Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

The journey begins as Kate Keahey’s wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the University of Chicago, leads Chameleon. This innovative project offers an edge-to-cloud platform tailored for experimental computer science research, educational endeavors, and emerging applications. Chameleon essentially functions as a bare-metal, reconfigurable testbed, facilitating researchers in exploring various system-related subjects such as energy efficiency in computing, performance variability, and experimentation with unconventional protocols, algorithms, or performance trade-offs. Its scope spans a broad spectrum, encompassing topics from systems research to machine learning and artificial intelligence.

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