Hi,
because of my real scenario (in mi first post I explained my testing scenario),
with several differents users of differents types (researchers, university
students and/or teachers, etc), I have distributed my GPUs in 3 differents
partitions:
* PartitionName=cuda-staff.q Nodes=gpu-[1-4] OverSubscribe=No
MaxTime=INFINITE State=UP AllocNodes=node[0-22],node-login,node-login-bak
AllowGroups=caos,profesor
* PartitionName=cuda-int.q Nodes=gpu-[2,4] OverSubscribe=No MaxTime=30:00
State=UP AllocNodes=node[0-22]
* PartitionName=cuda-ext.q Nodes=gpu-[1,3] OverSubscribe=No MaxTime=30:00
State=UP AllocNodes=node[0-22],node-login,node-login-bak
Explanation:
* In “cuda-staff.q”, only teachers could submit and they can submit from
each lab node or each login node.
* In “cuda-int.q” everybody can submit, but only from lab nodes.
* In “cuda-ex.q” everybody can also submit, but in this case, from lab
nodes and login nodes.
Since now, I have not used “QoS”... but I’m going to install a new data/user
server and I want to reconfigure SLURM. If I distributed GPUs in the way that
Gerhard Strangar explains (both similar RTX3080) in a partition with restricted
QoS and all other GPUs in other partition, some GPUs that now are restricted
for “inside lab user” will be accessible from “outside lab user”. So I think
(all teachers want this way ☹ ) I must have these partitions distribution.
However, if I apply a QoS limiting only one GPU in each partition. it woulb be
possible that a user could user one RTX3080 from outside lab and the other
RTX3080 from inside lab… and this is what I want to deny.
I will reread documentation.
All help will be appreciated, of course
Thanks.
--
slurm-users mailing list -- slurm-users@lists.schedmd.com
To unsubscribe send an email to slurm-users-le...@lists.schedmd.com
