Search Results for author: Massimiliano Fatica

Found 2 papers, 2 papers with code

Exascale Deep Learning for Climate Analytics

3 code implementations3 Oct 2018 Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston

The Tiramisu network scales to 5300 P100 GPUs with a sustained throughput of 21. 0 PF/s and parallel efficiency of 79. 0%.

Distributed, Parallel, and Cluster Computing

AFiD-GPU: a versatile Navier-Stokes Solver for Wall-Bounded Turbulent Flows on GPU Clusters

1 code implementation3 May 2017 Xiaojue Zhu, Everett Phillips, Vamsi Spandan, John Donners, Gregory Ruetsch, Josh Romero, Rodolfo Ostilla-Mónico, Yantao Yang, Detlef Lohse, Roberto Verzicco, Massimiliano Fatica, Richard J. A. M. Stevens

The AFiD code, an open source solver for the incompressible Navier-Stokes equations ({\color{blue}\burl{http://www. afid. eu}}), has been ported to GPU clusters to tackle large-scale wall-bounded turbulent flow simulations.

Fluid Dynamics

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