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Abhishek Yenpure
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Performance-portable particle advection with vtk-m
D Pugmire, A Yenpure, MB Kim, JM Kress, R Maynard, H Childs, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2018
302018
Parallel particle advection bake-off for scientific visualization workloads
R Binyahib, D Pugmire, A Yenpure, H Childs
2020 IEEE International Conference on Cluster Computing (CLUSTER), 381-391, 2020
92020
Minimizing development costs for efficient many-core visualization using MCD3
K Moreland, R Maynard, D Pugmire, A Yenpure, A Vacanti, M Larsen, ...
Parallel Computing 108, 102834, 2021
82021
Efficient Point Merging Using Data Parallel Techniques.
A Yenpure, H Childs, KD Moreland
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
72019
Scalable in situ computation of Lagrangian representations via local flow maps
S Sane, A Yenpure, R Bujack, M Larsen, K Moreland, C Garth, C Johnson, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2021
42021
Scalable in situ lagrangian flow map extraction: Demonstrating the viability of a communication-free model
S Sane, A Yenpure, R Bujack, M Larsen, K Moreland, C Garth, H Childs
arXiv preprint arXiv:2004.02003, 2020
22020
State‐of‐the‐Art Report on Optimizing Particle Advection Performance
A Yenpure, S Sane, R Binyahib, D Pugmire, C Garth, H Childs
Computer Graphics Forum 42 (3), 517-537, 2023
2023
A Guide to Particle Advection Performance
A Yenpure, S Sane, R Binyahib, D Pugmire, C Garth, H Childs
arXiv preprint arXiv:2201.08440, 2022
2022
General Purpose Flow Visualization at the Exascale
AD Yenpure
University of Oregon, 2022
2022
Particle Advection Workloads: Performance Characteristics and Optimizations
A Yenpure
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Articles 1–10