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 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 and excercised in hands-on session. 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.

Schedule (tentative):
1330-1400 Lecture and Hands-on: Working with RStudio Server
1400-1500 Lecture and Hands-on: R on the Linux Cluster - Environment & Job Processing
1500-1630 Lecture and Hands-on: R on the Linux Cluster - Basic Parallelization Strategies
1630-1700 Demo: R and the LRZ Compute Cloud Infrastructure
(additional breaks will be included during the session)

Basic knowledge of R

Certificates of attendance for

• Introduction to GNU/Linux and the Shell (or comparable previous knowledge)
• Introduction to Working on Remote Systems with SSH (or comparable previous knowledge)
• Introduction to the LRZ HPC Infrastructure (or comparable previous knowledge)

All participants are expected to bring their own laptops.

Slides

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