2 papers
physics.flu-dyn2020
GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows
Pedro Costa, Everett Phillips, Luca Brandt +1
This work presents the GPU acceleration of the open-source code CaNS for very fast massively-parallel simulations of canonical fluid flows. The distinct feature of the many-CPU Nav…
cs.DC2018
Exascale Deep Learning for Climate Analytics
Thorsten Kurth, Sean Treichler, Joshua Romero +9
We extract pixel-level masks of extreme weather patterns using variants of Tiramisu and DeepLabv3+ neural networks. We describe improvements to the software frameworks, input pipel…