Resource usage analysis of logic programs via abstract interpretation using sized types

Serrano Mena, Alejandro; López García, Pedro y Hermenegildo, Manuel V. (2014). Resource usage analysis of logic programs via abstract interpretation using sized types. "Theory and Practice of Logic Programming", v. 14 (n. 4-5); pp. 739-754. ISSN 1471-0684. https://doi.org/10.1017/S147106841400057X.

Descripción

Título: Resource usage analysis of logic programs via abstract interpretation using sized types
Autor/es:
  • Serrano Mena, Alejandro
  • López García, Pedro
  • Hermenegildo, Manuel V.
Tipo de Documento: Artículo
Título de Revista/Publicación: Theory and Practice of Logic Programming
Fecha: Julio 2014
Volumen: 14
Materias:
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (925kB) | Vista Previa

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 resource 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 inferring both 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.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
FP7318337Sin especificarSin especificarSin especificar
Comunidad de MadridTIC/1465 PROMETIDOS-CMSin especificarSin especificarSin especificar

Más información

ID de Registro: 33658
Identificador DC: http://oa.upm.es/33658/
Identificador OAI: oai:oa.upm.es:33658
Identificador DOI: 10.1017/S147106841400057X
URL Oficial: http://journals.cambridge.org/action/displayJournal?jid=TLP
Depositado por: Biblioteca Facultad de Informatica
Depositado el: 23 Ene 2015 10:02
Ultima Modificación: 23 Ene 2015 10:02
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM