Exercise 17

Introduction to KernelAbstractions

Getting started on Google Colab

Recently Google Colab started supporting Julia directly. One needs to switch the change the “runtime type” to “Julia”, and Google Colab also provides some GPU support for free.

To get started with today’s exercise:

Open in Colab

Cite this page

Valentin Churavy. (2026). Introduction to KernelAbstractions. Section 3.2. In: Research Software Engineering with Julia. University of Mainz. https://vchuravy.github.io/rse-course/2026/exercises/exercise_17_gpu/

@incollection{churavy2026:exercise17gpu,
  author       = {Churavy, Valentin},
  title        = {Introduction to KernelAbstractions},
  booktitle    = {Research Software Engineering with Julia},
  year         = {2026},
  chapter      = {Section 3.2},
  organization = {University of Mainz},
  url          = {https://vchuravy.github.io/rse-course/2026/exercises/exercise_17_gpu/},
}
Edit this page on
Website based on the MIT course Computational Thinking, a live online Julia/Pluto textbook and built with Pluto.jl and the Julia programming language.