Well, if I am reading this right, it makes sense.
Every job will need at least 1 core just to run and if there are only 4
cores on the machine, one would expect a max of 4 jobs to run.
Brian Andrus
On 6/20/2024 5:24 AM, Arnuld via slurm-users wrote:
I have a machine with a quad-core CPU and an Nvidia GPU with 3500+
cores. I want to run around 10 jobs in parallel on the GPU (mostly
are CUDA based jobs).
PROBLEM: Each job asks for only 100 shards (runs usually for a minute
or so), then I should be able to run 3500/100 = 35 jobs in
parallel but slurm runs only 4 jobs in parallel keeping the rest in
the queue.
I have this in slurm.conf and gres.conf:
# GPU
GresTypes=gpu,shard
# COMPUTE NODES
PartitionName=pzero Nodes=ALL Default=YES MaxTime=INFINITE State=UP`
PartitionName=pgpu Nodes=hostgpu MaxTime=INFINITE State=UP
NodeName=hostgpu NodeAddr=x.x.x.x Gres=gpu:gtx_1080_ti:1,shard:3500
CPUs=4 Boards=1 SocketsPerBoard=1 CoresPerSocket=4 ThreadsPerCore=1
RealMemory=64255 State=UNKNOWN
----------------------
Name=gpu Type=gtx_1080_ti File=/dev/nvidia0 Count=1
Name=shard Count=3500 File=/dev/nvidia0
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