Quick Start Guide

The Research Computing Support Group at UTSA provides computing, storage and visualization resources to support research that has specialized or highly intensive computation, storage, bandwidth or graphics requirements. Typical applications include statistics, data analysis, molecular modeling, scientific and engineering simulation and visualization. Research Computing resources and services are widely used by researchers and students alike.

This guide will give you the basics of getting an account and using the Shamu cluster.

How to get an Account on Shamu

Use a SSH terminal Application to Login

  • For Windows (MobaXTerm or SmarTTY)
  • For Mac Terminal Application
  • For Linux command line
You will need to use your campus abc123 and campus passphrase to log into Shamu.

ssh abc123@login.shamu.utsa.edu -p1209

If you have successfully logged in, you should see something like:

Welcome to the Research Support Group cluster "Shamu"

A usage guide is located on our wiki at:

We are now gathering statistics to help promote Shamu in the UTSA Research

We are looking for the following information:
 * Number of presentations and papers published
 * Number of grants, awards or funding
 * Number of patents, copyrights, etc...

If you have used the computational resources of Shamu for any of the above,
email your information to rcsg@utsa.edu.

Email any problems to rcsg@utsa.edu

To use SGE commands like qlogin or qsub, please load the SGE module:
module load sge

The login node role is available to compile software, to submit a parallel or batch program to a job queuing system and to gather/analyze results. Other than when observing interactive jobs it should rarely be necessary for a user to log on to one of the compute nodes and in some cases compute node logins are disabled altogether.

Log into your environment

The login node is the node you where can log in to and work from. On the login node you can:
  • compile your code

  • develop applications

  • submit applications to the cluster for execution

  • monitor running jobs

-- AdminUser - 17 May 2016
Topic revision: r9 - 11 Apr 2017, AdminUser
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