Hi;
The multi partition bug was fixed. Data collection and output parts of
the code are now separated. This release is tagged as v0.1.
If you tried the spart command, I would be grateful if you send me the
output of the "./spart -m" command in your cluster, so I can see how
it works in different environments.
Thank you;
Ahmet M.
On 28.03.2019 16:03, Jeffrey Frey wrote:
Just FYI, there's one minor issue with spart: for pending jobs, the
"partition" parameter can be a comma-separated list of partitions and
not just a single partition name
If the job can use more than one partition, specify their names
in a comma separate list and the one
offering earliest initiation will be used with no regard given to
the partition name ordering (although
higher priority partitions will be considered first). When the
job is initiated, the name of the par‐
tition used will be placed first in the job record partition string.
So the code that identifies to which partition a pending job belongs
may not work properly:
strncmp(
part_buffer_ptr->partition_array[j].name,
job_buffer_ptr->job_array[i].partition,
strlen (part_buffer_ptr->partition_array[j].name)) == 0
This can also produce incorrect matches if a cluster has partitions
with overlapping names: e.g. for a job requesting partition
"large_smp" the code above would evaluate to true for a partition
named "large". And if the user had requested
sbatch --partition small --partition medium --partition large ...
then it would only include the pending CPU counts on the "small"
partition.
If your cluster has no overlap between partition names and users do
not submit jobs against multiple partitions, the program will work fine.
On Mar 27, 2019, at 5:51 AM, mercan <ahmet.mer...@uhem.itu.edu.tr
<mailto:ahmet.mer...@uhem.itu.edu.tr>> wrote:
Hi;
Except sjstat script, Slurm does not contains a command to show
user-oriented partition info. I wrote a command. I hope you will find
it useful.
https://github.com/mercanca/spart
Regards,
Ahmet M.
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Jeffrey T. Frey, Ph.D.
Systems Programmer V / HPC Management
Network & Systems Services / College of Engineering
University of Delaware, Newark DE 19716
Office: (302) 831-6034 Mobile: (302) 419-4976
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