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

被引：53

作者：

Peng, Xinyan ^{[1
]}

Chen, Guangqi ^{[1
]}

Yu, Pengcheng ^{[1
]}

Zhang, Yingbin ^{[1
,2
,3
]}

Guo, Longxiao ^{[1
]}

Wang, Cungen ^{[1
,4
]}

Cheng, Xiao ^{[1
,5
]}

Niu, Hui ^{[1
]}

机构：

[1] Kyushu Univ, Dept Civil & Struct Engn, Fukuoka, Fukuoka 8190395, Japan

[2] Southwest Jiaotong Univ, Sch Civil Engn, Dept Geotech Engn, Chengdu 610031, Sichuan, Peoples R China

[3] Southwest Jiaotong Univ, Minist Educ, Key Lab Transportat Tunnel Engn, Chengdu 610031, Sichuan, Peoples R China

[4] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Liaoning, Peoples R China

[5] Cent S Univ, Sch Civil Engn, Changsha 410075, Hunan, Peoples R China

来源：

COMPUTERS AND GEOTECHNICS | 2019年 / 106卷

基金：

中国国家自然科学基金;

关键词：

3D-DDA; Block Jacobi; Preconditioned conjugate gradient; OpenMP; Parallel computing; TO-EDGE CONTACT; UNDERGROUND OPENINGS; ROCK MASSES; DDA METHOD; SIMULATION; MODEL; GPU; STABILITY; ALGORITHM; FRICTION;

D O I：

10.1016/j.compgeo.2018.11.016

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 of 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 effciency with satisfactory correctness. The maximum speedup ratio is up to 5.1 for the cases studied.

引用

页码：304 / 313

页数：10

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