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Computer Optics, 2016, Volume 40, Issue 2, Pages 179–187
DOI: https://doi.org/10.18287/2412-6179-2016-40-2-179-187 (Mi co131) 		 
This article is cited in 5 scientific papers (total in 5 papers)

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
Full-text PDF (422 kB) Citations (5)
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DOI: https://doi.org/10.18287/2412-6179-2016-40-2-179-187
URL: https://www.computeroptics.smr.ru/KO/Annot/KO40-2/400208.html
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-à
This work was supported by RFBR 14-07-00291-a grant.
Received: 15.02.2016
Revised: 05.04.2016
Document Type: Article
Language: Russian
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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    • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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