A Monday 10 January 2011 19:29:33 Mark Wiebe escrigué:
so, the new code is just 5% slower. I suppose that removing the
NPY_ITER_ALIGNED flag would give us a bit more performance, but
that's great as it is now. How did you do that? Your new_iter
branch in NumPy already deals with
A Tuesday 11 January 2011 06:45:28 Mark Wiebe escrigué:
On Mon, Jan 10, 2011 at 11:35 AM, Mark Wiebe mwwi...@gmail.com
wrote:
I'm a bit curious why the jump from 1 to 2 threads is scaling so
poorly.
Your timings have improvement factors of 1.85, 1.68, 1.64, and
1.79. Since
the
On Mon, Jan 10, 2011 at 11:53 AM, totonixs...@gmail.com
totonixs...@gmail.com wrote:
Hi all,
I have this problem: Given some point draw a circle centered in this
point with radius r. I'm doing that using numpy this way (Snippet code
from here [1]):
# Create the initial black and white image
On Tue, Jan 4, 2011 at 8:14 AM, Keith Goodman kwgood...@gmail.com wrote:
On Tue, Jan 4, 2011 at 8:06 AM, Sebastian Haase seb.ha...@gmail.com wrote:
On Mon, Jan 3, 2011 at 5:32 PM, Erik Rigtorp e...@rigtorp.com wrote:
On Mon, Jan 3, 2011 at 11:26, Eric Firing efir...@hawaii.edu wrote:
Instead
Hi all,
I've noticed a change in numpy.histogram2d between (possibly very much)
older versions and the current one: The function can no longer handle
the situation where bin edges decrease instead of increasing monotonically.
The reason for this seems to be the handling of outliers histogramdd,