HiPerCH 11 - Module 3

HiPerCH 11 - Module 3: R on HPC Systems


The goal of this course is to give hints and tips on how to write good-performing R code and to present an overview about the different ways of parallelization in R, while avoiding common pitfalls. The presented concepts should also enable you to refactor existing R code (or porting a code from another Language) more effectively, and to run your code on an HPC cluster using a batch scheduler.

The course will be divided into two parts, each with several hands-on sessions. While the first part is focused on serial performance, the second part will take a look at the several ways of code parallelization offered by R and aims to give hints on when and how to use parallelization techniques to improve code performance.

You will learn:

  • R design philosophy
  • Taking advantage of R's vectorized functions
  • Memory management and data partitioning
  • Running R scripts on a cluster scheduling system
  • Simple multicore programming with mclapply/mcmapply
  • Parallel programming with foreach
  • Using Rmpi
  • Random number generation and parallelism


  • Hands-on workshop

Target group and requirements

  • A basic understanding of programming concepts is needed.
  • For the hands-on part experience with Linux shell is recommended.
  • Previous knowledge of R and working with schedulers is an advantage, but not a hard prerequisite.
  • Participants are expected to bring their own laptop with either Linux/MacOS or Windows with MobaXterm (see downloads for instructions) installed. The hands-on session will be carried out through an SSH connection.
  • A WiFi connection will be provided via Eduroam (guest accounts are available).
  • This module is limited to 20 participants.


  • René Sitt (HKHLR)


  • Wednesday, September 25, 9:00-18:00


  • TU Darmstadt, Alexanderstraße 2, Karl-Plagge-Haus S1|22, Room 403 "New York"

Attendance fee

  • Students(Bachelor/Master): €5.-
  • PhD students and members of universities or public research institutes: €20.-
  • All other: €200.-

The fee includes coffee breaks, lunch, and the evening event.