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The evolution of the computing landscape has resulted in the proliferation ofdiverse hardware architectures, with different flavors of GPUs and othercompute accelerators becoming more widely available. To facilitate theefficient use of these architectures in a heterogeneous computing environment,several programming models are available to enable portability and performanceacross different computing systems, such as Kokkos, SYCL, OpenMP and others. Aspart of the High Energy Physics Center for Computational Excellence (HEP-CCE)project, we investigate if and how these different programming models may besuitable for experimental HEP workflows through a few representative use cases.One of such use cases is the Liquid Argon Time Projection Chamber (LArTPC)simulation which is essential for LArTPC detector design, validation and dataanalysis. Following up on our previous investigations of using Kokkos to portLArTPC simulation in the Wire-Cell Toolkit (WCT) to GPUs, we have exploredOpenMP and SYCL as potential portable programming models for WCT, with the goalto make diverse computing resources accessible to the LArTPC simulations. Inthis work, we describe how we utilize relevant features of OpenMP and SYCL forthe LArTPC simulation module in WCT. We also show performance benchmark resultson multi-core CPUs, NVIDIA and AMD GPUs for both the OpenMP and the SYCLimplementations. Comparisons with different compilers will also be given whereappropriate.

Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL