[Numpy-discussion] SFMT (faster mersenne twister)

Julian Taylor jtaylor.debian at googlemail.com
Mon Sep 8 14:00:27 EDT 2014

On 08.09.2014 19:05, Pierre-Andre Noel wrote:
>  > I think we could add new generators to NumPy though,
>  > perhaps with a keyword to control the algorithm (defaulting to the 
> current
>  > Mersenne Twister).
> Here is how I propose to adapt this scheme to numpy. First, there would 
> be a global generator defaulting to the current implementation of 
> Mersene Twister. Calls to numpy's "RandomState", "seed", "get_state" and 
> "set_state" would affect this global generator.
> All numpy functions associated to random number generation (i.e., 
> everything listed on 
> http://docs.scipy.org/doc/numpy/reference/routines.random.html except 
> for "RandomState", "seed", "get_state" and "set_state") would accept the 
> kwarg "generator", which defaults to the global generator (by default 
> the current Mersene Twister).

I don't think every function would need a generator argument, for real
world applications it should be sufficient to have the state object
carry which generator is used and maybe a switch to change the global one.

But as already mentioned by Robert, we know what we can do, what is
missing is someone writting the code.

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