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Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators

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arxiv 2106.06507 v2 pith:DPGBPSJ3 submitted 2021-06-11 hep-ph hep-exphysics.comp-ph

Enrico Bothmann , Walter Giele , Stefan Hoeche , Joshua Isaacson , Max Knobbe This is my paper · ORCID
classification hep-phhep-exphysics.comp-ph
keywords amplitudescomputedevelopmenteventgeneratorsgpusimplementationsmodern
verification ladder T0 review T1 audit T2 compute T3 formal
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The compute efficiency of Monte-Carlo event generators for the Large Hadron Collider is expected to become a major bottleneck for simulations in the high-luminosity phase. Aiming at the development of a full-fledged generator for modern GPUs, we study the performance of various recursive strategies to compute multi-gluon tree-level amplitudes. We investigate the scaling of the algorithms on both CPU and GPU hardware. Finally, we provide practical recommendations as well as baseline implementations for the development of future simulation programs. The GPU implementations can be found at: https://www.gitlab.com/ebothmann/blockgen-archive.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields

    hep-ph 2025-02 accept novelty 7.0 of 10

    A publicly available GPU implementation of Berends-Giele recursion computes pure gluon amplitudes in arbitrary spacetime dimensions over finite fields.

  2. 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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