A Novel GPU Acceleration Algorithm Based on CUDA and MPI for Ray Tracing Wireless Channel Modeling

With the improvement of hardware performance, graphics processing unit (GPU) has been applied to the acceleration of ray tracing (RT) wireless channel modeling. In this paper, a new RT acceleration algorithm based on message passing interface (MPI) and GPU called MPI fused with GPU tree algorithm (MGTree) is proposed. Moreover, the indoor conference room is modeled, and the forward algorithm shooting and bouncing ray (SBR) is used for RT. Considering the conventional reflection and diffraction, the three-dimensional (3D) RT acceleration algorithm based on the unified computing device architecture (CUDA) is used to optimize the conventional algorithm, which combines GPU with MPI to form multi-core distributed computing. Then field information is extracted at the receiving side and the wireless channel simulations are conducted. Through experiments, the new algorithm can effectively improve the upper limit of the acceleration ratio, support more rays, and alleviate the pressure of a single GPU kernel.