Fri, 16 Oct 2009 12:07:10 +0200, Francesc Alted wrote: [clip] > IMO, NumPy can be improved for unaligned data handling. For example, > Numexpr is using this small snippet: > > from cpuinfo import cpu > if cpu.is_AMD() or cpu.is_Intel(): > is_cpu_amd_intel = True > else: > is_cpu_amd_intel = False > > for detecting AMD/Intel architectures and allowing the code to avoid > memcpy() calls for the unaligned arrays. > > The above code uses the excellent ``cpuinfo.py`` module from Pearu > Peterson, which is distributed under NumPy, so it should not be too > difficult to take advantage of this for avoiding unnecessary copies in > this scenario.
I suppose this kind of check is easiest to do at compile-time, and defining a -DFORCE_ALIGNED? This wouldn't cause performance penalties for those architectures for which they are not necessary. -- Pauli Virtanen _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
