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Invited Talk: DK Panda "How to Educate HPC-Enabled AI and Data Science to Students and Professionals in a Holistic Manner?"
DescriptionThe field of AI (including Machine Learning (ML), Deep Learning (DL), Big Data, and Data Science) are rapidly evolving. The effective development and usage of many AI models and the associated inference schemes depend on a good understanding of the underlying HPC hardware and software technologies. Thus, it is becoming a challenge for students and professionals to have a holistic understanding of this new field. In this context, I will share experiences from the following four initiatives in which I am engaged with: 1) A semester long course on `High-Performance Deep/Machine Learning’ for combined undergraduate and graduate students at the Ohio State University; 2) A two series 14-week course (developed through an NSF funding) on 'AI Bootcamp for Cyberinfrastructure Professionals' working in many different HPC centers; 3) A Half-day/full-day conference tutorial on “Principles and Practice of High-Performance Deep/Machine Learning”, and 4) Nurturing Next-Gen students for democratizing AI through the NSF-funded ICICLE (icicle.ai) Institute. An overview of these initiatives and the associated approaches will be presented.