| Article | |
| Report number | arXiv:2312.02898 |
| Title | Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release |
| Author(s) | Hageboeck, Stephan (CERN) ; Childers, Taylor (Argonne (main)) ; Hopkins, Walter (Argonne (main)) ; Mattelaer, Olivier (Cathol. U. Louvain (main)) ; Nichols, Nathan (Argonne (main)) ; Roiser, Stefan (CERN) ; Teig, Jørgen (CERN) ; Valassi, Andrea (CERN) ; Vuosalo, Carl (U. Wisconsin, Madison (main)) ; Wettersten, Zenny (CERN) |
| Publication | 2024 |
| Imprint | 2023-12-05 |
| Number of pages | 8 |
| In: | EPJ Web Conf. 295 (2024) 11013 |
| In: | 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.11013 |
| DOI | 10.1051/epjconf/202429511013 |
| Subject category | hep-ph ; Particle Physics - Phenomenology ; physics.comp-ph ; Other Fields of Physics |
| Abstract | Madgraph5_aMC@NLO is one of the most-frequently used Monte-Carlo event generators at the LHC, and an important consumer of compute resources. The software has been reengineered to maintain the overall look and feel of the user interface while speeding up event generation on CPUs and GPUs. The most computationally intensive part, the calculation of "matrix elements", is offloaded to new implementations optimised for GPUs and for CPU vector instructions, using event-level data parallelism. We present the work to support accelerated leading-order QCD processes, and discuss how this work is going to be released to Madgraph5_aMC@NLO's users. |
| Copyright/License | publication: © 2024 The Authors (License: CC-BY-4.0) preprint: (License: CC BY 4.0) |
Corresponding record in: Inspire
Record created 2024-04-18, last modified 2024-05-22