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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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