Load Balancing of Parallel Monte Carlo Transport Calculations

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The performance of parallel Monte Carlo transport calculations which use both spatial and particle parallelism is increased by dynamically assigning processors to the most worked domains. Since he particle work load varies over the course of the simulation, this algorithm determines each cycle if dynamic load balancing would speed up the calculation. If load balancing is required, a small number of particle communications are initiated in order to achieve load balance. This method has decreased the parallel run time by more than a factor of three for certain criticality calculations.

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PDF-file: 22 pages; size: 2.3 Mbytes

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Procassini, R J; O'Brien, M J & Taylor, J M May 25, 2005.

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The performance of parallel Monte Carlo transport calculations which use both spatial and particle parallelism is increased by dynamically assigning processors to the most worked domains. Since he particle work load varies over the course of the simulation, this algorithm determines each cycle if dynamic load balancing would speed up the calculation. If load balancing is required, a small number of particle communications are initiated in order to achieve load balance. This method has decreased the parallel run time by more than a factor of three for certain criticality calculations.

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PDF-file: 22 pages; size: 2.3 Mbytes

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  • Presented at: Joint Russian-American Five-Laboratory Conference on Computational Mathematics and Physics, Vienna, Austria, Jun 19 - Jun 23, 2005

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  • Report No.: UCRL-PROC-212594
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 877821
  • Archival Resource Key: ark:/67531/metadc879912

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  • May 25, 2005

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  • Sept. 21, 2016, 2:29 a.m.

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  • Nov. 29, 2016, 6:50 p.m.

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Procassini, R J; O'Brien, M J & Taylor, J M. Load Balancing of Parallel Monte Carlo Transport Calculations, article, May 25, 2005; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc879912/: accessed July 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.