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Parallelization of MODFLOW Using a GPU Library
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...
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Published in: | Ground water 2014-07, Vol.52 (4), p.618-623 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 0017-467X 1745-6584 |
DOI: | 10.1111/gwat.12104 |