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UID:33ef497a-7f90-48c3-98ae-7d0eabe2812e@support.access-ci.org
DTSTAMP:20250606T122310Z
DTSTART:20251209T190000Z
DTEND:20251209T203000Z
SUMMARY:R for HPC
DESCRIPTION:SummaryExtended abstract: In the first session of this webinar,
  we will focus on the R package management and user environment configurat
 ion on the HPC cluster. We will learn how to run some basic built-in comma
 nds in the R Console or RStudio to list, install from source, update, and 
 remove R packages. We will also introduce how to install R packages with c
 onda, which is more convenient for building an isolated environment, but a
 lso has some limitations we need to be aware of. We will provide a few exa
 mples to configure the user environment to better use R or RStudio for HPC
 . Next, in the second session, we will focus on the R parallelization in H
 PC. We will provide a few examples of implicit parallelism in R, including
  the workflow of the R parallel package to generate the desired R processe
 s on a single node or multiple nodes, as well as a few related packages th
 at can parallelize and enhance the data importing and computing performanc
 e of R programs.InstructorYuwu Chen received his PhD from Louisiana State 
 University in chemical engineering with an emphasis on molecular dynamics 
 simulation of proteins. Yuwu’s key responsibility is to provide a high d
 egree of HPC customer support and professionalism to the research communit
 ies of UCSD and other institutions. He is a Singularity user and has provi
 ded Singularity user support for HPC users since 2019.See a full list of S
 DSC's upcoming training and events here.
URL:https://support.access-ci.org/events/8050
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