Welcome to the Office of Research Computing WIKI

The Office of Research Computing administers two high-performance computing clusters named Argo and Hopper. These clusters are provided as a free resource to all GMU faculty and faculty-sponsored students.

Hopper is a more powerful cluster with over 10,000+ cores, including A100 80GB GPUs and DGX A100 40GB GPUsIt is based on the condo model, but contributors buying nodes for the Hopper clusters are provided preemptive access to funded nodes.

Argo is a 1500+ CPU core batch-processing cluster based on the condo model. Contributors who bought nodes for the Argo clusters are provided higher priority access to the whole cluster and temporary exclusive access to the funded nodes by arrangement.

This wiki provides login information and various HOWTO's as a guide to ORC users. The articles cover a wide range of topics, including cluster specifications, getting an account, logging in, uploading data, avoiding quota issues, getting started with Slurm, environment modules, installing user packages, running parallel jobs, running machine learning workloads, creating checkpoints, using Globus, and more.

To get started with our documentation, refer to any of the following pages:

About the ORC Clusters	Getting Started	Frequently Viewed Pages
About Argo	Getting an ORC Cluster Account	Getting Started with Slurm
About Hopper	Logging into Hopper	Python Virtual Environment
ORC Main WebPage	Getting Started with Slurm	Data Transfer Using Globus
Contact the ORC for Assistance	Open OnDemand on Hopper	Hopper DGX_A100_User_Guide