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Vincent Nys

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LOPSTR Conference 2018 Conference Paper

Compiling Control as Offline Partial Deduction

  • Vincent Nys
  • Danny De Schreye

Abstract We present a new approach to a technique known as compiling control, whose aim is to compile away special mechanisms for non-standard atom selection in logic programs. It has previously been conjectured that compiling control could be implemented as an instance of the first Futamura projection, in which an interpreter is specialized for an input program. However, the exact nature of such an interpreter and of the required technique for specialization were never specified. In this work, we propose a Prolog meta-interpreter which applies the desired non-standard selection rule and which is amenable to specialization using offline partial deduction. After the initial analysis phase of compiling control, we collect annotations to specialize the interpreter using the Logen system for offline partial deduction. We also show that the result of the specialization is equivalent to the program obtained using the traditional approach to compiling control. In this way, we simplify the synthesis step.

LOPSTR Conference 2014 Conference Paper

Analysing and Compiling Coroutines with Abstract Conjunctive Partial Deduction

  • Danny De Schreye
  • Vincent Nys
  • Colin J. Nicholson

Abstract We provide an approach to formally analyze the computational behavior of coroutines in Logic Programs and to compile these computations into new programs, not requiring any support for coroutines. The problem was already studied near to 30 years ago, in an analysis and transformation technique called Compiling Control. However, this technique had a strong ad hoc flavor: the completeness of the analysis was not well understood and its symbolic evaluation was also very ad hoc. We show how Abstract Conjunctive Partial Deduction, introduced by Leuschel in 2004, provides an appropriate setting to redefine Compiling Control. Leuschel’s framework is more general than the original formulation, it is provably correct, and it can easily be applied for simple examples. We also show that the Abstract Conjunctive Partial Deduction framework needs some further extension to be able to deal with more complex examples.

v2026.09.13