Documents for the HPC Cluster.
Access to Clipper is currently only provided through SSH and is restricted to certain campus networks and VPN. Duo multi-factor authentication enrollment is also required.
How to launch a Jupyter lab instance using openOnDemand on Clipper.
A updated list of changes made to the Clipper HPC environment.
To ensure the ongoing performance, security, and stability of our High Performance Computing (HPC) resources, we have established regular maintenance windows each semester. This planned downtime allows our team to apply necessary upgrades, address hardware and software issues, and implement performance enhancements without unexpected disruptions.
Clipper uses the Modules package to present software as modules to cluster users. This document describes basic Modules usage.
This policy is established to ensure fair and efficient utilization of computing resources among all users, including faculty, staff, and students. By limiting the percentage of nodes that can be used by different user groups, we aim to prevent any single user from monopolizing the resources and to ensure equitable access for all.
Job submission for MATLAB using SBATCH
Running Batch jobs using STARCCM+ on Clipper
This article is to show you how to submit a basic job to slurm.
Clipper is equipped with 16 NVIDIA GPUs for research use. This article details how to request GPUs in Slurm jobs.
SageMath can run on Clipper via Apptainer.
Some applications on Clipper provide the ability to interact with a graphical user interface using X11 Forwarding. X11 Forwarding allows you to run graphical applications on Clipper’s resources while interacting with them through your own local display and input devices.
Clipper is a collection of Dell PowerEdge servers and storage communicating through high-speed Ethernet and InfiniBand networking. The cluster is available for current students, faculty, and staff for use in their research or teaching.