skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: An efficient, robust, domain-decomposition algorithm for particle Monte Carlo

Journal Article · · Journal of Computational Physics
 [1];  [2]
  1. Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM 87185-1186 (United States), E-mail: tabrunn@sandia.gov
  2. Lawrence Livermore National Laboratory, P.O. Box 808, Livermore, CA 94551 (United States), E-mail: brantley1@llnl.gov

A previously described algorithm [T.A. Brunner, T.J. Urbatsch, T.M. Evans, N.A. Gentile, Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo, Journal of Computational Physics 212 (2) (2006) 527-539] for doing domain decomposed particle Monte Carlo calculations in the context of thermal radiation transport has been improved. It has been extended to support cases where the number of particles in a time step are unknown at the beginning of the time step. This situation arises when various physical processes, such as neutron transport, can generate additional particles during the time step, or when particle splitting is used for variance reduction. Additionally, several race conditions that existed in the previous algorithm and could cause code hangs have been fixed. This new algorithm is believed to be robust against all race conditions. The parallel scalability of the new algorithm remains excellent.

OSTI ID:
21308090
Journal Information:
Journal of Computational Physics, Vol. 228, Issue 10; Other Information: DOI: 10.1016/j.jcp.2009.02.013; PII: S0021-9991(09)00096-5; Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA); ISSN 0021-9991
Country of Publication:
United States
Language:
English

Similar Records

A Multiple-Set Overlapping-Domain Decomposed Monte Carlo Synthetic Acceleration Method for Linear Systems
Conference · Wed Jan 01 00:00:00 EST 2014 · SNA + MC 2013 - JOINT INTERNATIONAL CONFERENCE ON SUPERCOMPUTING IN NUCLEAR APPLICATIONS + MONTE CARLO · OSTI ID:21308090

Optimization of processor allocation for domain decomposed Monte Carlo calculations
Journal Article · Fri Jun 21 00:00:00 EDT 2019 · Parallel Computing · OSTI ID:21308090

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms
Journal Article · Mon Oct 01 00:00:00 EDT 2012 · Journal of Computational Physics · OSTI ID:21308090