FastCaloSim is a parameterized simulation of the particle energy response and of the energy distribution in the ATLAS calorimeter. It is a relatively small and self-contained package with massive inherent parallelism and captures the essence of GPU offloading via important operations like data transfer, memory initialization, floating point operations, and reduction. Thus, it was identified as a good testbed for evaluating the performance and ease
of portability of programming models. As a part of the HEP Center for Computational Excellence project, FastCaloSim had been ported to GPU using CUDA, Kokkos, SYCL, and similar ports for std::parallel, Alpaka, and OpenMP are being developed.
In this presentation, we will give an overview of the progress made with the std::parallel, Alpaka and OpenMP implementations of FastCaloSim. In particular, performance benchmarks on NVIDIA
GPUs, AMD GPUs and multicore CPUs will be reported for each programming model wherever available, along with the comparison of pros and cons of each approach.
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