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Description

If you are a researcher that works in the Agri-food domain (e.g., breeder, molecular biologist, food scientist, socioeconomist), you know a little bit of programming (e.g., in R and/or Python), but you feel a little limited (e.g., some of your calculations run for days on your laptop), then you could benefit from this course. We wish to show you how to step up to the next level, improve your coding efficiency, and make use of High Performance Computing (HPC) and Cloud resources readily available to you.

Familiarity at a beginner level with a programming language (e.g. Python, SQL, R, JavaScript, or Scala) is required. Given the nature of course material, some familiarity with the Python language is recommended.

Outline

  • Intro to Cloud Computing
  • HPC Basics
    • UNIX Primer
    • Working remotely and scheduling jobs using SLURM
    • Syncing your work with the community
  • Expanding HPC Skills
    • Machine Learning Primer
    • Data leakage and Overtraining
  • Computer Science for the Agri-Food researcher
    • Algorithm design and data structures
    • Computational Complexity (Big-O) and profiling
  • HPC and Cloud Concepts
    • Divide and conquer
    • Parallelization
    • Containerization
    • Storage types
  • Computer Hardware and Resources
    • Processor types
    • Memory
    • Networking speed
  • Future trends

 

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Enroll Now - Select a section to enroll in
Section Title
HPC for Ag: Breaking the Compute Barrier, Upskilling Agri-Food Researchers to Utilize HPC Resources
Type
--
Days
M
Time
10:30AM to 12:00PM
Dates
Sep 16, 2024 to Nov 18, 2024
Campus
Twin Cities (US Central Time)
Schedule and Location
Contact Hours
15.0
Delivery Options
Instructor Led Online  
Course Fee(s)
Course Fee $0.00
Section Details

Contact Information:

  • For questions regarding course registration, please email Kris Junker at junk0011@umn.edu or call 612-624-7253
  • For questions regarding course materials and contact, please email Kevin Silverstein at kats@umn.edu
  • For questions regarding system access, log-in, username, or password, please email help@umn.edu or call 612-301-4357
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