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Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release

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arxiv 2312.02898 v1 pith:57OUABKR submitted 2023-12-05 physics.comp-ph hep-ph

Stephan Hageboeck , Taylor Childers , Walter Hopkins , Olivier Mattelaer , Nathan Nichols , Stefan Roiser , J{o}rgen Teig , Andrea Valassi
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Carl Vuosalo Zenny Wettersten
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classification physics.comp-phhep-ph
keywords gpusmadgraph5cpuseventvectorworkacceleratedalpha
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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  1. Data-parallel leading-order event generation in MadGraph5_aMC@NLO

    hep-ph 2025-07 conditional novelty 6.0 of 10

    CUDACPP gives MadGraph data-parallel helicity amplitudes, delivering linear SIMD CPU speed-ups and up to order-of-magnitude GPU speed-ups for high-multiplicity QCD event generation.

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