rex wrote:
>
> I think it should do much better. A few minutes ago I compiled a C
> math benchmark with :
>
> icc -o3 -parallel -xT
>
> and it ran 2.8x as fast as it did when compiled with gcc -o3. In
> fact, it ran at a little over a gigaflop, which is a higher speed than
> anyone has reported for
Steve Lianoglou <[EMAIL PROTECTED]> [2007-01-24 20:06]:
>
> Now that you've gone through your odyssey trying to numpy/scipy w/
> this particular combo (SuSE/MKL/IntelCC), now would be a great time
> to whip up wiki page ... you know .. for the documentation ;-)
Yes, I should do that, but I wa
Steve Lianoglou wrote:
> Hi Rex,
>
>> Thank you for taking the time to write such a detailed explanation. If
>> only the documentation were so detailed...
>
> Now that you've gone through your odyssey trying to numpy/scipy w/
> this particular combo (SuSE/MKL/IntelCC), now would be a great time
Hi Rex,
> Thank you for taking the time to write such a detailed explanation. If
> only the documentation were so detailed...
Now that you've gone through your odyssey trying to numpy/scipy w/
this particular combo (SuSE/MKL/IntelCC), now would be a great time
to whip up wiki page ... you kno
rex wrote:
> I've added these lines to .bashrc:
> source /opt/intel/cc/9.1.042/bin/iccvars.sh
> export PYTHONPATH=/usr/local/lib/python2.5/site-packages:/usr/lib/python2.5
> export INCLUDE=/opt/intel/mkl/8.1/include:$INCLUDE
> export
> LD_LIBRARY_PATH=/usr/local/lib:/opt/intel/mkl/8.1/lib/32:$LD_
Christian Marquardt <[EMAIL PROTECTED]> [2007-01-24 11:09]:
>
> I'll try to explain... I hope it's not too basic.
Christian, at this point you could explain that shoes are not
interchangeable -- that they are built to be worn on the left foot or the
right foot -- and I'd be grateful for the expla
Crider, Joseph A wrote:
>I am still clueless as to why numpy.numarray will not build for numpy
>1.0 and later. As I am currently not using much from either numpy or
>scipy, but do want to be able to use some of the 1.0 features
>(especially the order keyword for sort on record arrays), I've decid
I am still clueless as to why numpy.numarray will not build for numpy
1.0 and later. As I am currently not using much from either numpy or
scipy, but do want to be able to use some of the 1.0 features
(especially the order keyword for sort on record arrays), I've decided
to disable most of the sub
Steve Lianoglou wrote:
> Hi,
>
>>> I got gfortran from hpc.sourceforge.net. I just now noticed that my
>>> gcc is "experimental", I hope that isn't the issue.
>> It probably is the issue.
>
> One thing to note is that (at least when I d/l'd it), the hpc fortran
> download also has inside it a
On 1/24/07, Steve Lianoglou <[EMAIL PROTECTED]> wrote:
> Hi,
>
> >> I got gfortran from hpc.sourceforge.net. I just now noticed that my
> >> gcc is "experimental", I hope that isn't the issue.
> >
> > It probably is the issue.
>
> One thing to note is that (at least when I d/l'd it), the hpc fortr
Hi,
>> I got gfortran from hpc.sourceforge.net. I just now noticed that my
>> gcc is "experimental", I hope that isn't the issue.
>
> It probably is the issue.
One thing to note is that (at least when I d/l'd it), the hpc fortran
download also has inside it a version of gcc which it will dump
Jeremy Conlin wrote:
> I also have been unable to build numpy on OS X although my error(s)
> are slightly different from the original poster. I just installed
> python2.5 from the binary at python.org.
>
> Python 2.5 (r25:51918, Sep 19 2006, 08:49:13)
> [GCC 4.0.1 (Apple Computer, Inc. build 5341
rex wrote:
> Thanks for the URL. It would not have occurred to me to read
> "alt-install-windows" since I don't do Windows, and haven't since 1999.
The name of the file is a quirk of the documentation generation program. The
table of contents, though, is quite clear about that chapter's generality
I also have been unable to build numpy on OS X although my error(s)
are slightly different from the original poster. I just installed
python2.5 from the binary at python.org.
Python 2.5 (r25:51918, Sep 19 2006, 08:49:13)
[GCC 4.0.1 (Apple Computer, Inc. build 5341)] on darwin
Type "help", "copyri
Dear rex,
I'll try to explain... I hope it's not too basic.
Python is searching for its modules along the PYTHONPATH, i.e. a list
of directories where it expects to find whatever it needs. This is the
same as the Unix shell (or the DOC command.com) is looking in the PATH in
order
to find programs
On 1/24/07, Robert Cimrman <[EMAIL PROTECTED]> wrote:
Robert Kern wrote:
> Robert Cimrman wrote:
>> Or you could just call unique1d prior to your call to setmember1d - it
>> was meant to be used that way... you would not loose much speed that
>> way, IMHO.
>
> But that doesn't do what they want.
On Wednesday 24 January 2007 16:44, Travis Oliphant wrote:
> Martin Wiechert wrote:
> >Hi list,
> >
> >does anybody know, what datatype arrays C-API functions like
> >
> >PyArray_SearchSorted
> >PyArray_ArgSort
> >
> >return? Can I rely on them being npy_intp?
>
> Yes.
>
> -Travis
>
Thanks!
> ___
Martin Wiechert wrote:
>Hi list,
>
>does anybody know, what datatype arrays C-API functions like
>
>PyArray_SearchSorted
>PyArray_ArgSort
>
>return? Can I rely on them being npy_intp?
>
>
>
Yes.
-Travis
___
Numpy-discussion mailing list
Numpy-discus
Hi list,
does anybody know, what datatype arrays C-API functions like
PyArray_SearchSorted
PyArray_ArgSort
return? Can I rely on them being npy_intp?
Thanks,
Martin
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org
Robert Kern <[EMAIL PROTECTED]> [2007-01-24 03:22]:
> rex wrote:
> import numpy
> print numpy
> >
> >
> > What am I to make of this? Is it the rpm numpy or is it the numpy I
> > built using the Intel compiler and MKL?
>
> Did you change the distutils installation location? See this pag
Robert Cimrman wrote:
> Robert Kern wrote:
>> Robert Cimrman wrote:
>>> Or you could just call unique1d prior to your call to setmember1d - it
>>> was meant to be used that way... you would not loose much speed that
>>> way, IMHO.
>> But that doesn't do what they want. They want a function that giv
Robert Kern wrote:
> Robert Cimrman wrote:
>> Or you could just call unique1d prior to your call to setmember1d - it
>> was meant to be used that way... you would not loose much speed that
>> way, IMHO.
>
> But that doesn't do what they want. They want a function that gives the mask
> against thei
rex wrote:
> David Cournapeau <[EMAIL PROTECTED]> [2007-01-23 23:40]:
>
> But installing software is typically easy for Windows users.
I am not sure installing numpy using MKL library is easier on windows :)
> IMO, the
> difficulty of installing Linux applications is a huge barrier to wider
> adop
rex wrote:
import numpy
print numpy
>
>
> What am I to make of this? Is it the rpm numpy or is it the numpy I
> built using the Intel compiler and MKL?
Did you change the distutils installation location? See this page for the
various ways to do that:
http://docs.python.org/inst/alt-
rex wrote:
> David Cournapeau <[EMAIL PROTECTED]> [2007-01-23 23:40]:
>
>> rex wrote:
>>
>>> Robert Kern <[EMAIL PROTECTED]> [2007-01-23 22:18]:
>>>
You need to install the development package for Python. Usually it's named
something like python2.5-devel.
>>>
David Cournapeau <[EMAIL PROTECTED]> [2007-01-23 23:40]:
> rex wrote:
> > Robert Kern <[EMAIL PROTECTED]> [2007-01-23 22:18]:
> >> You need to install the development package for Python. Usually it's named
> >> something like python2.5-devel.
> >
> > Thank you. Did that, and NumPy compiled with a B
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