Speaker
Description
Celeritas is a new Monte Carlo detector simulation code designed for computationally intensive applications (specifically, HL-LHC simulation) on high-performance heterogeneous architectures. In the past two years Celeritas has advanced from prototyping a simple, GPU-based, single-physics-model infinite medium to implementing a full set of electromagnetic physics processes in complex geometries. The latest release of Celeritas has incorporated full VecGeom device-based navigation, an event loop in the presence of magnetic fields, and detector hit scoring. The new Acceleritas library provides a scheduler to offload electromagnetic physics to the GPU within a Geant4 driven simulation, enabling integration of Celeritas into HEP experimental frameworks such as CMSSW. Finally, we are collaborating with the AdePT team to design a suite of benchmarks to verify the correctness and evaluate the performance of GPU-enabled detector simulations. We present an overview of these new capabilities in Celeritas and show the performance results on both standalone and Geant4-integrated detector simulation benchmarks on both Nvidia and AMD GPU-based architectures.
| Consider for long presentation | Yes |
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