I am doing a calculation where one call numpy.dot ends up taking 90% of
the time (the array is huge: (61373, 500) ).

Any chance I can make this faster? I would believe BLAS/ATLAS would be
behind this, but from my quick analysis (ldd on numpy/core/multiarray.so)
it doesn't seem so. Have I done something stupid when building numpy
(disclaimer: I am on a system I don't know well --Mandriva--, so I could
very well have done something stupid).


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