So just to confirm, there is not inherent issue using srun within an SBATCH
file?
From: slurm-users [mailto:slurm-users-boun...@lists.schedmd.com] On Behalf Of
Ryan Novosielski
Sent: Wednesday, September 30, 2020 10:01 AM
To: Slurm User Community List
Subject: Re: [slurm-users] EXTERNAL: Re
First off, I want to thank everyone for their input and suggestions. They were
very helpful an ultimately pointed me in the right direction. I spent several
hours playing around with various settings.
Some additional background. When the srun command is used to execute this job,
we do not
n Behalf Of
Ryan Novosielski
Sent: Wednesday, September 30, 2020 10:01 AM
To: Slurm User Community List
Subject: Re: [slurm-users] EXTERNAL: Re: Memory per CPU
** This email has been received from outside the organization – Think before
clicking on links, opening attachments, or responding. **
Primary one I’m aware of is that resource use is better reported (or at all in
some cases) via srun, and srun can take care of MPI for an MPI job. I’m sure
there are others as well (I guess avoiding another place where you have to
describe the resources to be used and making sure they match, in
Here are the particulars asked for.
The following is the pertinent information for our cluster and the job run.
Note: server names, IP addresses and user IDs are anonymized.
Slurm.conf
==
TaskPlugin=task/affinity
# SCHEDULING
SchedulerType=s
There are three pieces of information that may provide Useful:
1 - these are VMs and not physical servers
2 - the OS is RedHat 7.8
2 - As far as I can tell, hyperthreading is not enabled, but will check for sure
3 - when we ask for 15Gb memory - we will only get 1 CPU
-Original Message-
F
The following is the pertinent information for our cluster and the job run.
Note: server names, IP addresses and user IDs are anonymized.
Slurm.conf
==
TaskPlugin=task/affinity
# SCHEDULING
SchedulerType=sched/backfill
SelectType=select/cons_
I am not familiar with using Slurm with VMs, but do note that Slurm can
behave a bit "unexpectedly" with memory constraints due to the memory
consumed by OS, etc.
E.g., if I had a 16 core machine with 64 GB of RAM and requested 16 cores
with 4 GB/core, it would not fit on this machine because some
