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DTSTAMP:20260705T001131Z
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DTSTART:20210422T070000Z
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DESCRIPTION:Speakers: Henric Zazzi\nDo you use R for analysing large amount
 s of data? Join us at this free SNIC-PRACE course on speeding up the perfo
 rmance of R code by parallelizing it!\n\nWhy run your R code in parallel?\
 n\nR is a freely available language and environment for statistical comput
 ing and graphics which provides a wide variety of statistical and graphica
 l techniques: linear and nonlinear modelling\, statistical tests\, time se
 ries analysis\, classification\, clustering. But default R is not executed
  in parallel and consequently - for huge datasets or for extensive calcula
 tions - the analysis of your data can be quite slow.\n\nIn this course\, w
 hich 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 cod
 es on Tegner\, which is a high-performance computing (HPC) cluster at PDC.
 \n\nFor registration to this event please visit the PDC webpage: https://w
 ww.pdc.kth.se/about/events/analyzing-data-in-an-hpc-environment-using-r-1.
 1057170\nhttps://events.prace-ri.eu/event/1190/
SUMMARY:Analyzing data in an HPC environment using R @SNIC
URL;VALUE=URI:https://events.prace-ri.eu/event/1190/
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