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pro vyhledávání: '"Delmas, Vincent"'
Autor:
Delmas, Vincent, Soulaïmani, Azzeddine
The resolution of the Shallow-water equations is of practical interest in the study of inundations and often requires very large and dense meshes to accurately simulate river flows. Those large meshes are often decomposed into multiple sub-domains to
Externí odkaz:
http://arxiv.org/abs/2307.16758
Autor:
Delmas, Vincent, Soulaïmani, Azzedine
This paper shows the development of a multi-GPU version of a time-explicit finite volume solver for the Shallow-Water Equations (SWE) on a multi-GPU architecture. MPI is combined with CUDA-Fortran in order to use as many GPUs as needed. The METIS lib
Externí odkaz:
http://arxiv.org/abs/2010.14416
Deep Learning research is advancing at a fantastic rate, and there is much to gain from transferring this knowledge to older fields like Computational Fluid Dynamics in practical engineering contexts. This work compares state-of-the-art methods that
Externí odkaz:
http://arxiv.org/abs/2005.13506
Autor:
Delmas, Vincent, Soulaïmani, Azzeddine
Publikováno v:
In Journal of Computational Physics 15 December 2022 471
Autor:
Delmas, Vincent, Soulaïmani, Azzedine
Publikováno v:
In Computer Physics Communications February 2022 271
Akademický článek
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Publikováno v:
In Journal of Computational Physics 1 January 2021 424
Autor:
Zorzal, Ezequiel R., Sousa, Maurício, Mendes, Daniel, dos Anjos, Rafael Kuffner, Medeiros, Daniel, Paulo, Soraia Figueiredo, Rodrigues, Pedro, Mendes, José João, Delmas, Vincent, Uhl, Jean-Francois, Mogorrón, José, Jorge, Joaquim Armando, Lopes, Daniel Simões
Publikováno v:
In Computers & Graphics December 2019 85:74-84