This course provides an introduction into successfully running R code on HPC clusters, with a focus on learning about language properties that affect performance, as well as providing an overview over different approaches to the parallelization of R code.

In the first part of this course, we establish good practices to avoid some very common performance bottlenecks and will also provide hints on how to run R code in the context of a batch scheduling system.

The second part aims to provide an overview over several commonly-used R parallelization packages, as well as their applicability depending on the problem at hand, and aims to provide minimalist working examples for later reference.

Language: English