Development of a CUDA implementation of the 3D FDTD method

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

doi:10.1109/MAP.2012.6348145

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 journal › Article › peer-review

38 Citations (Scopus)

Abstract

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 language	English
Article number	6348145
Pages (from-to)	186-195
Number of pages	10
Journal	IEEE Antennas and Propagation Magazine
Volume	54
Issue number	5
DOIs	https://doi.org/10.1109/MAP.2012.6348145
Publication status	Published - 2012

All Science Journal Classification (ASJC) codes

Condensed Matter Physics
Electrical and Electronic Engineering

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10.1109/MAP.2012.6348145

Cite this

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abstract = "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.",

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Development of a CUDA implementation of the 3D FDTD method

Abstract

All Science Journal Classification (ASJC) codes

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