CPU vs GPU strategies in Python [online, CGPU101]

When should you use a GPU instead of a CPU for your computations? This workshop will help you identify when GPUs provide a real advantage and when they're unnecessary. You'll discover best practices for efficiently utilizing these expensive resources and avoiding waste.

Prerequisites

• Know the basics of submitting jobs to a compute cluster or have completed the workshop “First steps on supercomputers (CIP101)”
• Have a good knowledge of Python programming or have completed the workshops “Introduction to programming with Python (PYT101)” and “Enhancing your Python programming skills (PYT102)”

Agenda

• CPU vs GPU: Overview
• Monitoring tools
• Code profiling tools

Instructor

Nikolaï Sergueev, analyst in advanced research computing at Calcul Québec.

Language

English

Registration

Regular rate: $250

Academic or Nonprofit rate: Free registration for anyone who studies, teaches, or works at a university, CEGEP, CCTT, or research institute affiliated with a Canadian university, or anyone working for a nonprofit organization in Canada

⚠ Even if you qualify for free registration, signing up still has a cost and uses up resources! Please register only once for the same event, and unregister in advance if something comes up.

Technical prerequisites

We will use the Zoom platform. Because this event is a practical workshop, it is very useful having a secondary screen where you would get the instructor window on one screen and your own window on your main screen.

We will use the Jupyter Lab interface. Make sure you have a modern Web browser like Google Chrome, Firefox, Edge or Safari.

Notes

• A certificate of participation will be send to each participant who attends at least 60% of the workshop.
• The workshop is not recorded.
• The workshop could be canceled if the number of registrations is too low.

Contact

For any question, please write us to training@calculquebec.ca

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