SEMI-IMPLICIT ALGORITHM OF PARTICLE METHOD ACCELERATED BY GPU

Abstract

  The MPS (Moving Particle Semi-implicit) method has been proven useful in free-surface hydrodynamic flows. Despite its applicability, one of its practical problems is the high computational load. By the way, Graphics Processing Unit (GPU), which was originally developed for computer graphics acceleration, now provides unprecedented computational capability for scientific applications.
  The main objective of this study is to develop a GPU-accelerated MPS code with using CUDA (Compute Unified Device Architecture) language. Several techniques have been shown to optimize calculations in CUDA. In order to promote the acceleration by GPU, particular attentions are given to both the search of neighboring particles and the iterative solution of simultaneous linear equations in the Poisson Pressure Equation. In this paper, dam break flow calculations have been carried out by the GPU-accelerated MPS method, and the accuracy and performance of GPU-based code are investigated by comparing the results with those by CPU.