SLURM Partition Limits: Difference between revisions

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Different sets of hardware resources presented as SLURM partitions have individual time limits.
Different sets of hardware resources presented as SLURM partitions have individual time limits.
Example of time limit configuration:
#SBATCH --time=4-00:00:00      # Walltime in hh:mm:ss or d-hh:mm:ss
==Interactive Work==
==Interactive Work==
Partitions: hpg-dev, gpu, hpg-ai
Partitions: hpg-dev, gpu, hpg-ai

Revision as of 15:23, 4 October 2023

Different sets of hardware resources presented as SLURM partitions have individual time limits.

Example of time limit configuration:

  1. SBATCH --time=4-00:00:00 # Walltime in hh:mm:ss or d-hh:mm:ss


Interactive Work

Partitions: hpg-dev, gpu, hpg-ai

  • Default time limit if not specified (Default): 10 min
  • hpg-dev Maximum: 12 hours
  • gpu
    • Maximum: 12 hours for srun .... --pty bash -i sessions
    • Maximum: 72 hours for Jupyter sessions in Open OnDemand.
  • hpg-ai
    • Maximum: 12 hours for srun .... --pty bash -i sessions

Jupyter

  • JupyterHub: Sessions are preset with individual limits shown in the menu
  • JupyterLab in Open OnDemand Maximum: 72 hours for the GPU partition, other partitions follow standard partition limits

GPU/HPG-AI Partitions

  • Default: 10 min
  • Maximum: 14 days

Note: There is no burst QOS for the gpu partitions.

Compute Partitions

Partitions
hpg-default, hpg2-compute, bigmem

Both the hpg-default and the hpg2-compute partitions are selected by default if no partition is specified for a job.

Investment QOS

  • Default: 10 min
  • Maximum: 31 days (744 hours)

Burst QOS

  • Default: 10 min
  • Maximum: 4 days (96 hours)

Hardware Accelerated GUI

Partition
hwgui
  • Default: 10 min
  • Maximum: 4 days (96 hours)