Hi everyone, First message, I am trying find a good way or multiple ways to limit the usage of jobs per node or use of gpus per node, without blocking a user from submitting them.
Example. We have 10 nodes each with 4 gpus in a partition. We allow a team of 6 people to submit jobs to any or all of the nodes. One job per gpu; thus we can hold a total of 40 jobs concurrently in the partition. At the moment: each user usually submit 50- 100 jobs at once. Taking up all gpus, and all other users have to wait in pending.. What I am trying to setup is allow all users to submit as many jobs as they wish but only run on 1 out of the 4 gpus per node, or some number out of the total 40 gpus across the entire partition. Using slurm 18.08.3.. This is roughly our slurm scripts. #SBATCH --job-name=Name # Job name #SBATCH --mem=5gb # Job memory request #SBATCH --ntasks=1 #SBATCH --gres=gpu:1 #SBATCH --partition=PART1 #SBATCH --time=200:00:00 # Time limit hrs:min:sec #SBATCH --output=job _%j.log # Standard output and error log #SBATCH --nodes=1 #SBATCH --qos=high srun -n1 --gres=gpu:1 --exclusive --export=ALL bash -c "NV_GPU=$SLURM_JOB_GPUS nvidia-docker run --rm -e SLURM_JOB_ID=$SLURM_JOB_ID -e SLURM_OUTPUT=$SLURM_OUTPUT --name $SLURM_JOB_ID do_job.sh" Thomas Theis
