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Parallel Processing Transport Model MT3DMS by Using OpenMP

Author

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  • Linxian Huang

    (School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
    Engineering Technology Institute for Groundwater Numerical Simulation and Contamination Control, Jinan 250022, China)

  • Lichun Wang

    (Department of Geological Sciences, University of Texas, Austin, TX 78705, USA)

  • Jingli Shao

    (School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xingwei Liu

    (School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China)

  • Qichen Hao

    (Institute of Hydrogeology and Environment Geology, CAGS, Shijiazhuang 050000, China)

  • Liting Xing

    (School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
    Engineering Technology Institute for Groundwater Numerical Simulation and Contamination Control, Jinan 250022, China)

  • Lizhi Zheng

    (Department of Geological Sciences, University of Texas, Austin, TX 78705, USA)

  • Yong Xiao

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

Solute transport modeling resolves advection, dispersion, and chemical reactions in groundwater systems with its accuracy depending on the resolution of domain at all scales, thus the computational efficiency of a simulator becomes a bottleneck for the wide application of numerical simulations. However, the traditional serial numerical simulators have reached their limits for the prohibitive computational time and memory requirement in solving large-scale problems. These limitations have greatly hindered the wide application of groundwater solute transport modeling. Thus, the development of an efficient method for handling large-scale groundwater solute transport simulation is urgently required. In this study, we developed and assessed a parallelized MT3DMS (Modular Three-Dimensional Multispecies Transport Model) by using OpenMP (Open specifications for Multi-Processing) to accelerate the solute transport simulation process. The parallelization was achieved by adding OpenMP compile directives (i.e., defining various types of parallel regions) into the most time-consuming packages, including the Advection package (ADV), Dispersion package (DSP), and Generalized Conjugate Gradient Solver package (GCG). This allows parallel processing on shared-memory multiprocessors, i.e., both the memory requirement and computing efforts are automatically distributed among all processors. Moreover, we discussed two different parallelization strategies for handling numerical models with either many layers or few layers. The performance of parallelized MT3DMS was assessed by two benchmark numerical models with different model domain sizes via a workstation with two quad-core processors. Results showed that the running time of parallelized MT3DMS can be 4.15 times faster than that using sequential MT3DMS. The effects of using different preconditioners (procedures that transform a given problem into a form that is more suitable for numerical solving methods) in the GCG package were additionally evaluated. The modified strategy for handling numerical models with few layers also achieved satisfactory results with running time two times faster than that via sequential simulation. Thus, the proposed parallelization allows high-resolution groundwater transport simulation with higher efficiency for large-scale or multimillion-cell simulation problems.

Suggested Citation

  • Linxian Huang & Lichun Wang & Jingli Shao & Xingwei Liu & Qichen Hao & Liting Xing & Lizhi Zheng & Yong Xiao, 2018. "Parallel Processing Transport Model MT3DMS by Using OpenMP," IJERPH, MDPI, vol. 15(6), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1063-:d:148749
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    References listed on IDEAS

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    1. Wen-chuan Wang & Dong-mei Xu & Kwok-wing Chau & Guan-jun Lei, 2014. "Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4183-4200, September.
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    1. Benhua Liu & Hao Zhan & Yiran Liu & Huan Qi & Linxian Huang & Zhengrun Wei & Zhizheng Liu, 2020. "Effects of Slip Length and Inertia on the Permeability of Fracture with Slippery Boundary Condition," IJERPH, MDPI, vol. 17(11), pages 1-9, May.

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