[pypy-dev] Very slow Julia example on PyPy/numpy - can you help me understand why it is slow?
arigo at tunes.org
Sat Feb 22 18:34:26 CET 2014
On 20 February 2014 21:40, Ian Ozsvald <ian at ianozsvald.com> wrote:
> compiler technologies. The simple answer might be 'because pypynumpy
> is young' and that'd be fine - at least I'd have an answer if someone
> asks the question in my talk. If someone has more details, that'd be
> really interesting too. Is there a fundamental reason why pypynumpy
> couldn't do the example as fast as cython/numba/pythran?
Indeed, it's because numpypy is young and not optimized so far. Note
also that while big improvements are certainly possible and planned
for this simple example, making consistent big improvements for more
cases requires some serious involvement. Unlike other projects like
Numba, PyPy is a more diverse project, and right now only one of the
few core people is working part-time on numpypy.
As a general rule, I'd say that we're missing someone really
interested in numpy.
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