Full course description
Containerization is an OS-level virtualization method used
to deploy and run distributed applications without launching an entire virtual
machine for each app. Containers are
"stand-alone", enabling workflows to be easily packaged and shared
across platforms, enhancing reproducibility and portability. This hands-on tutorial will provide an
introduction to containers and the basics of running scientific workflows in
containers using Singularity on high-performance computing platforms.
Additionally, we will present a use case using containers within a parallel R
Date/Time: August 9, 9:00 AM - 3:00 PM
- 9:00a-12:00p: Containerization (with Andy Monaghan, University of Colorado Boulder)
- 12:00p-1:00p: Lunch break (meal not provided)
- 1:00p-3:00p: Basic parallelization in R (with Tim Kaiser, Colorado State University)
- 3:00p-4:00p: Q&A
Location: Information Technology Center,
Instructor: Dylan Perkins, UW ARCC
- This course will be broadcast via Zoom, but in-person participation is recommended. Contact email@example.com to request Zoom information.
- Send questions regarding this course to firstname.lastname@example.org
- Please make sure to arrive at least 5 minutes before the class is scheduled to begin.