On Tue, Jan 14, 2014 at 11:38 PM, Robert Grosse <n210241048...@gmail.com> wrote: > Hi, I have been trying to use Pypy to speed up the Krakatau decompiler > (https://github.com/Storyyeller/Krakatau). It is a large, pure Python > application with several compute intensive parts, so I thought it would work > well. Unfortunately, there is no clear speedup, and Pypy requires several > times as much memory as well, making it unusual for larger inputs. > > For example, decompiling a quarter of ASM, I got the following results > (execution time, memory usage) > > cpython 64 - 62.5s, 102.6kb > cpython 32 - 69.2s, 54.5kb > pypy 2.1.0 - 106.5s, 277.8kb > pypy 2.2.1 - 109.2s, 194.6kb > > Sometimes, 2.2.1 is faster than 2.1.0, but they're both clearly much worse > than CPython. > > These tests were performed on Windows 7 64bit using the prebuilt 32bit > binaries of Pypy. I tested the 32bit version of CPython too, to see if the > problem was a lack of 64bit support. However, CPython 32bit also vastly > outperformed Pypy. > > Execution time was measured using time.time(). Memory usage was measured by > watching the Windows Resource Manager and recording the peak Private value. > Similar patterns were seen in Working Set, etc. > > I thought the increased memory usage at least might be explained by constant > overhead from compiled code or from it not running long enough to trigger > full garbage collection. However, Pypy continues to use several times as > much memory on much larger examples. > > Does anyone know what could be going on here? Pypy isn't normally slower > than CPython. Is there a way for me to tell what the problem is?
Hi. It depends on your workload a lot. If you want us to have a look into it, you need to provide a clear and reproducible way to run a benchmark. Cheers, fijal _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
