Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo
Journal of Computational Physics
Journal of Computational Physics
Journal of Computational Physics
Parallel particle advection and FTLE computation for time-varying flow fields
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Parallel Monte Carlo radiosity using scene partitioning
International Journal of High Performance Computing Applications
Data decomposition of Monte Carlo particle transport simulations via tally servers
Journal of Computational Physics
SE-HPCCSE '13 Proceedings of the 1st International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering
Hi-index | 31.47 |
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.