Accelerating a three-dimensional MOC calculation using GPU with CUDA and two-level GCMFD method

The method of characteristics (MOC) is a promising method that can solve neutron transport equation in three-dimensional complex geometry accurately. But the extremely long computation time limits its application. In order to make it acceptable, we studied the acceleration of a three-dimensional MOC code, TCM, with Graphics Processing Unit (GPU) computing which is considered as one of the most high performance computing techniques. With the application of Computer Unified Device Architecture (CUDA) architecture, the conversion from Central Processing Unit (CPU) to GPU is much simpler. Furthermore, the two-level General Coarse Mesh Finite Difference (GCMFD) acceleration method is employed to accelerate the MOC code. Numerical results show that both GPU and two-level GCMFD acceleration are effective for reducing the computational time.