5 papers
One-point statistics for turbulent pipe flow up to
Sergio Pirozzoli, Joshua Romero, Massimiliano Fatica +2
We study turbulent flows in a smooth straight pipe of circular cross--section up to using direct--numerical-simulation (DNS) of the Navier--Stokes equations. Th…
How we are leading a 3-XORSAT challenge: from the energy landscape to the algorithm and its efficient implementation on GPUs
M. Bernaschi, M. Bisson, M. Fatica +4
A recent 3-XORSAT challenge required to minimize a very complex and rough energy function, typical of glassy models with a random first order transition and a golf course like ener…
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…
A Performance Study of the 2D Ising Model on GPUs
Joshua Romero, Mauro Bisson, Massimiliano Fatica +1
The simulation of the two-dimensional Ising model is used as a benchmark to show the computational capabilities of Graphic Processing Units (GPUs). The rich programming environment…
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…