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 different 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 systems at LRZ. Additionally, R can be employed directly on the massively parallel Linux Cluster as well as on specialized, GPU-enhanced machine learning systems.

In this 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 Short overview of using R on the high performance computing systems at LRZ
0930-1000 Working with the RStudio Server
1000-1030 Working on the Linux Cluster (setup and the batch scheduler)

1100-1230 R on the Linux Cluster (interactive, simple batch jobs)

1330-1500 R on the Linux Cluster (parallelization strategies)
1500-1800 Applied parallelization and machine learning with R

The course is addressing participants who already have a basic knowledge of R and are working on projects, which are pushing the limits of standard laptops or desktop PCs. All participants are expected to bring their own laptops.

Download

mlr and batchtools (slides and materials)

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