Using GPUs with Slurm

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This is not a complete article: This is a draft, a work in progress that is intended to be published into an article, which may or may not be ready for inclusion in the main wiki. It should not necessarily be considered factual or authoritative.

GPU Hardwares and Node Types

# of Nodes	Node Type	CPU Cores	CPU Memory	# of GPUs	GPU Type	PCIe Bus Topology
114	Cedar Base GPU Node	24	128GB	4	NVIDIA P100-PCIE-12GB	Two GPUs per CPU socket
32	Cedar Large GPU Node	24	256GB	4	NVIDIA P100-PCIE-16GB	All GPUs under same CPU socket
160	Graham Base GPU Node	32	128GB	2	NVIDIA P100-PCIE-12GB	One GPU per CPU socket

Single GPU Jobs

Serial Jobs

File : one_gpu_serial_job.sh

#!/bin/bash
#SBATCH --account=def-someuser
#SBATCH --gres=gpu:1              # request GPU "generic resource"
#SBATCH --mem=4000M               # memory per node
#SBATCH --time=0-05:00            # time (DD-HH:MM)
#SBATCH --output=%N-%j.out        # %N for node name, %j for jobID
nvidia-smi

Multi-threaded Jobs

File : one_gpu_threaded_job.sh

#!/bin/bash
#SBATCH --account=def-someuser
#SBATCH --gres=gpu:1              # request GPU "generic resource"
#SBATCH --cpus-per-task=6         # CPU cores/threads
#SBATCH --mem=4000M               # memory per node
#SBATCH --time=0-05:00            # time (DD-HH:MM)
#SBATCH --output=%N-%j.out        # %N for node name, %j for jobID
export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK
nvidia-smi

MPI Jobs

File : one_gpu_mpi_job.sh

#!/bin/bash
#SBATCH --account=def-someuser
#SBATCH --gres=gpu:1              # Number of GPUs per node
#SBATCH --nodes=1
#SBATCH --ntask=6                 # Number of MPI ranks
#SBATCH --cpus-per-task=1         # CPU cores per MPI rank
#SBATCH --mem=4000M               # memory per node
#SBATCH --time=0-05:00            # time (DD-HH:MM)
#SBATCH --output=%N-%j.out        # %N for node name, %j for jobID
export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK
nvidia-smi

Message Passing Interface