PyPy The state of 2015-04 @matthiasendler
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PyPyThe state of
2015-04 @matthiasendler
Why PyPy?
"Scientific American" Vol. XXXVI, No. 19, May 12, 1877 p.294 New York: Munn &Company (Publisher)
Why PyPy?
What keeps you from using switching to Python 3?
Why PyPy?
No more support for older versions
Major bugfixes
New language features
Improved performance
Incentives to switch to a new language version
Why PyPy?
More speed means…
less servers
new possibilities
Why PyPy?
Two ways to speed up a scripting language
• Improve the implementation
• Improve the runtime
Why PyPy?
Two ways to speed up a scripting language
• Improve the implementation
• Improve the runtime
Why PyPy?
Warning:Benchmarks are always error-prone.Always measure yourself!This is just a trend.
0
35
70
105
140
1.8.7 1.9.3 2.0.0 2.1.0 2.2.0
Relative Ruby performance
Why PyPy?
Source: isrubyfastyet.com
speed (%)
version
baseline (100%)
+12%+30% +35% +36%
Why PyPy?
0
65
130
195
260
5.2 5.3 5.4 5.5 5.6 7.0
Relative PHP performance
Source: PHPNG a new core for PHP7 by Dmitry Stogov
baseline (100%)
speed (%)
version
+13%+36% +39% +50%
+149%
Why PyPy?
25
50
75
100
2.6 2.7 3.4
Relative Python performance
Source: pystone benchmark on Core i7, 16 GB RAM
baseline (100%)
speed (%)
version
-10%-3%
Why PyPy?
0
38
75
113
150
2007 2009 2011 2013 2015
PHP Python Ruby
baseline (100%)
speed (%)
time
Relative performance improvements per language over time
Why PyPy?
The net result of the 3.0 generalizations is that Python 3.0 runs the pystone benchmark around 10% slower than Python 2.5. Most likely the biggest cause is the removal of special-casing for small integers. There’s room for improvement, but it will happen after 3.0 is released!
docs.python.org/3/whatsnew/3.0.html
Why PyPy?
Two ways to speed up a scripting language
• Improve the implementation
• Improve the runtime
Why PyPy?
Ruby Rubinius
PyPy
HHVM
Python
PHP
About PyPy
Cottrell & Babcock's air spring printing pressSource: Scientific American, June 22, 1872
What is PyPy?
Followup of Psyco runtime
Version 1.0 in 2007
Python written in Python
Just-In-Time compiler
Compatible with Python 2.7 and 3.4
What is PyPy?
Followup of Psyco runtime
Version 1.0 in 2007
Python written in Python RPython
Just-In-Time compiler
Compatible with Python 2.7 and 3.4
PyPy implementation
• Variables in any given control flow path must have only a single type • No multiple inheritance • No generators • Most dunder-methods can't be used.
RPython is a subset of Python
http://www.quora.com/PyPy/How-annoying-is-writing-RPython-compared-to-Python
PyPy implementation
Tracing JIT compiler
http://www.aosabook.org/en/pypy.html
Your Python program
PyPy implementation
Tracing JIT compiler
http://www.aosabook.org/en/pypy.html
„Hot“ loop
PyPy implementation
Tracing JIT compiler
http://www.aosabook.org/en/pypy.html
can_enter_jit()
jit_merge_point()
PyPy implementation
Tracing JIT compiler
http://www.aosabook.org/en/pypy.html
Optimized machine code
Upright boring machine, 1872Source: Scientific American, Nov 23,1872
Demo
The future of PyPy
Berryman's steam trap, 1872Source: Scientific American, Sept 14,1872
Project milestones
2008 Django support
2010 First JIT-compiler
2011 Compatibility with CPython 2.7
2014 Basic ARM support
CPython 3 support
Improve compatibility with C extensions
NumPyPy
Multi-threading support
Project milestones
2008 Django support
2010 First JIT-compiler
2011 Compatibility with CPython 2.7
2014 Basic ARM support
CPython 3 support
Improve compatibility with C extensions
NumPyPy
Multi-threading support
PyPy STM
PyPy STM
10 loops, best of 3: 1.2 sec per loop10 loops, best of 3: 822 msec per loop
from threading import Thread
def count(n): while n > 0: n -= 1
def run(): t1 = Thread(target=count, args=(10000000,)) t1.start() t2 = Thread(target=count, args=(10000000,)) t2.start() t1.join(); t2.join()
def count(n): while n > 0: n -= 1
def run(): count(10000000) count(10000000)
Inside the Python GIL - David Beazley
PyPy STM
T1
T2
T3
xyz
Thread 1
Shared memoryT1
T2
T3
Thread 2
PyPy STM
T1
T2
T3
x = 3
xyz
Thread 1
Shared memoryT1
T2
T3
y=5
Thread 2
PyPy STM
T1
T2
T3
3
5
xyz
Thread 1
Shared memoryT1
T2
T3
Thread 2
PyPy STM
T1
T2
T3
x = 18y= 12
3
5
xyz
Thread 1
Shared memoryT1
T2
T3
x = 2
Thread 2
PyPy STM
T1
T2
T3
2
5
xyz
Thread 1
Shared memoryT1
T2
T3
Thread 2
Lathrop's sewing machine, 1872Source: Scientific American, Oct 26,1872
Demo
Conclusion
…already awesome for sequential tasks
…gradually improving parallel performance
…a very important Python project
PyPy is…
Further readingPython 3 Performance
https://speakerdeck.com/pyconslides/python-3-dot-3-trust-me-its-better-than-python-2-dot-7-by-dr-brett-cannon
https://www.youtube.com/watch?v=UJPdhx5zTaw
Further readingRPython
http://tratt.net/laurie/blog/entries/fast_enough_vms_in_fast_enough_time
Further readingPyPy STM
http://pypy.readthedocs.org/en/latest/stm.html
http://morepypy.blogspot.de/
Demo code from http://www.ripton.net/blog/?p=104
Blueprints provided by Marcel Douwe Dekker under Creative Commons. https://www.flickr.com/photos/marceldouwedekker/7564782310/in/photostream/ Blueprint by Joy Oil Co Ltd (http://commons.wikimedia.org/wiki/File:Joy_Oil_gas_station_blueprints.jpg)
Credits
by Simon Child
and by Luis Prado
by Océan Bussard
by Luis Rodrigues
by Mister Pixel
by Alexander Wiefel
by Darin S
by spotted paint
The icons used in this presentation were downloaded from The Noun Project. Thanks to the following artists:
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