Data at Your Desk Series: Parallel R
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 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 have your FSU Card ready for check-in.
Date & timeTuesday, October 20, 2026 · 3:00 PMEnds 4:30 PM
LocationDirac Science Library (DSL)110 N Woodward Ave., Tallahassee, FL
OrganizerTricia BowdenFree event
SourceFSU Events CalendarOpen source ↗
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Data at Your Desk Series: Parallel R
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 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 have your FSU Card ready for check-in.