Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling

13 April 2021

Papers citing "Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling"

5 / 5 papers shown

Title
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations Marius Kurz Philipp Offenhäuser Andrea Beck AI4CE 82 59 0 21 Jun 2022
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems Marius Kurz Philipp Offenhäuser Dominic Viola Oleksandr Shcherbakov Michael M. Resch Andrea Beck AI4CE 88 22 0 13 May 2022
Productive Performance Engineering for Weather and Climate Modeling with Python Tal Ben-Nun Linus Groner Florian Deconinck Tobias Wicky Eddie Davis ... Lukas Trumper E. Wu O. Fuhrer T. Schulthess Torsten Hoefler 62 17 0 09 May 2022
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing Logan T. Ward Ganesh Sivaraman J. G. Pauloski Y. Babuji Ryan Chard ... R. Assary Kyle Chard L. Curtiss R. Thakur Ian Foster 59 40 0 06 Oct 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 94 101 0 26 Apr 2021