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:
- Specify the number of researchers to undergo training (minimum of 5 or more).
- Share the domain of your research.
- Let us know if you have a particular workflow or application in mind.
- 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