Welcome to the Research Computing Support Group at UTSA!

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 faculty and student researchers alike. Please contact us for any additional information at RCSG@utsa.edu. For technical support , please submit a support request at the following link: https://support.utsa.edu/myportal. (instructions for submitting support requests can be found here.) For after-hours emergency support, please contact University Technology Solutions (UTS) at 210-458-5555.

Please review important changes implemented on Shamu on July 13, 2020 -

Shamu Fair Use Policy AND Slurm - New Job Scheduling System

System Notes

• $HOME directory - /home-new/abc123 - This directory is entirely controlled by you and the default permissions are that nobody else can see or access your files. It is backed up nightly and one week of backups are kept.
• Work directory - /work/abc123 - This directory is where you should place any input/output files, project data, etc... This directory is NOT backed up.

General Information

• Getting Help
• About Shamu cluster
• Use Slurm on Shamu
• FAQ

System Usage

• Quick Start Guide
• Getting Started
• Using the OnDemand Portal
• Using the System
• Running Jobs
• Using TACC's Resources
• Monitoring your jobs
• Transferring files with filezilla
• Using the GPU resources
• Abaqus Usage on SHAMU

Computing Resources

• Hardware
• Storage
• Network

Software & Programming

• Software and Applications
• Common Languages and Compilers
• Python Vms in anaconda
• Python Envs - Saving and importing in a package list
• R environments
• Application Checkpoint and Restart
• Deep Learning Model
• Intel oneAPI

Cloud Computing

• Using Jetstream
• Using Singularity

Fixes

• R - Corrupted R libraries when using Bioconductor
• R - ERROR C++14 standard requested but CXX14 is not defined
• Anaconda - Environment reports corrupted metadata when you try to install packages

Visualization

• Facilities

Parallelization

• CUDA
• GNU Parallel
• Parallel Programming in Python
• Message Passing Interface (MPI)

FAQ

Juypter Notebooks

• Notebooks on azure cloud
• Peril notebook example

• Research SNOW Ticket Submission.pdf: Research Support Request Instructions