This month was all about trying to understand better how our users use Chameleon for research and education. We were delighted to see many of you at University of Chicago for the Chameleon User Meeting and even more wowed when we assembled together all the amazing research papers produced by our community.
Our friends at FABRIC have recently updated their FABRIC/Chameleon Trovi artifact. It's full of interesting examples to check out.
As we prepare for the 2023 Chameleon User Meeting, we finish off April with a new Trovi artifact, simple tools to build chameleon images, Xilinx improvements, and blazar client fixes. Don’t forget about the outage at CHI@UC May 7-12.
Chameleon's resources are distributed across multiple sites. If you'd like to move your work between sites, say to take advantage of different hardware, or to find available nodes, good news! It's pretty easy, and this post spells out the details.
Today, two UChicago students share with us their thoughts on how to create reproducible experiments in a cost effective manner. Ray Sinurat and Yuyang (Roy) Huang talk about the experiment patterns for storage experiments they created and describe how they can serve as a basis for developing storage experiments. Best of all – they share the experiment patterns with the Chameleon community – we hope you will find them useful!
It’s been a busy month on Chameleon! We finally have Fabric stitching at CHI@TACC, improvements for educational use, trovi roles, improvements to JupyterLab, and CHI-in-a-box updates.
We are delighted to announce the keynote speaker for the Chameleon User Meeting: Fraida Fund will give a keynote entitled "A Roadmap to Deeper Learning Using Research Infrastructure". Fraida is a Research Assistant Professor in the Department of Electrical and Computer Engineering at NYU Tandon School of Engineering and has extensive experience in using open access experimental platforms for research as well as teaching. She will share with us several ways to use experimental research infrastructure to create meaningful and engaging experiential learning opportunities.
This month's user experiment blog discusses a group's experience in reproducing machine learning research on Chameleon!
In today’s Tips & Tricks post we explore the idea of practical reproducibility: how to make experiments not only reproducible but reproducible in a practical way, i.e. making it as natural to play with science as it is today to read about it via publications. To make this happen we need your help – your experiments packaged in a way that will allow others to easily build upon them by extending them. Let us know what you think!
This changelog is packed! The Chameleon User Meeting Call for Presentations is out, and we have new storage FAST’23 experiment artifacts. We finally have an Ubuntu 22 appliance, and many upgrades to the images in general, more GUI improvements, a faster portal, and CHI-in-a-box is easier to get started with.