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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.