| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 10 | |
| Section | Thermal-Hydraulics | |
| DOI | https://doi.org/10.1051/epjconf/202430203004 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430203004
Performances of the CFD open-source HPC platform TRUST on GPUs
Université Paris-Saclay, CEA, Service de Génie Logiciel pour la Simulation, 91191, Gif-sur-Yvette, France
* e-mail: elie.saikali@cea.fr
** e-mail: adrien.bruneton@cea.fr
*** e-mail: pierre.ledac@cea.fr
Published online: 15 October 2024
TRUST is a versatile open-source CFD tool developed by the CEA since 1993. Initially designed for nuclear applications, TRUST has evolved to tackle a range of thermohydraulic challenges, from one-phase to multiphase flows. It offers various numerical methods and supports different mesh types for efficient computation on diverse computing platforms, including high-performance computers. Recently, efforts have been made to integrate GPU computing libraries like AmgX, rocALUTION, and Kokkos aiming for a hybrid CPU/GPU code achieving better performance portability. This paper provides an overview of the TRUST platform, discusses its GPU computing strategy, and presents selected associated results.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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