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Article

Accelerating Contaminant Transport Simulation in MT3DMS Using JASMIN-Based Parallel Computing

by 1,2, 1,* and 3,4
1
School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
2
China Nuclear Power Engineering Co. Ltd., Beijing 100840, China
3
Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
4
CAEP Software Center for High Performance Numerical Simulation, Beijing 100088, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(5), 1480; https://doi.org/10.3390/w12051480
Received: 9 April 2020 / Revised: 19 May 2020 / Accepted: 19 May 2020 / Published: 22 May 2020
(This article belongs to the Special Issue Groundwater and Soil Remediation)
To overcome the large time and memory consumption problems in large-scale high-resolution contaminant transport simulations, an efficient approach was presented to parallelize the modular three-dimensional transport model for multi-species (MT3DMS) (University of Alabama, Tuscaloosa, AL, USA) program on J adaptive structured meshes applications infrastructures (JASMIN). In this approach, a domain decomposition method and a stencil-based method were used to accomplish parallel implementation, while a ghost cell strategy was used for communication. The MODFLOW-MT3DMS coupling mode was optimized to achieve the parallel coupling of flow and contaminant transport. Five types of models were used to verify the correctness and test the parallel performance of the method. The developed parallel program JMT3D (China University of Geosciences (Beijing), Beijing, China) can increase the speed by up to 31.7 times, save memory consumption by 96% with 46 processors, and ensure that the solution accuracy and convergence do not decrease as the number of domains increases. The BiCGSTAB (Bi-conjugate gradient variant algorithm) method required the least amount of time and achieved high speedup in most cases. Coupling the flow and contaminant transport further improved the efficiency of the simulations, with a 33.45 times higher speedup achieved on 46 processors. The AMG (algebraic multigrid) method achieved a good scalability, with an efficiency above 100% on hundreds of processors for the simulation of tens of millions of cells. View Full-Text
Keywords: parallel computing; MT3DMS; JASMIN; groundwater; contaminant transport parallel computing; MT3DMS; JASMIN; groundwater; contaminant transport
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MDPI and ACS Style

Liu, X.; Zhang, Q.; Cheng, T. Accelerating Contaminant Transport Simulation in MT3DMS Using JASMIN-Based Parallel Computing. Water 2020, 12, 1480. https://doi.org/10.3390/w12051480

AMA Style

Liu X, Zhang Q, Cheng T. Accelerating Contaminant Transport Simulation in MT3DMS Using JASMIN-Based Parallel Computing. Water. 2020; 12(5):1480. https://doi.org/10.3390/w12051480

Chicago/Turabian Style

Liu, Xingwei, Qiulan Zhang, and Tangpei Cheng. 2020. "Accelerating Contaminant Transport Simulation in MT3DMS Using JASMIN-Based Parallel Computing" Water 12, no. 5: 1480. https://doi.org/10.3390/w12051480

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