Ji Xiaohui, Li Dandan, Cheng Tangpei, Wang Xu-Sheng, Wang Qun
School of Information Engineering, China University of Geosciences, Beijing 100083, China.
Ground Water. 2014 Jul-Aug;52(4):618-23. doi: 10.1111/gwat.12104. Epub 2013 Aug 12.
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 10(5) cells. The efficiency can be further improved by using up-to-date GPU devices.
