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Application power profiling on IBM Blue Gene/Q., , , , , , and . Parallel Comput., (2016)Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system., , , and . CoRR, (2019)Just-in-Time Compilation and Link-Time Optimization for OpenMP Target Offloading., , , , and . IWOMP, volume 13527 of Lecture Notes in Computer Science, page 145-158. Springer, (2022)Immortal rays: Rethinking random ray neutron transport on GPU architectures., and . Parallel Comput., (2021)Evaluation of Performance Portability of Applications and Mini-Apps across AMD, Intel and NVIDIA GPUs., , , , , , , and . P3HPC@SC, page 45-56. IEEE, (2021)Power profiling of a reduced data movement algorithm for neutron cross section data in Monte Carlo simulations., , and . Co-HPC@SC, page 17-24. IEEE, (2014)Data decomposition in Monte Carlo neutron transport simulations using global view arrays., , , , and . Int. J. High Perform. Comput. Appl., 29 (3): 348-365 (2015)Evaluating the Performance of the hipSYCL Toolchain for HPC Kernels on NVIDIA V100 GPUs., and . IWOCL, page 16:1-16:7. ACM, (2020)Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs., , , , , , , and . CoRR, (2024)Application power profiling on IBM Blue Gene/Q., , , , , and . CLUSTER, page 1-8. IEEE Computer Society, (2013)