关键词: 时域有限差分（FDTD）, 并行计算, 时域卷积完全匹配层（CPML）, 基于计算统一设备架构（CUDA）, 通用图形处理器（GPGPU）, 加速

Abstract: Finite Difference Time Domain（FDTD） algorithm costs much time in simulating the electrical-large object.To overcome the drawback，a three-dimensional parallel FDTD algorithm based on Computer Unified Device Architecture（CUDA） is implemented，where the parallel property of FDTD and General Purpose Graphics Processing Units（GPGPU） technique are utilized effectively，and the Convolutionary Perfectly Matched Layer（CPML） absorbing boundary is adopted.Combining the property of FDTD and CUDA，the algorithm is further optimized.Compared with the performance of CPU in the corresponding period，the proposed algorithm is precise and high-speed.The accelerating ratio can reach 10 before optimization and more than 25 after optimization when there are more than 100 thousand Yee cells in simulation field，which shows that the algorithm is fit to simulate electrical-large object.

Key words: Finite Difference Time Domain（FDTD）, parallel computing, Convolutionary Perfectly Matched Layer（CPML）, Computer Unified Device Architecture（CUDA）, General Purpose Graphics Processing Units（GPGPU）, acceleration