Minnesota Supercomputing Institute
This tutorial will feature a remote instructor (via Zoom) which can be viewed in person at 575 Walter Library. The room will have 1 or more assistant instructors. This sign-up is for one of 10 classroom chairs, if you would rather attend remotely, please sign up via the other Tutorial signup link.
In this tutorial you will learn about the data storage systems available for academic research at the University of Minnesota. An overview of the kinds of storage systems that are available, policies for getting access to them, a comparison of their characteristics, and examples of how they can be accessed will be presented. You will also be given an overview of how the characteristics of UMN storage will impact the stability and throughput of various applications and workflows. The tutorial will end by highlighting some examples of how UMN storage systems, data flows, and computation can be choreographed to allow applications to address much larger problems which enable qualitatively new analyses.