The "Introduction to GPU Architecture and Programming" course explains the internal design of GPUs and their use in parallel workloads like AI, gaming, and simulations. You’ll explore instruction sets, memory hierarchies, and programming models like CUDA. As GPUs are often targeted in cyberattacks for cryptojacking or data theft, understanding their vulnerabilities is critical. This course discusses how GPU-level exploits can bypass traditional CPU-based defenses and the importance of securing multi-GPU systems in cloud and enterprise environments. Learn how to program GPUs efficiently while minimizing attack surfaces.
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The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
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