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Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware.

, , , , and . Comput. Phys. Commun., (2024)

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Analysis of communication costs for domain decomposed Monte Carlo methods in nuclear reactor analysis., , , and . J. Comput. Phys., 231 (8): 3119-3125 (2012)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)Parallel netCDF: A High-Performance Scientific I/O Interface., , , , , , , , , and . SC, page 39. ACM, (2003)Overcoming Asynchrony: An Analysis of the Effects of Asynchronous Noise on Nearest Neighbor Synchronizations., , and . EASC, volume 8759 of Lecture Notes in Computer Science, page 100-109. Springer, (2014)How community software ecosystems can unlock the potential of exascale computing., , , , , and . Nat. Comput. Sci., 1 (2): 92-94 (2021)Enabling high-fidelity neutron transport simulations on petascale architectures., , , , , and . SC, ACM, (2009)Evolution of FLASH, a multi-physics scientific simulation code for high-performance computing., , , , , , , , , and 10 other author(s). Int. J. High Perform. Comput. Appl., 28 (2): 225-237 (2014)Noise-Tolerant Explicit Stencil Computations for Nonuniform Process Execution Rates., , and . ACM Trans. Parallel Comput., 2 (1): 7:1-7:33 (2015)Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area., , , , , , and . SC Workshops, page 1274-1278. ACM, (2023)A Performance Analysis of SIMD Algorithms for Monte Carlo Simulations of Nuclear Reactor Cores., , and . IPDPS, page 733-742. IEEE Computer Society, (2015)