@Article{CiCP-17-960,
author = {Changsheng Huang, Baochang Shi, Zhaoli Guo and Zhenhua Chai},
title = {Multi-GPU Based Lattice Boltzmann Method for Hemodynamic Simulation in Patient-Specific Cerebral Aneurysm},
journal = {Communications in Computational Physics},
year = {2018},
volume = {17},
number = {4},
pages = {960--974},
abstract = {<p style="text-align: justify;">Conducting lattice Boltzmann method on GPU has been proved to be an
effective manner to gain a significant performance benefit, thus the GPU or multi-GPU
based lattice Boltzmann method is considered as a promising and competent
candidate in the study of large-scale complex fluid flows. In this work, a multi-GPU
based lattice Boltzmann algorithm coupled with the sparse lattice representation and
message passing interface is presented. Some numerical tests are also carried out, and
the results show that a parallel efficiency close to 90% can be achieved on a single-node
cluster equipped with four GPU cards. Then the proposed algorithm is adopted to
study the hemodynamics of patient-specific cerebral aneurysm with stent implanted.
It is found that the stent can apparently reduce the aneurysmal inflow and improve the
hemodynamic environment. This work also shows that the lattice Boltzmann method
running on the GPU platform is a powerful tool to study the fluid mechanism within
the aneurysms and enable us to better understand the pathogenesis and treatment of
cerebral aneurysms.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.2014.m342},
url = {http://global-sci.org/intro/article_detail/cicp/10987.html}
}