Research on GPU parallel algorithm for direct numerical solution of two-dimensional compressible flows

Wang, Yongzhen; Yan, Xuefeng; Zhang, Junan

doi:10.1007/s11227-021-03704-9

Cited by 6 publications

(1 citation statement)

References 24 publications

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“…Due to a lack of space, it is impossible to list all of the related research projects [12][13][14][15][16]. Many well-known CFD softwares such as OpenFOAM, FUN3D, SU2 have made significant efforts to enhance parallel computation performance.…”

Section: Introductionmentioning

confidence: 99%

An efficient communication strategy for massively parallel computation in CFD

Wan

Zhang

et al. 2022

J Supercomput

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With the growing computing power of high-performance computers, efficient parallel algorithms are becoming increasingly important in the development of Computational Fluid Dynamics(CFD). This research presents a novel parallel strategy based on asynchronous and package communication. This strategy tries to enhance the performance of large-scale computation for realistic complex geometry. The new strategy aggregates all communications and only requires communication once at each iteration step. Convergence of the new strategy is also proved and validated. Three numerical experiments demonstrates the exceptional parallel performance of the novel strategy in simulating complex geometry. When the number of CPU cores approach 26 thousand, strong scale parallel efficiency still remains at 74% based on 10.5 billion mesh elements. With 179,200 CPU cores and 10 billion mesh elements, weak scale parallel efficiency maintains at 90%. This research demonstrates that large-scale parallel computation can be applied efficiently in numerical simulation of a complex aircraft.

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