[pypy-dev] could it be that cpyext is faster than python + cffi?
Matti Picus
matti.picus at gmail.com
Fri Feb 13 14:46:41 CET 2015
I am close to releasing a blog post about numpy.linalg
https://gist.github.com/mattip/25680e68fe7e2856fe0c
Note the benchmark section, this is not a typo. Here's how I got to the
conclusion that cpyext is faster than python+cffi.
I installed numpy from the pypy/numpy repo on a nightly after 2.5.0
pip install git+https://bitbucket.org/pypy/numpy.git
I then benchmarked the two pypy methods of calling numpy.linalg.inv()
via this script which simply calls linalg.inv() for different sized ndarray.
https://gist.github.com/mattip/a7b22dc237fb09a46758
$pypy inverse.py 10
UserWarning: npy_clear_floatstatus, npy_set_floatstatus_invalid not found
warn('npy_clear_floatstatus, npy_set_floatstatus_invalid not found')
after 999999, for n= 10, time=20.64, 20.64 msec/1000 loops
and
$USE_CPYEXT=yes pypy inverse.py 10
after 999999, for n= 10, time= 8.52, 8.52 msec/1000 loops
Any thoughts? Comments on the blog post?
Matti
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