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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. Faster than C#: efficient implementation of dynamic languages on .NET
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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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Conference Proceedings

Faster than C#: efficient implementation of dynamic languages on .NET

Content Provider ACM Digital Library
Author Ancona, Davide Rigo, Armin Cuni, Antonio
Abstract The Common Language Infrastructure (CLI) is a virtual machine expressly designed for implementing statically typed languages such as C#, therefore programs written in dynamically typed languages are typically much slower than C# when executed on .NET. Recent developments show that Just In Time (JIT) compilers can exploit runtime type information to generate quite efficient code. Unfortunately, writing a JIT compiler is far from being simple. In this paper we report our positive experience with automatic generation of JIT compilers as supported by the PyPy infrastructure, by focusing on JIT compilation for .NET. Following this approach, we have in fact added a second layer of JIT compilation, by allowing dynamic generation of more efficient .NET bytecode, which in turn can be compiled to machine code by the .NET JIT compiler. The main and novel contribution of this paper is to show that this two-layers JIT technique is effective, since programs written in dynamic languages can run on .NET as fast as (and in some cases even faster than) the equivalent C# programs. The practicality of the approach is demonstrated by showing some promising experiments done with benchmarks written in a simple dynamic language.
Starting Page 26
Ending Page 33
Page Count 8
File Format PDF
ISBN 9781605585413
DOI 10.1145/1565824.1565828
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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