Accelerating detector simulations with Celeritas: profiling and performance optimizations

Research output: Contribution to journalConference articlepeer-review

Abstract

Celeritas is a GPU-optimized Monte Carlo (MC) particle transport code designed to meet the growing computational demands of next-generation high energy physics (HEP) experiments. It provides efficient simulation of electromagnetic (EM) physics processes in complex geometries with magnetic fields, detector hit scoring, and seamless integration into Geant4-driven applications to offload EM physics to GPUs. Recent efforts have focused on performance optimizations and expanding profiling capabilities. This paper presents some key advancements, including the integration of the Perfetto system profiling tool for detailed performance analysis and the development of track-sorting methods to improve computational efficiency.

Original languageEnglish
Article number01292
JournalEPJ Web of Conferences
Volume337
DOIs
StatePublished - Oct 7 2025
Event27th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2024 - Krakow, Poland
Duration: Oct 19 2024Oct 25 2024

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of High Energy Physics, Scientific Discovery through Advanced Computing (SciDAC) program. Work for this paper was supported by Oak Ridge National Laboratory (ORNL), which is managed and operated by UT-Battelle, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC05-00OR22725 and by Fermi National Accelerator Laboratory, managed and operated by Fermi Forward Discovery Group, LLC under Contract No. 89243024CSC000002 with the U.S. Department of Energy. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02- 05CH11231 using NERSC award HEP-ERCAP-0023868.

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