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Computer Optics, 2016, Volume 40, Issue 2, Pages 179–187 (Mi co131)  

OPTO-IT

Implementation of the FDTD algorithm on GPU using a pyramid method

S. A. Malyshevaab, D. L. Golovashkinab

a Samara State Aerospace University, Samara, Russia
b Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia

Abstract: In this paper we develop a pyramid method in the context of solving time-dependent Maxwell's equations based on the finite difference time domain (FDTD) approach, which is implemented on a graphics processing unit (GPU). Application of this method allows the impact of the GPU's limited memory capacity on the computation time to be reduced, which is significant for the FDTD method.

Keywords: FDTD, Maxwell’s equations, method of pyramids, GPU, CUDA.

Funding Agency Grant Number
Russian Foundation for Basic Research 14-07-00291-ŕ
This work was supported by RFBR 14-07-00291-a grant.


DOI: https://doi.org/10.18287/2412-6179-2016-40-2-179-187

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Full text: http://www.computeroptics.smr.ru/.../400208.html
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Received: 15.02.2016
Revised: 05.04.2016

Citation: S. A. Malysheva, D. L. Golovashkin, “Implementation of the FDTD algorithm on GPU using a pyramid method”, Computer Optics, 40:2 (2016), 179–187

Citation in format AMSBIB
\Bibitem{MalGol16}
\by S.~A.~Malysheva, D.~L.~Golovashkin
\paper Implementation of the FDTD algorithm on GPU using a pyramid method
\jour Computer Optics
\yr 2016
\vol 40
\issue 2
\pages 179--187
\mathnet{http://mi.mathnet.ru/co131}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-2-179-187}


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