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A narrow band-based dynamic load balancing scheme for the level-set ghost-fluid method

In: High Performance Computing in Science and Engineering '21

Author

Listed:
  • Daniel Appel

    (Institute of Aerodynamics and Gasdynamics)

  • Steven Jöns

    (Institute of Aerodynamics and Gasdynamics)

  • Jens Keim

    (Institute of Aerodynamics and Gasdynamics)

  • Christoph Müller

    (Institute of Aerodynamics and Gasdynamics)

  • Jonas Zeifang

    (Institute of Aerodynamics and Gasdynamics
    Universiteit Hasselt, Agoralaan Gebouw D, Faculty of Sciences)

  • Claus-Dieter Munz

    (Institute of Aerodynamics and Gasdynamics)

Abstract

We present a dynamic load balancing scheme for compressible two-phase flows simulations using a high-order level-set ghost-fluid method. The load imbalance arises from introducing an element masking that applies the costly interface-tracking algorithm only to the grid cells near the phase interface. The load balancing scheme is based on a static domain decomposition by the Hilbert space-filling curve and employs an efficient heuristic for the dynamic repartitioning. The current workload distribution is determined through element-local wall time measurements, exploiting the masking approach for an efficient code instrumentation. The dynamic repartitioning effectively carries over the single-core performance gain through the element masking to massively parallelized simulations. We investigate the strong scaling behavior for up to 16384 cores, revealing near optimal parallel efficiency and a performance gain of factor five on average compared to previous, unbalanced simulations without element masking. The load balancing scheme is applied to a well-studied two- and three-dimensional shock-drop interaction in the Rayleigh–Taylor piercing regime, providing an overall runtime reduction of approximately 65%.

Suggested Citation

  • Daniel Appel & Steven Jöns & Jens Keim & Christoph Müller & Jonas Zeifang & Claus-Dieter Munz, 2023. "A narrow band-based dynamic load balancing scheme for the level-set ghost-fluid method," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '21, pages 305-320, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-17937-2_18
    DOI: 10.1007/978-3-031-17937-2_18
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