CUDA-based solver for large-scale groundwater flow simulation

This article presents a parallel simulation solver for groundwater flow on CUDA. Preconditioned conjugate gradient (PCG) algorithm is used to solve the large linear systems arising from the finite-difference discretization of three-dimensional groundwater flow problems. CUDA implementing methods for...

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Bibliographic Details
Published in:Engineering with computers Vol. 28; no. 1; pp. 13 - 19
Main Authors: Ji, Xiaohui, Cheng, Tangpei, Wang, Qun
Format: Journal Article
Language:English
Published: London Springer-Verlag 01.01.2012
Springer Nature B.V
Subjects:
CAE) and Design
Calculus of Variations and Optimal Control; Optimization
Classical Mechanics
Computer Science
Computer simulation
Computer-Aided Engineering (CAD
Control
Discretization
Finite difference method
Groundwater
Linear systems
Math. Applications in Chemistry
Mathematical analysis
Mathematical and Computational Engineering
Original Article
Solvers
Systems Theory
Vectors (mathematics)
CUDA
Groundwater simulation
Preconditioned conjugate gradient algorithm
GPU
ISSN:0177-0667, 1435-5663
Online Access:Get full text
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Summary:This article presents a parallel simulation solver for groundwater flow on CUDA. Preconditioned conjugate gradient (PCG) algorithm is used to solve the large linear systems arising from the finite-difference discretization of three-dimensional groundwater flow problems. CUDA implementing methods for the two most time-consuming operations in PCG, sparse matrix–vector multiplication and vector inner-product, are given. The experimental results show that CUDA can speed up the solving process of the groundwater simulation significantly. 1.8–3.7 speedup can be achieved with different GPUs for a transient groundwater flow problem.
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ISSN:0177-0667
1435-5663
DOI:10.1007/s00366-011-0213-2