[Numpy-discussion] The NumPy Mandelbrot code 16x slower than Fortran
Jonathan Rocher
jrocher@enthought....
Sun Jan 22 22:35:03 CST 2012
Hi all,
I was reading this while learning about Pytables in more details and the
origin of its efficiency. This sounds like a problem where out of core
computation using pytables would shine since the dataset doesn't fit into
CPU cache: http://www.pytables.org/moin/ComputingKernel. Of course
C/Cythonizing the problem would be another good way...
HTH,
Jonathan
2012/1/22 Ondřej Čertík <ondrej.certik@gmail.com>
> On Sun, Jan 22, 2012 at 3:13 AM, Sebastian Haase <seb.haase@gmail.com>
> wrote:
> > How does the algorithm and timing compare to this one:
> >
> >
> http://code.google.com/p/priithon/source/browse/Priithon/mandel.py?spec=svna6117f5e81ec00abcfb037f0f9da2937bb2ea47f&r=a6117f5e81ec00abcfb037f0f9da2937bb2ea47f
> >
> > The author of original version is Dan Goodman
> > # FAST FRACTALS WITH PYTHON AND NUMPY
>
> Thanks Sebastian. This one is much faster ---- 2.7s on my laptop with
> the same dimensions/iterations.
>
> It uses a better datastructures -- it only keeps track of points that
> still need to be iterated --- very clever.
> If I have time, I'll try to provide an equivalent Fortran version too,
> for comparison.
>
> Ondrej
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
--
Jonathan Rocher, PhD
Scientific software developer
Enthought, Inc.
jrocher@enthought.com
1-512-536-1057
http://www.enthought.com
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.scipy.org/pipermail/numpy-discussion/attachments/20120122/7eb4e4f6/attachment.html
More information about the NumPy-Discussion
mailing list