DocumentCode
3581244
Title
Parallel Laplacian filter using CUDA on GP-GPU
Author
Almazrooie, Mishal ; Abdullah, Rosni ; Lim Yun Yi ; Venkat, Ibrahim ; Adnan, Zahraa
Author_Institution
Univ. Sains Malaysia, Minden, Malaysia
fYear
2014
Firstpage
60
Lastpage
65
Abstract
Parallel programming has been extensively applied to different fields, such as medicine, security, and image processing. This paper focuses on parallelizing the Laplacian filter, an edge detection algorithm, using CUDA. We have conducted a performance analysis to benchmark the sequential Laplacian version against the CUDA parallel approach. Results show that the parallelization of Laplacian filter achieves better performance than sequential code. CUDA approach achieved 200 fold speedup for an image size of 50MB when 216 processing elements were deployed.
Keywords
edge detection; filters; graphics processing units; parallel architectures; parallel programming; CUDA parallel approach; GP-GPU; edge detection algorithm; parallel Laplacian filter; parallel programming; performance analysis; sequential code; Arrays; Graphics processing units; Image edge detection; Kernel; Laplace equations; Parallel processing; CUDA; GPGPU; Image processing; Laplacian filter; Parallel computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Multimedia (ICIMU), 2014 International Conference on
Type
conf
DOI
10.1109/ICIMU.2014.7066604
Filename
7066604
Link To Document