Experiments\",\"authors\":\"Xiaoguang Dai, B. Norris, A. Malony\",\"doi\":\"10.1145/2693561.2693569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many excellent open-source and commercial tools enable the detailed measurement of the performance attributes of applications. However, the process of collecting measurement data and analyzing it remains effort-intensive because of differences in tool interfaces and architectures. Furthermore, insufficient standards and automation may result in losing information about experiments, which may in turn lead to misinterpretation of the data and analysis results. Autoperf aims to support the entire workflow in performance measurement and analysis in a uniform and portable fashion, enabling both better productivity through automation of data collection and analysis and experiment reproducibility.\",\"PeriodicalId\":235512,\"journal\":{\"name\":\"Workshop on Software and Performance\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Software and Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2693561.2693569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Software and Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2693561.2693569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Autoperf: Workflow Support for Performance Experiments
Many excellent open-source and commercial tools enable the detailed measurement of the performance attributes of applications. However, the process of collecting measurement data and analyzing it remains effort-intensive because of differences in tool interfaces and architectures. Furthermore, insufficient standards and automation may result in losing information about experiments, which may in turn lead to misinterpretation of the data and analysis results. Autoperf aims to support the entire workflow in performance measurement and analysis in a uniform and portable fashion, enabling both better productivity through automation of data collection and analysis and experiment reproducibility.