Overview of TRIPOLI-5, a Monte Carlo code for HPC
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 con...
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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | EPJ Nuclear Sciences & Technologies |
| Online Access: | https://www.epj-n.org/articles/epjn/full_html/2024/01/epjn20240010/epjn20240010.html |
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| Summary: | 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. |
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| ISSN: | 2491-9292 |