Chameleon Changelog for May 2021

This month, we announce the early user period for our "edgy" users out there, remind you to please update your list of publications using Chameleon(!) and also let you know of a few important and cool things going on. Stay tuned next month for some announcements about new hardware installations, if all goes well!

2021 Chameleon User Survey

As part of Phase 3, we’re looking to improve the Chameleon experience and make the system generally better over the next 4 years. This is your chance to guide hardware purchases, influence Chameleon capabilities and change priorities in our roadmap. 

To help us in this effort, we would like to invite you to take this 10-15 minute survey, and share your experiences, desires, pain points and anything else to help us build a better Chameleon for you! The survey will be open till the end of June. 

Thank you in advance for your participation!

The survey is available here: 2021 ...

Make Your Summer School a Success with Jupyter and Chameleon

Organizing a summer school, bootcamp or workshop this summer? Having trouble finding a consistent and predictable environment? Learn all about how to use the Chameleon JupyterHub artifact to configure resources (including GPUs!) and create a shared Jupyter notebook computing environment that any event attendee can use. You can manage users, deploy Chameleon resources, and use the Help Desk throughout your event!

High-Performance Federated Learning Systems

This work is part of George Mason University PhD student Zheng Chai and Prof. Yue Cheng’s research on solving federated learning (FL) bottlenecks for edge devices. Learn more about the authors, their research, and their novel FL training system, FedAT which already has impressive results, improving prediction performance by up to 21.09% and reducing communication cost by up to 8.5 times compared to state-of-the-art FL systems.

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!