Supercharging Your Analyses: Running RStudio on Yale's High-Performance Computing Clusters
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Supercharging Your Analyses: Running RStudio on Yale's High-Performance Computing Clusters In-Person
Having trouble running R scripts on your computer? Does the slow speed and the fear of overwhelming your computer keep you from doing your analyses? We are here to help! You can easily run memory & computation-intensive analyses on RStudio on Yale High Performace Computing clusters. Register and participate in this virtual session to learn how to:
- use GUI such as MobaXterm & OOD to access & work in the cluster
- start an interactive session with RStudio/Desktop and set them up for personal/unique use
- allocate the right number of hours and computing power (node/CPU/GPU)
Brought to you by: Bioinformatics Support at Cushing/Whitney Medical Library & Yale Center for Research Computing
Presenter: Benjamin Evans, Ph.D.
Senior Computational Research Support Analyst
A password-protected Zoom-link will be sent to registrants two-hours before the event start time.
Make sure you register if you are interest. The Zoom link will not be publicly available.
Pre-requisites: All proficiency levels are welcome!
- Date:
- Thursday, June 25, 2020
- Time:
- 10:00am - 12:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Zoom: (Online Only)
- Categories:
- Bioinformatics Data
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