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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.

Registration

To register for this course, fill in the brief registration form .

Note that registration closes on the 15th of April 2021.

Prerequisites

Contact

If you have any questions about the course, please contact PDC Support