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pro vyhledávání: '"Childs, Hank"'
Particle advection is one of the foundational algorithms for visualization and analysis and is central to understanding vector fields common to scientific simulations. Achieving efficient performance with large data in a distributed memory setting is
Externí odkaz:
http://arxiv.org/abs/2410.09710
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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DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives
Autor:
Lessley, Brenton, Perciano, Talita, Heinemann, Colleen, Camp, David, Childs, Hank, Bethel, E. Wes
We present a new parallel algorithm for probabilistic graphical model optimization. The algorithm relies on data-parallel primitives (DPPs), which provide portable performance over hardware architecture. We evaluate results on CPUs and GPUs for an im
Externí odkaz:
http://arxiv.org/abs/1809.05018
Autor:
Moreland, Kenneth, Maynard, Robert, Pugmire, David, Yenpure, Abhishek, Vacanti, Allison, Larsen, Matthew, Childs, Hank
Publikováno v:
In Parallel Computing December 2021 108
Publikováno v:
In Parallel Computing July 2021 104-105
Autor:
Reina, Guido, Childs, Hank, Matković, Krešimir, Bühler, Katja, Waldner, Manuela, Pugmire, David, Kozlíková, Barbora, Ropinski, Timo, Ljung, Patric, Itoh, Takayuki, Gröller, Eduard, Krone, Michael
Publikováno v:
In Computers & Graphics April 2020 87:12-29
Autor:
Ahern, Sean, Brugger, Eric, Whitlock, Brad, Meredith, Jeremy S., Biagas, Kathleen, Miller, Mark C., Childs, Hank
The success of the VisIt visualization system has been wholly dependent upon the culture and practices of software development that have fostered its welcome by users and embrace by developers and researchers. In the following paper, we, the founding
Externí odkaz:
http://arxiv.org/abs/1309.1796