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Addressing the Scientific Reproducibility Crisis with Singularity

Michael Bauer from Sylabs.IO

In this video from the Perth HPC Conference, Michael Bauer from Sylabs presents: Addressing the Scientific Reproducibility Crisis with Singularity.

Containers provide the means to encapsulate an application, its dependencies, data, and configurations, that allows for full mobility and reproducibility of the software stack. Containers have disrupted the Linux scene within the last few years because they have created a paradigm shift in what it means to package up and move applications and data.

Sylabs is the leader in secure, trusted, performance focused container solutions. The capabilities that we have created are revolutionary and unique within the industry purposely built to address some of the shortcomings and flaws within the current container technologies. On top of that, we have created a series of commercially accessible value adds for traditional simulation, artificial intelligence, edge computing, on-ramping to the cloud, multi-cloud, edge, and core infrastructure management.

Michael Bauer is a senior software engineer at Sylabs, who’s an expert in Linux container technologies. At Sylabs, he’s the lead engineer of the core services team, providing technical oversight and direction over products such as Singularity, SingularityPRO, and various Kubernetes integrations. Michael has been involved with the Singularity open source project for almost three years, first as a contributor and now as a project lead and maintainer. He’s given talks about Singularity and Linux containers around the world at conferences such as ISC, SC, FOSDEM, and many others. Recently, he’s been exploring novel approaches to machine learning via container technology.

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