Improvement of Fluid Simulation Runtime of Smoothed Particle Hydrodynamics by Using Graphics Processing Unit (GPU)

Journal of ICT Research and Applications

Wahyu Srigutomo¹  Ruddy Kurnia¹  Suprijadi Suprijadi² 

[1] Physics of Earth and Complex System, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa No. 10, Bandung 40132;Theoretical Physics and Instrumentation, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa No. 10, Bandung 40132

关键词: Compute Unified Device Architecture (CUDA);    fluid simulation runtime;    graphic processing unit (GPU);    Scott Russell’s wave generator;    smoothed particle hydrodynamics (SPH).;   

DOI  :  10.5614/itbj.ict.res.appl.2017.11.3.2

学科分类：电子、光学、磁材料

来源: Institute for Research and Community Services ITB

【 摘 要 】

This study concerns an implementation of smoothed particle hydrodynamics (SPH) fluid simulation on a graphics processing unit (GPU) using the Compute Unified Device Architecture’s (CUDA) parallel programming. A bookkeeping method for the neighbor search algorithm was incorporated to accelerate calculations. Based on sequence code profiling of the SPH method, particle interaction computation – which comprises the calculation of the continuity equation and the momentum conservation equation – consumes 95.2% of the calculation time. In this paper, an improvement of the calculation is proposed by calculating the particle interaction part on the GPU and by using a bookkeeping algorithm to restrict the calculation only to contributed particles. Three aspects are addressed in this paper: firstly, speed-up of the CUDA parallel programming computation as a function of the number of particles used in the simulation; secondly, the influence of double precision and single precision schemes on the computational acceleration; and thirdly, calculation accuracy with respect to the number of particles. Scott Russell’s wave generator was implemented for a 2D case and a 3D dam-break. The results show that the proposed method was succesfull in accelerating the SPH simulation on the GPU.

【 授权许可】

CC BY