[Numpy-discussion] performance matrix multiplication vs. matlab
Charles R Harris
Tue Jun 9 21:30:01 CDT 2009
On Tue, Jun 9, 2009 at 7:46 PM, Benoit Jacob <firstname.lastname@example.org>wrote:
> 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.
> > I don't know if that's even a goal of eigen
> Not a goal indeed, though there's agreement that such a bridge would
> be a nice add-on. (Would be a one-directional bridge though. You can't
> express with BLAS/LAPACK all what you can express with the Eigen API).
> > (it started as a project for KDE, to support high performance core
> > computations for things like spreadsheet and co).
> Yes, that's how it started 3 years ago. A lot changed since, though. See
> > Eigen is:
> > - not mature.
> Fair enough
> > - 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 wonder if it is possible to have a compiler/parser that does nothing but
translate templates into c? Say, something written in python ;) Name
mangling would be a problem but could perhaps be simplified for the somewhat
limited space needed for numpy/scipy.
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