StructArrays.jl Alternatives

StructArrays.jl reviews and mentions

• Enum of Arrays
  3 projects | news.ycombinator.com | 21 Dec 2024

  Good insight.

  Ah... category theory :-)

  Array-of-Stuct (AoS) treats order in arrays as meaningful, arrays as lists, so AoS => Struct-of-Array (SoA) doesn't loose information. It is a sound transformation because it is a homomorphism.

  Some languages (homoiconic, or with macros or template support) can express this code transformation: e.g. Julia, https://github.com/JuliaArrays/StructArrays.jl, or Rust, https://www.abubalay.com/blog/2019/02/16/struct-of-arrays

  In a sense, you can see this transformation through the concept of monads (although Haskell monads or F# computational expressions cannot directly express it, as far as I know). Then the corresponding category diagrams leads to bags, unordered lists with repetitions, as the right concept for Enums of Arrays.

• Some CUDA programming fun with Julia
  2 projects | news.ycombinator.com | 7 May 2022

  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

• The compiler will optimize that away
  8 projects | news.ycombinator.com | 2 May 2021

  Julia has a package that provides incredibility easy to use SoA. https://github.com/JuliaArrays/StructArrays.jl Julia's metaprogramming and multiple dispatch mean that it can use user structs fully transparently. Everything just works.

• Is there a way to have a dataframe whose type will contain the types of its columns?
  1 project | /r/Julia | 4 Mar 2021

  You can use https://github.com/JuliaArrays/StructArrays.jl It's a decent choice when you need ease of manipulation and type stability.

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