Analyzing data in an HPC environment using R (April 2021)
| Name | Analyzing data in an HPC environment using R (April 2021) |
|---|---|
| Description | Analyzing data in an HPC environment using R |
| Type of event | 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 apply according to these instructions.)
Course web page and registration
For more information and registration refer to the course webpage
