[R] R Job taking longer in Linux than in Windows

[Uwe Ligges]

On 02.08.2013 22:14, alina andrei wrote:
> Hello,
>
> I am running an R job on a Windows 7 machine, having 4 cores and 16GB RAM , R 3.0.1, and it takes 1.5 hours to complete.
> I am running the same job in R on a Linux enviroment (Platform: x86_64-redhat-linux-gnu (64-bit))
> with huge amounts of memory: 40 cores and .5 TB RAM., and the job takes 3h and 15min
> to complete (no other concurrent jobs).  The job uses the glmnet package to perform model selection on a simulated data set having 1 million records and 150 variables.
> My questions are:
> 1. Why R doesn't take advantage of the avaialble RAM?
> 2. Are there any changes that we can apply to the R configuration file in order to see superior performance? My expectations are that the Linux enviroment would performe a lot better when compared to the Windows enviroment.
>

Probably the problem has not been parallelized and uses only 1 core? And 
1 core on your Linux machine is probably slower than one core of your 
Windows machine? Or the different machines have different loads?

Uwe Ligges


> Any help in sorting out these issues is much appreciated.
>
> Thank you in advance!
> Alina
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