Public | Automated Build

Last pushed: 2 years ago
Short Description
Slurm scheduler running as a controller and worker
Full Description

Agave DevOps Slurm Container

This is a development install of the Slurm scheduler running as a controller and worker. This image can be treated like a single node cluster for testing purposes.

What is Slurm

Slurm is an open-source cluster resource management and job scheduling system that strives to be simple, scalable, portable, fault-tolerant, and interconnect agnostic. SLURM currently has been tested only under Linux.

As a cluster resource manager, SLURM provides three key functions. First, it allocates exclusive and/or non-exclusive access to resources (compute nodes) to users for some duration of time so they can perform work. Second, it provides a framework for starting, executing, and monitoring work (normally a parallel job) on the set of allocated nodes. Finally, it arbitrates conflicting requests for resources by managing a queue of pending work.

For more information on Slurm, consult the official website.

What's inside

This development container will create an admin user and three users for testing.


How to use this image

To run the container

docker run -h \
-p 10022:22 \ # SSHD, SFTP
--rm -d --name slurm \

This will start the container with a supervisor process which will run a sshd server on exposed port 22 and the Slurm scheduler running as both a controller and worker node.

To submit jobs

You will need to create an interactive session in order to run jobs in this container. There are two ways to do this.

  • First, you can start a container with the default command and ssh in.

    docker run -h -p 10022:22 --rm -d --name slurm agaveapi/slurm
    ssh -p 10022

  • Second, you can run an interactive container and start the services yourself.

    docker run -h -p 10022:22 --rm -d --name slurm agaveapi/slurm bash
    bash-4.1# /usr/bin/supervisord &

In either situation, once you have a session in the container, you can submit jobs using the sbatch command. A test script is included in the image at /home/testuser/slurm.submit. You can submit this script to verify the
scheduler is working properly.

sbatch /home/testuser/slurm.submit

How to build the image

Build from this directory using the enclosed Dockerfile

docker build -rm -t agaveapi/slurm .

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