MALLBA: a library of skeletons for combinatorial optimisation

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/97560

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.contributor	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.author	Alba, E
dc.contributor.author	Almeida, F
dc.contributor.author	Blesa Aguilera, Maria Josep
dc.contributor.author	Cabeza, J
dc.contributor.author	Cotta, C
dc.contributor.author	Díaz, M
dc.contributor.author	Dorta, I
dc.contributor.author	Gabarró Vallès, Joaquim
dc.contributor.author	León, C
dc.contributor.author	Luna Garcia, Jesus
dc.contributor.author	Moreno Boronat, Lidia Ana
dc.contributor.author	Pablos, C
dc.contributor.author	Petit Silvestre, Jordi
dc.contributor.author	Rojas Espinosa, Alfonso
dc.contributor.author	Xhafa Xhafa, Fatos
dc.date	2002-02
dc.identifier.citation	Alba, E., Almeida, F., Blesa, M., Cabeza, J., Cotta, C., Díaz, M., Dorta, I., Gabarro, J., León, C., Luna Garcia, Jesus, Moreno, L., Pablos, C., Petit, J., Rojas, A., Xhafa, F. "MALLBA: a library of skeletons for combinatorial optimisation". 2002.
dc.identifier.uri	http://hdl.handle.net/2117/97560
dc.language.iso	eng
dc.relation	LSI-02-18-R
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica
dc.subject	MALLBA
dc.subject	Combinatorial optimization
dc.subject	Skeletons library
dc.title	MALLBA: a library of skeletons for combinatorial optimisation
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/report
dc.description.abstract	The MALLBA project tackles the resolution of combinatorial optimization problems using algorithmic skeletons implemented in C++. MALLBA offers three families of generic resolution methods: exact, heuristic and hybrid. Moreover, for each resolution method, MALLBA provides three different implementations: sequential, parallel for local area networks, and parallel for wide area networks (currently under development). This paper shows the architecture of the MALLBA library, presents some of its skeletons and offers several computational results to show the viability of the approach.

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