Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo

Journal of Computational Physics

Volumn 212, Issue 2, 2006, Pages 527-539

  Brunner, Thomas A ^a   Urbatsch, Todd J ^b   Evans, Thomas M ^b   Gentile, Nicholas A ^c  

^a SANDIA NATIONAL LABORATORIES   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

^c LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

Monte Carlo methods; Parallel computation; Radiative transfer

Indexed keywords

CODES (SYMBOLS); HEAT RADIATION; HIGH ENERGY PHYSICS; MONTE CARLO METHODS; RADIATIVE TRANSFER;

ASYNCHRONOUS PARALLEL; DECOMPOSED MESH; HIGH-ENERGY-DENSITY-PHYSICS; IMPLICIT MONTE CARLO; LAWRENCE LIVERMORE NATIONAL LABORATORIES; LOS ALAMOS NATIONAL LABORATORY; MONTECARLO METHODS; PARALLEL COMPUTATION; RADIATION TRANSPORT; SANDIA NATIONAL LABORATORIES;

PARALLEL ALGORITHMS;

EID: 29144462734     PISSN: 00219991     EISSN: 10902716     Source Type: Journal    
DOI: 10.1016/j.jcp.2005.07.009     Document Type: Article

References (11)

1. N.A. Gentile, N. Keen, J. Rathkopf, The KULL IMC package, Tech. Rep. UCRL-JC-132743, Lawrence Livermore National Laboratory, Livermore, CA, 1998.
2. T.A. Brunner, T.A. Mehlhorn, A user's guide to radiation transport in ALEGRA-HEDP, version 4.6, Tech. Rep. SAND2004-5799, Sandia National Laboratories, Albuquerque, NM, November, 2004.
3. J.A. Fleck Jr. J.D. Cummings An implicit monte carlo scheme for calculating time and frequency dependent nonlinear radiation transport Journal of Computational Physics 8 1971 313-342
4. N.A. Gentile, M.H. Kalos, T.A. Brunner, Obtaining identical results on varying numbers of processors in domain decomposed particle Monte Carlo simulations, Tech. Rep. UCRL-PROC-210823, Lawrence Livermore National Laboratory, March 2005.
5. T.J. Urbatsch, T.M. Evans, Milagro version 2, an implicit Monte Carlo code for thermal radiative transfer: Capabilities, development, and usage, Tech. Rep. LA-14195-MS, Los Alamos National Laboratory, January, 2005.
6. T.J. Urbatsch, T.M. Evans, MILAGRO implicit Monte Carlo: New capabilities and results, Tech. Rep. LA-UR-00-6118, Los Alamos National Laboratory, October 2000.
7. T.J. Urbatsch, T.M. Evans, Reproducibility in parallel Monte Carlo codes, Los Alamos National Laboratory Memorandum, 12 April, 1999.
8. Derrick Coetzee, Binary tree, Wikipedia article. URL http://en.wikipedia.org/wiki/Binary_tree.
9. Rolf Rabenseifner Optimization of collective reduction operations in: M. Bubak G.D.v. Albada P.M.A. Sloot J.J. Dongarra (Eds.) International Conference on Computational Science Lecture Notes in Computer Science vol. 3036 2004 Springer-Verlag Krakow, Poland 1-9
10. J.R. Taylor An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements 1982 University Science Books
11. n algorithm for the massively parallel CM-200 computer Nuclear Science and Engineering 128 3 1998 312-320