Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo.

Conference · Wed Jun 01 00:00:00 EDT 2005

OSTI ID:969857

Evans, Thomas M; Urbatsch, Todd J; Brunner, Thomas A; Gentile, Nicholas A ^[1]

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1. Los Alamos National Laboratory

We consider four asynchronous parallel algorithms for Implicit Monte Carlo (IMC) thermal radiation transport on spatially decomposed meshes. Two of the algorithms are from the production codes KULL from Lawrence Livermore National Laboratory and Milagro from Los Alamos National Laboratory. Improved versions of each of the existing algorithms are also presented. All algorithms were analyzed in an implementation of the KULL IMC package in ALEGRA, a Sandia National Laboratory high energy density physics code. The improved Milagro algorithm performed the best by scaling almost linearly out to 244 processors for well load balanced problems.

• Research Organization: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 969857
• Report Number(s): SAND2005-3301C; TRN: US201002%%839
• Resource Relation: Conference: Proposed for presentation at the 2005 Five-Laboratory Conference on Computational Mathematics held June 19-23, 2005 in Vienna, Austria.
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALGORITHMS
ENERGY DENSITY
IMPLEMENTATION
LANL
LAWRENCE LIVERMORE NATIONAL LABORATORY
PHYSICS
PRODUCTION
THERMAL RADIATION
TRANSPORT