The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: EduHPC-23: Workshop on Education for High Performance Computing
Authors: Alicia Esquivel Morel (University of Missouri - Columbia), William Fowler (Tufts University), Kate Keahey (Argonne National Laboratory), Kyle Zheng (Modesto Junior College), Michael Sherman (University of Chicago), and Richard Anderson (Rutgers University)
Abstract: Technological advancements have led to an increase in teaching the fundamentals of robotics and autonomous systems and their importance, relying on strong hands-on practical experimentation. National Science Foundation (NSF)-supported testbeds have opened the doors for experimentation and support in the next era of computing platforms and large-scale cloud research.
We present an open-source educational module that conveys accessibility to education, aiming to prepare learners for technological career paths. Our educational module is developed with the motivation to bring hands-on sessions and allow students to attain knowledge in a comprehensive manner. Specifically, we present AutoLearn: Learning in the Edge to Cloud Continuum, an educational module that integrates a collection of educational artifacts, based on an open-source self-driving platform for small scale that leverages the Chameleon Cloud testbed to teach cloud computing concepts, edge devices technology, and artificial intelligence driven applications.
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