R. Liem, Connor Scully-Allison, Ana Luisa Veroneze Solórzano, Kristopher Keipert, Rafael Ferreira da Silva, Suraj P. Kesavan, Tirthak Patel
{"title":"PERMAVOST'22 Discussion Panel: Domain Scientists vs. Performance Analysis Tools: Advancing in HPC","authors":"R. Liem, Connor Scully-Allison, Ana Luisa Veroneze Solórzano, Kristopher Keipert, Rafael Ferreira da Silva, Suraj P. Kesavan, Tirthak Patel","doi":"10.1145/3526063.3536197","DOIUrl":null,"url":null,"abstract":"In this panel, a team of four experts in performance analysis, parallel computing, quantum computing, and distributed systems discuss how different scientific computing fields are benefiting from performance analysis tools. The panel will discuss challenges and limitations in today's available tools from the perspective of a tools developer, domain scientist, and solutions architect. An emphasis will be placed on evaluating the performance and visualizing experiments in rising fields in Computer Science such as Machine Learning and Quantum Computing in HPC infrastructures. The panel is in the format of questions and answers sessions given by the moderator combined with interactive communication with the audience. We encourage participants to join our interactive panel discussion.","PeriodicalId":244248,"journal":{"name":"Proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3526063.3536197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this panel, a team of four experts in performance analysis, parallel computing, quantum computing, and distributed systems discuss how different scientific computing fields are benefiting from performance analysis tools. The panel will discuss challenges and limitations in today's available tools from the perspective of a tools developer, domain scientist, and solutions architect. An emphasis will be placed on evaluating the performance and visualizing experiments in rising fields in Computer Science such as Machine Learning and Quantum Computing in HPC infrastructures. The panel is in the format of questions and answers sessions given by the moderator combined with interactive communication with the audience. We encourage participants to join our interactive panel discussion.