Getting Started Guide

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Revision as of 10:20, 7 April 2020 by Jar02014 (talk | contribs) (Overview of cluster nodes)
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Connecting to the cluster

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

SSH access

To access the cluster resources and send commands you need to use an SSH client. On Mac and Linux, from the a terminal simply run:

ssh <Your Net ID>

For Linux/MacOSX users, it is recommended to set up and use SSH keys.

Windows users can login using PuTTY.

Once connected, 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.

In order to connect to HPC from off campus, you will first need to connect to the 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.

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.

Configuration of each type of CPU compute node
Name CPU name Nodes Cores per Node Cores Total RAM (GB) CPU Frequency (GHz) Host Names
Sandy Bridge Xeon E5-2650 40 16 640 64 2.00 cn65 - cn104
Ivy Bridge Xeon E5-2680 v2 32 20 640 128 2.80 cn105 - cn136
Haswell Xeon E5-2690 v3 175 24 4,200 128 2.60 cn137 - cn324
Broadwell Xeon E5-2699 v4 4 44 176 256 2.20 cn325 - cn328
Skylake Xeon Gold 6150 81 36 2,916 192 2.70 cn329 - cn409

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

Configuration of each type of GPU compute node
GPU name Nodes Cards per Node Cuda Cores per Card Tensor Cores Per Card RAM on Card (MB) Host Names
NVIDIA Tesla K40m 2 2 2,880 0 12GB gpu01 - gpu02
NVIDIA Tesla V100 4 3 5,120 640 16GB gpu03 - gpu06

HPC applications

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


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