Cited by 20Logic, programming, and type systemsAdvanced Database Systems and QueriesLogic, Reasoning, and Knowledge

Partial evaluation of the “real thing”

Leuschel, Michael·1994·Lecture Notes in Computer Science

Integrity signals

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Crossref · 10.1007/3-540-58792-6_8

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  • By partially evaluating a meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, the authors automatically obtain very efficient specialised update procedures that execute faster than other integrity checking procedures proposed in the literature.

    “By partially evaluating this meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, we are able to automatically obtain very efficient specialised update procedures, executing faster than other integrity checking procedures proposed in the literature.”
  • By partially evaluating a meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, the authors automatically obtain very efficient specialised update procedures that execute faster than other integrity checking procedures proposed in the literature.

    “By partially evaluating this meta-interpreter for certain transaction patterns, using a partial evaluation technique presented in earlier work, we are able to automatically obtain very efficient specialised update procedures, executing faster than other integrity checking procedures proposed in the literature.”
  • [48] uses a freeness and sharing analysis to produce more efficient specialised programs by removing useless bindings as well as useless if-then-else tests.

    “The exact details on how to unfold the if-then-else can be found in [48], where a freeness and sharing analysis are used to produce more efficient specialised programs by removing useless bindings as well as useless if-then-else tests.”
  • The method of [48] tries to strictly enforce the Prolog left-to-right selection rule.

    “The method of [48] tries to strictly enforce the Prolog left-to-right selection rule.”
  • [48] extends the concept of LD-derivations and LD-trees to LDR-derivations and LDR-trees, which in addition to left-most resolution steps also contain residualisation steps.

    “[48] extends the concept of LD-derivations and LD-trees to LDR-derivations and LDR-trees, which in addition to left-most resolution steps also contain residualisation steps.”

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Authors
Leuschel, M.
Venue
Lecture Notes in Computer Science
Published
1994
Pages
122-137
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1522948470
Cited by
20
References
0
Citations by year
2016: 2
FWCI
2.47
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Logic, programming, and type systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Database Systems and Queries
  • Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
Keywords
partial evaluation, Prolog, partial deduction, denotational semantics, adverse effects, if-then-else, program specialization

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