CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2013, Vol. 30 ›› Issue (3): 317-325.

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JASMIN-based Massive Parallel Computing of Large Scale Groundwater Flow

CHENG Tangpei1,2, MO Zeyao1,2, SHAO Jingli3   

  1. 1. Key Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, China;
    2. High Performance Computing Center, Institute of Applied Physics and Computational Mathematics, Beijing 100094, China;
    3. School of Water Resources and Environmental Science, China University of Geosciences(Beijing), Beijing 100083, China
  • Received:2012-08-24 Revised:2012-11-27 Online:2013-05-25 Published:2013-05-25

Abstract: To overcome prohibitive cost in computational time and memory requirement in simulating groundwater flow models with detailed spatial discretization and long time period,we present an efficient massive parallel-computing program JOGFLOW for large scale groundwater flow simulation.In the program,groundwater flow process in MODFLOW is re-implemented on JASMIN by designing patch-based algorithms as well as using communication method based on adding ghost cells to each patch.Accuracy and efficiency of JOGFLOW are demonstrated in modeling a field flow located at Yanming Lake in Zhengzhou of Henan province.Parallel scalability is measured by simulating a hypothetic groundwater flow problem with much detailed spatial discretization.Compared to 32 cores,the parallel efficiency reaches 77.2% and 67.5% on 512 and 1 024 processors,respectively.Numerical modeling demonstrates good performance and scalability of JOGFLOW,which enables to support groundwater flow simulation with tens of millions of computational cells through massive parallel computing on hundreds or thousands of CPU cores.

Key words: high-resolution groundwater flow simulation, massive parallel computing, JOGFLOW, MODFLOW, JASMIN framework

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