Minisymposium Presentation
Celeritas: Accelerating HEP Detector Simulation on GPUs
Description
Celeritas is a new Monte Carlo (MC) detector simulation code designed to help meet the increasing computational demands of high energy physics (HEP) experiments by leveraging accelerator-based HPC architectures. The upcoming 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 in turn require a proportional increase in computational capacity for much of the software that these experiments rely on, including detector simulations. Celeritas is designed to meet this challenge by leveraging the new generation of heterogeneous computing architectures to perform full-fidelity MC simulations of LHC detectors. This includes full electromagnetic (EM) physics in complex geometries in the presence of a magnetic field, with an interface that enables straightforward integration with existing Geant4 applications. This talk will provide an overview of current Celeritas capabilities, focusing in particular on the strategy for integration with experimental HEP computing workflows, and early performance results on DOE's Leadership Computing Facilities (LCFs).