Kernel execution strategies for GPU-accelerated version of method of moments

In this paper, a CUDA-based parallelization technique for improving performance of the Method of Moments (MoM) for solving three dimensional conducting body-wire problems is presented. The efficiency of the presented approach depends significantly on the kernel execution strategies and configuration of a GPU hardware resources specified in kernel launch. To improve the performance of the CUDA-based body-wire MoM calculations, the computation was split into several separate kernels and overlapped with the data transfer between the host and the device memories. The proposed technique is applied to analyze the radiation of the monopole antenna mounted on a PEC body and backed up with comparison with single-CPU results. A noticeable speedup (up to 10x) of the overall MoM simulation is achieved due to employing CUDA-enabled GPU.