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2002 | OriginalPaper | Buchkapitel

WSDFU: Program Transformation System Based on Generalized Partial Computation

verfasst von : Yoshihiko Futamura, Zenjiro Konishi, Robert Glück2

Erschienen in: The Essence of Computation

Verlag: Springer Berlin Heidelberg

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Generalized Partial Computation (GPC) is a program transformation method utilizing partial information about input data and auxiliary functions as well as the logical structure of a source program. GPC uses both an inference engine such as a theorem prover and a classical partial evaluator to optimize programs. Therefore, GPC is more powerful than classical partial evaluators but harder to implement and control. We have implemented an experimental GPC system called WSDFU (Waseda Simplify-Distribute-Fold-Unfold). This paper demonstrates the power of the program transformation system as well as its theorem prover and discusses some future works.

Metadaten
Titel
WSDFU: Program Transformation System Based on Generalized Partial Computation
verfasst von
Yoshihiko Futamura
Zenjiro Konishi
Robert Glück2
Copyright-Jahr
2002
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-36377-7_16

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