- First of all, have a look at the chapter First steps on the clusters
- Then, get the R scripts example from our c4science repository
(Method to get those scripts explained at first step)
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This part below is out-dated |
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Running R from SLURM
R is compiled with Intel Compilers and MKL.
The SLURM script calling an R script should look like this:
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#!/bin/bash -l #SBATCH --nodes 1 #SBATCH --ntasks 1 #SBATCH --cpus-per-task 1 #SBATCH --mem 60000 #SBATCH --time 00:05:00 echo STARTING AT `date` module purge module load intel intel-mkl module load r srun R CMD BATCH ./rscript.R echo FINISHED at `date` |
...where rscript.sh
is executable (chmod +x rscript.sh
) and begins with the line
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#!/usr/bin/env Rscript |
Installing packages within R
To allow proper compilation with Intel compilers, create the ~/.R/Makevars file with the following content:
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CC=icc CXX=icpc FC=ifort F77=ifort |
Packages requiring libcurl
Libcurl is available via the curl module. Just load it before running R with
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module load curl |
Installing SparkR
You will first need to load the following modules
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module load intel intel-mkl module load r curl spark |
Then, you can launch R and do the following
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install.packages("devtools") devtools::install_github('apache/spark@v2.0.2', subdir='R/pkg') |