Learn about University of Chicago PhD student Chengcheng Wan's research on designing a solution to integrate machine learning components into traditional software systems to maximize energy efficiency, latency, and accuracy constraints at machine learning, system and application levels, with related research published at USENIX ATC, ICML, and ICSE.
In this month's changelog, we announce a few really cool new features, one of which has been on our most-requested list for a long while: PI delegate! Besides that, there is a brand-new preview capability that allows you to share your Trovi experiments with non-Chameleon users so they can reproduce your work w/o an allocation. More details, as always, inside.
Join us on Friday, October 22 at 1.30p CT for Chameleon Live - an informal webinar where the Chameleon team will showcase the newest features of the testbed and answer questions from the community. Think of it as office hours to learn all about Chameleon updates and how to use them! Register and submit questions here: https://forms.gle/4itPs913vFTbnnGG9
New to Chameleon? Or are you a Chameleon veteran interested in exploring a new feature or tool you’ve seen on Chameleon, but not sure where to begin? Look no further - we’ve gathered the top Chameleon tutorials for you to use as inspiration! Ranging from full-length webinars to short overview videos, you can learn and explore new ways to experiment on Chameleon!
See Chameleon Lead PI Kate Keahey's keynote at IC2E on Experimenting from Edge to Cloud on October 6th! Learn more about the talk and register here: https://bit.ly/3APDL65
Chameleon Lead PI Kate Keahey will be giving a keynote at IEEE Cloud Summit! See the talk: Taking Science from Cloud to Edge during the conference Oct 21-22. Learn more here: https://bit.ly/3EUQ4jX
Tune in October 27 at 8a PST on the networking channel to hear Chameleon Lead PI Kate Keahey and DevOps lead Jason Anderson speak about how to use Chameleon to run experiments spanning edge devices and the cloud! Learn more: https://bit.ly/3zLoK3Z
University of Texas, San Antonio Professor Wei Wang and PhD student Sen He investigate performance testing for cloud computing research to help make your research more efficient and cost effective. Learn about their research, which won the ACM SIGSOFT Distinguished Paper award in 2019, experience on Chameleon and AWS, and life philosophies.
In this month's changelog, we announce support for "restricted" edge devices, allowing your research group to temporarily lock down a contributed edge device to only be reservable by your group, but also some more support for interesting peripherals like a camera connected to a Jetson Nano. For more details, come in!