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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2010-10-21
GPU-Accelerated Fundamental Adi-FDTD with Complex Frequency Shifted Convolutional Perfectly Matched Layer
By
Wei Choon Tay,

    Mr. Wei Choon Tay

    School of Electrical and Electronic Engineering

    Nanyang Technological University

    Singapore

    Homepage

Ding Yu Heh,

    Dr. Ding Yu Heh

    School of Electrical and Electronic Engineering

    Nanyang Technological University

    Singapore

    Homepage

Eng Leong Tan

    Dr. Eng Leong Tan

    School of Electrical and Electronic Engineering

    Nanyang Technological University

    Singapore

    Homepage

Progress In Electromagnetics Research M, Vol. 14, 177-192, 2010
doi:10.2528/PIERM10090605 | Google Scholar

Abstract
This paper presents the graphics processing unit (GPU) accelerated fundamental alternating-direction-implicit finite-difference time-domain (FADI-FDTD) with complex frequency shifted convolutional perfectly matched layer (CFS-CPML). The compact matrix form of the conventional ADI-FDTD method with CFS-CPML is formulated into FADI-FDTD with its right-hand-sides free of matrix operators, resulting in simpler and more concise update equations. Using Compute Unified Device Architecture (CUDA), the FADI-FDTD with CFS-CPML is further incorporated into the GPU to exploit data parallelism. Numerical results show that a much higher efficiency gain of up to 15 times can be achieved.
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Citation
Wei Choon Tay, Ding Yu Heh, and Eng Leong Tan, "GPU-Accelerated Fundamental Adi-FDTD with Complex Frequency Shifted Convolutional Perfectly Matched Layer," Progress In Electromagnetics Research M, Vol. 14, 177-192, 2010.
doi:10.2528/PIERM10090605
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