Great Lakes is a campus-wide HPC cluster designed to meet the diverse needs of researchers across the university. It supports a variety of applications, including simulation, modeling, machine learning, data science, genomics, and more. The platform offers a well-balanced mix of computing power, I/O performance, storage capability, and GPUs. It utilizes Slurm as its workload manager, enabling users to work interactively or submit batch jobs.
Great Lakes
Welcome to using the cluster from the command line where you can do different things than using Open On Demand.
If you are using data types that may need special considerations be sure to visit the Safe Computing Data Guide
Why use the command line?
Open OnDemand is a way for users to run interactive jobs on Great Lakes, Armis2 and Lighthouse. Start computing immediately. A simple interface makes Open OnDemand easy to learn and use. This includes:
A per-principal investigator (PI) or per-project root account contains one or more Slurm subaccounts, each with their own users, limits, and shortcode(s). The entire root account has limits for overall cluster and /scratch usage in addition to any limits put on the sub-accounts.
Slurm is a combined batch scheduler, billing, and resource manager that uses slurm accounts to allow users with a login to the High Performance Computing clusters to run their jobs for a fee.