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Merge pull request #64 from JuliaGPU/sd/abstractgpu
turn the package into an abstract implementation
2 parents 8c9c825 + 0f974c7 commit 5598067

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.travis.yml

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matrix:
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allow_failures:
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- julia: nightly
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addons:
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apt:
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packages:
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- xorg-dev
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before_script:
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- if [ "${TRAVIS_OS_NAME}" = "linux" ]; then export DISPLAY=:99.0; sh -e /etc/init.d/xvfb start; fi
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notifications:
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email: false

README.md

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@@ -125,7 +125,7 @@ function kernel(state, arg1, arg2, arg3) # args get splatted into the kernel cal
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# arg1 can be any gpu array - this is needed to dispatch to the correct intrinsics.
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# if you call gpu_call without any further modifications to global/local size, this should give you a linear index into
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# DispatchDummy
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idx = linear_index(state, arg1::GPUArray)
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idx = linear_index(state)
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arg1[idx] = arg2[idx] + arg3[idx]
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return #kernel must return void
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end

REQUIRE

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julia 0.6
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StaticArrays
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ColorTypes
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Transpiler 0.3
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Sugar 0.3
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Matcha 0.0.2
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CUDAnative 0.4.1 # llvm codegen fix
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CUDAdrv 0.5.1
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CUDArt 0.4.0 # for cuda c compiler support
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CUBLAS 0.2.0 # for CUDAdrv support
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CUFFT
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OpenCL 0.6.0 #proper packed conversion
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CLBLAS 1.1.0
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CLFFT 0.4.0 # 0.5.0
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Interpolations
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IterTools

deps/build.jl

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examples/blackscholes.png

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examples/custom_kernels.jl

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examples/kmeans.jl

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examples/logreg.jl

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