I have a system call-heavy program ( https://stromberg.dnsalias.org/~strombrg/backshift/), that is faster with pypy on one machine, and faster with CPython+Cython on another. Same code, different machines, different relative speeds for the two implementations.
For a long time, I thought pypy was just faster at CPU and slower at I/O, but it turns out that's not always true. HTH. On Sat, May 1, 2021 at 1:50 PM Emre Yavuz <emre.yavuz...@gmail.com> wrote: > Hello, > > Today I was doing some experiment with CPython and PyPy. I was very > impressed by the performance of PyPy, when it’s doing operations in user > space, it was almost 20 times faster than CPython. > > Then I decided to switch our Python CLI to PyPy and I run one of our major > command in our CLI and results were worse than CPython. It got slower! Then > I started to research it more. Our CLI’s characteristic is that it calls > multiple other programs and read a lot of configuration data and create > many files which mean all of those operations were related to sys calls. > > Then I run some simple test cases, tried to read and write millions of > lines to a file or create and kill multiple processes. All of these > operations were almost 5 times slower than CPython. I run my tests both > MacOS and RHEL with latest version of PyPy3.7 > > My question is that, is that something known? Or can it be some > improvement area that can be contributed? > > Best, > Emre Yavuz > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev > -- Dan Stromberg
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