Mark: I'm just wondering what you wanted to do with NumPy from Cython -- a stopgap solution for SIMD, iterator support, or something else?
SIMD using NumPy really isn't the best idea long-term because of all the temporaries needed in compound expressions, which is really bad on the memory bus for anything but tiny arrays. For that I'd rather look at finding a nogil core of numexpr or similar. Of course, there is a number of convenient NumPy utility functions which would be cool to have in nogil mode... But given that the GIL is a problem in so many cases, I wonder how far it is really possible to go even given the refactored numpy core. -- Sent from my Android phone with K-9 Mail. Please excuse my brevity. Pauli Virtanen <[email protected]> wrote: 31.10.2011 09:44, mark florisson kirjoitti: [clip] > Ah, that's too bad. Is it anywhere near ready, or was it abandoned for > ironclad? Could you point me to the code? It's quite ready and working, and as far as I understand, Enthought is shipping it. I haven't used it, though. The code is here: https://github.com/numpy/numpy-refactor Pauli_____________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
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