GPU Accelerated Fluid Flow Computations Using the Latice Boltzmann Method
Dept. of Automation and Information Technology, Transilvania University of Brasov
Bulletin of the Transilvania University of Brasov, Series I: Engineering Sciences, Vol. 6 (55) No. 1, 2013
@article{nictua2013gpu,
title={GPU ACCELERATED FLUID FLOW COMPUTATIONS USING THE LATICE BOLTZMANN METHOD},
author={NI{c{T}}{u{A}}, C and ITU, LM and SUCIU, C},
year={2013}
}
We propose a numerical implementation based on a Graphics Processing Unit (GPU) for the acceleration of the execution time of the Lattice Boltzmann Method. The performance analysis is based on three three-dimensional benchmark applications: Poisseuille flow, lid-driven cavity flow and flow in an elbow shaped domain. Three different, recently released GPU cards are considered for the parallel implementation. To correctly evaluate the speed-up potential of the GPUs, both single-core and multi-core CPU based implementations are used. The results indicate that the GTX 680 GPU card leads to the best performance, with a speed-up ranging between 6.7 and 14.35 over the multi-core CPU based implementation, depending on the application and on the grid density.
July 2, 2013 by hgpu
