Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
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|
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Article Number | 04010 | |
Number of page(s) | 10 | |
Section | Monte-Carlo Transport Codes: Algorithms, HPC & GPU | |
DOI | https://doi.org/10.1051/epjconf/202430204010 | |
Published online | 15 October 2024 |
https://doi.org/10.1051/epjconf/202430204010
Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
1 Argonne National Laboratory, USA
2 Lawrence Livermore National Laboratory, USA
3 Intel Corporation, USA
4 Massachusetts Institute of Technology, USA
* e-mail: jtramm@anl.gov
Published online: 15 October 2024
OpenMC is an open source Monte Carlo neutral particle transport application that has recently been ported to GPU using the OpenMP target offloading model. We examine the performance of OpenMC at scale on the Frontier, Polaris, and Aurora supercomputers, demonstrating that performance portability has been achieved by OpenMC across all three major GPU vendors (AMD, NVIDIA, and Intel). OpenMC’s GPU performance is compared to both the traditional CPU-based version of OpenMC as well as several other state-of-the-art CPU-based Monte Carlo particle transport applications. We also provide historical context by analyzing OpenMC’s performance on several legacy GPU and CPU architectures. This work includes some of the first published results for a scientific simulation application at scale on a supercomputer featuring Intel’s Max series “Ponte Vecchio” GPUs. It is also one of the first demonstrations of a large scientific production application using the OpenMP target offloading model to achieve high performance on all three major GPU platforms.
© 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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