Parallel hyperbolic PDE simulation on clusters: Cell versus GPU

Published: 1 December 2010| Version 1 | DOI: 10.17632/6gf57nt269.1
Scott Rostrup, Hans De Sterck


This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Increasingly, high-performance computing is looking towards data-parallel computational devices to enhance computational performance. Two technologies that have received significant attention are IBM's Cell Processor and NVIDIA's CUDA programming model for graphics processing unit (GPU) computing. In this paper we investigate the acceleration of parallel hyperbolic partial differential equation simulation on structured grids with explicit time integration on clusters with Cell and GPU backend... Title of program: SWsolver Catalogue Id: AEGY_v1_0 Nature of problem MPI-parallel simulation of Shallow Water equations using high-resolution 2D hyperbolic equation solver on regular Cartesian grids for x86 CPU, Cell Processor, and NVIDIA GPU using CUDA. Versions of this program held in the CPC repository in Mendeley Data AEGY_v1_0; SWsolver; 10.1016/j.cpc.2010.07.049



Computational Physics, Fluid Dynamics, Gas