Immersed boundary method of two-phase flow based on DCU parallel acceleration

Haobo Hua; Qianqian Jin; Yi Zhang; Pu Han; Ludi Sun; Lin Han

doi:10.1117/12.2681641

23 May 2023 Immersed boundary method of two-phase flow based on DCU parallel acceleration

Haobo Hua, Qianqian Jin, Yi Zhang, Pu Han, Ludi Sun, Lin Han

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264513 (2023) https://doi.org/10.1117/12.2681641
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

DCU (Deep Computing Unit) acceleration device is a kind of GPU-like device, which is developed by GPU technology authorized by AMD, so it is suitable to solve the parallel problems of many data elements in the same program. In this paper, a parallel immersed boundary method based on DCU acceleration device was studied to realize efficient two-phase flow simulation. The Jacobi multigrid method was used to solve the pressure Poisson equation in the simulations. Based on our serial code and combined with the hardware characteristics of DCU and HIP (Heterogeneous Interface for Portability) heterogeneous programming model, the calculation of pressure Poisson equation used in immersed boundary method was transplanted to DCU, and the parallel immersed boundary method based on multigrid method was realized. Three DCU parallel simulations were carried out: (1) solutions of Poisson equation; (2) two-phase flows of droplet deformation in shear flow and (3) bubble rising process in the static fluid. We tested them on Song Shan supercomputing platform. Compared with CPU version, the DCU parallel immersed boundary method has achieved the highest speed-up ratios of 16.888, 5.223 and 9.604 for resoling Poisson equation, drop deformation in shear flow and rising drop simulations, respectively.

Citation Download Citation

Haobo Hua, Qianqian Jin, Yi Zhang, Pu Han, Ludi Sun, and Lin Han "Immersed boundary method of two-phase flow based on DCU parallel acceleration", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264513 (23 May 2023); https://doi.org/10.1117/12.2681641

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