We would like to extend congratulations to Alicia Esquivel Morel and the team for having their paper, AutoLearn: Learning in the Edge to Cloud Continuum, accepted to the SC  ‘23 conference. Please see the paper abstract below and consider attending the workshop presentation if you will be at SC. 

Technological advancements have led to an increase in teaching the fundamentals of cloud computing, robotics and autonomous systems and their importance, relying on strong hands-on practical experimentation. The 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. In this paper, we present an educational module that conveys accessibility to education, aiming to prepare learners for technological career paths with the motivation to bring hands-on sessions, and on the idea of building a freely available set of artifacts that can serve the educational community. Specifically, we present AutoLearn: Learning in the Edge to Cloud Continuum, an educational module that integrates a collection of artifacts, based on a small scale open-source self-driving platform that leverages the Chameleon Cloud testbed to teach cloud computing concepts, edge devices technology, and artificial intelligence driven applications.

This paper will be presented as a part of EduHPC-23: Workshop on Education for High Performance Computing at SC 23 in Denver, CO.

Date and Time of Presentation:

Monday, 13 November 2023

Location: 506

2:39 – 2:47 MST