> 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.
I have 3500+ GPU cores available. You mean each GPU job requires at least one CPU? Can't we run a job with just GPU without any CPUs? This sbatch script requires 100 GPU cores, can;t we run 35 in parallel? #! /usr/bin/env bash #SBATCH --output="%j.out" #SBATCH --error="%j.error" #SBATCH --partition=pgpu #SBATCH --gres=shard:100 sleep 10 echo "Current date and time: $(date +"%Y-%m-%d %H:%M:%S")" echo "Running..." sleep 10 On Thu, Jun 20, 2024 at 11:23 PM Brian Andrus via slurm-users < slurm-users@lists.schedmd.com> wrote: > 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 > > > > > > > > -- > slurm-users mailing list -- slurm-users@lists.schedmd.com > To unsubscribe send an email to slurm-users-le...@lists.schedmd.com >
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