Learn how to leverage Trovi's new GitHub integration to easily create and update reproducible research artifacts. This step-by-step guide shows you how to configure your GitHub repository with RO-crate metadata and import it directly into Trovi, enabling better collaboration and adherence to FAIR principles for your experiments.
Understanding how to preserve your valuable research on Chameleon Cloud is crucial for research continuity and community contribution. Here's how to extend the lifespan of your resources through smart public sharing
Last year was remarkable for our blog, with over 10,000 views and 5,700 active users. As we kick off this year's tips and tricks series, we wanted to highlight the "evergreen" advice that our community returns to time and again. In this roundup, you'll find our most impactful insights - the strategies and solutions that have stood the test of time - each with a brief description and a direct link to the full article. Let's start the year by building on what works!
Facing network issues, floating IP shortages, or login troubles on Chameleon? This blog post highlights the top challenges users encountered over the past year and shares practical tips and tricks to resolve them quickly. Learn how to tackle firewall misconfigurations, manage floating IPs efficiently, troubleshoot login errors, and more. Save time and streamline your Chameleon experience!
Running distributed applications across multiple nodes is a common need in scientific computing, but setting up MPI clusters can be challenging, especially in cloud environments. In this post, we'll explore a template for creating MPI clusters on Chameleon that handles the key configuration steps automatically, letting you focus on your research rather than infrastructure setup.
Discover the powerful updates in Python-chi 1.0, Chameleon's official Python library. This new release brings improved typing, new modules for hardware and storage management, interactive Jupyter widgets, clearer error messages, and easier low-level access. Learn how these enhancements can simplify your experiment workflow, from resource allocation to data analysis. Whether you're a seasoned Chameleon user or just getting started, Python-chi 1.0 offers tools to make your research more efficient and reproducible.
Welcome back, Chameleonaires! As we transition from summer to our usual routines, check out the new and improved resources for getting started with Chameleon. Our engineers have been hard at work creating new tutorials, including interactive Trovi artifacts and live sessions. We've also updated our Getting Started guide to make it easier to use Chameleon’s powerful tools. Dive into our latest Trovi artifacts and tutorials to boost your research efficiency. Happy experimenting!
Exciting news for Chameleon users! We're introducing GigaIO's composable hardware at CHI@UC and CHI@TACC. This innovative technology allows for flexible GPU configurations, supporting up to 8 GPUs per node. Learn how this new feature can enhance your research capabilities and improve hardware utilization. Discover the specifications and unique advantages of our new composable systems in this blog post.
This blog post introduces the latest advancements in peripheral support for the CHI@Edge research testbed. It highlights the platform's holistic approach to integrating a wide range of sensors and cameras, opening up new possibilities for edge computing experiments. The post covers recent updates to documentation and tutorials, showcasing specific peripherals like the Waveshare Sense HAT-B and the Pi Camera Module 3. It also provides real-world examples of edge computing applications in fields such as precision agriculture and marine biology. Researchers are guided through the process of utilizing these new capabilities, with links to comprehensive tutorials on GPIO, sensors, and camera …
Monitoring power consumption is crucial for understanding the energy efficiency of your applications and systems. In this post, we explore various techniques for measuring power usage on Chameleon nodes, including leveraging Intel's RAPL interface for fine-grained CPU and memory power data, utilizing IPMI's DCMI commands for system-level power information, and employing the Scaphandre tool for detailed per-process power monitoring and visualization. We provide practical examples and step-by-step instructions to help you get started with power measurement on Chameleon, enabling you to gain valuable insights into the energy footprint of your workloads.