This is a follow up to my previous post which was aimed at CUDA 4.2 on Ubuntu 12.04. Although 12.10 is out, it’s not as stable as I would like it to be – I’d recommend sticking with Ubuntu 12.04 for development unless you have specific reasons to upgrade. With CUDA 5, Nvidia has greatly simplified the installation process for Linux, packaging the CUDA toolkit, the SDK and the development drivers all in a neat little package.
This post is now outdated. Please refer this link for an updated version.
If you’re looking for a quick and easy way to get started with GPGPU computing, you really can’t go wrong with nVidia’s CUDA. It is a parallel computing architecture that harnesses the power of GPUs in order to achieve significant speedups in problems that would have otherwise taken a significantly longer time while executing on the CPU. It is the most mature architecture for GPGPU computing, with a wide number of libraries based around it. This guide is going to cover the installation of the CUDA toolkit and SDK on Ubuntu, along with the necessary development drivers.
NOTE – For CUDA to work, you must have an nVidia GPU which is CUDA capable. If you have an ATI GPU, this guide is not for you. You can, however, look into OpenCL.