Hello
We added some newer Epyc nodes, with NVMe scratch, to our cluster and so want
jobs to run on these over others. So we added "Weight=100" to the older nodes
and left the new ones blank. So indeed, ceteris paribus, srun reveals that the
faster nodes will accept jobs over older ones.
We h
The intention there is to pack jobs on the smallest node that can handle
the job.
This way jobs that only need 1 cpu don't take it from a 64-core node
unless it has to, leaving that one available for that 64-core job.
It really boils down to what you want to happen, which will vary with
eac
I believe this is so that small jobs will naturally go on older, slower nodes
first - leaving the bigger,better ones for jobs that actually need them.
Merlin
--
Merlin Hartley
IT Support Engineer
MRC Mitochondrial Biology Unit
University of Cambridge
Cambridge, CB2 0XY
United Kingdom
> On 5 Sep
Hello Doug,
tp quote the slurm.conf page:
It would be preferable to allocate smaller memory nodes rather than
larger memory nodes if either will satisfy a job's requirements.
So I guess the idea is, that if a smaller node satisfies all
requirements, why 'waste' a bigger one for it? It makes sense
Anyone know if the new GPU support allows having a different number of GPUs per
node?
I found:
https://www.ch.cam.ac.uk/computing/slurm-usage
Which mentions "SLURM does not support having varying numbers of GPUs per node
in a job yet."
I have a user with a particularly flexible code that would
On 8/13/19 10:44 PM, Barbara KraĊĦovec wrote:
We still have the gres configuration, users have their workload scripted
and some still use sbatch with gres. Both options work.
I missed this before Barbara, sorry - that's really good to know that
the options aren't mutually exclusive, thank you!
On 9/5/19 3:49 PM, Bill Broadley wrote:
I have a user with a particularly flexible code that would like to run a single
MPI job across
multiple nodes, some with 8 GPUs each, some with 2 GPUs.
Perhaps they could just specify a number of tasks with cpus per task,
mem per task and GPUs per task
