Revision as of 14:36, 29 March 2017

Connecting to the cluster

If you don't already have an account, please fill out the cluster application form.

To access the cluster resources and send commands, SSH is used. SSH stands for secure shell. It is the industry standard for remote access and command execution.

SSH access

On Mac and GNU/Linux, from the a terminal simply run:

ssh <Your Net ID>@login.storrs.hpc.uconn.edu

Windows users can login using PuTTY.

This gives you access to a login node, and you should see a terminal prompt like:

[<Your Net ID>@cn01 ~]$

Off-campus Access

SSH connections are limited to on-campus addresses from both the wired network and the "UCONN-SECURE" wireless network.

There are three ways to connect to HPC from off campus:

1. VPN: The UConn VPN is the recommended way to access the Storrs HPC cluster from off campus. Windows and Mac users should follow the instructions on that page for installing the VPN client. Linux users should follow these alternate instructions.
2. UConn Skybox: Login to a virtual desktop and then access the cluster via PuTTY.
3. Engineering SSH If you have a School of Engineering account you can login to their SSH relay, icarus.engr.uconn.edu, then SSH to the cluster. This process is outlined as follows:

   [<Your User>@<Your Hostname>]$ ssh <Your Net ID>@icarus.engr.uconn.edu
   [<Your Net ID>@icarus.engr.uconn.edu]$ ssh <Your Net ID>@login.storrs.hpc.uconn.edu

Submitting Jobs

All job submission, management, and scheduling is done using the job scheduler software SLURM. To learn more about job submission and management, please read our SLURM Guide.

Always run jobs via SLURM. If you do not, your process may be throttled or terminated.

Please read our usage policy for more details.

Overview of cluster nodes

There are four classes of nodes available on the HPC cluster, each named after the Intel CPU architecture, listed in the table below.

GPUs are installed in two nodes. How to submit jobs to these nodes is described in the GPU Guide.

HPC applications

We have created helpful software guides to demonstrate how to effectively use popular scientific applications on the HPC cluster.

Troubleshooting

For any errors, please read FAQ first. For further assistance, visit the Help page for further resources and contact information for technical support.