Research Cyberinfrastructure promotes workshops and events for researchers at University of Central Florida (UCF). Subscribe to updates to receive email notifications for upcoming events and new opportunities. View past events in our events archive.
Upcoming Events
This workshop introduces participants to the fundamentals of using Parallel Processing within the context of High-Performance Computing (HPC) with R. Attendees will gain an understanding of the benefits and limitations of HPC, learn about the available provider platforms, and practice logging in and running jobs through both Open OnDemand (OOD) and from the Command Line Interface (CLI). The session emphasizes practical skills with guided demonstrations, including performance improvements using algorithms such as K-Means and Random Forest. Through multiple hands-on exercises, participants will experience the end-to-end process of starting an interactive session, running R code on an HPC system, and submitting jobs from the command line using Slurm. By the end of the workshop, participants will be equipped with the knowledge and skills to begin leveraging parallel computing using HPC resources for their own R-based research and data analysis.
- Introduction to HPC in R: benefits, limitations, and use cases
- Brief overview of the HPC provider platform
- Hands-on: logging in and running a simple job with Open OnDemand (OOD)
- Demonstrating HPC performance improvements with K-Means and Random Forest
- Hands-on: running sample R code on HPC after guided walkthrough
- Introduction to Command Line Interface (CLI) and Slurm
- Hands-on: running an R job from CLI with Slurm
Participants will be contacted in advance of the workshop with instructions for creating an ACCESS account. Failing to respond in a timely manner may prevent attendees from being able to work alongside the presenter in real time.
The registration for the workshop will close on 11/5/2025 to allow time to set-up user accounts.
In this workshop, attendees will learn how to leverage Indiana University's cloud-like high performance computing cluster Jetstream2 to deploy JupyterHub, a web-based Python
development environment. Possible uses include a shared coding environment for a research team, a dependable GPU virtual machine that does not need to be scheduled via Slurm, or an automated homework grading system for instructors.
Participants will be contacted in advance of the workshop with instructions for creating an
ACCESS account. Failing to respond in a timely manner may prevent attendees from being
able to work alongside the presenter in real time.
The registration for the workshop will close on 11/6/2025 to allow time to set-up user accounts.
Presented by Ben Keene