| Issue |
EPJ Nuclear Sci. Technol.
Volume 10, 2024
Status and advances of Monte Carlo codes for particle transport simulation
|
|
|---|---|---|
| Article Number | 26 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/epjn/2024028 | |
| Published online | 20 December 2024 | |
https://doi.org/10.1051/epjn/2024028
Regular Article
Overview of TRIPOLI-5, a Monte Carlo code for HPC
1
Université Paris-Saclay, CEA, Service d’Etudes des Réacteurs et de Mathématiques Appliquées, 91191 Gif-sur-Yvette, France
2
CEA, DES, ISEC, DMRC, Univ. Montpellier, Marcoule, France
3
Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSN-RES/SNC/LN, F-92260 Fontenay-aux-Roses, France
4
Université Paris-Saclay, CEA, Service de Génie Logiciel pour la Simulation, 91191 Gif-sur-Yvette, France
* e-mail: andrea.zoia@cea.fr
Received:
10
June
2024
Received in final form:
27
August
2024
Accepted:
15
November
2024
Published online: 20 December 2024
CEA, IRSN and EDF have joined forces and started the development of the TRIPOLI-5® Monte Carlo particle transport code in 2022, with the goal of performing massively parallel simulations on hybrid computing architectures. TRIPOLI-5 benefits from the experience gained from previous investigations conducted on the PATMOS mini-app, concerning the portability of particle-transport algorithms in High Performance Computing environments. Currently, the main focus of TRIPOLI-5 is on reactor physics applications, including multi-physics feedback for stationary and non-stationary configurations. In the long run, TRIPOLI-5 will eventually cover a broader range of applications (encompassing radiation shielding and nuclear instrumentation) and thus supersede the current-generation Monte Carlo codes TRIPOLI-4®, developed at CEA, and MORET6, developed at IRSN. In this paper, we provide an overview of the current status of TRIPOLI-5 and highlight the trends for future developments.
© D. Mancusi et al., Published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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