Original ticket http://projects.scipy.org/numpy/ticket/2219 on 2012-09-28 by trac user bred, assigned to unknown.

If we perform a sin function on a very big array the computation is very slow respect to the real possibility offered by MKL.

Example:

x = np.random.rand(1e7)
y = np.sin(x) # is too slow !!! and it's not parallel!

I've seen that mkl offers the functions for solving these operation in a performant manner.

Can you implement these functions in munpy in a better way?