Parallel and AI Computing with MATLAB® (taught by MathWorks® engineers)

This one-day workshop taught by MathWorks® experts offers hands-on practices on how to run MATLAB® workloads efficiently on HCC's cluster, Swan. Attendees will explore the end-to-end workflow for remote job submission (from personal computer to Swan), including cluster configuration, submission strategies, performance tuning, troubleshooting, as well as Deep Learning and AI workflow example using Open OnDemand.

When: September 16th, 9:00 am to 3:00 pm

Cost: FREE!!!

  • Registration is binding!
  • Space is limited!

Where: UNL City Campus - Nebraska Hall 213

  • These sessions will be delivered in-person only!

Target audience: Researchers, scientists, and engineers who want to accelerate their work using MATLAB® on HPC systems, who are ready to run workloads at scale.

Instructors: MathWorks® Engineering Team

Required Pre-requisites:

  • Active HCC account with DUO setup. Click here to request HCC account. Temporary accounts may be provided as needed.
  • To participate in this workshop, you will need a MathWorks® account ( create MathWorks® account ).
  • Bring your own laptop with MATLAB® R2025b or R2026a installed locally.
  • Parallel Computing Toolbox for MATLAB®
  • Simulink® and RF Toolbox are optional but recommended.

Relevant products:

  • MATLAB®
  • Parallel Computing Toolbox™
  • MATLAB® Parallel Server
  • Deep Learning Toolbox™
  • Image Processing Toolbox™
  • Wavelet Toolbox™
  • Simulink®



If you wish to attend both sessions you MUST register for each session individually.

Register for MATLAB® Parallel Session - 9am-12pm

Register for MATLAB® AI Session - 1pm-3pm

Schedule:

Wednesday, September 16th

8:45 am - 9:00 am

Setup and Support

Time available for setting up accounts or troubleshooting issues prior to the day's events.

9:00 am - 9:15 am

Intro to HCC

9:15 am - 12:00 pm

Parallel Computing with MATLAB®

Learn how to run MATLAB® workloads efficiently on a remote HPC cluster. In this tutorial, attendees will explore the end-to-end workflow for remote job submission, including cluster configuration, submission strategies, performance tuning, troubleshooting, and best practices for adapting code to HPC environments.
  • Configure MATLAB® for remote job submission to an HPC cluster.
  • Follow the job submission workflow from setup to execution.
  • Tune and optimize jobs for better performance and resource usage.
  • Troubleshoot common submission and execution issues.
  • Apply best practices for adapting MATLAB® code to HPC systems.

Register for MATLAB® Parallel Session - 9am-12pm

12:00 pm - 1:00 pm

Break between workshop sessions. --- Please note, each session has its own seperate registration.

1:00 pm - 3:00 pm

Deep Learning on the Cluster: An AI workflow example using Open OnDemand

The main tasks involved in deep learning are to assemble large data sets, create a neural network, to train, visualize, and evaluate different models, using specialized hardware – often requiring unique programming knowledge. These tasks are frequently even more challenging because of the complex theory behind them. In this hands‑on lab, you will use MATLAB® in the Open OnDemand environment to:
  • Train deep neural networks on GPUs at the HCC.
  • Create deep learning models from scratch for image and signal data.
  • Explore pretrained models and use transfer learning.
  • Perform classification tasks on images and signals.
  • Explore some example deep learning applications such as ECG classification and pixel‑level semantic segmentation on images.

Register for MATLAB® AI Session - 1pm-3pm


Useful links and commands for the workshop:

Please contact us at hcc-support@unl.edu if you have questions or concerns and we will be happy to help!