Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Fourier Transform Based GPU Acceleration

Authors
Jingshen Li
Corresponding Author
Jingshen Li
Available Online March 2013.
DOI
10.2991/iccsee.2013.473How to use a DOI?
Keywords
GPU, Fourier Transform, Parallel Computing
Abstract

In digital image processing, Fourier transform is an important algorithm of image transformation. In order to improve the speed of Fourier transform, the paper proposes to deal with the image with GPU parallel computing through the method of GPU accelerating MATLB. The relationship of data scale and calculation speed is analyzed through the traditional CPU serial operation and GPU parallel computing. Computer simulations verify that the calculation speed can be improved by GPU about large scale data.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.473
ISSN
1951-6851
DOI
10.2991/iccsee.2013.473How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jingshen Li
PY  - 2013/03
DA  - 2013/03
TI  - Fourier Transform Based GPU Acceleration
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1885
EP  - 1888
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.473
DO  - 10.2991/iccsee.2013.473
ID  - Li2013/03
ER  -