View source for Analyzing data in an HPC environment using R (April 2021)

{{training event info
|description=Analyzing data in an HPC environment using R
|fields=R; High performance computing
|event type=Course
|location=Online, organised by PDC
|start date=2021-04-22
|end date=2021-04-22
}}

== Course overview ==
R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering. But default R is not executed in parallel and consequently - for huge datasets or for extensive calculations - the analysis of your data can be quite slow.

In this course, which is being organised by PDC in its role as a SNIC PRACE training centre, you will learn what parallelization means, and how to make your R code faster using parallelization. We will also teach you how to run these codes on Tegner, which is a high-performance computing (HPC) cluster at PDC.

== Pre-requisites ==
* Basic knowledge of R/RStudio and Linux
* an account with PDC (If you do not already have an account with PDC, please [https://www.pdc.kth.se/support/documents/getting_access/get_access.html#apply-via-pdc-webpage apply according to these instructions].)

== Course web page and registration ==
For more information and registration refer to the [https://www.pdc.kth.se/about/events/analyzing-data-in-an-hpc-environment-using-r-1.1057170 course webpage]