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). Cheers, Gaël _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
