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Long time ago I wrote a package that
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provides fast math functions (ufuncs) for numpy, using Intel’s MKL/VML library, see
https://github.com/geggo/uvml and my comments
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there. This code could be easily ported to use other vector math libraries.
When MKL is not available for a System, will this integration work with default numpy maths functions?
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Would be interesting to evaluate other possibilities. Due to
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the fact that MKL is non-free, there are concerns to use it with numpy,
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although e.g. numpy and scipy using the MKL LAPACK
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routines are used frequently (Anaconda or Christoph Gohlkes binaries).
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> You can easily inject the fast math ufuncs into numpy, e.g. with set_numeric_ops() or np.sin = vml.sin.
Can you explain in a bit detail or provide a link where i can see it?
Thanks for your valuable suggestion.
--
Durgesh Pandey,
IIIT-Hyderabad,India.
