{"title":"多尺度模拟数据可视化:脑血流量","authors":"J. Insley, Leopold Grinberg, M. Papka","doi":"10.1145/2016741.2016761","DOIUrl":null,"url":null,"abstract":"Accurately modeling many physical and biological systems requires simulating at multiple scales. This results in large heterogeneous data sets on vastly differing scales, both physical and temporal. To address the challenges in multi-scale data analysis and visualization we have developed and successfully applied a set of tools, which we described in this paper.","PeriodicalId":257555,"journal":{"name":"TeraGrid Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Visualization of multiscale simulation data: brain blood flow\",\"authors\":\"J. Insley, Leopold Grinberg, M. Papka\",\"doi\":\"10.1145/2016741.2016761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurately modeling many physical and biological systems requires simulating at multiple scales. This results in large heterogeneous data sets on vastly differing scales, both physical and temporal. To address the challenges in multi-scale data analysis and visualization we have developed and successfully applied a set of tools, which we described in this paper.\",\"PeriodicalId\":257555,\"journal\":{\"name\":\"TeraGrid Conference\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TeraGrid Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2016741.2016761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TeraGrid Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2016741.2016761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization of multiscale simulation data: brain blood flow
Accurately modeling many physical and biological systems requires simulating at multiple scales. This results in large heterogeneous data sets on vastly differing scales, both physical and temporal. To address the challenges in multi-scale data analysis and visualization we have developed and successfully applied a set of tools, which we described in this paper.