Comparison of Nested Geometry Treatments within GPU-Based Monte Carlo Neutron Transport Simulations of Fission Reactors
<|reference_start|>Comparison of Nested Geometry Treatments within GPU-Based Monte Carlo Neutron Transport Simulations of Fission Reactors: Monte Carlo (MC) neutron transport provides detailed estimates of radiological quantities within fission reactors. This method involves tracking individual neutrons through a computational geometry. CPU-based MC codes use multiple polymorphic tracker types with different tracking algorithms to exploit the repeated configurations of reactors, but virtual function calls have high overhead on the GPU. The Shift MC code was modified to support GPU-based tracking with three strategies: (1) dynamic polymorphism (DP) with virtual functions, (2) static polymorphism (SP), and (3) a single tracker (ST) type with tree-based acceleration. Results on the Frontier supercomputer show that the DP, SP, and ST methods achieve 77.8%, 91.2%, and 83.4% of the practical maximum tracking rate in the worst case, indicating that any of these methods can be used without incurring a significant performance penalty. The flexibility of the ST method is highlighted with a hexagonal-grid microreactor problem, performed without hexagonal-grid-specific tracking routines.<|reference_end|>
@article{biondo2024comparison,
    title={Comparison of Nested Geometry Treatments within GPU-Based Monte Carlo
  Neutron Transport Simulations of Fission Reactors},
    author={Elliott Biondo, Thomas Evans, Seth Johnson, Steven Hamilton},
    journal={arXiv preprint arXiv:2406.13849},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.13849},
    primaryClass={cs.DC cs.CE cs.CG}
}