Analyzing data in an HPC environment using R
Do you use R for analysing large amounts of data? Join us at this free SNIC-PRACE course on speeding up the performance of R code by parallelizing it!
Time: Thu 2021-04-22 09.00 - 16.00
Lecturer: Henric Zazzi
Location: Online via Zoom
Why run your R code in parallel?
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.
To register for this course, fill in the brief registration form .
Note that registration closes on the 15th of April 2021.
- 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 .)
If you have any questions about the course, please contact PDC Support .