Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques
ICS University of the Philippines Los Bano
ICS University of the Philippines Los Bano, CMSC 190, 2012
@article{silapan2012using,
title={Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques},
author={Silapan, M.N.A.},
year={2012}
}
Graphics Processing Units (GPUs) have been conventionally used in the acceleration of 2D, 3D graphics and video rendering. Because of its performance and capability, the GPU has evolved into a highly parallel programmable processor that specializes in memory bandwith utilization and intensive computation. For operations involving graphics, GPUs offer a lot of gigaflops of processing prowess. The programmability and competency of GPU in the field of general-purpose computing is exemplified through the implementation of image processing techniques using Compute Unified Device Architecture (CUDA) which makes image processing be implemented with a high-speed performance.
May 25, 2012 by hgpu
