CUDA is great for any compute intensive task, and that includes image processing. In this tutorial, we’ll be going over why CUDA is ideal for image processing, and how easy it is to port normal c++ code to CUDA. Continue reading ‘Intro to image processing with CUDA’ »
Posts tagged ‘GPU’
The main strong point of CUDA is highly parallel number crunching. Fortunately, this is a very common type of problem encountered in many high performance computing problems. Here is a list of some example applications which have been created using CUDA to achieve maximum performance that is simply not possible on a CPU alone.
CUDA stands for Compute Unified Device Architecture, and is an extension of the C programming language and was created by nVidia. Using CUDA allows the programmer to take advantage of the massive parallel computing power of an nVidia graphics card in order to do general purpose computation. Continue reading ‘What is CUDA? An Introduction’ »