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Temp change to Readme, updated Project.toml
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Project.toml

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@@ -10,7 +10,7 @@ SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
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[compat]
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julia = "0.7, 1.0"
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CpuId = "0.2"
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SpecialFunctions = "0.8"
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SpecialFunctions = "0.8, 0.9"
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[extras]
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

README.md

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@@ -19,8 +19,9 @@ Note that intel MKL has a separate license, which you may want to check for comm
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To install IntelVectorMath.jl run
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```julia
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julia> ] add https://github.com/JuliaMath/IntelVectorMath.jl
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julia> ] add https://github.com/JuliaMath/VML.jl
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```
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(We are in the process of renaming the package and registering it, this path will should change soon.)
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## Using IntelVectorMath
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After loading `IntelVectorMath`, you have the supported function listed below, for example `IntelVectorMath.sin(rand(100))`. These should provide a significant speed-up over broadcasting the Base functions.

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