Firstly, let me take my hat off to all developers for a fine product. We
are testing SLURM for wider deployment within the firm and amazed at the
execution speed -- especially for our use case.
We have developed two map-reduce libraries for use with R and Python in
the SLURM environment, so execution speed is very important for us. The
way we want to use SLURM is simply throw any number of single-core jobs
at it and let the SLURM scheduler handle fair access without completely
obliterating larger jobs.
Let's say I have a user that has a list of 1000 entries that take ten
minutes each to complete. He may be taking up 80% of resources with
others using the rest. We want other new jobs to be able to filter up to
the top of the queue and interleave with the other jobs that were
submitted first.
I have set slurm.conf to use the multifactor priority plugin as follows:
PriorityDecayHalfLife = 00:10:00
PriorityFavorSmall = 0
PriorityMaxAge = 00:00:00
PriorityUsageResetPeriod = NONE
PriorityType = priority/multifactor
PriorityWeightAge = 0
PriorityWeightFairShare = 100000
PriorityWeightJobSize = 1000
PriorityWeightPartition = 0
PriorityWeightQOS = 0
I understand that since almost all jobs will be one CPU, that job size
will not affect the weight. But, I would expect fair share to have some
sort of impact.
When I execute the following I always see the same priority on all jobs
which is 2147483647. This number never changes:
sacct -a --fields=JobID,JobName,Account,State,Priority --state=r,s,pd
In order to accomplish what I am after, what is the best approach /
settings?
Cheers,
--
Justin Cook
AHL Research & Trading Systems
Technology Group
Man Investments
5th Floor, Sugar Quay, Lower Thames St, London, EC3R 6DU
Office: +44 (0) 20 7144 3744
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Danny