Influence of the Flow Physics on the Load Balancing During SPH Simulations

G. Chaussonnet (), T. Dauch, M. Keller, M. Okraschevski, C. Ates, C. Schwitzke, R. Koch and H.-J. Bauer
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G. Chaussonnet: Institut für Thermische Strömungsmaschinen KIT
T. Dauch: Institut für Thermische Strömungsmaschinen KIT
M. Keller: Institut für Thermische Strömungsmaschinen KIT
M. Okraschevski: Institut für Thermische Strömungsmaschinen KIT
C. Ates: Institut für Thermische Strömungsmaschinen KIT
C. Schwitzke: Institut für Thermische Strömungsmaschinen KIT
R. Koch: Institut für Thermische Strömungsmaschinen KIT
H.-J. Bauer: Institut für Thermische Strömungsmaschinen KIT

A chapter in High Performance Computing in Science and Engineering '19, 2021, pp 463-477 from Springer

Abstract: Abstract This study identifies the main factors influencing the load balancing for the SPH method. The idle rate is introduced as an index to quantify the load balancing. We present the algorithmic strategies of our implementation of the SPH method, and their impact on the load balancing. Also, it is shown for the SPH method that due to the formulations of the physics and its Lagrangian aspect, the load balancing can significantly vary during the simulation. Especially, spurious pressure fluctuations arising at boundaries affect the load balancing.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-66792-4_31

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DOI: 10.1007/978-3-030-66792-4_31

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