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Load Balancing for Spatial-Grid-Based Parallel Numeric Simulations on Clusters of SMPs - A Case Study from an Industrial CFD Simulation

In: High Performance Computing in Science and Engineering, Munich 2002

Author

Listed:
  • Huaien Gao

    (Institut für Informatik, LRR-TUM)

  • Andreas Schmidt

    (Institut für Informatik, LRR-TUM)

  • Amitava Gupta

    (Institut für Informatik, LRR-TUM)

  • Peter Luksch

    (Institut für Informatik, LRR-TUM)

  • Gerhard Kahl

    (MTU Aero Engines)

Abstract

Load distribution is an essential factor to parallel efficiency of numerical simulations that are based on spatial grids, especially on clusters of symmetric multiprocessors (SMPs). This paper presents a method of mapping spatial grid nodes to processors that combines two load balancing methodologies, graph partitioning and graph matching, to achieve maximum parallel efficiency on SMP clusters. The method has been successfully applied to load distribution in a parallel Computational Fluid Dynamics (CFD) simulation code named TRACE. Test runs on the SR8000 prove the effectiveness of the method.

Suggested Citation

  • Huaien Gao & Andreas Schmidt & Amitava Gupta & Peter Luksch & Gerhard Kahl, 2003. "Load Balancing for Spatial-Grid-Based Parallel Numeric Simulations on Clusters of SMPs - A Case Study from an Industrial CFD Simulation," Springer Books, in: Siegfried Wagner & Arndt Bode & Werner Hanke & Franz Durst (ed.), High Performance Computing in Science and Engineering, Munich 2002, pages 467-481, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55526-8_37
    DOI: 10.1007/978-3-642-55526-8_37
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