Difference between revisions of "Choosing QOS for a Job"

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==Choosing QOS for a Job==
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Back to [[Account and QOS limits under SLURM]]
 
When choosing between the high-priority investment QOS and the 9x larger low-priority burst QOS, you should start by considering the overall resource requirements for the job. For smaller allocations the investment QOS may not be large enough for some jobs, whereas for other smaller jobs the wait time in the burst QOS could be too long. In addition, consider the current state of the account you are planning to use for your job.
 
When choosing between the high-priority investment QOS and the 9x larger low-priority burst QOS, you should start by considering the overall resource requirements for the job. For smaller allocations the investment QOS may not be large enough for some jobs, whereas for other smaller jobs the wait time in the burst QOS could be too long. In addition, consider the current state of the account you are planning to use for your job.
  

Revision as of 01:23, 26 February 2023

Back to Account and QOS limits under SLURM When choosing between the high-priority investment QOS and the 9x larger low-priority burst QOS, you should start by considering the overall resource requirements for the job. For smaller allocations the investment QOS may not be large enough for some jobs, whereas for other smaller jobs the wait time in the burst QOS could be too long. In addition, consider the current state of the account you are planning to use for your job.

For any individual jobs submitted to the Burst QOS we do not guarantee that they will ever start, although historical data shows that burst jobs do start and provide significant additional throughput to groups that use them correctly as 'long queues' i.e.
  • Submit only non-time-critical jobs to the Burst QOS.
  • Parallelize analyses to make sure they can run within the 4-day window.
  • Let the scheduler take its time to find unused resources to run burst jobs.
In summary, the Burst QOS is best handled in a "hands-off" fashion. If any of your analyses are time-critical then you should be submitting them to the appropriately sized investment qos.

To show the status of any SLURM account as well as the overall usage of HiPerGator resources, use the following command from the UFRC module:

$ module load ufrc
$ slurmInfo

for the primary account or

$ slurmInfo <account>

for another account

Example: $ slurmInfo ufgi:

----------------------------------------------------------------------
Allocation summary:    Time Limit             Hardware Resources
   Investment QOS           Hours          CPU     MEM(GB)     GPU
----------------------------------------------------------------------
             ufgi             744          150         527       0
----------------------------------------------------------------------
CPU/MEM Usage:                Running        Pending        Total
                       CPU   MEM(GB)    CPU   MEM(GB)    CPU   MEM(GB)
----------------------------------------------------------------------
     Investment (ufgi):   100      280     0        0   100      280
----------------------------------------------------------------------
HiPerGator Utilization
               CPU: Used (%) / Total        MEM(GB): Used (%) / Total
----------------------------------------------------------------------
        Total :  43643 (92%) / 47300    113295500 (57%) /   196328830
----------------------------------------------------------------------
* Burst QOS uses idle cores at low priority with a 4-day time limit

Run 'slurmInfo -h' to see all available options

The output shows that the investment QOS for the ufgi account is actively used. Since 100 CPU cores out of 150 available are used only 50 cores are available. In the same vein since 280GB out of 527GB in the investment QOS are used 247GB are still available. The ufgi-b burst QOS is unused. Te total HiPerGator use is 92% of all CPU cores and 57% of all memory on compute nodes, which means that there is little available capacity from which burst resources can be drawn. In this case a job submitted to the ufgi-b QOS would likely take a long time to start. If the overall utilization was below 80% it would be easier to start a burst job within a reasonable amount of time. When the HiPerGator load is high, or if the burst QOS is actively used, the investment QOS is more appropriate for a smaller job.