Abstract
The computing efficiency of three-dimensional discontinuous deformation analysis (3D-DDA) needs to be improved for large-scale simulations. Among all the subroutines of 3D-DDA, the equation solver is very time-consuming. To accelerate the equation-solving process, this paper proposes implementing the parallel block Jacobi (BJ) and preconditioned conjugate gradient (PCG) iterative solvers into the original 3D-DDA based on OpenMP. The calculation accuracy and computational efficiency are studied by several numerical examples, demonstrating that the modified 3D-DDA with parallel BJ or PCG solver exhibits much higher execution efficiency with satisfactory correctness. The maximum speedup ratio is up to 5.1 for the cases studied.
| Original language | English |
|---|---|
| Pages (from-to) | 304-313 |
| Number of pages | 10 |
| Journal | Computers and Geotechnics |
| Volume | 106 |
| DOIs | |
| Publication status | Published - Feb 1 2019 |
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All Science Journal Classification (ASJC) codes
- Geotechnical Engineering and Engineering Geology
- Computer Science Applications
Cite this
Parallel computing of three-dimensional discontinuous deformation analysis based on OpenMP. / Peng, Xinyan; Chen, Guangqi; Yu, Pengcheng; Zhang, Yingbin; Guo, Longxiao; Wang, Cungen; Cheng, Xiao; Niu, Hui.
In: Computers and Geotechnics, Vol. 106, 01.02.2019, p. 304-313.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Parallel computing of three-dimensional discontinuous deformation analysis based on OpenMP
AU - Peng, Xinyan
AU - Chen, Guangqi
AU - Yu, Pengcheng
AU - Zhang, Yingbin
AU - Guo, Longxiao
AU - Wang, Cungen
AU - Cheng, Xiao
AU - Niu, Hui
PY - 2019/2/1
Y1 - 2019/2/1
N2 - The computing efficiency of three-dimensional discontinuous deformation analysis (3D-DDA) needs to be improved for large-scale simulations. Among all the subroutines of 3D-DDA, the equation solver is very time-consuming. To accelerate the equation-solving process, this paper proposes implementing the parallel block Jacobi (BJ) and preconditioned conjugate gradient (PCG) iterative solvers into the original 3D-DDA based on OpenMP. The calculation accuracy and computational efficiency are studied by several numerical examples, demonstrating that the modified 3D-DDA with parallel BJ or PCG solver exhibits much higher execution efficiency with satisfactory correctness. The maximum speedup ratio is up to 5.1 for the cases studied.
AB - The computing efficiency of three-dimensional discontinuous deformation analysis (3D-DDA) needs to be improved for large-scale simulations. Among all the subroutines of 3D-DDA, the equation solver is very time-consuming. To accelerate the equation-solving process, this paper proposes implementing the parallel block Jacobi (BJ) and preconditioned conjugate gradient (PCG) iterative solvers into the original 3D-DDA based on OpenMP. The calculation accuracy and computational efficiency are studied by several numerical examples, demonstrating that the modified 3D-DDA with parallel BJ or PCG solver exhibits much higher execution efficiency with satisfactory correctness. The maximum speedup ratio is up to 5.1 for the cases studied.
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UR - http://www.scopus.com/inward/citedby.url?scp=85056829839&partnerID=8YFLogxK
U2 - 10.1016/j.compgeo.2018.11.016
DO - 10.1016/j.compgeo.2018.11.016
M3 - Article
VL - 106
SP - 304
EP - 313
JO - Computers and Geotechnics
JF - Computers and Geotechnics
SN - 0266-352X
ER -