Chameleon Changelog for April 2021

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 ...

Chameleon Legacy Hardware

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.

Fluid: Resource-Aware Hyperparameter Tuning Engine

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.

Turn Your Hardware into a Chameleon Associate Site with CHI-in-a-Box

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.

Chameleon Changelog for March 2021

Explore CHI-in-a-Box with the new QuickStart notebook, which guides you through the process of setting up CHI-in-a-Box on a bare metal CentOS 8 machine. Announcing a preview of Bring Your Own Device, a feature that allows operators to enroll and manage Chameleon hardware with greater ease. Easier CLI authentication from within your bare metal instances. Add users to your project by either username or email address. And, enjoy a new release of the Jupyter interface!

Automated Calibration of CyberInfrastructure Simulations Based on Real-World Chameleon Executions

Learn about using Chameleon to develop automated calibration for cyberinfrastructure research as part of WRENCH research team member's William Koch's Master's thesis. A M.S. student at the University of Hawai`i at Manoa (UHM), Koch explores cyberinfrastructure research, this research project's approach, and his research background in this blog post.

Cloud-Wrangling with Chameleon's Python Library

Chances are, if you're using Chameleon today, you're probably utilizing either the GUI or the CLI (or a mixture of both.) Did you know there's a Python library that makes it easy to script your Chameleon experiments? In January we announced the public release of python-chi, the official Python library for CHI (Chameleon Infrastructure), which is exactly that. Read on to learn all about python-chi and how to easily use it to experiment on Chameleon.

Chameleon Changelog for February 2021

Winter's almost over! This month we have a lot of announcements, notably a big facelift for CHI-in-the-Box, the packaging of Chameleon, but also a new interactive handbook for Chameleon and some nice KVM capabilities.

Using AI to Direct Traffic: Building Self Learning Networks on Chameleon

Dr. Mariam Kiran is a research scientist in the Scientific Networking Division, as a member of the Prototypes and Testbed group at ESnet, LBNL, and is leading research efforts in AI solutions for operational network research and engineering problems. In this blog, she discusses her research project DAPHNE (Deep and Autonomous High-speed Networks), her use of Chameleon, and her research background.