We share our 28-core gpu nodes with non-gpu jobs through a set of ‘any’ partitions. The ‘any’ partitions have a setting of MaxCPUsPerNode=12, and the gpu partitions have a setting o MaxCPUsPerNode=16. That’s more or less documented in the slurm.conf documentation under “MaxCPUsPerNode”.
From: slurm-users <slurm-users-boun...@lists.schedmd.com> on behalf of Ahmad Khalifa <underoath...@gmail.com> Reply-To: Slurm User Community List <slurm-users@lists.schedmd.com> Date: Wednesday, September 30, 2020 at 3:13 PM To: "slurm-users@lists.schedmd.com" <slurm-users@lists.schedmd.com> Subject: [slurm-users] Running gpu and cpu jobs on the same node External Email Warning This email originated from outside the university. Please use caution when opening attachments, clicking links, or responding to requests. ________________________________ I have a machine with 4 rtx2080ti and a core i9. I submit jobs to it through MPI PMI2 (from Relion). If I use 5 MPI and 4 threads, then basically I'm using all 4 GPUs and 20 threads of my cpu. My question is, my current configuration allows submitting jobs to the same node, but with a different partition, but I'm not sure if I use #SBATCH --partition=cpu that the submitted jobs will only use the remaining 2 cores (4 threads) or is it going to share resources with my gpu job?! Thanks.
