M2L Optimization In FMBEM And Its
GPU Implementation
Author(s)
Zhaohui Xia, Qifu Wang, Yunhua Liu, Yingjun Wang
& Yixiong Wei
Abstract
The translation from multipole moments to local moments (M2L) in the fast
multipole boundary element method (FMBEM) costs too much time; we
compare three methods of M2L optimization from the three following aspects:
accuracy, efficiency and memory usage with an engineering numerical example,
and then present a GPU parallel algorithm using CUDA for one of the front three
methods which transfers child cell’s coefficients to their father cell, meanwhile,
improve the tree structure by redefining the whole cells in different levels which
can avoid writing data conflict in the parallel strategy. Finally, we use the threedimensional
elastic BEM problems of chassis parts to verify the algorithm, and
the result shows that the accelerating effect of this method is significant.
Keywords: fast multipole method, boundary element method, 3D elasticity, GPU,
CUDA.
Keywords
fast multipole method, boundary element method, 3D elasticity, GPU,
CUDA
Related Book
Other papers in this volume
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