That would need the capability of compiling arbitrary Julia functions for the GPU. If you remove the arbitrary (no allocations, no exceptions, no IO) and are confident with trying out prototypes, this already exists for NVidia GPU's: https://github.com/JuliaGPU/CUDAnative.jl If you only have a couple of thousand elements, it might be that you won't profit much from the GPU, though ;)
Am Freitag, 10. Juni 2016 07:08:42 UTC+2 schrieb [email protected]: > > Hello, > > We are pleased to announce ArrayFire.jl, a library for GPU and > heterogeneous computing in Julia: ( > https://github.com/JuliaComputing/ArrayFire.jl). We look forward to your > feedback and your contributions as well! > > For more information, check out Julia Computing's latest blog post: > http://juliacomputing.com/blog/2016/06/09/julia-gpu.html > > Thanks, > Ranjan > Julia Computing, Inc. >
