This repository contains the code and presentation of the workshop on parallel computing & cluster computing using R in collaboration with SURF. More information & sign-up can be found on the website here.
- Some
Rknowledge & experience :) R, minimum version4.2.0(download here)- If you are on Windows:
RTools(download here) - Recommended IDE:
RStudio(download here) - Install the following packages:
install.packages(c("Rcpp", "tidyverse", "pbapply", "sf", "mgcv"))
- Download this repository (link) and unzip it to a nice location
- Open the project by double-clicking on
ossc_workshop.Rprojin the folder.
| Time | Title | Required resource |
|---|---|---|
| 13:00 | Lecture: computational limits in social science | slides |
| 13:45 | Hands-on: a parallel agent-based model in R | assignment |
| 14:30 | Break | your own coffee :) |
| 14:45 | Lecture: supercomputing with R | slides |
| 15:30 | Hands-on: submitting an R array job | assignment |
| 16:15 | Break | your own coffee :) |
| 16:30 | Lecture: combining & analysing the results | slides |
| 16:45 | Conclusion & Q&A | your remaining attention! |
The below map would take around 6 months to produce using the naïve implementation on a normal computer. You will learn how to compute it in a few hours on a supercomputer.
This project is developed and maintained by the ODISSEI Social Data Science (SoDa) team.
Do you have questions, suggestions, or remarks? File an issue in the issue tracker or feel free to contact Erik-Jan van Kesteren (@ejvankesteren)