Recent developments have demonstrated the potential for high simulation speeds and reduced energy consumption by porting Monte Carlo Event Generators to GPUs. We release version 2 of the CUDA C++ parton shower event generator GAPS, which can simulate initial and final state emissions on a GPU and is capable of hard-process matching. As before, we accompany the generator with a near-identical C++ generator to run simulations on single-core and multi-core CPUs. Using these programs, we simulate NLO Z production at the LHC and demonstrate that the speed and energy consumption of an NVIDIA V100 GPU are on par with a 96-core cluster composed of two Intel Xeon Gold 5220R Processors, providing a potential alternative to cluster computing.
@article{arxiv.2511.19633,
title = {An NLO-Matched Initial and Final State Parton Shower on a GPU},
author = {Michael H. Seymour and Siddharth Sule},
journal= {arXiv preprint arXiv:2511.19633},
year = {2026}
}
Comments
32 pages, 8 figures. Minor corrections to match the published version in SciPost Physics Codebases