Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-18 Thread Benoit Jacob
2010/1/18 Robert Kern : > On Mon, Jan 18, 2010 at 10:26, Benoit Jacob wrote: >> 2010/1/18 Robert Kern : >>> On Mon, Jan 18, 2010 at 09:35, Benoit Jacob >>> wrote: >>> >>>> Sorry for continuing the licensing noise on your list --- I though >&g

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-18 Thread Benoit Jacob
2010/1/18 Robert Kern : > On Mon, Jan 18, 2010 at 09:35, Benoit Jacob wrote: > >> Sorry for continuing the licensing noise on your list --- I though >> that now that I've started, I should let you know that I think I >> understand things more clearly now ;) > >

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-18 Thread Benoit Jacob
2010/1/17 Benoit Jacob : > 2010/1/17 Robert Kern : >> On Sun, Jan 17, 2010 at 13:18, Benoit Jacob wrote: >>> 2010/1/17 Robert Kern : >>>> On Sun, Jan 17, 2010 at 12:11, Benoit Jacob >>>> wrote: >>>>> 2010/1/17 Robert Kern : >>

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-17 Thread Benoit Jacob
2010/1/17 Robert Kern : > On Sun, Jan 17, 2010 at 13:18, Benoit Jacob wrote: >> 2010/1/17 Robert Kern : >>> On Sun, Jan 17, 2010 at 12:11, Benoit Jacob >>> wrote: >>>> 2010/1/17 Robert Kern : >>>>> On Sun, Jan 17, 2010 at 08:52, Benoit

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-17 Thread Benoit Jacob
2010/1/17 Robert Kern : > On Sun, Jan 17, 2010 at 12:11, Benoit Jacob wrote: >> 2010/1/17 Robert Kern : >>> On Sun, Jan 17, 2010 at 08:52, Benoit Jacob >>> wrote: >>>> 2010/1/17 David Cournapeau : >>> >>>>> There are several iss

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-17 Thread Benoit Jacob
2010/1/17 Robert Kern : > On Sun, Jan 17, 2010 at 08:52, Benoit Jacob wrote: >> 2010/1/17 David Cournapeau : > >>> There are several issues with eigen2 for NumPy usage: >>>  - using it as a default implementation does not make much sense IMHO, >>> as it

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-17 Thread Benoit Jacob
2010/1/17 David Cournapeau : > On Sun, Jan 17, 2010 at 2:20 PM, Benoit Jacob > wrote: > >> Couldn't you simply: >>  - either add LGPL-licensed code to a third_party subdirectory not >> subject to the NumPy license, and just use it? This is common >> pr

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2010-01-16 Thread Benoit Jacob
>> Hi, >> >> I while back, someone talked about aigen2(http://eigen.tuxfamily.org/). In >> their benchmark they give info that they are competitive again mkl and goto >> on matrix matrix product. They are not better, but that could make a good >> default implementation for numpy when their is no bl

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2009-06-10 Thread Benoit Jacob
Hi David, 2009/6/9 David Cournapeau : > Hi Benoit, > > Benoit Jacob wrote: >> No, because _we_ are serious about compilation times, unlike other c++ >> template libraries. But granted, compilation times are not as short as >> a plain C library either. >> >

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2009-06-10 Thread Benoit Jacob
2009/6/9 Charles R Harris : >> >   - heavily expression-template-based C++, meaning compilation takes >> > ages >> >> No, because _we_ are serious about compilation times, unlike other c++ >> template libraries. But granted, compilation times are not as short as >> a plain C library either. > > I w

Re: [Numpy-discussion] performance matrix multiplication vs. matlab

2009-06-09 Thread Benoit Jacob
Hi, I'm one of the Eigen developers and was pointed to your discussion. I just want to clarify a few things for future reference (not trying to get you to use Eigen): > No, eigen does not provide a (complete) BLAS/LAPACK interface. True, > I don't know if that's even a goal of eigen Not a goal