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

Daniel Appel (), Steven Jöns, Jens Keim, Christoph Müller, Jonas Zeifang and Claus-Dieter Munz
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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
Claus-Dieter Munz: Institute of Aerodynamics and Gasdynamics

A chapter in High Performance Computing in Science and Engineering '21, 2023, pp 305-320 from Springer

Abstract: 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%.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-17937-2_18

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DOI: 10.1007/978-3-031-17937-2_18

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