RE: Placing the full pathname of the job stdout in an environment variable
Would others find it useful if new variables were added that contained the full
pathnames of the standard input, error and input files of batch jobs?
## SYNOPSIS
Proposed new environment variables SLURM_STDOUT,SLURM_STDE
u are trying to achieve:
>> https://slurm.schedmd.com/gres.html#MPS_Management
>>
>>
>>
>> I agree with the first paragraph. How many GPUs are you expecting each
>> job to use? I'd have assumed, based on the original text, that each job is
>> supposed to use 1
Looks like the slurm user does not exist on the system.
Did you run the slurmctld and slurmdbd before as root ?
If you remove the two lines (User, Group), the services will start.
But is is recommended to create a dedicated slurm user for that:
https://slurm.schedmd.com/quickstart_admin.html#daemon
Hi all,
I am having some issue with the new version of slurm 23.11.0-1.
I had already installed and configured slurm 23.02.3-1 on my cluster and
all the services were active and running properly.
After I install with the same procedure the new version of slurm I have that
the slurmctld and slurm
Maybe also post the output of scontrol show job to check the other
resources allocated for the job.
On Thu, Jan 18, 2024, 19:22 Kherfani, Hafedh (Professional Services, TC) <
hafedh.kherf...@hpe.com> wrote:
> Hi Ümit, Troy,
>
>
>
> I removed the line “#SBATCH --gres=gpu:1”, and changed the sba
+1 on checking the memory allocation.
Or add/check if you have any DefMemPerX set in your slurm.conf
On Fri, Jan 19, 2024 at 12:33 AM mohammed shambakey
wrote:
> Hi
>
> I'm not an expert, but is it possible that the currently running jobs is
> consuming the whole node because it is allocated the
Recently, i have built an hpc cluster with slurm as workload. The test
jobs with quatum chemistry codes have worked fine. However, production
jobs with lammps have shown an unexpected behavior when the first job
completed, normally or not, cause the termination of the others in the
same compute
Hi
I'm not an expert, but is it possible that the currently running jobs is
consuming the whole node because it is allocated the whole memory of the
node (so the other 2 jobs had to wait until it finishes)?
Maybe if you try to restrict the required memory for each job?
Regards
On Thu, Jan 18, 20