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Parallel Communication Optimization Based on Graph Partition for Hexagonal Neutron Transport Simulation Using MOC Method

Author

Listed:
  • Jingchao Zheng

    (Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China)

  • Zhiqiang Wang

    (Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China)

  • Zeyi Xie

    (Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China)

  • Xingjie Peng

    (Nuclear Power Institute of China, Chengdu 610041, China)

  • Chen Zhao

    (Nuclear Power Institute of China, Chengdu 610041, China)

  • Wenbin Wu

    (Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China
    Nuclear Power Institute of China, Chengdu 610041, China)

Abstract

OpenMOC-HEX, a neutron transport calculation code with hexagonal modular ray tracing, has the capability of domain decomposition parallelism based on an MPI parallel programming model. In this paper, the optimization of inter-node communication was studied. Starting from the specific geometric arrangement of hexagonal reactors and the communication features of the Method of Characteristics, the computation and communication of all the hexagonal assemblies are mapped to a graph structure. Then, the METIS library is used for graph partitioning to minimize the inter-node communication under the premise of load balance on each node. Numerical results of an example hexagonal core with 1968 energy groups and 1027 assemblies demonstrate that the communication time is reduced by about 90%, and the MPI parallel efficiency is increased from 82.0% to 91.5%.

Suggested Citation

  • Jingchao Zheng & Zhiqiang Wang & Zeyi Xie & Xingjie Peng & Chen Zhao & Wenbin Wu, 2023. "Parallel Communication Optimization Based on Graph Partition for Hexagonal Neutron Transport Simulation Using MOC Method," Energies, MDPI, vol. 16(6), pages 1-12, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2823-:d:1100791
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