Скачать или смотреть Teaching GPU Computing, Experiences From Our... | L Räss, S Omlin, M Werder | JuliaCon 2022

In the Fall Semester 2021 at ETH Zurich, we designed and taught a new course "Solving PDEs in parallel on GPUs with Julia". We present technical and teaching experiences we gained: we look at our tech-stack CUDA.jl, ParallelStencils.jl and ImplictGlobalGrid.jl for GPU-computing; and Franklin.jl, Literate.jl, IJulia.jl/Jupyter for web, slides, and exercises. We look into the crash-course in Julia, teaching software-engineering (git, CI) and project-based student evaluations.

For more info on the Julia Programming Language, follow us on Twitter:   / julialanguage   and consider sponsoring us on GitHub: https://github.com/sponsors/JuliaLang

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