Stephen Simmons wrote: > The question though is whether all of the inner loop's overhead is > necessary. > My counterexample using numpy.dot() suggests there's considerable scope > for improvement, at least for certain common cases.
Well, yes. You most likely have an ATLAS-accelerated dot(). The ATLAS put a lot of work into making matrix products really fast. However, they did so at a cost: different architectures use different code. That's not really something we can do in the core of numpy without making numpy as difficult to build as ATLAS is. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
