MadGraph Event Generator on GPUs

Resources

• MadGraph Github repository
• cudacpp plugin GitHub repository

Plan for the hackaton

• MadGraph introduction;
• Getting familiar with MadGraph:
  • how to install;
  • first event generation;
  • change the configuration;
  • install and link additional tools (e.g. Pythia);
  • AOB and any suggestions welcome.
• The cudacpp plugin, a.k.a. running MadGraph on GPU/vectorized CPU:
  • the MadGraph plugin system and how to install;
  • details on hardware acceleration in MadGraph;
  • perform a MadGraph run using cudacpp plugin;
  • various possible settings.
• Finding bottlenecks in the code:
  • profile MadGraph;
  • using Adaptyst to obtain flamegraphs;
  • discuss future updates.

References

• Alwall, J., Frederix, R., Frixione, S., Hirschi, V., Maltoni, F., Mattelaer, O., Shao, H. S., Stelzer, T., Torrielli, P., Zaro, M. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations. arXiv:1405.0301. DOI: 10.1007/JHEP07(2014)079. Published in: JHEP 07 (2014), 079.
• Alwall, J., Herquet, M., Maltoni, F., Mattelaer, O., Stelzer, T. MadGraph 5: Going Beyond. arXiv:1106.0522. DOI: 10.1007/JHEP06(2011)128. Published in: JHEP 06 (2011), 128.
• Valassi, A., Childers, T., Hageboeck, S., Massaro, D., Mattelaer, O., Nichols, N., Optolowicz, F., Roiser, S., Teig, J., Wettersten, Z. Madgraph on GPUs and vector CPUs: towards production (The 5-year journey to the first LO release CUDACPP v1.00.00). arXiv:2503.21935. Contribution to CHEP 2024.