Texas Tech University

Training

The following material gives information on training sessions and gives links to slides and videos of past training sessions given by the HPCC. For completed sessions or to obtain training outside of these posted times, please consult the slides and videos linked below. Please also refer to the material available on the HPCC User Guides page.

Fall 2025 Training Workshops

  • SEP09

    Introduction to Linux

     -10:00 am - 3:00 pm ** 

     COMPLETED 

  • SEP16

    New User Training

     -10:00 am - 3:00 pm ** 

     COMPLETED 

  • OCT01

    Introduction to Linux

     -10:00 am - 3:00 pm ** 

    Register

  • OCT15

    New User Training

     -10:00 am - 3:00 pm ** 

    Register

  • NOV12

    Introduction to MATLAB in HPC Environment

     10:00 am - 3:00 pm ** 

    Register

* (For courses marked as completed, see below for slides and videos of past sessions that can be viewed on demand.)

** Note, there is a 1-hour lunch break from 12 pm to 1 pm for long training sessions.


HPCC Training Materials

Introduction to Linux

This two-part hands-on class covers Linux topics that include an introduction to the bash command shell, directories and files, popular commands and concepts, compression and archival, and scripting. The training is open to HPCC and non-HPCC users. To make the best use of this user training, participants should already have requested and received HPCC access for their eRaider account, and installed and configured an SSH client on their computer for remote access. Participants without HPCC accounts should have access to a Linux on their own device (for example, Linux on the Mac or WSL on Windows) or elsewhere.

New User Training

This class is intended to give an introduction on the capabilities and usage of the TTU HPCC resources. New users and those who would like to improve their knowledge of how to use and get the most out of HPCC resources are STRONGLY encouraged to attend these training sessions. To make the best use of this user training, participants should already have requested and received HPCC access for their eRaider account, and installed and configured an SSH client on their computer for remote access. Participants who have limited knowledge of Linux are strongly encouraged to attend TTU HPCC's "Introduction to Linux" training prior to attending the New User Training.

Introduction to MATLAB in HPC Environment

This course targets new graduate students or undergraduates to get them started on the fundamentals of programming using MATLAB. The first part is geared toward beginners who desire to explore parallel programming fundamentals through MATLAB. This would also include selected examples of basic scripting essential to running the codes on TTU high-performance computing (HPC) environment. The second session focuses on popular problem statements and their solutions through MATLAB programs. 

 

Introduction to the Workflow Management Systems

This workshop class covers the basic concepts of workflow management systems, set up Nextflow for use on the RedRaider cluster, and the community-curated Nextflow pipelines called nf-core. This training aims toward people interested in getting a basic introduction to Nextflow and nf-core. The workshop also includes some hands-on practice exercises. To make the best use of this training, participants are encouraged to have an active HPCC account. 

Introduction to the Red Raider Cluster

The new RedRaider cluster is available now for all HPCC users following a maintenance shutdown January 4-21, 2021 to merge the previous Quanah CPU and new Nocona CPU and Matador GPU cluster components. To familiarize users in the details of the use of Slurm and all RedRaider cluster components, the HPCC held two sessions of Advanced User Training in December 2020 and January 2021. This training provided extensive information on using the new Red Raider cluster, submitting jobs to the new workload manager Slurm, and building and running applications for the new CPU AMD and GPU Nvidia architectures. Slides and a recording of the most recent session held January 19, 2021 are available below.

To make the best use of this user training, participants should already have requested and received HPCC access for their eRaider account, and installed and configured an SSH client on their computer for remote access.


ACCESS-CI HPC Workshop Series

(Formely known as XSEDE Workshops)

The Pittsburgh Supercomputing Center (PSC) will be presenting one or two-day workshops on various HPC topics co-hosted by the High Performance Computing Center at Texas Tech University; Topics: ML & Big Data, GPU Programming using OpenACC, OpenMP, and MPI.

  • Registration is required. (Please follow the instructions in the registration link below. In particular, please make sure to register for an ACCESS-CI account and log into the ACCESS-CI.org site prior to attempting to register for the event. )
  • Participants must bring their own laptops.
  • Courses offered using the Wide Area Classroom (WAC) training platform.

Upcoming Fall 2025 ACCESS-CI Workshops

  • SEP15

    Machine Learning and BIG DATA (Day 1/2)

     10:00 am - 4:00 pm ** 

    TLPDC Room 150 , located in the North wing of the TTU library

     COMPLETED 

  • SEP17

    Machine Learning and BIG DATA (Day 2/2)

     10:00 am - 4:30 pm ** 

    TLPDC Room 150 & 153 , located in the North wing of the TTU library

     COMPLETED 

  • NOV03

    GPU Programming Using OpenACC

     10:00 am - 4:00 pm ** 

    TLPDC Room 153 , located in the North wing of the TTU library

     (COMING SOON

  • DEC15

    Machine Learning and BIG DATA (Day 1/2)

     10:00 am - 4:00 pm ** 

    TLPDC Room 150 , located in the North wing of the TTU library

     (COMING SOON

  • DEC16

    Machine Learning and BIG DATA (Day 2/2)

     10:00 am - 4:30 pm ** 

    TLPDC Room 150 , located in the North wing of the TTU library

     (COMING SOON

** 1-hour lunch break from 12 pm to 1 pm.


National AI Research Resource (NAIRR) Pilot


AI Researchers, Educators, and those that support them are invited to attend one of two webinars with updated guidance on "Requesting Resources via the National AI Research Resource (NAIRR) Pilot", taking place Monday, September 29, 4-5pm ET / 3-4pm CT / 1-2pm PT and Thursday, October 9, 2-3pm ET / 1-2pm CT / 11am-12pm PT. Registration is required to attend.


September 29: https://internet2.zoom.us/webinar/register/WN__yBL_2-pSwOnNPLCAKeb7Q (completed, see below for slides and video links)
October 9: https://internet2.zoom.us/webinar/register/WN_7T-m1iklRJq6NJCgSJ-l4Q


Each webinar will present an overview of the process for requesting no-charge access to technology resources via the National AI Research Resources Pilot program. In addition to introducing the available, no-charge technology resources, the presentation prepares AI Researchers and Educators for the development of successful resource allocation requests by covering:

  • program eligibility and requirements for Classroom/Educator, Research, Startup and Deep Partnership projects
  • the proposal review and resource allocation processes
  • specific proposal instructions and review criteria from the NAIRR Pilot portal
  • example resource estimates that quantitatively justify requested NAIRR Pilot resources


The presentations will be recorded, leaving designated time for unrecorded audience questions. Registrants will be notified when a recording and slides are available via the YouTube channels for the NAIRR Pilot https://www.youtube.com/@NAIRRPilot and CaRCC https://www.youtube.com/watch?v=3DmIS0_oruUZY&list=3DPLV-SC0CHLTwdnIngXEHnIlKtHiizerz7b. Slides from the inital presentation are also available here.


Materials have been developed with input from NAIRR Pilot operational staff, CaRCC's AI Facilitation Materials Working Group, and representatives from the National Science Foundation (NSF) with support from NSF award #2436057, though they do not necessarily reflect the views of the NSF.


Registration is open to Researchers and Educators who may be interested, as well as professionals who support their access to and use of technology resources for AI-relevant research and education activities.

High Performance Computing Center