Information on how Hellbender is organized.
Request Hellbender accounts, order nodes, setup and expand RDE storage, and host a course on Hellbender with the order forms on this page.
Summarizes the Hellbender cluster usage policies.
How to request a free Hellbender/RDE account
To make your work reliable and easy to share, this article recommends using a special blueprint file (called environment.yml) to list all the software tools your project needs. By using this file, anyone can recreate your exact workspace with a single command, ensuring your code runs the same way on every computer. Keeping your projects in their own separate folders and "freezing" your settings when finished prevents future updates from breaking your work.
Tape archival for research data management requirements
Research Support boilerplate document outlining facilities, equipment and other resources for use in grant submissions.
How to enroll in our self-paced canvas course
Compare three versions of the Conda engine to help you pick the best one for your technical skills and computer type. You can choose Anaconda Navigator for a beginner-friendly, "point-and-click" experience, or go with Miniconda or Miniforge if you prefer a lightweight, professional setup that saves disk space. While they differ in size and interface, all three create isolated "sandboxes" to ensure your software projects don't interfere with each other.
Information on Research Data Storage
How to get in contact with RSS support team
Hellbender maintenance window information
Conda acts as a smart organizer for your coding projects, ensuring that all the necessary software "ingredients" work together perfectly without breaking your computer's setup. It supports both Python and R, making it easy to manage complex tools and share your exact environment so your work runs reliably on any machine.
Details on the hardware that currently makes up the Hellbender HPC cluster.
Think of Conda as a way to create separate, private "workspaces" on your computer for different projects so their software settings don't get mixed up or cause errors. While other tools only handle one coding language, Conda is a "heavy hitter" that can manage almost any software component, making it the top choice for complex fields like Data Science and AI. By using these isolated spaces, you keep your computer stable and make it easy to share your exact setup with others.
Conda channels act like specialized "app stores" or online libraries where you can find and download different software packages for your projects. This article explains how to choose between major stores like the curated Anaconda Defaults or the massive, community-run Conda-Forge. It also covers how to set a "priority" for these stores so your computer always knows which one to check first to keep your software stable and up-to-date.