1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2024
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics
C. F. Jekel, D. M. Sterbentz, T. M. Stitt +4
We are interested in the computational study of shock hydrodynamics, i.e. problems involving compressible solids, liquids, and gases that undergo large deformation. These problems…
cs.MS2021★ 1 cited
Matrix-free approaches for GPU acceleration of a high-order finite element hydrodynamics application using MFEM, Umpire, and RAJA
Arturo Vargas, Thomas M. Stitt, Kenneth Weiss +4
With the introduction of advanced heterogeneous computing architectures based on GPU accelerators, large-scale production codes have had to rethink their numerical algorithms and i…