[Octave-bug-tracker] [bug #58926] Octave gives wrong results with intel-mkl when diagonalizing large matrices

[anonymous]

Follow-up Comment #29, bug #58926 (project octave):

https://gist.github.com/N0rbert/cfda101b8f0aa326df1edb6beee0076d

I saw the comparison above has now expanded to include R, which like Octave
requires the MKL_THREADING_LAYER workaround, and that Scilab like Octave is
having more test failures with MKL than without.

@OP: This really ought to be documented better by the MKL team at Intel.
Please do keep up your efforts there.

@OP: In your timing comparisons of OpenBLAS and MKL, are you using precompiled
OpenBLAS from a repository or is it OpenBLAS that was configured and built on
your specific machine? That makes a big difference with "march=native"
compiler flags.

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