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UID:submissions.pasc-conference.org_PASC24_sess118_msa227@linklings.com
SUMMARY:Celeritas: Accelerating HEP Detector Simulation on GPUs
DESCRIPTION:Minisymposium\n\nAmanda Lund (Argonne National Laboratory)\n\n
 Celeritas is a new Monte Carlo (MC) detector simulation code designed to h
 elp meet the increasing computational demands of high energy physics (HEP)
  experiments by leveraging accelerator-based HPC architectures. The upcomi
 ng high luminosity upgrade of the Large Hadron Collider (LHC) and its four
  main detectors will increase the volume and complexity of the data of the
  future particle physics experiments by an order of magnitude. This will i
 n turn require a proportional increase in computational capacity for much 
 of the software that these experiments rely on, including detector simulat
 ions. Celeritas is designed to meet this challenge by leveraging the new g
 eneration of heterogeneous computing architectures to perform full-fidelit
 y MC simulations of LHC detectors. This includes full electromagnetic (EM)
  physics in complex geometries in the presence of a magnetic field, with a
 n interface that enables straightforward integration with existing Geant4 
 applications. This talk will provide an overview of current Celeritas capa
 bilities, focusing in particular on the strategy for integration with expe
 rimental HEP computing workflows, and early performance results on DOE's L
 eadership Computing Facilities (LCFs).\n\nDomain: Engineering, Physics, Co
 mputational Methods and Applied Mathematics\n\nSession Chair: Katherine Ro
 yston (Oak Ridge National Laboratory)
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