Unexpectedly bad performance of stackless and greenlet on PyPy

test_channel_stackless.py

# according to this benchmark stackless.channel is 100x slower on PyPy compared to Stackless
"""
Stackless result:

$ stackless2.7-static test_channel_stackless.py 
1000000 send took 0.397s

Stackless version:

$ stackless2.7-static 
Python 2.7.1 Stackless 3.1b3 060516 (release27-maint, Oct 30 2011, 11:49:35) 
[GCC 4.1.2] on linux2

PyPy result:

$ ~/src/pypy-2.0-beta1/bin/pypy test_channel_stackless.py 
1000000 send took 49.354s

PyPy version:

$ ~/src/pypy-2.0-beta1/bin/pypy 
Python 2.7.3 (7e4f0faa3d51, Nov 16 2012, 16:56:51)
[PyPy 2.0.0-beta1 with GCC 4.4.3] on linux2
"""

import stackless
from time import time

N = 1000 * 1000
count = N


def func(ch):
    global count
    while count > 0:
        ch.send(ch.receive())
        count -= 1


ch = stackless.channel()
start = time()
stackless.tasklet(func)(ch)
ch.send(True)
stackless.tasklet(func)(ch)
stackless.run()
took = time() - start
assert not count, count
print '%s send took %.3fs' % (N, took)

test_switch.py

# according to this benchmark greenlet is 20x times slower on PyPy than it is on CPython
"""
CPython result:

$ python test_switch.py 
1000000 switches took 0.404s

CPython version:

$ python 
Python 2.7.3 (default, Aug  1 2012, 05:16:07) 
[GCC 4.6.3] on linux2

PyPy result:

$ ~/src/pypy-2.0-beta1/bin/pypy test_switch.py 
1000000 switches took 9.338s

PyPy version:

$ ~/src/pypy-2.0-beta1/bin/pypy 
Python 2.7.3 (7e4f0faa3d51, Nov 16 2012, 16:56:51)
[PyPy 2.0.0-beta1 with GCC 4.4.3] on linux2
"""

import greenlet
from time import time


N = 1000 * 1000
count = N


def func(next):
    global count
    while count > 0:
        next.switch()
        count -= 1


g1 = greenlet.greenlet(func)
main = greenlet.getcurrent()

start = time()
while count > 0:
    g1.switch(main)
    count -= 1

took = time() - start
assert count <= 0, count
print ('%s switches took %.3fs' % (N, took))

"There are a few things that did not make it to the 2.0 beta 1, which are being actively worked on. Greenlets support in the JIT is one that we would like to have before 2.0 final."

http://morepypy.blogspot.co.uk/2012/11/pypy-20-beta-1.html

using pypy's jitframe-on-heap branch pypy is a bit faster on my machine:

$ ./pypy-jitframe-on-heap-2013-02-06/bin/pypy test_switch.py
1000000 switches took 0.209s
$ python test_switch.py                                     
1000000 switches took 0.361s