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It sure would be nice if MKL could be integrated in clang. It's still the fastest LAPACK implementation. I use it on a relatively powerfull cluster (~11k cores) at university for doing quantum chemical calculations in Dalton, and having more research software as open source would benefit everyone in the end I believe.

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Here here!

I run into this often, it is amazing the speedup MKL provides for linear algebra heavy scientific computations and it is under this weirdly commercial, but permissively redistrubutable framework which means a lot of folks are using it unkowningly in a gray licensing area.

See the pre-build python Numpy/Scipy packages that use it and are often use by data science types:

http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy

Not sure about Chris's licensing of MKL, but Continuum has a redistributable license of MKL packaged into their numpy builds for Anaconda - https://www.continuum.io/blog/developer-blog/anaconda-25-rel...

Intel has a Python distribution which bundles MKL as well: https://software.intel.com/en-us/intel-distribution-for-pyth...

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