slurm-jupyter-kernel 1.1

Starting a jupyter kernel using srun

Slurm Jupyter Kernel

Create jupyter kernels and run kernels using srun

Jupyter Notebook/JupyterHub should have direct access to the compute nodes, so it is a good idea to install JupyterHub on a front end of the HPC system.

If you are an HPC user, you can also install the Python packages notebook and slurm_jupyter_kernel with the prefix --user into your home directory.

slurmkernel is able to connect to a kernel started on a compute node using SSH port forwarding. To allow users to access the compute node without a password, the following PAM module should have been configured:

https://slurm.schedmd.com/pam_slurm_adopt.html

Installation

Install using pip

python3 -m pip install slurm_jupyter_kernel

Create a new kernel

If you do not specify a keyfile with --keyfile it will automatically create a SSH keyfile in {home}/.ssh/{username}_jupslurm at start time. The public part will be append to the authorized_keys file.

Get help

$ slurmkernel --help

usage: Adding jupyter kernels using slurm [-h] {create} ...

positional arguments:
  {create}
    create    create a new slurm kernel

optional arguments:
  -h, --help  show this help message and exit

Example

$ slurmkernel create --displayname="Python 3.8.2" --account=hpc-group --time=00:30:00 --kernel-cmd="python3 -m ipykernel_launcher -f {connection_file}" --partition=batch

Try to create new jupyter slurm kernel "Python 3.8.2" ...
{
  "argv": [
    "/usr/bin/python3",
    "-m",
    "slurm_jupyter_kernel",
    "--partition",
    "batch",
    "--account",
    "hpc-group",
    "--time",
    "00:30:00",
    "--kernel-cmd",
    "python3 -m ipykernel_launcher -f {connection_file}",
    "--connection-file",
    "{connection_file}"
  ],
  "display_name": "SLURM Python 3.8.2"
}

Successfully created kernel "SLURM Python 3.8.2" :-)