June Workshop Series 2023

Throughout the month of June, HCC will be offering a series of weekly workshops covering topics ideal for individuals new to Holland resources.

These workshops will be delivered in an hybrid environment, in-person at UNL's city campus and remotely via Zoom. Because of the hands-on aspect of the workshops, the number of registrations will be limited. Please register for only the sessions you are interested in and available for.

Thursday afternoons
June 8th, 15th, 22nd, 29th
12:30 pm to 5 pm


Remote attendees will need to maintain a video connection to the workshop during the entire session. Please ensure you are prepared for each week by completing the setup instructions at the link below.

Setup Instructions

Register Now

June 8th: Connecting to HCC Clusters and Introduction to Bash
  • Lesson Materials
  • Learn how to connect to Holland's high performance computing cluster, Swan and how to navigate in the Linux command line with the Bash shell. Topics include the use of pipes, filters, loops, and handling of text files. Lesson materials based on Software Carpentry lessons.

June 15th: Introduction to Bash (cont.), Introduction to HCC, Submitting Jobs, and Handling Data at HCC
  • Bash Lesson Materials
  • Continue mastering the Bash shell by learning how to write reusable shell scripts to help automate tasks. We will also be looking at the basics of working with Holland resources. Topics include an overview of HCC offerings, submitting batch jobs and handling data.

    June 22nd: Handling Data at HCC (cont.), Good Practices, Open OnDemand, and Anvil

    Continue learning the basics of working with Holland resources, including tips on how to optimize workflows, and an introduction to using Open On-Demand for Jupyter Notebooks and browser-based access to HCC clusters, and a coverage of transfering data, how to migrate data from Crane to Swan or Attic.

    June 29th: Using Software on HCC

    Learn how to use software on HCC clusters. Topics include an overview of using HCC Modules to access pre-installed software and creating customized environments and installing software with the Anaconda Package Manager. We will also be joined by a guest lecturer on using HCC resources to run machine learning workflows.