Re: [Numpy-discussion] Numpy, BLAS & LAPACK

[David M. C. <co...@ph...>]

On Fri, 2 Jun 2006 19:09:01 +0200
Joris De Ridder <jo...@st...> wrote:

> Just to be sure, what exactly is affected when one uses the slower
> algorithms when neither BLAS or LAPACK is installed?  For sure it
> will affect almost every function in numpy.linalg, as they use
> LAPACK_lite. And I guess that in numpy.core the dot() function 
> uses the lite numpy/core/blasdot/_dotblas.c routine? Any other
> numpy functions that are affected?

Using a better default dgemm for matrix multiplication when an optimized
BLAS isn't available has been on my to-do list for a while. I think it
can be speed up by a large amount on a generic machine by using
blocking of the matrices.

Personally, I perceive no difference between my g77-compiled LAPACK,
and the gcc-compiled f2c'd routines in lapack_lite, if an optimized
BLAS is used. And lapack_lite has fewer bugs than the version of LAPACK
available off of netlib.org, as I used the latest patches I could
scrounge up (mostly from Debian).

-- 
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|David M. Cooke
http://arbutus.physics.mcmaster.ca/dmc/ |co...@ph...