Today's Tips&Tricks blog spotlights one of the Chameleon Associate Sites: the Electronic Visualization Laboratory (EVL) at the University of Illinois Chicago. Learn about the hardware availability at the site, the motivation behind creating it, and some hands on insights gained in the process of deploying CHI in a Box on the site!
In this month's user experiment blog we get a fascinating insight into how much power training deep neural networks (DNNs) consumes – and how to make it less. The authors’ discuss research presented as part of their NSDI ’23 paper, describe how they structured their experiments on Chameleon, and explain why bare metal resources are essential for power management research.
Things were pretty scary yesterday but we managed to pull a few tricks and bring you some new treats to enjoy in November! Between new Fugaku nodes, the ability to experiment with SGX, and a better way to work with networking at CHI@Edge, we hope to keep you busy and entertained this next month!
Learn about all of the ways you can store your experiment data on Chameleon, including a fantastic new feature: The Shared Filesystem!
Interested in the Fugaku Supercomputer? We now have 8 Fugaku nodes (Fujitsu FX700), available in CHI@TACC! Each of these nodes has a 48 core ARM A64FX CPU, 32 GiB of HBM2 memory, 512GB of NVMe storage, and HDR100 Infiniband. Notably, the high-bandwidth memory and non-x86 architecture are hard to find in other systems. TACC’s Frontera Supercomputer originally procured these for evaluation, but they’re now available for general use in Chameleon.
Learn how Radar Operations Center (ROC) used Chameleon resources as a standing backup for a planned outage.
This month, we bring you a new associate site, new Trovi metrics, and updated stitching documentation.
To all of you starting a new academic year – welcome back! To help you hit the ground running with your research we would like to share some tips and tricks on how to make your experiments on Chameleon more productive.
Learn how to use EdgeVPN.io to easily create Virtual Private Networks (VPNs) and run unmodified middleware and applications across edge and cloud computing resources across networks with different firewalls and NATs (Network Address Translators).