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Showing content from https://github.com/SciML/DifferentialEquations.jl/issues/176 below:

AbstractArray support metaissue · Issue #176 · SciML/DifferentialEquations.jl · GitHub

I went through to find out what's required for GPUArrays to work well in the *DiffEq packages. Essentially, other than a few GPUArray bugs:

JuliaGPU/GPUArrays.jl#20
JuliaGPU/GPUArrays.jl#21
JuliaGPU/GPUArrays.jl#22

The only issues that come up is that GPUArrays are an AbstractArray type which does not have indexing. Incredibly, in the broadcast branches / masters this mostly works, except for one line. However, that would be fixed by the following tiny new feature in Julia's Base:

JuliaLang/julia#22216

Then the *DiffEq solvers can automatically compile new versions of themselves for the GPU.

(I think this is super cool haha)


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