Mitigating Spatial Error in the Iterative Quasi–Monte Carlo (iQMC) Method for Neutron Transport Simulations with Linear Discontinuous Source Tilting and Effective Scattering and Fission Rate Tallies

Author:

Pasmann Samuel1ORCID,Variansyah Ilham2ORCID,Kelley C. T.3,McClarren Ryan G.1ORCID

Affiliation:

1. University of Notre Dame, Department of Aerospace and Mechanical Engineering, Fitzpatrick Hall, Notre Dame, Indiana 46556

2. Oregon State University, School of Nuclear Science and Engineering, 151 Batcheller Hall 1791 SW Campus Way, Corvallis, Oregon 97331

3. North Carolina State University, Department of Mathematics, 3234 SAS Hall, Box 8205, Raleigh, North Carolina 276958205

Funder

U.S. Department of Energy

Publisher

Informa UK Limited

Reference30 articles.

1. J. THOMAS “LLNL and HPE to Partner with AMD on El Capitan Projected as World’s Fastest Supercomputer ” Lawrence Livermore National Laboratory (2020); https://www.llnl.gov/news/llnl-and-hpe-partner-amd-el-capitan-projected-worlds-fastest-supercomputer.

2. J. R. TRAMM, K. YOSHII, and P. K. ROMANO, “Power at Your Fingertips: Assessing the Performance of a Monte Carlo Neutron Transport Mini-App on Consumer Laptop GPUs,” presented at the Int. Conf. on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C) (2023).

3. GPU accelerated simulations of 3D deterministic particle transport using discrete ordinates method

4. R. C. BLEILE et al., “Investigation of Portable Event-Based Monte Carlo Transport Using the Nvidia Thrust Library,” Lawrence Livermore National Laboratory (2016).

5. Continuous-energy Monte Carlo neutron transport on GPUs in the Shift code

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1. The Monte Carlo Computational Summit – October 25 & 26, 2023 – Notre Dame, Indiana, USA;Journal of Computational and Theoretical Transport;2024-06-06

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