A parallel Fortran framework for neural networks and deep learning

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A parallel Fortran framework for neural networks and deep learning

18 February 2019

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Papers citing "A parallel Fortran framework for neural networks and deep learning"

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RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics Ajay Bati S. Bryngelson AI4CE 30 1 0 30 Jul 2023
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
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 98 101 0 26 Apr 2021
A Perspective on Machine Learning Methods in Turbulence Modelling Andrea Beck Marius Kurz AI4CE 83 102 0 23 Oct 2020
ParaDRAM: A Cross-Language Toolbox for Parallel High-Performance Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo Simulations A. Shahmoradi F. Bagheri 86 9 0 21 Aug 2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing J. Ott M. Pritchard Natalie Best Erik J. Linstead M. Curcic Pierre Baldi AI4CE 57 98 0 14 Apr 2020