Using R at LRZ

Date: Wednesday, April 10, 2019, 9:00-17:00
Location: LRZ Building, Garching/Munich, Boltzmannstr. 1, LRZ Hörsaal

R is a highly popular and powerful programming language for data analysis and graphics, used in many research domains. The Leibniz Supercomputing Centre (LRZ) is addressing the needs of R users by facilitating various ways of working with R on LRZ systems.

For one it is hosting a RStudio Server web service that provides an easy to use and powerful platform mostly targeted at interactive analyses. This service can, however, also be used as a gateway to the high performance computing (HPC) systems at LRZ. Additionally, R can be employed directly on the massively parallel Linux Cluster and SuperMUC-NG as well as on specialized and GPU-enhanced machine learning (ML) systems.

In this course, the different possibilities of using R at LRZ will be demonstrated. Guidelines and best practice examples for running R applications efficiently on the various systems will be provided. Special attention will be paid to different ways of parallelizing R code in order to utilize LRZ's HPC infrastructure.

Preliminary Schedule
(subject to change)

0900-0930 Lecture: Short Overview of LRZ HPC & ML Infrastructure
0930-1000 Lecture and Demo: Working with the RStudio Server

1000-1100 Lecture and Hands-on: R on the Linux Cluster - Basics

1100-1230 Lecture and Hands-on: R on the Linux Cluster - Parallelization Strategies

1330-1430 Lecture and Hands-on: R on the Linux Cluster - Parallelization Strategies
1430-1500 Demo and Hands-on: R on the Linux Cluster - Job Processing
1500-1630 Demo: R on Deep Learning Systems and the LRZ Cloud Infrastructure
1630-1700 Wrap-up
(additional breaks will be included in the morning and afternoon sessions)


The course requires participants to have prior experience with GNU/Linux and SSH, as well as a certain familiarity with the LRZ infrastructure (if in doubt, please attend Introduction to the LRZ Supercomputing & Machine Learning Infrastructure). It is adressing participants who are already working with R and who are looking for ways to scale their projects beyond the limits of standard laptops or desktop PCs.

All participants are expected to bring their own laptops.

Language: English
Instructors: J. Albert-von der Gönna, F. Jamitzky (LRZ)
Registration: Via the LRZ registration form. Please choose course HURL1S19.


If you attended this course, please don't forget to rate it. We highly appreciate your feedback: