Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis
We present an efficient and scalable solution to estimate uncertain transport behaviors-stochastic flow maps (SFMs)-for visualizing and analyzing uncertain unsteady flows. Computing flow maps from uncertain flow fields is extremely expensive because it requires many Monte Carlo runs to trace densely...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1998. - 25(2019), 9 vom: 25. Sept., Seite 2710-2724
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| 1. Verfasser: |
Guo, Hanqi
(VerfasserIn) |
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| Weitere Verfasser: |
He, Wenbin,
Seo, Sangmin,
Shen, Han-Wei,
Constantinescu, Emil Mihai,
Liu, Chunhui,
Peterka, Tom |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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