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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 25(2019), 9 vom: 25. Sept., Seite 2710-2724
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| Auteur principal: |
Guo, Hanqi
(Auteur) |
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| Autres auteurs: |
He, Wenbin,
Seo, Sangmin,
Shen, Han-Wei,
Constantinescu, Emil Mihai,
Liu, Chunhui,
Peterka, Tom |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2019
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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