{"title":"In-Situ Visual Exploration of Multivariate Volume Data Based on Particle Based Volume Rendering","authors":"Takuma Kawamura, Tomoyuki Noda, Y. Idomura","doi":"10.1109/ISAV.2016.9","DOIUrl":null,"url":null,"abstract":"A novel in-situ online visualization framework is developed based on the Particle Based Volume Rendering (PBVR), which renders multivariate volume data using view-independent particle data. Our online approach enables visualization of particle data with interactive view exploration and changes of multi-dimensional transfer functions at runtime. The runtime visualization show excellent strong scaling up to thousands of cores, and its computational cost is small. These features enable flexible in-situ data exploration for monitoring extreme scale simulations. The utility of the proposed framework is demonstrated by applying it to simulations of molten debris relocation in reactor pressure vessels using the JUPITER code.","PeriodicalId":229382,"journal":{"name":"2016 Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAV.2016.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
A novel in-situ online visualization framework is developed based on the Particle Based Volume Rendering (PBVR), which renders multivariate volume data using view-independent particle data. Our online approach enables visualization of particle data with interactive view exploration and changes of multi-dimensional transfer functions at runtime. The runtime visualization show excellent strong scaling up to thousands of cores, and its computational cost is small. These features enable flexible in-situ data exploration for monitoring extreme scale simulations. The utility of the proposed framework is demonstrated by applying it to simulations of molten debris relocation in reactor pressure vessels using the JUPITER code.
提出了一种基于粒子体绘制(Particle based Volume Rendering, PBVR)的原位在线可视化框架,该框架使用与视图无关的粒子数据来绘制多变量体数据。我们的在线方法通过交互式视图探索和运行时多维传递函数的变化实现了粒子数据的可视化。运行时可视化显示出强大的扩展到数千核,并且计算成本小。这些功能可以灵活地进行现场数据探索,以监测极端尺度模拟。通过将该框架应用于利用JUPITER代码模拟反应堆压力容器中的熔融碎片迁移,证明了该框架的实用性。