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Accelerating Groundwater Flow Simulation in MODFLOW Using JASMIN-Based Parallel Computing

机译：基于JASMIN的并行计算加速MODFLOW中的地下水流模拟

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摘要

To accelerate the groundwater flow simulation process, this paper reports our work on developing an efficient parallel simulator through rebuilding the well-known software MODFLOW on JASMIN (J Adaptive Structured Meshes applications Infrastructure). The rebuilding process is achieved by designing patch-based data structure and parallel algorithms as well as adding slight modifications to the compute flow and subroutines in MODFLOW. Both the memory requirements and computing efforts are distributed among all processors; and to reduce communication cost, data transfers are batched and conveniently handled by adding ghost nodes to each patch. To further improve performance, constant-head/inactive cells are tagged and neglected during the linear solving process and an efficient load balancing strategy is presented. The accuracy and efficiency are demonstrated through modeling three scenarios: The first application is a field flow problem located at Yanming Lake in China to help design reasonable quantity of groundwater exploitation. Desirable numerical accuracy and significant performance enhancement are obtained. Typically, the tagged program with load balancing strategy running on 40 cores is six times faster than the fastest MICCG-based MODFLOW program. The second test is simulating flow in a highly heterogeneous aquifer. The AMG-based JASMIN program running on 40 cores is nine times faster than the GMG-based MODFLOW program. The third test is a simplified transient flow problem with the order of tens of millions of cells to examine the scalability. Compared to 32 cores, parallel efficiency of 77 and 68% are obtained on 512 and 1024 cores, respectively, which indicates impressive scalability.
机译：为了加速地下水流模拟过程，本文报告了我们通过在JASMIN（J自适应结构网格应用程序基础结构）上重建著名的MODFLOW软件来开发高效并行模拟器的工作。通过设计基于补丁的数据结构和并行算法，以及对MODFLOW中的计算流程和子例程进行少量修改，即可实现重建过程。内存需求和计算工作量均分布在所有处理器之间。为了降低通信成本，通过在每个补丁中添加幻影节点，可以批量处理数据并方便地处理数据传输。为了进一步提高性能，在线性求解过程中对恒定头/非活动单元进行了标记和忽略，并提出了一种有效的负载平衡策略。通过对三种情况进行建模，证明了其准确性和效率：第一个应用是位于中国延明湖的田间流问题，以帮助设计合理数量的地下水开采。获得了理想的数值精度和显着的性能增强。通常，带有负载平衡策略的标记程序在40个内核上运行，比最快的基于MICCG的MODFLOW程序快六倍。第二项测试是模拟高度非均质含水层中的流动。在40个内核上运行的基于AMG的JASMIN程序比基于GMG的MODFLOW程序快9倍。第三个测试是简化的瞬态流量问题，具有数千万个单元的数量级以检查可伸缩性。与32个内核相比，在512和1024内核上分别获得77％和68％的并行效率，这表明可扩展性令人印象深刻。

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  • 来源
    《Ground water》 |2014年第2期|194-205|共12页
  • 作者

    Tangpei Cheng; Zeyao Mo; Jingli Shao;

  • 作者单位

    Key Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, China,High Performance Computing Center, Institute of Applied Physics and Computational Mathematics, Beijing 100094, China;

    Key Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, China,High Performance Computing Center,Institute of Applied Physics and Computational Mathematics, Beijing 100094, China;

    School of Water Resources and Environmental Science, China University of Geosciences (Beijing), Beijing 100083, China;

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