https://doi.org/10.1051/epjconf/202430202009
Efficient sweep kernels on shared-memory architectures for the discrete ordinates neutron transport equation on Cartesian and hexagonal geometries
1 Université Paris-Saclay, CEA, Service d’Études des Réacteurs et de Mathématiques Appliquées, F-91191, Gif-sur-Yvette, France
2 Université Paris-Saclay, CEA, Service de Génie Logiciel pour la Simulation, F-91191, Gif-sur-Yvette, France
3 CEA, DES, IRESNE, DTN, Cadarache, F-13108 Saint-Paul-Lez-Durance, France
4 INRIA / AVALON / LIP - ENS Lyon
* e-mail: gabriel.suau@cea.fr
Published online: 15 October 2024
This paper describes the implementation of DONUT, a small multi-group SN-DG transport solver that aims at providing efficient and portable sweep kernels on shared-memory architectures for Cartesian and hexagonal geometries. DONUT heavily relies on the Kokkos C++ library for portability and genericity. First encouraging performance results are presented for multicore CPU architectures.
© 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.
