Compiling Natural Semantics

Natural Semantics has become a popular tool among programming language researchers for specifying many aspects of programming languages. However, due to the lack of practical tools for implementation, the natural semantics formalism has so far largely been limited to theoretical applications. This b...

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Bibliographic Details
Other Authors: Pettersson, Mikael (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1999, 1999
Edition:1st ed. 1999
Series:Lecture Notes in Computer Science
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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100 1 |a Pettersson, Mikael  |e [editor] 
245 0 0 |a Compiling Natural Semantics  |h Elektronische Ressource  |c edited by Mikael Pettersson 
250 |a 1st ed. 1999 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 1999, 1999 
300 |a XVIII, 246 p  |b online resource 
505 0 |a 1 Introduction -- 2 Preliminaries -- 3 The Design of RML -- 4 Examples -- 5 Implementation Overview -- 6 Reducing Nondeterminism -- 7 Compiling Pattern Matching -- 8 Compiling Continuations -- 9 Simulating Tailcalls in C -- 10 Performance Evaluation -- 11. Concluding Remarks -- A. The Definition of RML. 
653 |a Compilers (Computer programs) 
653 |a Computer Science Logic and Foundations of Programming 
653 |a Compilers and Interpreters 
653 |a Computer science 
653 |a Natural Language Processing (NLP) 
653 |a Natural language processing (Computer science) 
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490 0 |a Lecture Notes in Computer Science 
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520 |a Natural Semantics has become a popular tool among programming language researchers for specifying many aspects of programming languages. However, due to the lack of practical tools for implementation, the natural semantics formalism has so far largely been limited to theoretical applications. This book introduces the rational meta-language RML as a practical language for natural semantics specifications. The main part of the work is devoted to the problem of compiling natural semantics, actually RML, into highly efficient code. For this purpose, an effective compilation strategy for RML is developed and implemented in the rml2c compiler. This compiler ultimately produces low-level C code. Benchmarking results show that rml2c-produced code is much faster than code resulting from compilers based on alternative implementation approaches