Some CUDA programming fun with Julia

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  • odysee-api

    API server for Odysee

  • StructArrays.jl

    Efficient implementation of struct arrays in Julia

  • I can't recommend any particular project that implements something in cuda, but I'd check out the StructArrays.jl[0] project.

    One of julia's strengths is it's macro and type system. StructArrays.jl uses them to create a SoA struct out of a AoS. This is a killer feature that generally requires some form of code generation in C/C++.

    Even if you're just doing something on the cpu, it should set you up to be both simd & gpu friendly. They have a guide on how to swap out the underlying array storage from cpu to gpu memory

    fwiw, cuda is a "Tier 1" supported architecture[1], where "Tier 1" is defined as

    > Tier 1: Julia is guaranteed to build from source and pass all tests on these platforms when built with the default options. Official binaries are always available and CI is run on every commit to ensure support is actively maintained.

    [0] https://github.com/JuliaArrays/StructArrays.jl

    [1] https://julialang.org/downloads/#supported_platforms

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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