That is correct. You need to set the TRESBillingWeight to get billing
for gpus.
-Paul Edmon-
On 12/10/2025 9:04 AM, Massimo Sgaravatto via slurm-users wrote:
Dear all
I have these settings in my slurm.conf:
PriorityType=priority/multifactor
PriorityDecayHalfLife=7-0
PriorityFavorSmall=NO
PriorityMaxAge=10-0
PriorityWeightAge=100000
PriorityWeightFairshare=1000000
PriorityWeightJobSize=100000
PriorityWeightPartition=100000
PriorityWeightQOS=100000
PriorityFlags=ACCRUE_ALWAYS,FAIR_TREE
AccountingStorageTRES=gres/gpu,gres/gpu:nvidia-h100,gres/gpu:nvidia-l40s
If I have got it right, with these settings, when calculating the
Job_priority (I am referring to the formula in
https://slurm.schedmd.com/priority_multifactor.html) the
fair-share_factor is calculated only considering cores*seconds. So if
a job also used some GPUs, this is not taken into account. Am I right ?
If I want to take memory and GPUs into account as well (with different
weights for different GPU models), my understanding is that I should
use the TRESBillingWeights attribute, setting e.g:
TRESBillingWeights="CPU=1.0,Mem=0.25G,gres/gpu=nvidia-h100=10.0,gres/gpu=nvidia-l40s=5.0"
Is this correct ?
Thanks, Massimo
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