Madgraph on GPUs and vector CPUs: Towards production. The 5-year journey to the first LO release CUDACPP v1.00.00
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.
Authors
- Olivier Mattelaer (ORCID: https://orcid.org/0000-0002-7302-7744)
- J. T. Childers (ORCID: https://orcid.org/0000-0002-0492-613X)
- Nathan Nichols (ORCID: https://orcid.org/0000-0002-7386-8893)
- A. Valassi (ORCID: https://orcid.org/0000-0001-9322-9565)
- Stephan Hageboeck (ORCID: https://orcid.org/0000-0001-9359-2196)
- Daniele Massaro (ORCID: https://orcid.org/0000-0002-1013-3953)
- Jørgen Teig
- Zenny Wettersten (ORCID: https://orcid.org/0000-0001-6099-1799)
- S. Roiser (ORCID: https://orcid.org/0000-0002-5600-8592)
- Filip Optolowicz (ORCID: https://orcid.org/0009-0001-8723-4365)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701021
- Citations
- 1
- Primary Topic
- Particle physics theoretical and experimental studies
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- CERN