gpuSPHASE—A shared memory caching implementation for 2D SPH using CUDA (new version announcement)

Published: 27-09-2018| Version 2 | DOI: 10.17632/8vpwwh8th5.2
Contributors:
Daniel Winkler,
Massoud Rezavand,
Michael Meister,
Wolfgang Rauch

Description

Smoothed particle hydrodynamics (SPH) is a meshless Lagrangian method that has been successfully applied to computational fluid dynamics (CFD), solid mechanics and many other multi-physics problems. gpuSPHASE is a graphics processing unit (GPU) accelerated solver for 2D SPH simulations that is optimised for relatively small numbers of particles but long physical simulation times as required to solve transport phenomena in process engineering applications. The software aims at a low latency execution pipeline with thousands of iterations per second on contemporary GPU accelerator cards, while using symplectic time integration for long term stability of the simulations. For this, a novel caching algorithm for CUDA shared memory is proposed and implemented. gpuSPHASE is validated against SPHERIC test cases and the performance is evaluated and compared to state of the art implementations of the SPH method.