Thank you Thomas for your suggestion. I take note of all the people’s comment 
and hope to come with a good solution.

_____________________________________________________________________________________________________

Eric F.  Alemany
System Administrator for Research

Division of Radiation & Cancer  Biology
Department of Radiation Oncology

Stanford University School of Medicine
Stanford, California 94305

Tel:1-650-498-7969<tel:1-650-498-7969>  No Texting
Fax:1-650-723-7382<tel:1-650-723-7382>



On May 10, 2018, at 10:32 AM, Thomas M. Payerle 
<paye...@umd.edu<mailto:paye...@umd.edu>> wrote:

Assuming you plan for users to use R in jobs, it will need to be accessible to 
the execute/compute nodes.
I would usually suggest on a shared drive.   Although it should be OK if 
locally installed on each compute
node (probably want at same exact path and with same R packages installed).  
Presumably you would
also want it available on the login nodes (users tend to like to see what 
software is installed, etc).  I do not believe
R is needed on the headnode (the one running the scheduler) unless that also 
serves as the login node.

The situation for python would be the same, except that I do not recall if the 
slurm daemons or utilities want
python (if so, you would need it on the head node, but would not need science 
related packages like numpy/scipy).




On Thu, May 10, 2018 at 11:35 AM, Eric F. Alemany 
<ealem...@stanford.edu<mailto:ealem...@stanford.edu>> wrote:
Hi All,

I know this might sounds as a very basic question: where in the cluster should 
I install Python and R?
Headnode?
Execute nodes ?

And is there a particular directory (path) I need to install Python and R.

Background:
SLURM on Ubuntu 18.04
1 headnode
4 execute nodes
NFS shared drive among all nodes.

Thank you all for your help.

Best,
Eric

._____________________________________________________________________________________________________

Eric F.  Alemany
System Administrator for Research

Division of Radiation & Cancer  Biology
Department of Radiation Oncology

Stanford University School of Medicine
Stanford, California 94305

Tel:1-650-498-7969<tel:1-650-498-7969>  No Texting
Fax:1-650-723-7382<tel:1-650-723-7382>



--
Tom Payerle
DIT-ACIGS/Mid-Atlantic Crossroads        paye...@umd.edu<mailto:paye...@umd.edu>
5825 University Research Park               (301) 405-6135
University of Maryland
College Park, MD 20740-3831

Reply via email to