@Article{AAMM-7-1,
author = {Huang, Changsheng and Shi, Baochang and Nanzhong, He and Zhenhua, Chai},
title = {Implementation of Multi-GPU Based Lattice Boltzmann Method for Flow Through Porous Media},
journal = {Advances in Applied Mathematics and Mechanics},
year = {2015},
volume = {7},
number = {1},
pages = {1--12},
abstract = {<p style="text-align: justify;">The lattice Boltzmann method (LBM) can gain a great amount of
performance benefit by taking advantage of graphics processing unit
(GPU) computing, and thus, the GPU, or multi-GPU based LBM can be
considered as a promising and competent candidate in the study of
large-scale fluid flows. However, the multi-GPU based lattice
Boltzmann algorithm has not been studied extensively, especially for
simulations of flow in complex geometries. In this paper, through
coupling with the message passing interface (MPI) technique, we
present an implementation of multi-GPU based LBM for fluid flow
through porous media as well as some optimization strategies based
on the data structure and layout, which can apparently reduce memory
access and completely hide the communication time consumption. Then
the performance of the algorithm is tested on a one-node cluster
equipped with four Tesla C1060 GPU cards where up to 1732 MFLUPS is
achieved for the Poiseuille flow and a nearly linear speedup with
the number of GPUs is also observed.</p>},
issn = {2075-1354},
doi = {https://doi.org/10.4208/aamm.2014.m468},
url = {https://global-sci.com/article/73379/implementation-of-multi-gpu-based-lattice-boltzmann-method-for-flow-through-porous-media}
}