| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701021 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701021
Madgraph on GPUs and vector CPUs: Towards production. The 5-year journey to the first LO release CUDACPP v1.00.00
1 CERN, Geneva, Switzerland
2 Argonne National Laboratory, USA
3 Université Catholique de Louvain, Belgium
* e-mail: andrea.valassi@cern.ch
Published online: 7 October 2025
The effort to speed up the Madgraph5_aMC@NLO generator by exploiting CPU vectorization and GPUs, which started at the beginning of 2020, has delivered the first production release of the code for leading-order (LO) processes in October 2024. To achieve this goal, many new features, tests and fixes have been implemented in recent months. This process benefitted also from the early feedback of the CMS experiment. In this contribution, we report on these activities and on the status of the LO software at the time of CHEP2024.
© The Authors, published by EDP Sciences, 2025
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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