{"title":"Personalized In Situ Steering for Analysis and Visualization","authors":"Pascal Grosset, Jesus Pulido, J. Ahrens","doi":"10.1145/3426462.3426463","DOIUrl":null,"url":null,"abstract":"In situ analysis is now commonly used in many simulations. Prior to a simulation being run, the user specifies what in situ analysis should be run and the results of that analysis are saved to disk while the simulation is running. However, it is sometimes hard to know what analysis to run before a simulation has started, and that often results in the user saving full datasets to disk for analysis later. In this paper, we present a framework, Seer, that allows users to change, in real time, what in situ analysis to run. Moreover Seer also allows many users to each run their own in situ analysis, in a ”personalized workspace”, independent of each other. Finally Seer can be easily integrated into simulations and plays well with other in situ analysis frameworks, such as ParaView Catalyst.","PeriodicalId":320716,"journal":{"name":"ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3426462.3426463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In situ analysis is now commonly used in many simulations. Prior to a simulation being run, the user specifies what in situ analysis should be run and the results of that analysis are saved to disk while the simulation is running. However, it is sometimes hard to know what analysis to run before a simulation has started, and that often results in the user saving full datasets to disk for analysis later. In this paper, we present a framework, Seer, that allows users to change, in real time, what in situ analysis to run. Moreover Seer also allows many users to each run their own in situ analysis, in a ”personalized workspace”, independent of each other. Finally Seer can be easily integrated into simulations and plays well with other in situ analysis frameworks, such as ParaView Catalyst.