Preparing an incompressible-flow fluid dynamics code for exascale-class wind energy simulations

Author:

Mullowney Paul1,Li Ruipeng2,Thomas Stephen1,Ananthan Shreyas1,Sharma Ashesh1,Rood Jon S.1,Williams Alan B.3,Sprague Michael A.1

Affiliation:

1. National Renewable Energy Lab

2. Lawrence Livermore National Lab

3. Sandia National Laboratories

Publisher

ACM

Reference40 articles.

1. Exascale applications: skin in the game;F. Alexander;Phil. Trans. R. Soc.A,2020

2. The Exascale Computing Project

3. Exawind: A multifidelity modeling and simulation environment for wind energy;Sprague M.A.;Journal of Physics: Conference Series,2020

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2. Digital twin of wind farms via physics-informed deep learning;Energy Conversion and Management;2023-10

3. Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms;2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2023-05

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