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From CPU to GPU: Transforming STEM Education with Parallelism
DescriptionGraphics Processing Units (GPUs) have become essential in accelerating artificial intelligence workloads. We developed and implemented a hands-on, lab-intensive Special Topics course in GPU programming for undergraduate and graduate STEM students. This paper describes the course design, pedagogy, lessons learned, student feedback, and recommendations for integrating GPU programming into STEM curricula.