Accelerating 3D FDTD algorithm using GPU computing

Bo Zhang; Zheng Hui Xue; Wu Ren; Wei Ming Li; Xin Qing Sheng

Accelerating 3D FDTD algorithm using GPU computing

Bo Zhang, Zheng Hui Xue^*, Wu Ren, Wei Ming Li, Xin Qing Sheng

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In order to accelerate 3D finite-difference time-domain(FDTD) algorithm using graphics processing unit(GPU), with the implement of "XY plane parallel, Z direction loop update" and other techniques, a GPU FDTD programming model is proposed which is both efficient and accurate. A project is simulated using the proposed model, and the result shows good agreement with CPU computing while simulation speed is 174 times faster, thus proves the effectiveness and great potential of GPU acceleration in FDTD research.

Original language	English
Pages (from-to)	864-868
Number of pages	5
Journal	Dianbo Kexue Xuebao/Chinese Journal of Radio Science
Volume	26
Issue number	5
Publication status	Published - Oct 2011

Keywords

FDTD
GPU
Hardware acceleration

Cite this

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title = "Accelerating 3D FDTD algorithm using GPU computing",

abstract = "In order to accelerate 3D finite-difference time-domain(FDTD) algorithm using graphics processing unit(GPU), with the implement of {"}XY plane parallel, Z direction loop update{"} and other techniques, a GPU FDTD programming model is proposed which is both efficient and accurate. A project is simulated using the proposed model, and the result shows good agreement with CPU computing while simulation speed is 174 times faster, thus proves the effectiveness and great potential of GPU acceleration in FDTD research.",

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AU - Zhang, Bo

AU - Xue, Zheng Hui

AU - Ren, Wu

AU - Li, Wei Ming

AU - Sheng, Xin Qing

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N2 - In order to accelerate 3D finite-difference time-domain(FDTD) algorithm using graphics processing unit(GPU), with the implement of "XY plane parallel, Z direction loop update" and other techniques, a GPU FDTD programming model is proposed which is both efficient and accurate. A project is simulated using the proposed model, and the result shows good agreement with CPU computing while simulation speed is 174 times faster, thus proves the effectiveness and great potential of GPU acceleration in FDTD research.

AB - In order to accelerate 3D finite-difference time-domain(FDTD) algorithm using graphics processing unit(GPU), with the implement of "XY plane parallel, Z direction loop update" and other techniques, a GPU FDTD programming model is proposed which is both efficient and accurate. A project is simulated using the proposed model, and the result shows good agreement with CPU computing while simulation speed is 174 times faster, thus proves the effectiveness and great potential of GPU acceleration in FDTD research.

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KW - GPU

KW - Hardware acceleration

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JF - Dianbo Kexue Xuebao/Chinese Journal of Radio Science

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Accelerating 3D FDTD algorithm using GPU computing

Abstract

Keywords

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