TY - GEN
T1 - High performance lattice Boltzmann algorithms for fluid flows
AU - Guo, Weibin
AU - Jin, Cheqing
AU - Li, Jianhua
PY - 2008
Y1 - 2008
N2 - While the lattice Boltzmann method (LBM) has attracted much attention in the area of CFD in recent years, it has also been recognized that it is both computationally demanding and memory intensive. Extensive studies on improving the performance of LBM have been carried out. In this work, various efficient implementation algorithms of LBM are investigated in terms of computational performance and memory consumptions. More precisely, we consider four types high performance LB algorithms: efficient grid refinement, parallel, cache optimization and GPU-based algorithms.
AB - While the lattice Boltzmann method (LBM) has attracted much attention in the area of CFD in recent years, it has also been recognized that it is both computationally demanding and memory intensive. Extensive studies on improving the performance of LBM have been carried out. In this work, various efficient implementation algorithms of LBM are investigated in terms of computational performance and memory consumptions. More precisely, we consider four types high performance LB algorithms: efficient grid refinement, parallel, cache optimization and GPU-based algorithms.
KW - Fluid flow
KW - High performance algorithm
KW - Lattice Boltzmann method
KW - Performance analysis
UR - https://www.scopus.com/pages/publications/62449251371
U2 - 10.1109/ISISE.2008.182
DO - 10.1109/ISISE.2008.182
M3 - 会议稿件
AN - SCOPUS:62449251371
SN - 9780769534947
T3 - 2008 International Symposium on Information Science and Engineering, ISISE 2008
SP - 33
EP - 37
BT - 2008 International Symposium on Information Science and Engineering, ISISE 2008
T2 - 2008 International Symposium on Information Science and Engineering, ISISE 2008
Y2 - 20 December 2008 through 22 December 2008
ER -