I am trying Julia 1.7.2 on an M1 MacBook Air for bench marking Eigen against MATLAB 2022a a=randn(100,100) tic, for x=1:100; eig(a); end; toc Elapsed time is 0.295766 seconds. whereas Julia v1.7.2 a=randn(Float64, (100,100)) @time begin for x in 1:100 eigen(a); end en…

How many threads is BLAS using? These are both just calling out to BLAS, so with some parameter tuning, they should be identical.

BLAS is using 8 threads. I changed it to 16 with no change. In fact, I changed it to 1 thread and the executed time was the same.

In my computer MKL’s eigen is 4x as fast as the default, so maybe this is related (I think MATLAB uses MKL by default). using BLAS: julia> @time begin for x in 1:100 eigen(a); end end 1.968685 seconds (2.10 k allocations: 41.257 MiB, 5.29%…

I don’t expect the MacBook Air to benefit from MKL. The processor is ARM-based. But x86 has an emulation mode. /K

See this comment from an earlier discussion: [image] Julia is slower than MATLAB at diagonalizing matrices New to Julia I guess that with one or no output argument Matlab’s eig just computes the eigenvalues and does not particularly compute/store the eigenvectors. In contr…

Julia versus MATLAB

General Usage Performance

Elrod April 12, 2022, 2:12am 6

See this comment from an earlier discussion:

Topic		Replies	Views
Unusually bad performance of eigen() compared to eig() in Matlab Performance question	16	3299	July 17, 2019
Julia is slower than MATLAB at diagonalizing matrices New to Julia question , matlab , linearalgebra , matrices , eigenvalues	41	4719	March 30, 2022
Matlab's matmul much faster than julia's New to Julia	6	793	April 5, 2024
How to mitigate bad performance of eigvals from LinearAlgebra New to Julia question , mkl , linearalgebra	3	433	January 1, 2024
Does eigen( ) get stuck in processing of the results? Performance linearalgebra	10	642	January 27, 2021

Julia versus MATLAB

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