Using a PC’s graphics processor for tasks beyond just rendering 3D graphics is how NVIDIA has made billions in the datacenter space. Of course, its proprietary CUDA language and API have been exclusive to the company’s GPUs since the beginning. There have been tools to port CUDA apps to widely-supported languages like OpenCL, but even semi-automated
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Author: Ben Funk
