Description
Our Introduction to Parallel R workshop is a free, interactive session that provides a practical introduction to parallel computing in the R language, with a focus on accelerating data processing and statistical analysis.
This workshop is designed for researchers in STEM and the Humanities who already have experience programming in R and are seeking to optimize their workflows for large datasets.

Topics Covered
By the end of this workshop, attendees will be able to connect to the High-Performance Compute cluster and use R’s built-in parallel computing package to improve the performance of their research tasks. Attendees will also gain a foundational understanding of parallel computing concepts that can be applied across programming languages.

Specific topics include:

• Overview of Parallel Computing
• How to Identify Tasks Suitable for Parallelization· Connecting to RCC Systems
• Introduction to the 'parallel' Package in R
• Parallelizing Data Processing for Large Datasets
• Running Parallel Regressions for Large Datasets

Please contact this workshop's instructor,Jose Hernandez, if you have questions about workshop content.  

For online attendance:

You MUST use your FSU email account to access this workshop through Zoom. Please ensure that your Zoom app is up to date before the workshop.  

For in-person attendance:

Please arrive at the workshop at least 5 minutes before the start time.  Please have your FSU Card ready for check-in.