Den 11.06.2010 03:02, skrev Charles R Harris: > > But for an initial refactoring it probably falls in the category of > premature optimization. Another thing to avoid on the first go around > is micro-optimization, as it tends to complicate the code and often > doesn't do much for performance.
First, to refractor NumPy we must get rid of array iterators as Python objects. Retaining them as Python objects defies the whole purpose. Second, creating an array of pointers has the advantage of being more friendly to OpenMP and multi-core CPUs. We don't need to serialize access to an iterator, and we allow OpenMP to do load balancing. For things like FFT on vectors along an axis in a multidimensional array (e.g. in multi-dimensional FFTs), this is not a micro-optimization. Not to mention that it is easier to iterate over an array than use a complicated iterator object in C. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
