{"title":"基于用户标准的选择方法来探索性能与计算分析之间的关系","authors":"L. Djoudi, M. Achab","doi":"10.1109/HPCSim.2012.6266989","DOIUrl":null,"url":null,"abstract":"An automatic analysis and a quick resolution of the performance problem depends on having precise methodology to develop tool for exploring the relationship between performance and computation analysis. In this paper, we propose a strategy which allows the choice of analysis type, code level and tool used, by focusing on the hot part of code. Taking into account user criteria our system generates precise static/dynamic analysis for the selected part of code. It requires smaller computation times. It can be applied systematically without user intervention.","PeriodicalId":428764,"journal":{"name":"2012 International Conference on High Performance Computing & Simulation (HPCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Selective methodology based on user criteria to explore the relationship between performance and computation analysis\",\"authors\":\"L. Djoudi, M. Achab\",\"doi\":\"10.1109/HPCSim.2012.6266989\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An automatic analysis and a quick resolution of the performance problem depends on having precise methodology to develop tool for exploring the relationship between performance and computation analysis. In this paper, we propose a strategy which allows the choice of analysis type, code level and tool used, by focusing on the hot part of code. Taking into account user criteria our system generates precise static/dynamic analysis for the selected part of code. It requires smaller computation times. It can be applied systematically without user intervention.\",\"PeriodicalId\":428764,\"journal\":{\"name\":\"2012 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSim.2012.6266989\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2012.6266989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Selective methodology based on user criteria to explore the relationship between performance and computation analysis
An automatic analysis and a quick resolution of the performance problem depends on having precise methodology to develop tool for exploring the relationship between performance and computation analysis. In this paper, we propose a strategy which allows the choice of analysis type, code level and tool used, by focusing on the hot part of code. Taking into account user criteria our system generates precise static/dynamic analysis for the selected part of code. It requires smaller computation times. It can be applied systematically without user intervention.