Making your computational science reproducible with containers

This workshop is a hands-on tutorial on Docker and Singularity. Docker is the most popular and user friendly platform for running and managing Linux containers. Singularity is a platform for deploying light-weight containers for HPC systems.

Register

Linux containers, with the build-once-run-anywhere approach, are becoming popular among scientific communities for software packaging and sharing. Docker is the most popular and user friendly platform for running and managing Linux containers. Singularity is a platform for deploying light-weight containers for HPC systems. This workshop is mainly a hands-on tutorial that is organized as follows:

  • Overview of the Linux containers technology
  • Installing Docker
  • Building and managing Docker containers
  • Service oriented architecture, SOA, with Docker (Docker Compose)
  • Docker for the cloud (Docker Swarm)
  • Installing Singularity
  • Building and managing Singularity containers (from Docker containers)
  • Singularity for HPC (MPI and GPU)

Learning outcomes

Participants will:

  • Install Docker and singularity
  • Pull, run, and manage Docker containers
  • Build their own Docker images
  • Run a basic Docker swarm cluster
  • Run a basic SOA with Docker compose (e.g. web server + database server)
  • Convert Docker containers to singularity
  • Run and manage singularity containers
  • Run simple HPC jobs with singularity

Prerequisites

Basic knowledge of Linux. It is recommended to attend the SSH workshop in advance, if needed.

Please bring a laptop with SSH access. For Windows, PUTTY needs to be installed.

Target audience

 Open for all, but mainly for researchers and post graduate students.

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Published Dec. 13, 2019 1:55 PM - Last modified Dec. 13, 2019 3:31 PM