High-Performance Computing Courses at RCS: Difference between revisions

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=== Introduction to Python on ARC ===
=== Introduction to Python on ARC ===




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=== How to Speed Up R Codes? ===
=== How to Speed Up R Codes? ===
=== Introduction to Singularity/Apptainer (Basic) ===
=== Introduction to Singularity/Apptainer (Advanced) ===

Revision as of 16:54, 10 November 2023

For University of Calgary researchers intending to leverage the HPC infrastructure for their research work and seeking customized sessions, please contact us at support@hpc.ucalgary.ca for further discussion.

To customize our courses according to your requirements, please furnish the following details at least four weeks in advance:

  1. Specify the number of researchers to undergo training (minimum of 5 or more).
  2. Share the domain of your research.
  3. Let us know if you have a particular workflow or application in mind.
  4. Inform us about the Linux background of the researchers; this information aids us in designing the course effectively.

Past courses offered by the Research Computing Services Team:

Year 2023

  • May 01, 2023- Grad Success Week (GSW) 2023 (invited by: Paul Pappin)
Data Analysis in R and Accessing Advanced Research Computing
  • Jan 04, 2023 - Session for undergraduate bioinformatics students (invited by: David Anderson)
Introduction to High-Performance Computing Infrastructure at the University of Calgary

Year 2022

  • May 05, 2022- Grad Success Week (GSW) 2022 (invited by: Paul Pappin)
Data Analysis in R and Accessing Advanced Research Computing
  • Jan 04, 2022- Block week 2022 by David Anderson (invited by: David Anderson)
Introduction to High-Performance Computing Infrastructure at the University of Calgary

Year 2021

  • May 05, 2021- Grad Success Week (GSW) 2021 (invited by: Paul Pappin)
Data Analysis in R and Accessing Advanced Research Computing
  • Apr 22, 2021 - Centre for Health Informatics
Secure Computing on the MARC cluster

Year 2020

  • May 05, 2020- Grad Success Week (GSW) 2020 (invited by: Paul Pappin)
Data Analysis in R and Accessing Advanced Research Computing


Overview of the courses we offer

Introduction to Bash and Linux - Basic

I. Understanding the Command Line Interface (CLI)
  • Overview of CLI vs. Graphical User Interface (GUI)
  • Importance of CLI in Bioinformatics and Data Science
II. Getting Started with Bash
  • Opening the Terminal
  • Basic Shell Commands
III. File and Directory Manipulation
  • Creating and Deleting Files/Directories
  • Copying and Moving Files/Directories
  • Understanding Permissions (chmod)
IV. Text Processing with Bash
  • cat, head, and tail commands
  • grep for pattern matching
  • Redirection and Pipelines
V. Basic Scripting
  • Creating and Executing Bash Scripts
  • Variables and Basic Control Structures
  • Introduction to Functions

Introduction to Bash and Linux - Advanced

I. Advanced Text Processing
  • Regular Expressions
  • Text Manipulation
II. Shell Scripting Best Practices
  • Error Handling and Logging
  • Command-Line Arguments
  • Debugging Techniques

. . . . .

Introduction to Python on ARC

Introduction to R on ARC

How to Speed Up R Codes?

Introduction to Singularity/Apptainer (Basic)

Introduction to Singularity/Apptainer (Advanced)