On Mon, 14 Mar 2011 23:10:13 +0100, Matthieu Brucher
matthieu.bruc...@gmail.com wrote:
Hi,
Intel Fortran is an excellent Fortran compiler. Why is Fortran still better
than C and C++?
- some rules are different, like arrays passed to functions are ALWAYS
supposed to be independent in
Ralf,
Actually, ATLAS isn't needed when using MKL.
http://software.intel.com/en-us/forums/showthread.php?t=81451p=1#144534
I am going to try this link line out
$(MKLROOT)/lib/em64t/libmkl_solver_ilp64.a -Wl,--start-group
$(MKLROOT)/lib/em64t/libmkl_intel_ilp64.a
I think that I shall never see
a rotate right divide by three
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Den 14.03.2011 23:02, skrev Sebastian Haase:
Sturla has been writing so much about Fortran recently, and Ondrej now
says he has done the move from C/C++ to Fortran -- I thought Fortran
was dead ... !? ;-)
What am I missing here
No, it is just that Fortran receives less hype. If Fortran was
Den 14.03.2011 23:10, skrev Matthieu Brucher:
Intel Fortran is an excellent Fortran compiler. Why is Fortran still
better than C and C++?
- some rules are different, like arrays passed to functions are ALWAYS
supposed to be independent in Fortran, whereas in C, you have to add a
restrict
C++ templates maks binaries almost impossible to debug.
Never had an issue with this and all my number crunching code is done
through metaprogramming (with vectorization, cache blocking...) So I have a
lot of complex template structures, and debugging them is easy.
Then, if someone doesn't
Den 14.03.2011 23:10, skrev Matthieu Brucher:
- Fortran 95 has an excellent array support, which is not currently
available in C/C++ (perhaps with ArBB?)
In C++ you can actually make array libraries that behave almost like a
Fortran compiler (cf. Blitz++, Intel Array Building Blocks), but
On Tue, Mar 15, 2011 at 9:12 AM, Sturla Molden stu...@molden.no wrote:
Den 14.03.2011 23:10, skrev Matthieu Brucher:
- Fortran 95 has an excellent array support, which is not currently
available in C/C++ (perhaps with ArBB?)
In C++ you can actually make array libraries that behave almost
On 3/15/11 8:33 AM, Charles R Harris wrote:
There really isn't a satisfactory array library for C++. The fact that
every couple of years there is another project to produce one testifies
to that fact.
And I think not just the fact that there is not one, but that perhaps
C++ the language, or
The usual expectation is that (when possible) repr() returns a value
that you can eval() to get the original data back. But,
from numpy import *
a = array( [ 16.5069863163822 ] )
b = eval(repr(a))
a-b
array([ -3.6111e-09])
import numpy.testing
Den 15.03.2011 16:33, skrev Charles R Harris:
There really isn't a satisfactory array library for C++. The fact that
every couple of years there is another project to produce one
testifies to that fact.
In order to be competitive against Fortran 95, an array library for C++
must do all the
Den 15.03.2011 17:10, skrev Christopher Barker:
I've been slowly arriving to the conclusion that that is no place for
C++ in programming. If you really need to twiddle bits, use C. If you
need high performance numerics, use Fortran. If you need high level
complex data structures, use Python
Den 15.03.2011 16:05, skrev Matthieu Brucher:
BTW, instead of Blitzz++, you have vigra and Eigen that are the new
equivalent libraries, and you may want to keep an eye on Intel's ArBB.
Intel's ArBB is interesting. But in order for this to work, there must
be an idustry standard that other
On Tue, Mar 15, 2011 at 12:10, Christopher Barker chris.bar...@noaa.govwrote:
On 3/15/11 8:33 AM, Charles R Harris wrote:
There really isn't a satisfactory array library for C++. The fact that
every couple of years there is another project to produce one testifies
to that fact.
And I
Hi,
On Sun, Mar 13, 2011 at 12:07 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Sun, Mar 13, 2011 at 11:51 AM, Christoph Gohlke cgoh...@uci.edu wrote:
On 3/13/2011 11:29 AM, Matthew Brett wrote:
Hi
On Sun, Mar 13, 2011 at 9:54 AM, Christoph Gohlkecgoh...@uci.edu wrote:
On
Tue, 15 Mar 2011 10:06:09 -0700, Matthew Brett wrote:
Sorry to ask, and I ask partly because I'm in the middle of a py3k port,
but is this the right fix to this problem? I was confused by the
presence of the old PyString_AsString function.
It's not a correct fix. The original code seems also
Hi,
On Tue, Mar 15, 2011 at 10:12 AM, Pauli Virtanen p...@iki.fi wrote:
Tue, 15 Mar 2011 10:06:09 -0700, Matthew Brett wrote:
Sorry to ask, and I ask partly because I'm in the middle of a py3k port,
but is this the right fix to this problem? I was confused by the
presence of the old
On Tue, Mar 15, 2011 at 11:12 AM, Pauli Virtanen p...@iki.fi wrote:
Tue, 15 Mar 2011 10:06:09 -0700, Matthew Brett wrote:
Sorry to ask, and I ask partly because I'm in the middle of a py3k port,
but is this the right fix to this problem? I was confused by the
presence of the old
On Tue, Mar 15, 2011 at 10:20 AM, Mark Sienkiewicz sienk...@stsci.eduwrote:
The usual expectation is that (when possible) repr() returns a value
that you can eval() to get the original data back. But,
from numpy import *
a = array( [ 16.5069863163822 ] )
b = eval(repr(a))
a-b
Den 15.03.2011 18:01, skrev Yung-Yu Chen:
I really love the capabilities Fortran provides for quick array
operations, especially floating-points. What I think Fortran is still
lacking is better support of C pointers and structures.
Fortran 90 has user defined types, but they are not ABI
On Tue, Mar 15, 2011 at 12:39, Charles R Harris
charlesr.har...@gmail.com wrote:
Yes, I think it is a bug. IIRC, it also shows up for object arrays.
It's extremely long-standing, documented, intentional behavior dating
back to Numeric.
[~]
|1 import Numeric
[~]
|2 a = Numeric.array( [
Tue, 15 Mar 2011 10:23:35 -0700, Matthew Brett wrote:
[clip]
OK - I realize I'm being very lazy here but, do you mean:
PyErr_Format(PyExc_ValueError,
field named %s not found.,
PyString_AsString(PyObject_Repr(index)));
The
Robert Kern wrote:
On Tue, Mar 15, 2011 at 12:39, Charles R Harris
charlesr.har...@gmail.com wrote:
Yes, I think it is a bug. IIRC, it also shows up for object arrays.
It's extremely long-standing, documented, intentional behavior dating
back to Numeric.
[~]
|1 import Numeric
Hi,
On Tue, Mar 15, 2011 at 11:07 AM, Pauli Virtanen p...@iki.fi wrote:
Tue, 15 Mar 2011 10:23:35 -0700, Matthew Brett wrote:
[clip]
OK - I realize I'm being very lazy here but, do you mean:
PyErr_Format(PyExc_ValueError,
field named %s not found.,
On Sun, Mar 13, 2011 at 11:59 PM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Mon, Mar 14, 2011 at 2:22 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Mar 13, 2011 at 7:47 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Mar 13, 2011 at 8:23 PM, Mark Wiebe
On Tue, Mar 15, 2011 at 13:10, Mark Sienkiewicz sienk...@stsci.edu wrote:
Robert Kern wrote:
On Tue, Mar 15, 2011 at 12:39, Charles R Harris
charlesr.har...@gmail.com wrote:
Yes, I think it is a bug. IIRC, it also shows up for object arrays.
It's extremely long-standing, documented,
Just downloaded and got the same problems. I'll try to debug and provide a
decent analysis, but it would take some days as I am busy with other things.
Thank you,
Nadav.
From: numpy-discussion-boun...@scipy.org
On Tue, Mar 15, 2011 at 12:26 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Mar 13, 2011 at 11:59 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Mon, Mar 14, 2011 at 2:22 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Mar 13, 2011 at 7:47 PM, Charles R Harris
On 3/15/2011 10:12 AM, Pauli Virtanen wrote:
Tue, 15 Mar 2011 10:06:09 -0700, Matthew Brett wrote:
Sorry to ask, and I ask partly because I'm in the middle of a py3k port,
but is this the right fix to this problem? I was confused by the
presence of the old PyString_AsString function.
It's
On 3/15/2011 11:34 AM, Christoph Gohlke wrote:
On 3/15/2011 10:12 AM, Pauli Virtanen wrote:
Tue, 15 Mar 2011 10:06:09 -0700, Matthew Brett wrote:
Sorry to ask, and I ask partly because I'm in the middle of a py3k port,
but is this the right fix to this problem? I was confused by the
On Tue, Mar 15, 2011 at 7:22 PM, nore...@github.com wrote:
Branch: refs/heads/master
Home: https://github.com/numpy/numpy
Commit: aada93306acfb4e2eb816faf32652edf8825cf45
https://github.com/numpy/numpy/commit/aada93306acfb4e2eb816faf32652edf8825cf45
Author: Mark Wiebe
On Tue, Mar 15, 2011 at 3:25 PM, Sebastian Haase seb.ha...@gmail.com wrote:
On Tue, Mar 15, 2011 at 7:22 PM, nore...@github.com wrote:
Branch: refs/heads/master
Home: https://github.com/numpy/numpy
Commit: aada93306acfb4e2eb816faf32652edf8825cf45
On Tue, Mar 15, 2011 at 12:25 PM, Sebastian Haase seb.ha...@gmail.comwrote:
snip
Log Message:
---
ENH: Add 'subok' parameter to PyArray_NewLikeArray, np.empty_like,
np.zeros_like, and np.ones_like
This way, the sub-type can be avoided if necessary. This helps mitigate,
but
On Tue, Mar 15, 2011 at 8:31 PM, Nadav Horesh nad...@visionsense.com wrote:
Just downloaded and got the same problems. I'll try to debug and provide a
decent analysis, but it would take some days as I am busy with other things.
Thanks, that'd be appreciated; I am able to load images using
Charles R Harris wrote:
On Tue, Mar 15, 2011 at 9:12 AM, Sturla Molden stu...@molden.no wrote:
Den 14.03.2011 23:10, skrev Matthieu Brucher:
- Fortran 95 has an excellent array support, which is not currently
available in C/C++ (perhaps with ArBB?)
In C++ you can actually make array
Hi,
On Tue, Mar 15, 2011 at 10:23 AM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Tue, Mar 15, 2011 at 10:12 AM, Pauli Virtanen p...@iki.fi wrote:
Tue, 15 Mar 2011 10:06:09 -0700, Matthew Brett wrote:
Sorry to ask, and I ask partly because I'm in the middle of a py3k port,
but is
Hi,
I just wrote a short test for indexing into structured arrays with
strings and found this:
In [4]: a = np.zeros((1,), dtype=[('f1', 'i4')])
In [5]: a['f1']
Out[5]: array([0])
In [6]: a['f2'] # not present - error
---
On 3/15/2011 5:13 PM, Matthew Brett wrote:
Hi,
On Tue, Mar 15, 2011 at 10:23 AM, Matthew Brettmatthew.br...@gmail.com
wrote:
Hi,
On Tue, Mar 15, 2011 at 10:12 AM, Pauli Virtanenp...@iki.fi wrote:
Tue, 15 Mar 2011 10:06:09 -0700, Matthew Brett wrote:
Sorry to ask, and I ask partly
Hi,
On Tue, Mar 15, 2011 at 5:30 PM, Christoph Gohlke cgoh...@uci.edu wrote:
On 3/15/2011 5:13 PM, Matthew Brett wrote:
Hi,
On Tue, Mar 15, 2011 at 10:23 AM, Matthew Brettmatthew.br...@gmail.com
wrote:
Hi,
On Tue, Mar 15, 2011 at 10:12 AM, Pauli Virtanenp...@iki.fi wrote:
Tue, 15
Hi Matt,
Actually, based on what is happening under the covers I think this behavior
makes sense.
a['f2'] would in theory grab the whole column, and so 'f2' not existing is a
field error.
a[0] on the other hand grabs the first row from the full structured array
and treats this as (key, value)
On Wed, Mar 16, 2011 at 2:31 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Tue, Mar 15, 2011 at 12:26 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Mar 13, 2011 at 11:59 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi Mark, I see you just did this, but is there
On Tue, Mar 15, 2011 at 9:29 PM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Wed, Mar 16, 2011 at 2:31 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Mar 15, 2011 at 12:26 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Mar 13, 2011 at 11:59 PM, Ralf Gommers
Hi,
On Tue, Mar 15, 2011 at 5:55 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Tue, Mar 15, 2011 at 5:30 PM, Christoph Gohlke cgoh...@uci.edu wrote:
On 3/15/2011 5:13 PM, Matthew Brett wrote:
Hi,
On Tue, Mar 15, 2011 at 10:23 AM, Matthew Brettmatthew.br...@gmail.com
wrote:
Example code:
from pylab import *
cos(random([1000,1000]))
Q1. Is there any reason that numpy doesn't automatically support
parallelization of element-wise operations like the example, even with Atlas
or MKL?
Q2. What is the most advisable way to parallelize(multi-thread) the example?
numexpr?
On Wed, Mar 16, 2011 at 11:29 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Wed, Mar 16, 2011 at 2:31 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Mar 15, 2011 at 12:26 PM, Mark Wiebe mwwi...@gmail.com wrote:
I pushed one more small API change to
On Wed, Mar 16, 2011 at 12:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Mar 15, 2011 at 9:29 PM, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
On Wed, Mar 16, 2011 at 2:31 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Mar 15, 2011 at 12:26 PM,
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