Program transformation system based on generalized partial computation

  • Authors:
  • Yoshihiko Futamura;Zenjiro Konishi;Robert Glück

  • Affiliations:
  • Waseda University, 3-4-1 Okubo, Shinjuku, Tokyo Japan;Waseda University, 3-4-1 Okubo, Shinjuku, Tokyo Japan;Waseda University, 3-4-1 Okubo, Shinjuku, Tokyo 169-8555 Japan, PRESTO, JST

  • Venue:
  • New Generation Computing - Partial evaluation and program transformation
  • Year:
  • 2002

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Abstract

Generalized Partial Computation (GPC) is a program transformation method utilizing partial information about input data, abstract data types of auxiliary functions and 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.