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SFU and NVIDIA logos
Wednesday, November 4, 2020 to Thursday, November 5, 2020


Speaker Info:

Learn how AI can accelerate HPC simulations by introducing students to concepts of Deep Neural Networks, including data pre-processing, techniques on how to build, compare and improve accuracy of deep learning models. Bootcamp will introduce real-life problems, where participants learn AI concepts following step-by-step instructions and then given an opportunity to improve the taught solution using learned techniques.

Event Format

The bootcamp will be hosted online in the pacific time zone. All communication will be done through Zoom, Slack and email.


Basic experience with Python. No GPU programming or AI knowledge is required.


Click here to register.

Deadline to apply: October 28, 2020


Day 1 (Intro): November 4, 2020

  • Welcome (Moderator): 9:00 AM PDT
  • Connecting to a cluster: 9:15AM - 9:30 AM PDT
  • Introduction to GPU computing: 9:30AM - 10:00AM PDT (Lecture)
  • Introduction to AI: 10:00AM - 11:00AM PDT (Lecture)
  • CNN Primer and Keras 101: 11:00AM - 12:00PM PDT (Lecture and Lab)

Day 2 (Advanced): November 5, 2020

  • Tropical cycle detection: 9:00AM - 10:30AM PDT (Lab + Challenge)
  • Break 10:30-10:45AM PDT
  • Steady Flow Estimation 10:45AM - 12:15PM (Challenge)

Compute Resources

Participants will have access to Simon Fraser University's Supercomputer Cedar which is one of the most powerful academic supercomputers in Canada. Cedar provides the scale and capacity that is paving the way for new research breakthroughs. Cedar provides the computing power Canadian researchers need to achieve transformational innovations that directly benefit Canadians. Just some of these include personalized medicine for better patient care, green technologies to help fight climate change, and artificial intelligence research that will contribute to the Canadian economy.

Cedar is one of five national systems Compute Canada has deployed as part of one of the biggest advanced research computing renewals in Canada’s history.

More Information

Click here to visit the event website.

Picture of gears and binary code.
Monday, November 2, 2020 to Tuesday, November 24, 2020


Speaker Info:

WestGrid is delivering a new online Research Computing Autumn School this November. Eight courses will be delivered over eight different days and sessions will be focused around introductory or 'getting started' themes. The format will feature a combination of interactive Zoom sessions as well as pre-recorded reading and video materials.

The eight topics are:

  • Bash command line (Nov 2)
  • Version control with Git (Nov 3)
  • High performance computing (Nov 9)
  • Basics of Python (Nov 10)
  • Deep learning with PyTorch (Nov 16)
  • Parallel programming in Chapel (Nov 17)
  • Scientific programming in Julia (Nov 23)
  • 3D scientific visualization (Nov 24)

All materials, schedule, and course descriptions can be found on the Autumn School website (still under development):


There are two categories of registration. WestGrid's mandate is to serve and support institutions and researchers based in Western Canada and we thus offer discounted workshop rates to anyone based at or affiliated with WestGrid's seven Member Institutions. All registrants can attend as many or as few courses as they would like.

  • WestGrid Member Institutions*: $20 
    *This registration category is open to anyone based at or affiliated with one of WestGrid's seven Member Institutions: the University of British Columbia, Simon Fraser University, University of Victoria, University of Calgary, University of Alberta, University of Saskatchewan, and University of Manitoba.

  • Non-Member Academic Institutions*: $30 
    This registration category is open anyone based at or affiliated with any other Canadian post-secondary institution.

Who should participate

  • Anyone based at or affiliated with a Canadian post-secondary institution.
  • All research disciplines and skill levels are welcome to register.

Registration for this event is not open to researchers / students who are not affiliated with a Canadian university, but you are welcome to browse our Training Materials site for instructional videos and exercises on these topics or to contact us at for additional or customized training.

More information

If you have questions, please contact us for more information.