Development of a CUDA implementation of the 3D FDTD method

Matthew Livesey, James Francis Stack, Fumie Costen, Takeshi Nanri, Norimasa Nakashima, Seiji Fujino

    Research output: Contribution to journalArticlepeer-review

    38 Citations (Scopus)


    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.

    Original languageEnglish
    Article number6348145
    Pages (from-to)186-195
    Number of pages10
    JournalIEEE Antennas and Propagation Magazine
    Issue number5
    Publication statusPublished - 2012

    All Science Journal Classification (ASJC) codes

    • Condensed Matter Physics
    • Electrical and Electronic Engineering


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