Using R at LRZ
| Date: | Wednesday, April 10, 2019, 9:00-17:00 |
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| Location: | LRZ Building, Garching/Munich, Boltzmannstr. 1, LRZ Hörsaal |
| Contents: |
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 0900-0930 Lecture: Short Overview of LRZ HPC & ML Infrastructure 1330-1430 Lecture and Hands-on: R on the Linux Cluster - Parallelization Strategies
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| Prerequisites: |
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. |
| Slides: |
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