In Fall 2022 / Winter 2023 semesters, the bulk of training provided by SHARCNET to our users is comprised of a series of
independent, self-contained workshops on a wide range of topics pertaining to Advanced Research Computing. The workshops
include live lectures, hands on labs (both delivered via Zoom), and self-paced learning content. The live classes are
scheduled on Mondays, Wednesdays and Thursdays from 4pm - 5pm Eastern Time.
Upcoming workshops:
- Introduction to Jupyter on the Clusters: Oct. 12, 13
- Python for High Performance Computing: Oct. 17, 19, 20, 24
- Parallel Programming with C++: Oct. 26, 27, 31; Nov. 2, 3, 7
- Parallel Programming with Fortran: Nov. 9, 10, 14, 16, 17, 21
- Introduction to GPU Programming: Nov. 23, 24, 28, 30
- Introduction to MPI: Dec. 1, 5, 7, 8, 12, 14
- Using Apptainer Containers: Jan. 9, 11, 12
- Scalable and Accelerated Data Science: Jan. 16, 18, 19
- Introduction to Julia: Jan. 23, 25, 26
- Debugging and Profiling: Jan. 30, Feb. 1, 2, 6
- Visualization: Feb. 8, 9
- Introduction to Deep Learning: Feb. 13, 15, 16
- (more workshops to be added later...)
In addition to this series, SHARCNET also delivers weekly New User Seminars (every Tuesday at 2pm Eastern Time) and
biweekly General Interest Webinars (every other Wednesday at 12pm). All our training events (with details and registration
links) can be found on our Events Calendar.
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Digital Research
Alliance of Canada account is required. Registration is required. Each workshop requires a separate registration.
Register early as workshops may have a limited number of seats available. The workshops are free of charge.
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