Using R at LRZ

Date: Thursday, March 22, 2018, 9:00-18:00
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 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.

Language: English
Teachers: J. Albert-von der Gönna, F. Jamitzky (LRZ), B. Bischl / J. Thomas (LMU)
Registration: Via the LRZ registration form. Please choose course HURL1W17.


mlr and batchtools (slides and materials)

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