Memorias de investigación
Ponencias en congresos:
Towards an Abstract Domain for Resource Analysis of Logic Programs Using Sized Types
Año:2013

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
We present a novel general resource analysis for logic programs based on sized types.Sized types are representations that incorporate structural (shape) information and allow expressing both lower and upper bounds on the size of a set of terms and their subterms at any position and depth. They also allow relating the sizes of terms and subterms occurring at different argument positions in logic predicates. Using these sized types, the resource analysis can infer both lower and upper bounds on the resources used by all the procedures in a program as functions on input term (and subterm) sizes, overcoming limitations of existing analyses and enhancing their precision. Our new resource analysis has been developed within the abstract interpretation framework, as an extension of the sized types abstract domain, and has been integrated into the Ciao preprocessor, CiaoPP. The abstract domain operations are integrated with the setting up and solving of recurrence equations for both, inferring size and resource usage functions. We show that the analysis is an improvement over the previous resource analysis present in CiaoPP and compares well in power to state of the art systems.
Internacional
Si
Nombre congreso
23rd Workshop on Logic-based Methods in Programming Environments (WLPE 2013)
Tipo de participación
960
Lugar del congreso
Estambul
Revisores
Si
ISBN o ISSN
DOI
Fecha inicio congreso
24/08/2013
Fecha fin congreso
25/08/2013
Desde la página
1
Hasta la página
1000
Título de las actas
Proceedings of the 23rd Workshop on Logic-based methods in Programming Environments (WLPE 2013)

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Computación lógica, Lenguajes, Implementación y Paralelismo (CLIP)
  • Departamento: Inteligencia Artificial