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
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;
Conference_Titel :
Information Technology and Multimedia (ICIMU), 2014 International Conference on
DOI :
10.1109/ICIMU.2014.7066604
