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A positive supercompiler

Part of: JFP Research Articles

Published online by Cambridge University Press:  07 November 2008

M. H. Sørensen ,
R. Glück  and
N. D. Jones
M. H. Sørensen
Affiliation:
DIKU, Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2100 Copenhagen ø, Denmark (e-mail: rambo@diku.dk)
R. Glück
Affiliation:
DIKU, Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2100 Copenhagen ø, Denmark (e-mail: rambo@diku.dk)
N. D. Jones
Affiliation:
DIKU, Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2100 Copenhagen ø, Denmark (e-mail: rambo@diku.dk)
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Abstract

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We introduce a positive supercompiler, a version of Turchin's supercompiler maintaining only positive information during transformation, and using folding without generalization. The positive supercompiler can also be regarded as a variant of Wadler's deforestation maintaining an increased amount of information. We compare our algorithm to deforestation and, in less detail, to partial evaluation, Turchin's supercompiler, Generalized Partial Computation (GPC), and partial deduction by classifying these transformers by the amount of information they maintain during transformation. This factor is significant, as a differentiating example reveals: positive supercompilation, Turchin's supercompiler, GPC and partial deduction can specialize a general pattern matcher with respect to a fixed pattern to obtain an efficient matcher very similar to the Knuth–Morris–Pratt algorithm. Deforestation and traditional partial evaluation achieve this effect only after a non-trivial hand rewriting of the general matcher.

Information

Type
Articles
Information
Journal of Functional Programming , Volume 6 , Issue 6 , November 1996 , pp. 811 - 838
Copyright
Copyright © Cambridge University Press 1996

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