Have you tried on an Intel CPU? I have both a i5 quad core and an i7 octo
core where I could run it over the weekend. One may expect some compiler
magic taking advantage of the advanced features, specially the i7.
/David
On Nov 25, 2013 8:16 PM, Julian Taylor jtaylor.deb...@googlemail.com
wrote:
Probably a loaded question but is there a significant performance difference
between using MKL (or OpenBLAS) on multi-core cpu's and cuBLAS on gpu's. Does
anyone have recent experience or link to an independent benchmark?
___
NumPy-Discussion mailing
On Tue, 26 Nov 2013 01:02:40 -0800
Dinesh Vadhia dineshbvad...@hotmail.com wrote:
Probably a loaded question but is there a significant performance difference
between using MKL (or OpenBLAS) on multi-core cpu's and cuBLAS on gpu's.
Does anyone have recent experience or link to an
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On 26 November 2013 10:42, Jerome Kieffer jerome.kief...@esrf.fr wrote:
On Tue, 26 Nov 2013 01:02:40 -0800
Dinesh Vadhia dineshbvad...@hotmail.com wrote:
Probably a loaded question but
Jerome, Thanks for the swift response and tests. Crikey, that is a significant
difference at first glance. Would it be possible to compare a BLAS computation
eg. matrix-vector or matrix-matrix calculation? Thx!___
NumPy-Discussion mailing list
We have such benchmark in Theano:
https://github.com/Theano/Theano/blob/master/theano/misc/check_blas.py#L177
HTH
Fred
On Tue, Nov 26, 2013 at 7:10 AM, Dinesh Vadhia
dineshbvad...@hotmail.com wrote:
Jerome, Thanks for the swift response and tests. Crikey, that is a
significant difference at
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On 26 November 2013 13:37, Frédéric Bastien no...@nouiz.org wrote:
We have such benchmark in Theano:
https://github.com/Theano/Theano/blob/master/theano/misc/check_blas.py#L177
HTH
Fred
On Tue, Nov 26, 2013 at 7:10 AM, Dinesh Vadhia
dineshbvad...@hotmail.com wrote:
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-paul
On Tue, Nov 26, 2013 at 5:42 AM, regikeyz . regi.pub...@gmail.com wrote:
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On 26 November 2013 13:37, Frédéric Bastien no...@nouiz.org wrote:
there isn't that much code in numpy that profits from modern x86
instruction sets, even the simple arithmetic loops are strided and thus
unvectorizable by the compiler. They have been vectorized manually in
1.8 using sse2 and it is on my todo list to add runtime detected avx
support.
On
Hi,
I as the title says, I am looking for a way to set in python the base of
an ndarray to an object.
Use case is porting qimage2ndarray to PySide where I want to do
something like:
In [1]: from PySide import QtGui
In [2]: image =
On Tue, Nov 26, 2013 at 11:54 AM, Peter Rennert p.renn...@cs.ucl.ac.uk wrote:
Hi,
I as the title says, I am looking for a way to set in python the base of
an ndarray to an object.
Use case is porting qimage2ndarray to PySide where I want to do
something like:
In [1]: from PySide import
Brilliant thanks, I will try out the little class approach.
On 11/26/2013 08:03 PM, Nathaniel Smith wrote:
On Tue, Nov 26, 2013 at 11:54 AM, Peter Rennert p.renn...@cs.ucl.ac.uk
wrote:
Hi,
I as the title says, I am looking for a way to set in python the base of
an ndarray to an object.
I probably did something wrong, but it does not work how I tried it. I
am not sure if you meant it like this, but I tried to subclass from
ndarray first, but then I do not have access to __array_interface__. Is
this what you had in mind?
from PySide import QtGui
import numpy as np
class
On Tue, Nov 26, 2013 at 9:37 PM, Peter Rennert p.renn...@cs.ucl.ac.uk
wrote:
I probably did something wrong, but it does not work how I tried it. I
am not sure if you meant it like this, but I tried to subclass from
ndarray first, but then I do not have access to __array_interface__. Is
this
On Tue, Nov 26, 2013 at 1:37 PM, Peter Rennert p.renn...@cs.ucl.ac.uk wrote:
I probably did something wrong, but it does not work how I tried it. I
am not sure if you meant it like this, but I tried to subclass from
ndarray first, but then I do not have access to __array_interface__. Is
this
Btw, I just wanted to file a bug at PySide, but it might be alright at
their end, because I can do this:
from PySide import QtGui
image = QtGui.QImage('/home/peter/code/pyTools/sandbox/images/faceDemo.jpg')
a = image.bits()
del image
a
#read-write buffer ptr 0x7f5fe0034010, size 1478400 at
On Tue, Nov 26, 2013 at 2:55 PM, Peter Rennert p.renn...@cs.ucl.ac.uk wrote:
Btw, I just wanted to file a bug at PySide, but it might be alright at
their end, because I can do this:
from PySide import QtGui
image = QtGui.QImage('/home/peter/code/pyTools/sandbox/images/faceDemo.jpg')
a =
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