Towards an abstract domain for resource analysis of logic programs using sized types

Serrano, Alejandro; López García, Pedro y Hermenegildo, Manuel V. (2013). Towards an abstract domain for resource analysis of logic programs using sized types. En: "23rd Workshop on Logic-based methods in Programming Environments", 24-25 Aug 2013, Estambul, Turquía. pp. 1-15.

Descripción

Título: Towards an abstract domain for resource analysis of logic programs using sized types
Autor/es:
  • Serrano, Alejandro
  • López García, Pedro
  • Hermenegildo, Manuel V.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 23rd Workshop on Logic-based methods in Programming Environments
Fechas del Evento: 24-25 Aug 2013
Lugar del Evento: Estambul, Turquía
Título de Revista/Publicación: Proceedings of the 23rd Workshop on Logic-based methods in Programming Environments (WLPE 2013)
Fecha: Agosto 2013
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 29543
Identificador DC: http://oa.upm.es/29543/
Identificador OAI: oai:oa.upm.es:29543
Depositado por: Memoria Investigacion
Depositado el: 24 Jun 2014 08:07
Ultima Modificación: 21 Abr 2016 23:56
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