On 4/18/07, Robert Kern <[EMAIL PROTECTED]> wrote: > Sebastian Haase wrote: > > On 4/17/07, Anne Archibald <[EMAIL PROTECTED]> wrote: > >> On 18/04/07, Robert Kern <[EMAIL PROTECTED]> wrote: > >>> Sebastian Haase wrote: > >>> > >>>> Hi, > >>>> I don't know much about ATLAS -- would there be other numpy functions > >>>> that *could* or *should* be implemented using ATLAS !? > >>>> Any ? > >>> Not really, no. > >> ATLAS is a library designed to implement linear algebra functions > >> efficiently on many machines. It does things like reorder the > >> multiplications and additions in matrix multiplication to make the > >> best possible use of your cache, as measured by empirical testing. > > > > So, this means that 'matrixmultiply' could / should be using ATLAS > > for the same reason as 'dot' does - right ? > > matrixmultiply() is just a long-deprecated alias to dot(). Of course - I should have turn my brain on before hitting 'send'.... Does ATLAS/BLAS do anything special for element wise multiplication and alike - if for example the data is not aligned or not contiguous?
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