Hi,
With a partition with "OverSubscribe=FORCE" set, is there a way to request all the node resources? I see "--mem=0" does that for memory. But I do not see an option to request all the CPUs and GRES/TRES such as GPUs. I tried "--nodes=1 --ntasks=1 --cpus-per-task=0", but "--cpus-per-task=0" does not do the same thing as "--mem=0".
In other words, is it possible to have a queue where nodes can be shared between jobs, but have a simple way for an sbatch script to request the full node with all its memory, cpus, and other resources? We have a heterogeneous cluster, so telling users (or jupyterhub scripts) to list exactly the resources they want doesn't really work.
thanks, dustin
Hi,
Could --exclusive ( [ https://slurm.schedmd.com/sbatch.html#OPT_exclusive | https://slurm.schedmd.com/sbatch.html#OPT_exclusive ] ) do the trick?
Guillaume
De: "Dustin Lang via slurm-users" slurm-users@lists.schedmd.com À: "Slurm User Community List" slurm-users@lists.schedmd.com Envoyé: Lundi 30 Mars 2026 16:12:11 Objet: [slurm-users] Shared queue: how to request full node with all resources?
Hi,
With a partition with "OverSubscribe=FORCE" set, is there a way to request all the node resources? I see "--mem=0" does that for memory. But I do not see an option to request all the CPUs and GRES/TRES such as GPUs. I tried "--nodes=1 --ntasks=1 --cpus-per-task=0", but "--cpus-per-task=0" does not do the same thing as "--mem=0".
In other words, is it possible to have a queue where nodes can be shared between jobs, but have a simple way for an sbatch script to request the full node with all its memory, cpus, and other resources? We have a heterogeneous cluster, so telling users (or jupyterhub scripts) to list exactly the resources they want doesn't really work.
thanks, dustin
Hi,
No, unfortunately -- "the partition's *OverSubscribe* option takes precedence over the job's option"
Thanks for the suggestion, though! -dustin
On Mon, Mar 30, 2026 at 10:33 AM Guillaume COCHARD < guillaume.cochard@cc.in2p3.fr> wrote:
Hi,
Could --exclusive ( https://slurm.schedmd.com/sbatch.html#OPT_exclusive ) do the trick?
Guillaume
*De: *"Dustin Lang via slurm-users" slurm-users@lists.schedmd.com *À: *"Slurm User Community List" slurm-users@lists.schedmd.com *Envoyé: *Lundi 30 Mars 2026 16:12:11 *Objet: *[slurm-users] Shared queue: how to request full node with all resources?
Hi,
With a partition with "OverSubscribe=FORCE" set, is there a way to request all the node resources? I see "--mem=0" does that for memory. But I do not see an option to request all the CPUs and GRES/TRES such as GPUs. I tried "--nodes=1 --ntasks=1 --cpus-per-task=0", but "--cpus-per-task=0" does not do the same thing as "--mem=0".
In other words, is it possible to have a queue where nodes can be shared between jobs, but have a simple way for an sbatch script to request the full node with all its memory, cpus, and other resources? We have a heterogeneous cluster, so telling users (or jupyterhub scripts) to list exactly the resources they want doesn't really work.
thanks, dustin
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Dustin Lang -
Guillaume COCHARD