GPU-based parallel WCSPH method for free surface flows

Xi Yang; Guangqi Liang; Taian Hu; Guiyong Zhang; Zhifan Zhang

ICCM Conferences, The 15th International Conference of Computational Methods (ICCM2024)

Xi Yang, Guangqi Liang, Taian Hu, Guiyong Zhang, Zhifan Zhang

Last modified: 2024-07-13

Abstract

In this work, a GPU-based parallel WCSPH framework is constructed based on the CUDA programming language. Except for the pre-process and post-process running on the CPU, all the SPH calculations are implemented on the GPU. The speedup analysis of the present GPU code compared with the serial CPU one is conducted by a water tank test. The maximum acceleration ratio is over 100. The GPU SPH is firstly validated by a hydrostatic benchmark. The results agree well with the analytical solution, the accuracy and convergence are verified. Then, the 3D dam breaking flow impacting the rigid obstacle are simulated to show the ability of the current parallel model. The simulation results are in good agreement with those of the experiments.

Keywords

GPU parallelization; CUDA; SPH

An account with this site is required in order to view papers. Click here to create an account.