Resources

This page is designed to provide a sampling of resources for UTRC TACC users.

From the TACC training basics to get to know the TACC ecosystem, to research computing video guides and documentation to help with vital skills for computational research this survey of available materials hopes to enable every researcher to hit the ground running on their goals collaborating with TACC.

On this page

TACC Training Basics: FAQs for Getting Started on TACC Resources
Short Form Video Trainings Under 6 Minutes

All videos available on the TACC Training YouTube Channel:

  1. Creating a TACC Account
    Step by step process of creating a TACC account.
  2. Multifactor Authentication (MFA)
    Setting up MFA for your TACC account.
  3. Resetting MFA
    Step by step tutorial on resetting your multifactor authentication.
  4. Opening a Help Ticket
    Using TACC's ticket system to request help.
  5. Requesting an Allocation
    How to request an allocation on TACC systems.
  6. Adding Users to an Allocation
    How to add users to an allocation on TACC systems.
  7. Checking Allocation Balance
    Step by step process of checking an allocation balance.
  8. Quick Guide to SSH
    How to SSH into TACC filesystems.
  9. Running an idev Job
    How to run an idev job on TACC resources.
  10. Loading Modules
    How to load modules on TACC resources.
  11. Installing Python using PIP
    Step by step process of installing Python utilizing PIP.
  12. SBATCH Command
    How to use SBATCH command.
  13. Navigating File Systems
    Walk through the process of navigating TACC's file systems.
  14. Uploading Files to Vista
    Step by step process of uploading files to the system, Vista.
  15. Downloading Files From Vista
    Step by step process of downloading files from the system, Vista.

Research Computing Skills
Long Form Video Trainings Approximately One Hour

Basics of AI/ML in Data Science Part 1: Linear Regression

Part 1 of 3 parts, this tutorial allows you to follow along in a Jupyter notebook to learn linear regression.

Basics of AI/ML in Data Science Part 2: Multivariable Regression & Parameter Tuning (XGBoost)

Part 2 of 3 parts, this tutorial allows you to follow along in a Jupyter notebook to learn multivariable regression and parameter tuning with XGBoost.

Basics of AI/ML in Data Science Part 3: Classification Models

Part 3 of 3 parts, this tutorial allows you to follow along in a Jupyter notebook to learn classification models.

Online Documentation
Long-Format, Self-Paced Written Guides

First Steps at TACC

An overview of essential tasks related to utilizing TACC resources. 

Intro to Linux and HPC

Learn to navigate the Linux command line and submit batch jobs on TACC HPC systems.

Version Control with Git

Learn the essentials of Git, GitHub, and GitHub Actions.

Machine Learning for Life Science Research

An immersive dive into machine learning best practices and applications in life sciences

Reproducible Science at TACC

Learn topics on using High Performance Computing (HPC) in a manner that promotes Reproducible Science.

Containers at TACC

Learn the basics of building, using, and sharing software containers.