Using GPUs with Slurm: Difference between revisions

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For GPU jobs asking only single CPU core:  
For GPU jobs asking only single CPU core:  
{{File
{{File
   |name=one_gpu_serial_job.sh
   |name=gpu_serial_job.sh
   |lang="sh"
   |lang="sh"
   |contents=
   |contents=
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For GPU jobs asking for multiple CPUs in a single node:
For GPU jobs asking for multiple CPUs in a single node:
{{File
{{File
   |name=one_gpu_threaded_job.sh
   |name=gpu_threaded_job.sh
   |lang="sh"
   |lang="sh"
   |contents=
   |contents=
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== MPI Jobs ==
== MPI Jobs ==
{{File
{{File
   |name=one_gpu_mpi_job.sh
   |name=gpu_mpi_job.sh
   |lang="sh"
   |lang="sh"
   |contents=
   |contents=

Revision as of 18:33, 10 August 2017


This article is a draft

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[edit]

# 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

Serial Jobs[edit]

For GPU jobs asking only single CPU core:

File : gpu_serial_job.sh

#!/bin/bash
#SBATCH --account=def-someuser
#SBATCH --gres=gpu:1              # Number of GPU(s) per node
#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
./program


Multi-threaded Jobs[edit]

For GPU jobs asking for multiple CPUs in a single node:

File : gpu_threaded_job.sh

#!/bin/bash
#SBATCH --account=def-someuser
#SBATCH --gres=gpu:1              # Number of GPU(s) per node
#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
./program


MPI Jobs[edit]

File : gpu_mpi_job.sh

#!/bin/bash
#SBATCH --account=def-someuser
#SBATCH --gres=gpu:4              # Number of GPUs per node
#SBATCH --nodes=2                 # Number of Nodes
#SBATCH --ntask=48                # Number of MPI ranks
#SBATCH --cpus-per-task=1         # CPU cores per MPI rank
#SBATCH --mem=120G                # 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
srun ./program


Using Cedar's Large GPU nodes[edit]