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/).
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 -