On the scipy mailing list I also answered to Amine, who is also interested in this proposal. Long time ago I wrote a package that provides fast math functions (ufuncs) for numpy, using Intel’s MKL/VML library, see
https://github.com/geggo/uvml and my comments there. This code could be easily ported to use other vector math libraries. Would be interesting to evaluate other possibilities. Due to the fact that MKL is non-free, there are concerns to use it with numpy, although e.g. numpy and scipy using the MKL LAPACK routines are used frequently (Anaconda or Christoph Gohlkes binaries).
You can easily inject the fast math ufuncs into numpy, e.g. with set_numeric_ops() or np.sin = vml.sin.