SLURM/Priority

SLURM at UMIACS is configured to prioritize jobs based on a number of factors, termed multifactor priority in SLURM. Each job submitted to the scheduler is assigned a priority value, which can be viewed in the output of scontrol show job <jobid>.

Example:

$ scontrol show job 1
JobId=1 JobName=bash
   UserId=username(13337) GroupId=username(13337) MCS_label=N/A
   Priority=10841 Nice=0 Account=nexus QOS=default
...

Pending Jobs

If the partition that you submit your job to cannot begin your job instantly due to no compute node(s) having the resources free to run it, your job will remain in the Pending state with the listed reason (Resources). If there is another job already pending with this reason, you submit a job to the same partition, and your job gets assigned a lower priority value than that pending job, your job will instead remain in the Pending state with reason (Priority). If there are multiple jobs pending and your job is not the highest priority job pending, the scheduler will only begin execution of your job if starting your job would not push the begin times for any higher priority jobs in the same partition further back.

Lowering some combination of the resources you are requesting and/or the time limit may allow submitted jobs to run more quickly or instantly during times where a partition is under resource pressure. The command squeue -j <jobid> --start can be used to provide a time estimate for when your job will start, where <jobid> is the job ID you receive from either srun or sbatch.

You can use the command alias show_available_nodes with a variety of different submission arguments to get a better idea of what jobs may be able to begin sooner, but the output of this command alias is not definitive, for reasons mentioned in the footnotes on the page linked to.

Priority Factors

The priority factors in use at UMIACS include:

• Age of job i.e. time spent waiting to run in the queue
• Association (SLURM account) being used
• Partition job was submitted to
• Fair-share of resources
• "Nice" value that job was submitted with

Age

The longer a job is eligible to run but cannot due to resources being unavailable, the higher the job's priority becomes as it continue to wait in the queue. This is the only priority modifier that can change a job's priority value once it has been submitted, and the priority modifier for this factor reaches its limit after 7 days.

Association

Some lab/center-specific SLURM accounts may have priority values directly attached to them. Jobs run under these accounts gain this many extra points of priority.

Partition

The partitions whose names are or are prefixed with scavenger on each of our clusters always have lower priority factors for their jobs than all other partitions on that cluster. As mentioned in other UMIACS cluster-specific documentation, jobs submitted to these partitions are also preemptable. These two design choices give the partitions their names; jobs submitted to scavenger named or prefixed partitions "scavenge" for available resources on the cluster rather than consume dedicated resources, and are interrupted by jobs asking to consume dedicated resources.

On Nexus, labs/centers may also have their own scavenger partitions (<labname>-scavenger) if the faculty for the lab/center have decided upon some sort of limit on jobs (number of simultaneous jobs, number of actively consumed billing resources, etc.) in their non-scavenger partitions. These lab/center scavenger partitions allow for more jobs to be run by members of that lab/center on that lab's/center's nodes only, but are preemptable by that lab's/center's non-scavenger partition jobs.

In decreasing order of priority (highest first), our priority tiers for partitions are:

1. Account-specific non-preemptable partitions
2. Lab/center-specific non-"scavenger" named partitions
3. Lab/center-specific "scavenger" named partitions
4. Institute-wide scavenger partitions

A job in a lower priority tier will never have a higher priority value than any job in any of the higher priority tiers.

Fair-share

The more resources your jobs have already consumed within an account, the lower priority factor your future jobs will have when compared to other users' jobs in the same account who have used fewer resources (so as to "fair-share" with other users). Additionally, if there are multiple accounts that can submit to a partition, and the sum of resources of all users' jobs within account A is greater than the sum of resources of all users' jobs within account B, the lower priority factor all future jobs from users in account A will have when compared to all future jobs from users in account B. (In other words, fair-share is hierarchical.)

You can view the various fair-share statistics with the command sshare -l. It will show your specific FairShare values (always between 0.0 and 1.0) within accounts that you have access to. You can also view other accounts' Level Fairshare (LevelFS).

Account                    User  RawShares  NormShares    RawUsage   NormUsage  EffectvUsage  FairShare    LevelFS                    GrpTRESMins                    TRESRunMins
-------------------- ---------- ---------- ----------- ----------- ----------- ------------- ---------- ---------- ------------------------------ ------------------------------
root                                          0.000000 68444174744                  1.000000                                                      cpu=4797787,mem=70530109515,e+
 root                      root          1    0.028571       14531    0.000000      0.000000   0.994949 1.3456e+05                                cpu=0,mem=0,energy=0,node=0,b+
 cbcb-heng                               1    0.028571  2041564795    0.029831      0.029831              0.957779                                cpu=107606,mem=2890646050,ene+
 cbcb                                    1    0.028571  4454658377    0.065046      0.065046              0.439246                                cpu=452139,mem=22276633804,en+
 class                                   1    0.028571   255617290    0.003733      0.003733              7.652841                                cpu=7021,mem=74554606,energy=+
 clip                                    1    0.028571  3057933838    0.044674      0.044674              0.639549                                cpu=33214,mem=2744443460,ener+
 cml-abhinav                             1    0.028571    39726437    0.000580      0.000580             49.220844                                cpu=0,mem=0,energy=0,node=0,b+
 cml-cameron                             1    0.028571           0    0.000000      0.000000                   inf                                cpu=0,mem=0,energy=0,node=0,b+
 cml-furongh                             1    0.028571   765366431    0.011183      0.011183              2.554814                                cpu=78802,mem=1513011200,ener+
 cml-hajiagha                            1    0.028571    12397205    0.000181      0.000181            157.726572                                cpu=0,mem=0,energy=0,node=0,b+
 cml-john                                1    0.028571      319756    0.000005      0.000005            6.1152e+03                                cpu=0,mem=0,energy=0,node=0,b+
 cml-ramani                              1    0.028571           0    0.000000      0.000000            1.3575e+11                                cpu=0,mem=0,energy=0,node=0,b+
 cml-scavenger                           1    0.028571  2564733604    0.037475      0.037475              0.762406                                cpu=370867,mem=3568986794,ene+
 cml-sfeizi                              1    0.028571    40715178    0.000595      0.000595             48.025548                                cpu=0,mem=0,energy=0,node=0,b+
 cml-tokekar                             1    0.028571    26458249    0.000387      0.000387             73.903937                                cpu=23240,mem=178488320,energ+
 cml-tomg                                1    0.028571       82800    0.000001      0.000001            2.3615e+04                                cpu=0,mem=0,energy=0,node=0,b+
 cml-wriva                               1    0.028571  1047428702    0.015305      0.015305              1.866828                                cpu=5366,mem=137386666,energy+
 cml-zhou                                1    0.028571   672692955    0.009829      0.009829              2.906778                                cpu=65977,mem=1080976998,ener+
 cml                                     1    0.028571    66866114    0.000975      0.000975             29.299389                                cpu=1796,mem=29426756,energy=+
 gamma                                   1    0.028571  2609474948    0.038129      0.038129              0.749334                                cpu=34089,mem=360373862,energ+
 mbrc                                    1    0.028571    73411964    0.001073      0.001073             26.635560                                cpu=1195,mem=4896358,energy=0+
 mc2                                     1    0.028571     2682557    0.000039      0.000039            728.919551                                cpu=0,mem=0,energy=0,node=0,b+
 nexus                                   1    0.028571  5472794067    0.079964      0.079964              0.357302                                cpu=278464,mem=3250599000,ene+
  nexus                username          1    0.000835       69666    0.000001      0.000021   0.457407  37.435501                                cpu=0,mem=0,energy=0,node=0,b+
 oasis                                   1    0.028571      330030    0.000005      0.000005            5.9248e+03                                cpu=0,mem=0,energy=0,node=0,b+
 quics                                   1    0.028571           4    0.000000      0.000000            4.1683e+08                                cpu=0,mem=0,energy=0,node=0,b+
 scavenger                               1    0.028571 40888195964    0.597419      0.597419              0.047825                                cpu=3142204,mem=29902903931,e+
  scavenger            username          1    0.000835         171    0.000000      0.000000   0.033975 9.8885e+04                                cpu=0,mem=0,energy=0,node=0,b+
 vulcan-abhinav                          1    0.028571  1742123078    0.025452      0.025452              1.122544                                cpu=26166,mem=781842841,energ+
 vulcan-djacobs                          1    0.028571      912637    0.000013      0.000013            2.1425e+03                                cpu=0,mem=0,energy=0,node=0,b+
 vulcan-jbhuang                          1    0.028571   283430750    0.004141      0.004141              6.898930                                cpu=172,mem=5661764,energy=0,+
 vulcan-lsd                              1    0.028571           0    0.000000      0.000000            3.5579e+15                                cpu=0,mem=0,energy=0,node=0,b+
 vulcan-metzler                          1    0.028571   262070179    0.003829      0.003829              7.461241                                cpu=0,mem=0,energy=0,node=0,b+
 vulcan-rama                             1    0.028571           0    0.000000      0.000000            1.6942e+14                                cpu=0,mem=0,energy=0,node=0,b+
 vulcan-ramani                           1    0.028571   681333557    0.009955      0.009955              2.869914                                cpu=22188,mem=568033280,energ+
 vulcan-yaser                            1    0.028571      397309    0.000006      0.000006            4.9215e+03                                cpu=0,mem=0,energy=0,node=0,b+
 vulcan-zwicker                          1    0.028571   133204932    0.001946      0.001946             14.679402                                cpu=0,mem=0,energy=0,node=0,b+
 vulcan                                  1    0.028571  1247236491    0.018224      0.018224              1.567761                                cpu=147273,mem=1161243818,ene+

The actual resource billing weights for the three main resources (memory per GB, CPU cores, and number of GPUs if applicable) are per-partition and can be viewed in the TRESBillingWeights line in the output of scontrol show partition. The billing value for a job is the sum of all resource weightings for resources the job has requested. This value is then multiplied by the amount of time a job has run in seconds to get the amount it contributes to the RawUsage for the association within the account it is running under.

The algorithm we use for resource weightings differs depending on if there are any GPUs in a partition or not, and is as follows:

GPU partitions

Each resource (memory/CPU/GPU) is given a weighting value such that their relative billings to each other within the partition are equal (33.33% each). Memory is typically always the most abundant resource by unit (weighting value of 1.0 per GB) and the CPU/GPU values are adjusted accordingly.

Different GPU types may also be weighted differently within the GPU relative billing. A baseline GPU type is first chosen. All GPUs of that type and other types that have lower FP32 performance (in TFLOPS) are given a weighting factor of 1.0. GPU types with higher FP32 performance than the baseline GPU are given a weighting factor calculated by dividing their FP32 performance by the baseline GPU's FP32 performance. The weighting values for each GPU type are then determined by normalizing the sum of all of GPU cards' billing values multiplied by their weighting factors against the relative billing percentage for GPUs (33.33%).

The current baseline GPU is the NVIDIA RTX A4000.

CPU-only partitions

Each resource (memory/CPU) is first given a weighting value such that their relative billings to each other within the partition are equal (50% each). Memory is typically always the most abundant resource by unit (weighting value of 1.0 per GB) and the CPU value is adjusted accordingly. The final CPU weight value is then divided by 10, which ends up translating to roughly 90.9% of the billing weight being for memory and 9.1% being for CPU. The division of the CPU value is done so as to not affect accounts' fair-share priority factors as much when running CPU-only jobs given the popularity of GPU computing.

Nice value

This is a submission argument that you as the user can include when submitting your jobs to deprioritize them. Larger values will deprioritize jobs more e.g.,

srun --pty --nice=2 bash

will have lower priority than

srun --pty --nice=1 bash

which will have lower priority than

srun --pty bash

assuming all three jobs were submitted at the same time. You cannot use negative values for this argument.