Speeding up with Numexpr

[wilko339]

Hi Pierre,

I love this generator, its working great for me! However, I would like to be able to use this to generate arrays with minimum of 300 elements in each dimension and it's quite slow at the moment. Have you ever heard of the Numexpr package? It's able to perform basic operations on large arrays much faster than NumPy. Maybe this would be able to reduce the time taken to run your generator?

For example, your 'f(t)' function (line5) could be written using Numexpr as follows:

import numexpr as ne

def f(t):
return ne.evaluate('6t**5 - 15t4 + 10*t3')

This will massively reduce the time. Just a suggestion for you!

[SteffenCzolbe]

I share the speed concern. Im working with large 3d arrays, and this library just doesn't cut it for that.
The suggested expression using numexpr doesn't speed up the code by much though -- I see about a 5% speedup.

[pvigier]

Hi,
I don't think we can win much performance using only Python and numpy and I don't plan to use another dependency for this library.
Have you tried to use numba as proposed in issue #9? andrekv17 reported an important performance gain.