Bring Intel x86 simd sort library to Julia

[gitboy16]

I am not getting the same benchmark especially that i have avx-512 on my machine. Plus you are are not using multithreading. I have intel sort faster than julia sort by 6x and 20x with multithreading.
Also look at your post:

Numpy.sort vs Julia sort

On a machine with AVX2 I can confirm numpy.sort is faster (but definitely not 10x): julia> using BenchmarkTools, PyCall julia> numpy = pyimport("numpy"); julia> a = randn(Float32, 10^8); julia> apy = pycall(numpy.array, PyObject, a); # convert to npy array julia> @btime sort($a); @btime pycall($(numpy.sort), PyObject, $apy); 2.611 s (14 allocations: 850.76 MiB) 954.375 ms (1 allocation: 16 bytes) julia> numpy.__version__ "2.1.3" julia> versioninfo() Julia Version 1.11.2 Commit 5e9a32e…

I think you should compile with the -mavx512f ..etc flags, you also don’t need to build the library, you can use the templates in src.