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!
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.
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 …
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.
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!
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.
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.
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.