On Sat, Oct 04, 2008 at 05:59:40PM +0200, Tiziano Zito wrote:
> Hi,
> > This seems to tell that numpy has been build without altas. Hum, maybe we
> > need to work with the Debian guys to make sure that numpy is available
> > with altas.
> we had recently a discussion regarding this issue on this
Hi,
> This seems to tell that numpy has been build without altas. Hum, maybe we
> need to work with the Debian guys to make sure that numpy is available
> with altas.
>
we had recently a discussion regarding this issue on this mailinglist, see:
http://groups.google.com/group/Numpy-discussion/brow
On Fri, Oct 03, 2008 at 09:11:58PM +, Pauli Virtanen wrote:
> Fri, 03 Oct 2008 18:59:02 +0200, Gael Varoquaux wrote:
> > I am doing a calculation where one call numpy.dot ends up taking 90%
> > of
> > the time (the array is huge: (61373, 500) ).
> > Any chance I can make this faster? I would
Fri, 03 Oct 2008 18:59:02 +0200, Gael Varoquaux wrote:
> I am doing a calculation where one call numpy.dot ends up taking 90% of
> the time (the array is huge: (61373, 500) ).
>
> Any chance I can make this faster? I would believe BLAS/ATLAS would be
> behind this, but from my quick analysis (ldd
On Fri, Oct 3, 2008 at 10:59 AM, Gael Varoquaux <
[EMAIL PROTECTED]> wrote:
> I am doing a calculation where one call numpy.dot ends up taking 90% of
> the time (the array is huge: (61373, 500) ).
>
> Any chance I can make this faster? I would believe BLAS/ATLAS would be
> behind this, but from my
I am doing a calculation where one call numpy.dot ends up taking 90% of
the time (the array is huge: (61373, 500) ).
Any chance I can make this faster? I would believe BLAS/ATLAS would be
behind this, but from my quick analysis (ldd on numpy/core/multiarray.so)
it doesn't seem so. Have I done some
