Using R at LRZ

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 as well as on specialized and GPU-enhanced machine learning systems.

In this half-day course, we will illustrate the different possibilities of using R at LRZ and provide guidelines and best practice examples for running R applications efficiently on the various systems.

Schedule (tentative)

0900-0930 Lecture and Demo: Working with the RStudio Server

0930-1015 Lecture and Hands-on: R on the Linux Cluster - Basics

1015-1100 Lecture: R on the Linux Cluster - Parallelization Strategies

1100-1300 Demo and Hands-on: R on the Linux Cluster - Job Processing

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.

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