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