Performance Analysis of GPU V/S CPU for Image Processing Applications

Abstract

Image processing grosses much more time to perform the convolution in image filtering on CPU, since the computation demand of image filtering is enormous. Contrast to CPU, Graphics Processing Unit (GPU)is a good way to accelerate the image processing. By comparison and analysis,it has reached a conclusion that GPU is appropriate for processinglarge-scale data-parallel load of high-density computing.CUDA(Compute Unified Device Architecture) is a parallel computing architecture established by NVIDIA. CUDA is highly suitable for general purpose programming on GPU which is a programming interface to use the parallel architecture for general purpose computing. This paper stressesthe possible gain in time which can be attained on comparison and analysis of GPU over CPU implementation and the research results shows that the GPU implementation can achieve a speed up of more than 60%of time in comparison with CPU implementation of image processing. GPU has great potential as high-performance co-processor.