We're hiring a research software engineer to join the Chameleon team!
This month, we are excited to announce integration with the Fabric testbed! We also have updates to the filesystem, including support for it at CHI@TACC, new nodes with CHI@UC with A100 GPUs and IceLake CPUs, and lots of usability improvements to the testbed.
How do you develop and evaluate a new analytic on a network connection data set across large, enterprise systems without malware used to train machine learning models for cyber attacks? Researchers at the University of Virginia approach the problem by simulating self-propagating malware.
An overview of Chameleon's KVM cloud, and a new experiment pattern demo.
This month, we bring to you the much awaited filesystem preview, and a massive Openstack upgrade. We also have a new CHI-in-a-Box version to go along with the upgrade, and some reservation usability improvements.
Chameleon was recently awarded the Best Paper Award at PEARC '22.
Did you ever wonder what makes your favorite testbed “go”? The answer is CHameleon Infrastructure, or CHI for short – packaged as CHI-in-a-Box so that anybody can run their own testbed. We blogged about it a year or so ago, and a lot can change in a year, so this blog brings you some important updates. Not least, there is now a paper on CHI-in-a-Box so you can join the testbed as an Associate Site!
Graph Pattern Mining (GPMI) applications are considered a new class of data-intensive applications -- they generate massive irregular computation workloads and pose memory access challenges, which degrade the performance and scalability significantly. Researchers at the Illinois Institute of Technology approach the problem by using the emerging process-in-memory architecture.
This month, we’re excited to announce some great usability improvements to Chameleon, new features on CHI@Edge, and some fixes for CHI-in-a-Box. We also have some great papers in PEARC! Don’t forget about the Summer with Chameleon webinar series too!
Learn more about Trovi, Chameleon's experiment repository, and how you can use it to collaborate on experiments and share your work. The blog also covers Trovi's integrations with Zenodo and GitHub, creating a more seamless process for running your experiment - from production to publication.