A configurable experimental environment for large-scale cloud research

The summer is almost in full swing, and we're frantically getting stuff done so we can kick back and just rest on our laurels from May until August… just kidding. Expect lots more fun stuff to be announced this summer! For now, enjoy your latest changelog.

In this issue, learn more about running a workshop on Chameleon, blocking out portions of time on your CHI-in-a-Box associate site to "set it aside" for other uses, try out a new Jupyter tutorial around stitching, and apply to take ownership of some of our legacy hardware! We're also very excited to get some comment on IoT hardware investment. More inside!

Image credit: Argonne National Laboratory

Announcing the Chameleon Legacy Hardware Program! We're offering our retired hardware to members of the community interested in joining the Chameleon family as operators of a Chameleon Associate Site. Learn all about the Chameleon Legacy Hardware Program and apply for servers by submitting a short application. Applications are encouraged by 05/16.

This blog feature explores 4th year University of Michigan PhD student Peifeng Yu’s research on hyperparameter tuning, presented earlier this month at MLSys21. Learn more about Yu, the hyperparameter tuning engine, and how it can improve your deep learning model training process.

Do you have a research cluster with an inflexible interface? Does it not provide the level of access (root) you need to run repeatable experiments? Would you like a well-defined and easy way to contribute under-used resources to the community? Learn what it takes to set up a Chameleon associate site which will give you access to industry-standard APIs, best practices and automation to run a research testbed, and support from the Chameleon team for you and your users.