|
Ublas : |
From: Dave Steffen (dgsteffen_at_[hidden])
Date: 2006-08-01 15:28:24
Gunter Winkler writes:
> John Maddock schrieb:
> > emijah_s_at_[hidden] wrote:
> >
> >> Could you please elaborate on the last part? We are using uBlas for a
> >> robotics application and the typical size of a matrix tends to be
> >> pretty small(around 6x6 typical, 35x35 maximum). So it doesn't really
> >> make sense to use atlas which tends to be effective for large
> >> matrices.
> >>
> >
> > I wonder have you looked at MTL ? It's optimised for small matices and
> > known to be very fast in this case: http://osl.iu.edu/research/mtl/
> >
> this is only partially true. The performance of small MTL matrices was
> quite bad until someone wrote short and lean specializations for small
> matrix/vector products. I can give more details (and the files) if
> someone is interested. The specializations for a given size were created
> by a python script.
Tvmet is also worth a look, if you're looking around; explicitly
build for small problems ("tiny vector matrix expression template",
or some such) and it's extremely fast, according to my profiling.
----------------------------------------------------------------------
Dave Steffen, Ph.D.
Software Engineer IV Disobey this command!
Numerica Corporation
ph (970) 419-8343 x27
fax (970) 223-6797 - Douglas Hofstadter
dgsteffen_at_[hidden]
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