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Parallelization of MODFLOW Using a GPU Library
Authors:Xiaohui Ji  Dandan Li  Tangpei Cheng  Xu‐Sheng Wang  Qun Wang
Institution:1. School of Information Engineering, China University of Geosciences, Beijing 100083, China.;2. School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.
Abstract:A new method based on a graphics processing unit (GPU) library is proposed in the paper to parallelize MODFLOW. Two programs, GetAb_CG and CG_GPU, have been developed to reorganize the equations in MODFLOW and solve them with the GPU library. Experimental tests using the NVIDIA Tesla C1060 show that a 1.6‐ to 10.6‐fold speedup can be achieved for models with more than 105 cells. The efficiency can be further improved by using up‐to‐date GPU devices.
Keywords:
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