R1:101: Research 1, Room 101

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 OOD
\- Demonstrating HPC performance improvements with K-Means and Random Forest
\- Hands-on: running sample R code on HPC after guided walkthrough
\- Introduction to 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 working alongside the presenter in real time.

The registration for the workshop will close on Nov. 5, 2025, to allow time to set up user accounts.
Registration Link: https://ucf.qualtrics.com/jfe/form/SV_eLEBznsnu3dtraS