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Dipartimento di Informatica e
Scienze dell’Informazione
High performance implementation of Python for
CLI/.NET with JIT compiler generation for dynamic
languages.
by
Antonio Cuni
ThesesSeries
DISI-TH-2010-05
DISI, Universitadi Genova
v. Dodecaneso35,16146Genova,Italy
http://www.disi.unige.it/
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Universita degli Studi di Genova
Dipartimento di Informatica e
Scienze dell’Informazione
Dottorato di Ricerca in Informatica
Ph.D. Thesis in Computer Science
High performance implementation of Python
for CLI/.NET with JIT compiler generation
for dynamic languages.
by
Antonio Cuni
July, 2010
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Dottorato di Ricercain Informatica
Dipartimento di Informatica e Scienze dell’Informazione
Universitadegli Studi di Genova
DISI,Univ. diGenova
viaDodecaneso35
I-16146Genova,Italy
http://www.disi.unige.it/
Ph.D. Thesis in ComputerScience (S.S.D.INF/01)
SubmittedbyAntonioCuni
DISI,Univ. diGenova
cuni@disi.unige.it
Dateofsubmission: July 2010
Title: HighperformanceimplementationofPythonfor CLI/.NETwithJITcompiler
generatorfor dynamiclanguages.
Advisor: DavideAncona
DISI,Univ. diGenova
davide@disi.unige.it
Ext. Reviewers:
MichaelLeuschel
STUPSGroup,UniversityofDusseldorf
leuschel@cs.uni-duesseldorf.de
MartinvonLowis
Hasso-Plattner-Institut
martin.vonloewis@hpi.uni-potsdam.de
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Abstract
Python is a highly  exible and open source scripting language which has signicantly
grown in popularity in the last few years. However, all the existing implementations
prevent programmers from developing very ecient code. This thesis describes a new
andmoreecientimplementationofthelanguage,obtainedbydevelopingnewtechniques
and adapting old ones which have not yet been applied to Python. Even though the
specic implementation considered here targets the .NET framework, extreme care has
beentakentodevelopacompiler easily portable toother platforms,andreusablefor the
implementationofother dynamiclanguages.
Asalanguage,Pythonisveryhardtoimplementeciently:thepresenceofhighlydynamic
constructsmakesstaticanalysis ofprogramsextremely dicult,thuspreventingaheadof
time(AOT)compilers togenerateecient target code.
CPython, the reference implementation ofthe language,is aninterpreter and its perfor-
mance is far from optimal. Jythonand IronPython are two alternative implementations
that target respectively the Java Virtual Machine and the .NET framework: dierently
from CPython,they are compilers which generatebytecodeforthe underlingvirtualma-
chine,butoftentheir performanceis notbetter thanCPython.
An alternative solution to this problem, which has been already investigated for other
object-oriented languages, is the implementation of a Just in Time (JIT) compiler. Un-
fortunately,writingaJITcompilerisfar from beinganeasy task,andmostof the times
eciency is gainedatthecostofadramaticlossofportability.
Toachievethis,thePyPyproject[pyp]hasbeenexploited. PyPyconsistsofbothamature,
fully compatible Python interpreter and a framework to transform it in various way. In
particular,itprovidesaJITcompilergenerator,whichautomaticallyturnstheinterpreter
intoaJITcompiler.
Thecontribution ofthis thesis includes both the work done in cooperationwith the rest
of the PyPy team for enhancing the PyPy JIT compiler generator, and for developing
aback-end to target the .NET framework. In particular, implementing a JIT compiler
for the.NETvirtualmachinerather thanfor aCPUhas allowedthe combinationoftwo
dierent JITcompilationlayers: thePyPy one,which produces .NETbytecode,and the
.NET one which produces executable machine code. This thesis demonstrates that this
combinationgives verygoodresults intermsofperformance.
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Finally,adoptingthe PyPy approach turned out tobe successfulfor ensuring portability
and reuse. Indeed, it is relatively simple to implement newdynamic languages in PyPy
andget JITcompilersalmostforfree,butitisalsopossibletodevelopnewback-endsfor
theJITgenerator,inordertotargetnewplatforms,e.g. theJVM.
2
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ToNicoloandVeronica
Consideratelavostrasemenza:
fattinonfosteavivercomebruti,
maper seguir virtuteecanoscenza.
Consideryourorigin:
youwerenotborntolivelikebrutes,
buttofollowvirtueandknowledge
DivinaCommedia,
InfernocantoXXVI,118-120
(Dante Alighieri)
Acknowledgements
First,Iwishtothank DavideAnconaforhis supportduringtheyearsofmy PhDandhis
always usefulsuggestionsduringthewritingofthisthesis.
IamgratefultoallthepeopleIhadasfriendsandcolleagues,bothatDISIinGenoaandin
the PyPy Team: Marco,Giovanni,Elena, Walter, Paolo, Daniele,Armin,CarlFriedrich,
Maciej,Samuele,Holger,Bea,Laura,Jacob,andallthepeoplethatIsurelyforgot: Ihope
you won’t take it as a cliche when I say that spending time with you has really been a
pleasure.
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