Minnesota Supercomputing Institute
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.
NOTE: For the Spring 2022 session of this tutorial, the session will NOT be delievered live. Registrations on this page will instead be for a live Q&A will be based on a previous recording. Information about the Q&A session will be emailed to registrants about a week for the session date.
Online instruction via Zoom
Joining instructions will be provided by this tutorial's organizer