Development of a CUDA Implementation of the 3D FDTD Method

作者：Livesey Matthew^*; Stack James Francis Jr; Costen Fumie; Nanri Takeshi; Nakashima Norimasa; Fujino Seiji

来源：IEEE Antennas and Propagation Magazine, 2012, 54(5): 186-195.

DOI：10.1109/MAP.2012.6348145

• Finite difference methods
• time domain analysis
• hardware
• acceleration
• high performance computing
• parallel programming
• parallel architectures
• GPU
• graphical processing unit

The use of general-purpose computing on a GPU is an effective way to accelerate the FDTD method. This paper introduces flexibility to the theoretically best available approach. It examines the performance on both Tesla- and Fermi-architecture GPUs, and identifies the best way to determine the GPU parameters for the proposed method.

• 出版日期2012-10