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[ ![ Build Status] ( https://travis-ci.org/JuliaGPU/GPUArrays.jl.svg?branch=master )] ( https://travis-ci.org/JuliaGPU/GPUArrays.jl )
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[ ![ Build status] ( https://ci.appveyor.com/api/projects/status/2aa4bvmq7e9rh338/branch/master?svg=true )] ( https://ci.appveyor.com/project/SimonDanisch/gpuarrays-jl-8n74h/branch/master )
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+ [ Benchmarks] ( https://github.com/JuliaGPU/GPUBenchmarks.jl/blob/master/results/results.md )
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GPU Array package for Julia's various GPU backends.
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The compilation for the GPU is done with [ CUDAnative.jl] ( https://github.com/JuliaGPU/CUDAnative.jl/ )
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and for OpenCL [ Transpiler.jl] ( https://github.com/SimonDanisch/Transpiler.jl ) is used.
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In the future it's planned to replace the transpiler by a similar approach
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CUDAnative.jl is using (via LLVM + SPIR-V).
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# Why another GPU array package in yet another language?
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Julia offers countless advantages for a GPU array package.
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