Introduction to Containers
Prerequisites
Working knowledge of Unix OS is required. Please follow the link to install docker locally on your laptop as we need to use it for some part of the begininng of this workshop. Details of using and accessing to the Vega cluster are given in Access to Vega section. Alternatively, you can use Play with Docker (PWD) if you don’t wish to (or can’t) install Docker locally.
5 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
|
10 min |
The lesson
- Introduction to Containers
- Introduction to Docker
- Namespaces and cgroups
- Cleaning Up Containers
- Creating your own container images
- Creating More Complex Container Images
- What is Singularity?
- Getting started with Singularity
- Images and containers
- Getting an image and running a Singularity container
- Working with Singularity containers
- Building Singularity images
- Running MPI parallel jobs using Singularity containers
Reference
Who is the course for?
Researchers and scientists who need controlled environments for running their applications. AI practitioners who wish to train their networks on HPCs.
About the course
This lesson material is developed by the EuroCC National Competence Center Sweden (ENCCS) and taught in ENCCS workshops. It aims at researchers and developers who have experience working with AI and wish to train their applications on supercomputers. The lesson material is licensed under CC-BY-4.0 and can be reused in any form (with appropriate credit) in other courses and workshops. Instructors who wish to teach this lesson can refer to the Instructor’s guide for practical advice.
See also
Docker provides plenty of educational materials for users. Therefore, checking Docker official website is highly recommended. The same can be stated about Singularity, where one can find many compelling examples with relevant details.
Credits
The lesson file structure and browsing layout is inspired by and derived from work by CodeRefinery licensed under the MIT license. We have copied and adapted most of their license text.
Materials from the below references have been used in various parts of this course.
The Carpentries lesson on “Reproducible Computational Environments Using Containers: Introduction to Docker and Singularity”
Instructional Material
This instructional material is made available under the Creative Commons Attribution license (CC-BY-4.0). The following is a human-readable summary of (and not a substitute for) the full legal text of the CC-BY-4.0 license. You are free to:
share - copy and redistribute the material in any medium or format
adapt - remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow these license terms:
Attribution - You must give appropriate credit (mentioning that your work is derived from work that is Copyright (c) Hossein Ehteshami and individual contributors and, where practical, linking to https://enccs.se), provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
With the understanding that:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Software
Except where otherwise noted, the example programs and other software provided with this repository are made available under the OSI-approved MIT license.