190 citations · 334 across the 3 of their papers we have counts for
3 papers
cs.DC2017★ 37 cited
Enabling Massive Deep Neural Networks with the GraphBLAS
Jeremy Kepner, Manoj Kumar, José Moreira +3
Deep Neural Networks (DNNs) have emerged as a core tool for machine learning. The computations performed during DNN training and inference are dominated by operations on the weight…
physics.comp-ph2007★ 107 cited
A Comparison of Two Shallow Water Models with Non-Conforming Adaptive Grids: classical tests
Amik St-Cyr, Christiane Jablonowski, John M. Dennis +2
In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric models an interpolation-based spectral element shallow water model on a cubed-sp…
physics.flu-dyn2001★ 190 cited
On the miscible Rayleigh-Taylor instability: two and three dimensions
Y. Young, H. Tufo, A. Dubey +1
We investigate the miscible Rayleigh-Taylor (RT) instability in both 2 and 3 dimensions using direct numerical simulations, where the working fluid is assumed incompressible under…