{"paper":{"title":"An NLO-Matched Initial and Final State Parton Shower on a GPU","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"A GPU-based parton shower matches the speed and energy use of a 96-core CPU cluster for NLO Z production at the LHC.","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Michael H. Seymour, Siddharth Sule","submitted_at":"2025-11-24T19:10:28Z","abstract_excerpt":"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 GP"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"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.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The GPU and CPU implementations produce numerically equivalent physics results for the NLO-matched showers, with no hidden differences in random number generation, phase-space sampling, or matching procedure that would affect observable distributions.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"GPU port of an NLO-matched parton shower achieves performance parity with a 96-core CPU cluster for LHC Z production simulations.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A GPU-based parton shower matches the speed and energy use of a 96-core CPU cluster for NLO Z production at the LHC.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"02b80ba2001c145fd9c76bc375924aafe47893a286527b52f5300e0ce3057d97"},"source":{"id":"2511.19633","kind":"arxiv","version":3},"verdict":{"id":"8188aba6-cd3a-4fa7-9815-271992a0fb45","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-17T05:41:17.446479Z","strongest_claim":"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.","one_line_summary":"GPU port of an NLO-matched parton shower achieves performance parity with a 96-core CPU cluster for LHC Z production simulations.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The GPU and CPU implementations produce numerically equivalent physics results for the NLO-matched showers, with no hidden differences in random number generation, phase-space sampling, or matching procedure that would affect observable distributions.","pith_extraction_headline":"A GPU-based parton shower matches the speed and energy use of a 96-core CPU cluster for NLO Z production at the LHC."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2511.19633/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}