In this video we discuss why GPUs are better suited for parallel tasks. We'll discuss how a GPU is better than a CPU at certain tasks. Finally, we set up the NVIDIA CUDA programming packages to use the CUDA API in Visual Studio.

GPUs are a great platform for executing code that can take advantage of hyperparallelization. For example, in this video we show the difference between adding vectors on a CPU versus adding vectors on a GPU. By using the CUDA parallelization framework we can perform mass addition in parallel.

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