Web Reference: Mar 4, 2026 · This CUDA Programming Guide is the official, comprehensive resource on the CUDA programming model and how to write code that executes on the GPU using the CUDA platform. The goal of this class is to teach parallel computing and developing applications for massively parallel processors (e.g. GPUs). Self-driving cars, machine learning and augmented reality are examples of applications involving parallel computing. This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to implement software that can solve complex problems with the leading consumer to enterprise-grade GPUs available using Nvidia CUDA.
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