BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260605T081145Z UID:10c7e65b-0471-4101-b458-db59223a3efd DTSTART;TZID=Canada/Eastern:20260318T090000 DTEND;TZID=Canada/Eastern:20260318T120000 DESCRIPTION:

This event was exported from Explora
The content provider for this event is: Calcul Québec
Registration may be required for the event\, please visit the following URL to learn more: https://www.eventbrite.ca/e/1976734393784

Regis tration:: https://www.eventbrite.ca/e/1976734393784

Acc elerate your Python functions on CPU and GPU using Numba!

Python is easy to use\, but sometimes too slow for your intensive computations? Numb a compiler automatically translates your Python code to make it faster\, w hether on CPU or GPU. This workshop teaches you the essential techniques t o optimize your most time-consuming functions\, all while keeping the simp licity of Python.

Plan:

Why use GPUs for computing?

< li>Understanding difference between CPU and GPU
Numba: just-in-tim e compiling
Parallel computing: distributing workload among CPU an d GPU cores
Very short intro to CUDA
Numba + CUDA: porting a CPU code to GPU
Numba + CUDA: more acceleration with shared mem ory\, streams
Practical Sessions: lots of examples and exercises

Tags:
Presence: online
Cost basis: None
Language: engl ish
Registration URL: https://www.eventbrite.ca/e/197673439378 4

SUMMARY:Python code acceleration with Numba [online\, PYT301] URL;VALUE=URI:https://www.eventbrite.ca/e/1976734393784 END:VEVENT END:VCALENDAR