Introduction to Containers for Reproducible Science
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In this talk, I will introduce the rationale behind containers, why they took off in the commercial world, why we as academics might be interested in them, and provide a quick demo of how they work. In brief, containers create a stable production environment for one's work. By abstracting away from the actual hardware the process is running on, one can deploy the same software to a local machine, or an HPC cluster, without needing to worry about OS differences, available package versions, etc. Additionally, providing a container recipe with a publication repository all but eliminates the possibility that your software fails when another scientist attempts to reproduce your results - however many years later!
Place: Math, 402 and Zoom: https://arizona.zoom.us/j/82075792519 Password: 150721