Hi, On 27 July 2016 at 10:35, Papa, Florin <florin.p...@intel.com> wrote: > I am sorry, I mistakenly switched the header of the table, the middle column > is actually the result for PyPy NumPyPy.
The resulting table makes sense to me: it shows that PyPy NumPy (with cpyext) is, in most case, running at the same speed as CPython NumPy; and the rare exceptions can be guessed to be because these benchmarks happen to invoke a much larger number of CPython C API calls than all the others. The table also shows that PyPy NumPyPy is really slower, even with vectorization enabled. It seems that the current focus of our work, on continuing to improve cpyext instead of numpypy, is a good idea. A bientôt, Armin. _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
