Getting Started Guide
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.
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>@cn65 ~]$
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:
- 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 can install OpenConnect version 7 or later and connect to the VPN with:
openconnect --juniper sslvpn.uconn.edu
- UConn Skybox: Login to a virtual desktop and then access the cluster via PuTTY.
- 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.
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.
|Name||CPU name||Nodes||Cores per Node||Cores Total||RAM (GB)||CPU Frequency (GHz)||Host Names|
|Haswell||Xeon E5-2690||175||24||4,200||128||2.60||cn137 - cn325|
|Ivy Bridge||Xeon E5-2680||32||20||640||128||2.80||cn105 - cn136|
|Sandy Bridge||Xeon E5-2650||40||16||640||64||2.00||cn65 - cn104|
|GPU name||Nodes||Cards per Node||Cores per Card||Cores Total||RAM on Card (MB)||Host Names|
|NVIDIA Tesla K40m||2||2||2,880||11,520||12GB||gpu01, gpu02|
HPC Storage (short term)
The Storrs HPC cluster has a number of local high performance data storage options available for use during job execution and for the short term storage of job results. None of the cluster storage options listed below should be considered permanent, and should not be used for long term archival of data. Please see the next section below for permanent data storage options that offer greater resiliency.
|Name||Path||Size||Relative Performance||Persistence||Backed up?||Purpose|
||343TB shared||Fastest||None, deleted after 2 weeks||No||Fast parallel storage for use during computation|
||40GB||Fast||None, deleted after 5 days||No|| Fast storage local to each compute node, globally accessible from |
||50GB||Slow||Yes||Twice per week||Personal storage, available on every node|
||By request||Slow||Yes||Twice per week||Short term group storage for collaborative work|
- Data deletion inside the scratch folder is based on directory modification time. You will get 3 warnings by email before deletion.
- Certain directories are only mounted on demand by
autofs. These directories are:
/misc/cnXX. If you try to use shell commands like
lson these directories they may fail. They are only mounted when an attempt is made to access a file under the directory, or using
cdto enter the directory structure.
- You can recover files on your own from our backed up directories using snapshots within 2 weeks.
- You can check on your home directory quota.
- There are read-only datasets available at
/scratch/scratch2/shareddata. More information is available on this page.
Permanent Data Storage (long term)
The university has multiple options for long term permanent data storage. Once data is no longer needed for computation, it should be transferred to one of these locations. Data transfer to permanent locations should be done from the
login.storrs.hpc.uconn.edu login node. Please review the file transfer guide for helpful information on moving data in and out of the cluster.
|Archival cloud storage||
||3PB shared||Low||Data is distributed across three datacenters between the Storrs and Farmington campuses||This storage is best for permanent archival of data without frequent access.|
|UITS Research Storage||Use smbclient to transfer files||By request to UITS||Moderate||Data is replicated between two datacenters on the Storrs campus||This storage is best used for long term data storage requiring good performance, such as data that will be accessed frequently for post-analysis.|
|Departmental/individual storage||Use smbclient to transfer files or SCP utilities||-||-||-||Some departments and/or individual researchers have their own local network storage options. These can be accessed using SMB Client or SCP utilities.|
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.
We have created helpful software guides to demonstrate how to effectively use popular scientific applications on the HPC cluster.