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:
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
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
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 quick
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
