Difference between revisions of "SLURM Partition Limits"

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[[Category:Scheduler]][[Category:Infrastructure]]
 
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Different sets of hardware resources presented as SLURM partitions have individual time limits.
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Jobs can run on specific HiPerGator servers or nodes based on hardware requirements. Different sets of hardware configurations are presented as '''SLURM partitions'''. See also: [[Available Node Features]]
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==Time Limits==
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Partitions have individual time limits. Example of time limit configuration:
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#SBATCH --time=4-00:00:00      # Walltime in hh:mm:ss or d-hh:mm:ss
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==Interactive Work==
 
==Interactive Work==
 
Partitions: hpg-dev, gpu, hpg-ai
 
Partitions: hpg-dev, gpu, hpg-ai
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* Default: 10 min
 
* Default: 10 min
 
* Maximum: 14 days
 
* Maximum: 14 days
  <nowiki>*</nowiki> Note: the change from 7 to 14 days may be temporary. Our analysis of the GPU usage patterns allowed us to increase the maximum job time limit from the previous value of 7 days to the current value of 14 days, but if the resource utilization will approach levels that would prevent our ability to satisfy the investment QOS SLA the time limit will be adjusted downwards to prevent service level degradation.
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'''Note:''' There is '''no''' burst QOS for the gpu partitions.
  
 
==Compute Partitions==
 
==Compute Partitions==

Latest revision as of 19:55, 22 April 2024

Jobs can run on specific HiPerGator servers or nodes based on hardware requirements. Different sets of hardware configurations are presented as SLURM partitions. See also: Available Node Features

Time Limits

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)