Haars0011: Phase 1 § 4 P1.4.2: split Partitions / Queues out of Using Slurm § Queues (via create-page on MediaWiki MCP Server)

2026-06-16T09:06:55Z

Phase 1 § 4 P1.4.2: split Partitions / Queues out of Using Slurm § Queues (via create-page on MediaWiki MCP Server)

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The SLURM scheduler on Anunna divides compute nodes into separate '''partitions''' (sometimes called queues). When you submit a job, you choose which partition it runs in by setting <code>--partition</code> on your sbatch script.

== Available partitions ==

* '''main''' — the default partition for CPU jobs. Use this unless you have a specific reason to pick another.
* '''gpu''' — for jobs that need NVIDIA GPUs.
* '''gpu_amd''' — for jobs that need AMD GPUs.

To see the partitions currently available on the cluster, run:

<syntaxhighlight lang="bash">
sinfo
</syntaxhighlight>

This lists every partition together with its state and the nodes that belong to it.

== Selecting a partition ==

The default partition is '''main'''. If you don't specify <code>--partition</code>, your job runs there. To select a different one, add a directive to your sbatch script:

<syntaxhighlight lang="bash">
#SBATCH --partition=gpu
</syntaxhighlight>

For GPU partitions you also need to request the GPU itself as a generic resource — see [[Choosing a node (constraints)]] for the details.

== See also ==

* [[Choosing a node (constraints)]]
* [[Using Slurm | Scheduler overview]]

Partitions / Queues - Revision history

Haars0011: Phase 1 § 4 P1.4.2: split Partitions / Queues out of Using Slurm § Queues (via create-page on MediaWiki MCP Server)