https://github.com/princetonuniversity/hpc_r_workshop
https://github.com/princetonuniversity/hpc_r_workshop
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/princetonuniversity/hpc_r_workshop
- Owner: PrincetonUniversity
- License: other
- Created: 2018-03-20T13:05:11.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-10-24T15:16:00.000Z (almost 2 years ago)
- Last Synced: 2023-10-25T02:53:29.431Z (almost 2 years ago)
- Language: Shell
- Size: 130 KB
- Stars: 11
- Watchers: 3
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Using R on the Research Computing Clusters
### About this repo
This repository contains examples of how to use R on the Princeton Research Computing
clusters. The material is written for the Adroit cluster but it can also be used for Della.
The various examples cover how to access R,
appropriate use of Slurm and job scheduling, and some examples of how
one might parallelize code.
### Useful Links
[R User Group at Princeton](https://ddss.princeton.edu/events-and-workshops)
[ORNL Training Archive](https://docs.olcf.ornl.gov/training/training_archive.html) - See "Using R on HPC Clusters" from August 2022.
[CRAN High-Performance and Parallel Computing with R](https://cran.r-project.org/web/views/HighPerformanceComputing.html)
### Getting Started
See our [R and RStudio](https://researchcomputing.princeton.edu/support/knowledge-base/rrstudio) knowledge base for getting started with the Research Computing clusters.
## Getting Help
If you encounter any difficulties with this material then please send an email to cses@princeton.edu or attend a help session.
### Authorship
Ths guide was created by Ben Hicks and Bill Guthe with contributions by Jonathan Halverson and Galen Collier.