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Getting Started with Containers on HPC

View this on the Tutorial Homepage.

HPC Containers Tutorial Session

Details

Full-day Tutorial Session

Venue: Supercomputing Conference (SC 24)

Location: Atlanta, GA, USA

Link: SC 2024 Tutorial Details

Keywords: Containerized HPC, System Software and Runtime Systems, Scientific Software Development, DevOps

Abstract

Within just the past few years, the use of containers has revolutionized the way in which industries and enterprises have developed and deployed computational software and distributed systems. The containerization model has gained traction within the HPC community as well with the promise of improved reliability, reproducibility, portability, and levels of customization that were previously not possible on supercomputers. This adoption has been enabled by a number of HPC Container runtimes that have emerged including Singularity, Shifter, Enroot, Charliecloud and others.

This hands-on tutorial looks to train users on the usability of containers on HPC resources. We will provide a detailed background on Linux containers, along with introductory hands-on experience building a container image, sharing the container and running it on a HPC cluster. Furthermore, the tutorial will provide more advanced information on how to run MPI-based and GPU-enabled HPC applications, how to optimize I/O intensive workflows, and how to setup GUI enabled interactive sessions. Cutting-edge examples will include machine learning and bioinformatics. Users will leave the tutorial with a solid foundational understanding of how to utilize containers with HPC resources through Shifter and Singularity, as well as an in-depth knowledge to deploy custom containers on their own resources.

Prerequisites

Please consult the website for prerequisites and recommended setup steps.

Questions

You can ask questions verbally or with this Google Doc. Please append your question below the others in the document.

We have also created a Slack Team for this. The invitation link is here.

Schedule - Autogenerated from the metadata