Suggest me a Good library for scientific computing in Julia with good support for multi-core CPUs and GPUs.

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Julia differential-equations Differentialequations Cuda GPU

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  • DifferentialEquations.jl

    Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

  • CUDA.jl

    CUDA programming in Julia.

    • There is CUDA.jl for working with NVidia graphics cards, but I don't know of AMD equivalents.

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  • MPM-Julia

    Julia implementation of the material point method (MPM)

    • Sounds like an interesting project, please post how you go! I found this with library, may be useful https://github.com/vinhphunguyen/MPM-Julia

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