{"title":"Fast algorithm for the extraction of a space-time window in finite volume meshes","authors":"Anton Alin-Adrian, V. Cretu","doi":"10.1109/SACI.2011.5873023","DOIUrl":null,"url":null,"abstract":"In our previous work, we introduced a method for reducing the storage requirements of large simulation results[1], [2]. The method usually requires repetitive mesh extraction for 103 − 105 time steps, making it essential that it works as fast as possible. Now we present a fast algorithm for extracting the space-time window from finite volume meshes in order to achieve practical performance. We take advantage of particular geometric properties for our extraction in order to speed-up the process. The results show that our approach is practical and can reduce computational time from days to minutes.","PeriodicalId":334381,"journal":{"name":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2011.5873023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In our previous work, we introduced a method for reducing the storage requirements of large simulation results[1], [2]. The method usually requires repetitive mesh extraction for 103 − 105 time steps, making it essential that it works as fast as possible. Now we present a fast algorithm for extracting the space-time window from finite volume meshes in order to achieve practical performance. We take advantage of particular geometric properties for our extraction in order to speed-up the process. The results show that our approach is practical and can reduce computational time from days to minutes.