Fourier Transform Based GPU Acceleration

Jing Shen Li

doi:10.4028/www.scientific.net/AMM.347-350.2926

Paper Titles

Research in Virtual Home Roaming System Based on Virtools
p.2905

Research in Wellbore Display Platform Based on Virtual Reality
p.2910

Subnet Broadcast Polling Algorithm of Network Management Based on SNMP
p.2915

A Combinative Similarity Computing Measure for Collaborative Filtering
p.2919

Fourier Transform Based GPU Acceleration
p.2926

Grade Exam Management System Design and Implementation Based on ADO.NET
p.2930

Applying Rough Set Theory to Establish Artificial Neural Networks Model for Short Term Incidence Rate Forecasting
p.2937

Challenges on Coordination for Cyber-Physical Systems
p.2942

Development and Implementation of WEB-Based Online Hotel Reservation System
p.2947

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Fourier Transform Based GPU Acceleration

Fourier Transform Based GPU Acceleration

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.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

2926-2929

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.2926

Citation:

Cite this paper

Online since:

August 2013

Authors:

Jing Shen Li

Keywords:

Fourier Transform, Graphic Processing Unit (GPU), Parallel Computing

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jason Sanders, Edward kandrot, CUDA BY Example an introduction to General-Purpose GPU Programming[M]. China Machine Press.

Google Scholar

[2] Nvidia Corporation, http: /www. nvdia. com/cuda.

Google Scholar

[3] NVIDIA Corporation, Accelerating MATLAB with CUDA UsingMEX files. https: /developer. nvidia. com/object/matlab_cuda. html.

Google Scholar

[4] Ruan Qiuqi . Digital image processing [M]. Beijing: Publishing House of electronics industry, 2003: 118-146.

Google Scholar

[5] Zhou Jinping. Image processing and graphics applications [M]. Beijing: Science Press, 2003: 114-147.

Google Scholar

[6] Wu Enhua, based on the graphics processor ( GPU ) is used to calculate the [J]. Journal of computer-aided design & computer graphics, (2004).

Google Scholar

[7] Rob Farber. CUDA- for large amounts of data of the supercomputer [J]. China Academic Journal Electronic Publishing House, 2008, 11: 166-168.

Google Scholar

[8] Deng Yangdong VDIA CUDA large scale parallel program design and training course [Z]. Tsinghua University, 2008: 10-200.

Google Scholar

[9] Zhang Shu. GPU high performance calculation CUDA[M]. Beijing: China Water Power Press.

Google Scholar

[10] Claire, Chen Qingkui CUDA based fast image compression [J]. computer engineering and design, 2010, 14,: 3302-3308.

Google Scholar