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  1. Proceedings of the 4th workshop on the Implementation, Compilation, Optimization of Object-Oriented Languages and Programming Systems (ICOOOLPS '09)
  2. Tracing the meta-level: PyPy's tracing JIT compiler
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Towards an actor-based concurrent machine model
An efficient lock-aware transactional memory implementation
Tracing the meta-level: PyPy's tracing JIT compiler
Faster than C#: efficient implementation of dynamic languages on .NET
Compiling structural types on the JVM: a comparison of reflective and generative techniques from Scala's perspective
Compiling generics through user-directed type specialization
Thread and execution-context specific barriers via dynamic method versioning
Using program metadata to support SDT in object-oriented applications
Automatic vectorization using dynamic compilation and tree pattern matching technique in Jikes RVM
Just-In-Time compilation on ARM processors

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Tracing the meta-level: PyPy's tracing JIT compiler

Content Provider ACM Digital Library
Author Rigo, Armin Fijalkowski, Maciej Bolz, Carl Friedrich Cuni, Antonio
Abstract We attempt to apply the technique of Tracing JIT Compilers in the context of the PyPy project, i.e., to programs that are interpreters for some dynamic languages, including Python. Tracing JIT compilers can greatly speed up programs that spend most of their time in loops in which they take similar code paths. However, applying an unmodified tracing JIT to a program that is itself a bytecode interpreter results in very limited or no speedup. In this paper we show how to guide tracing JIT compilers to greatly improve the speed of bytecode interpreters. One crucial point is to unroll the bytecode dispatch loop, based on two kinds of hints provided by the implementer of the bytecode interpreter. We evaluate our technique by applying it to two PyPy interpreters: one is a small example, and the other one is the full Python interpreter.
Starting Page 18
Ending Page 25
Page Count 8
File Format PDF
ISBN 9781605585413
DOI 10.1145/1565824.1565827
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-07-06
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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