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 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.
School of Information Engineering, China University of Geosciences, Beijing 100083, China.
Xiaohui
X
Ji
Dandan
D
Li
Tangpei
T
Cheng
Xu-Sheng
XS
Wang
Qun
Q
Wang
D000465:Algorithms; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000379:methods; D060587:Groundwater; D008962:Models, Theoretical; D014872:Water Movements; D014881:Water Supply / Q000706:statistics & numerical data