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From CPU to GPU: Transforming STEM Education with Parallelism


Workshop: EduHPC-25: Workshop on Education for High Performance Computing

Authors: Sriram Srinivasan, Hamdan Alabsi, Rand Obeidat, Nithisha Ponnala, and Azene Zenebe (Bowie State University)

Abstract: Graphics 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.


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