Parallélisation distribuée presque triviale d’applications GPU et CPU basées sur des Stencils avec…

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • ParallelStencil.jl

    Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

    GitHub - omlins/ParallelStencil.jl: Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

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  • ImplicitGlobalGrid.jl

    Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

    GitHub - eth-cscs/ImplicitGlobalGrid.jl: Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

  • Pyston

    (No longer maintained) A faster and highly-compatible implementation of the Python programming language.

    Releases · pyston/pyston

  • CUDA.jl

    CUDA programming in Julia.

    GitHub - JuliaGPU/CUDA.jl: CUDA programming in Julia.

  • MPI.jl

    MPI wrappers for Julia

    GitHub - JuliaParallel/MPI.jl: MPI wrappers for Julia

  • CompGrids.jl

    Creates computational grids that can be used with ParallelStencil.jl or PETSc.jl

    GitHub - JuliaGeodynamics/CompGrids.jl: Creates computational grids that can be used with ParallelStencil.jl or PETSc.jl

  • julia

    The Julia Programming Language

    [root@julia ~]# julia _ _ _ _(_)_ | Documentation: [https://docs.julialang.org](https://docs.julialang.org) (_) | (_) (_) | _ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help. | | | | | | |/ _` | | | | |_| | | | (_| | | Version 1.7.2 (2022-02-06) _/ |\ __'_|_|_|\__'_| | Official [https://julialang.org/](https://julialang.org/) release |__/ | ([@v1](http://twitter.com/v1).7) pkg> add IJulia

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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