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Showing content from https://github.com/JuliaLinearAlgebra/MKL.jl/issues/122 below:

MKL Distributed slower! · Issue #122 · JuliaLinearAlgebra/MKL.jl · GitHub

I am using MKL to accelerate svd,
using MKL
svd will be 5-10 times faster
But it is far from enough in parallel:
Add the original svd 1.3s
using mkl will change to 0.15s

Then parallel each time 0.6s

If I declare in each process:
He will be slower than before without parallelism.
@Everywhere using MKL
From worker 2: 1.596812 seconds (24.28 k allocations: 128.745 MiB, 0.67% gc time)
From worker 3: 1.621169 seconds (24.28 k allocations: 128.745 MiB, 0.38% gc time)
From worker 4: 1.599108 seconds (24.28 k allocations: 128.745 MiB, 0.35% gc time)


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