On Thu, Feb 9, 2012 at 2:25 PM, Andrew McNabb
<amcnabb@mcnabbs.org> wrote:
On Thu, Feb 09, 2012 at 08:53:55PM +0100, Stefan Behnel wrote:
>
> AFAIK, there is no concrete roadmap towards supporting SciPy on top of
> PyPy. Currently, PyPy is getting its own implementation of NumPy-like
> arrays, but there is currently no interaction with anything in the SciPy
> world outside of those. Given the shear size of SciPy, reimplementing it on
> top of numpypy is unrealistic.
I understand that there is some hope in getting cython to support pure
python and ctypes as a backend, and then to migrate scipy to use cython.
This is definitely a long-term solution.
Most people don't depend on all of scipy, and for some use cases, it's
not too hard to find alternatives. Today I migrated a project from
scipy to the GNU Scientific Library (with ctypes). It now works great
with PyPy, and I saw a total speedup of 10.6. Dropping from 27 seconds
to 2.55 seconds is huge. It's funny, but for a new project I would go
to great lengths to try to use the GSL instead of scipy (though I'm sure
for some use cases it wouldn't be possible).
Hm... is there a reason GSL and SciPy need to compete? Can't SciPy incorporate GSL?