Real Time Image Processing on GPU

초록

Recently, GPU (graphics processing unit) has evolved into an extremely powerful computation resource. The purpose of GPGPU (general purpose computation on GPU) is to achieve significant acceleration for computationally intensive tasks beyond the domain of graphics applications. GPU is well-suited to address massive data parallel processing with high floating point (FP) arithmetic intensity, which can be often found in many image processing algorithms. They fit very well with the GPU data parallel programming model and consequently achieve significant acceleration. In this tutorial, we will show how GPU parallel computing is used effectively for real time image processing. We will cover both desktop and mobile platforms, on which algorithm design strategies and optimization techniques are introduced by employing useful examples of image processing. We don’t assume the audience has strong knowledge on GPGPU.