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pro vyhledávání: '"Yenpure, Abhishek"'
Autor:
Yenpure, Abhishek, Sane, Sudhanshu, Binyahib, Roba, Pugmire, David, Garth, Christoph, Childs, Hank
The performance of particle advection-based flow visualization techniques is complex, since computational work can vary based on many factors, including number of particles, duration, and mesh type. Further, while many approaches have been introduced
Externí odkaz:
http://arxiv.org/abs/2201.08440
Autor:
Sane, Sudhanshu, Yenpure, Abhishek, Bujack, Roxana, Larsen, Matthew, Moreland, Kenneth, Garth, Christoph, Childs, Hank
We introduce and evaluate a new algorithm for the in situ extraction of Lagrangian flow maps, which we call Boundary Termination Optimization (BTO). Our approach is a communication-free model, requiring no message passing or synchronization between p
Externí odkaz:
http://arxiv.org/abs/2004.02003
Akademický článek
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Akademický článek
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Autor:
Moreland, Kenneth, Maynard, Robert, Pugmire, David, Yenpure, Abhishek, Vacanti, Allison, Larsen, Matthew, Childs, Hank
Publikováno v:
In Parallel Computing December 2021 108
Autor:
Sane, Sudhanshu, Yenpure, Abhishek, Bujack, Roxana, Larsen, Matthew, Moreland, Kenneth, Garth, Christoph, Johnson, Chris R., Childs, Hank
In situ computation of Lagrangian flow maps to enable post hoc time-varying vector field analysis has recently become an active area of research. However, the current literature is largely limited to theoretical settings and lacks a solution to addre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e192b2467f445d29f24af380dd50ea2
We study the problem of merging three-dimensional points that are nearby or coincident. We introduce a fast, efficient approach that uses data parallel techniques for execution in various shared-memory environments. Our technique incorporates a heuri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c273b2a419dfa4a2e87130161edede9