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Most recent tutorial recording for Job Submission and Scheduling at MSI

Description

In this tutorial you will learn about the data storage systems available for academic research at the Minnesota Supercomputing Institute and 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.

This tutorial will cover:

  • Research data storage available at MSI, and other options at UMN.
  • Policies for using these research data storage systems.
  • How to make use of data storage systems within a scientific discovery workflows

To be successful, you should have:

  • An active MSI account
  • Basic understanding of Linux 
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Enroll Now - Select a section to enroll in
Section Title
Data Storage Systems and Data Analysis Workflows
Type
Classroom
Days
Th
Time
1:00PM to 3:00PM
Dates
Feb 27, 2025
Campus
Twin Cities (US Central Time)
Building
Walter Library
Room
Room 575
Schedule and Location
Contact Hours
2.0
Delivery Options
Classroom  
Course Fee(s)
Course Fee $0.00
Section Details
This session will take place ONSITE in Walter 575.
Section Title
Data Storage Systems and Data Analysis Workflows
Type
Online, instructor led
Days
Th
Time
1:00PM to 3:00PM
Dates
Feb 27, 2025
Campus
Online (US Central Time)
Schedule and Location
Contact Hours
2.0
Location
  • Online (US Central Time)
Delivery Options
Instructor Led Online  
Course Fee(s)
Course Fee $0.00
Section Details
This session will take place ONLINE at the scheduled time. A Zoom link will be sent out prior to the tutorial.
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