Heterogeneous Computing
To leverage the increasing heterogeneity in modern computing resources, Geant4 incorporates advanced software tools and a task-based framework (G4Tasking) that enables efficient parallelism at event, sub-event, and track levels. Ongoing R&D efforts focus on integrating GPUs into high-energy physics (HEP) simulations, including optical photon simulation with Opticks/NVIDIA OptiX, offloading electromagnetic particle transport using G4HepEM/AdePT and Celeritas, and employing advanced surface-based geometry models such as VecGeom2.0 and ORANGE. As Geant4 continues evolving toward high-performance computing (HPC) and heterogeneous architectures, it remains a key tool for large-scale simulations in HEP and beyond.
Authors
- S. Y. Jun (ORCID: https://orcid.org/0000-0003-3370-6109)
Institutions
- Fermi National Accelerator Laboratory (US)
Publication Details
- Published
- 2025-02-03
- DOI
- https://doi.org/10.2172/2553033
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article