Parallel computing of three-dimensional discontinuous deformation analysis based on OpenMP

Xinyan Peng; Guangqi Chen; Pengcheng Yu; Yingbin Zhang; Longxiao Guo; Cungen Wang; Xiao Cheng; Hui Niu

doi:10.1016/j.compgeo.2018.11.016

Parallel computing of three-dimensional discontinuous deformation analysis based on OpenMP

Xinyan Peng, Guangqi Chen, Pengcheng Yu, Yingbin Zhang, Longxiao Guo, Cungen Wang, Xiao Cheng, Hui Niu

Division for Experimental Natural Science

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

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	https://doi.org/10.1016/j.compgeo.2018.11.016
Publication status	Published - Feb 2019

All Science Journal Classification (ASJC) codes

Geotechnical Engineering and Engineering Geology
Computer Science Applications

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title = "Parallel computing of three-dimensional discontinuous deformation analysis based on OpenMP",

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.",

author = "Xinyan Peng and Guangqi Chen and Pengcheng Yu and Yingbin Zhang and Longxiao Guo and Cungen Wang and Xiao Cheng and Hui Niu",

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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

Y1 - 2019/2

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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