{"title":"Scientific visualization theatre","authors":"T. Sterling","doi":"10.1109/FMPC.1992.234874","DOIUrl":null,"url":null,"abstract":"Summary form only given. Discusses the latest in massively parallel processing (MPP) applications' results through high-resolution graphics and animation. Three themes are represented, demonstrating the relationship between massively parallel computing and scientific visualization. Results of applications computed on MPPs and visualized on graphics workstations are shown for many of the cases. Examples of result data whose image rendering are performed using parallel algorithms on MPPs are shown, and some performance measurements are given. Finally, graphics presentation of data representing the behavioral dynamics of MPPs are shown, opening the way for scientific visualization to assist in the optimization of MPP computation.<<ETX>>","PeriodicalId":117789,"journal":{"name":"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMPC.1992.234874","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
Summary form only given. Discusses the latest in massively parallel processing (MPP) applications' results through high-resolution graphics and animation. Three themes are represented, demonstrating the relationship between massively parallel computing and scientific visualization. Results of applications computed on MPPs and visualized on graphics workstations are shown for many of the cases. Examples of result data whose image rendering are performed using parallel algorithms on MPPs are shown, and some performance measurements are given. Finally, graphics presentation of data representing the behavioral dynamics of MPPs are shown, opening the way for scientific visualization to assist in the optimization of MPP computation.<>
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