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Vertex-magic total labeling of a graph by distributed constraint solving in the mozart system

Identifieur interne : 000128 ( PascalFrancis/Corpus ); précédent : 000127; suivant : 000129

Vertex-magic total labeling of a graph by distributed constraint solving in the mozart system

Auteurs : Adam Meissner ; Krzysztof Zwierzynski

Source :

RBID : Pascal:07-0471617

Descripteurs français

English descriptors

Abstract

In this paper we present how a problem of a vertex-magic total labeling of a graph may be expressed in terms of constraint programming over finite domains (CP(FD)) in the Mozart system. A program representing the problem is easily transformable into a parallel version, which can be executed on distributed machines. We describe the results of experiments for estimating a speedup, a work granularity and an overhead of a parallel version in comparison with sequential computations.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A05       @2 3911
A08 01  1  ENG  @1 Vertex-magic total labeling of a graph by distributed constraint solving in the mozart system
A09 01  1  ENG  @1 Parallel processing and applied mathematics : 6th International Conference, PPAM 2005, Poznań, Poland, September 11-14, 2005 : revised selected papers
A11 01  1    @1 MEISSNER (Adam)
A11 02  1    @1 ZWIERZYNSKI (Krzysztof)
A14 01      @1 Institute of Control and Information Engineering, Poznań University of Technology, pl. M. Sklodowskiej-Curie 5 @2 60-965 Poznań @3 POL @Z 1 aut. @Z 2 aut.
A20       @1 952-959
A21       @1 2006
A23 01      @0 ENG
A26 01      @0 3-540-34141-2
A43 01      @1 INIST @2 16343 @5 354000153603741150
A44       @0 0000 @1 © 2007 INIST-CNRS. All rights reserved.
A45       @0 7 ref.
A47 01  1    @0 07-0471617
A60       @1 P @2 C
A61       @0 A
A64 01  2    @0 Lecture notes in computer science
A66 01      @0 DEU
A66 02      @0 USA
C01 01    ENG  @0 In this paper we present how a problem of a vertex-magic total labeling of a graph may be expressed in terms of constraint programming over finite domains (CP(FD)) in the Mozart system. A program representing the problem is easily transformable into a parallel version, which can be executed on distributed machines. We describe the results of experiments for estimating a speedup, a work granularity and an overhead of a parallel version in comparison with sequential computations.
C02 01  X    @0 001D02B04
C03 01  X  FRE  @0 Calcul réparti @5 01
C03 01  X  ENG  @0 Distributed computing @5 01
C03 01  X  SPA  @0 Cálculo repartido @5 01
C03 02  X  FRE  @0 Algorithme parallèle @5 02
C03 02  X  ENG  @0 Parallel algorithm @5 02
C03 02  X  SPA  @0 Algoritmo paralelo @5 02
C03 03  X  FRE  @0 Grosseur grain @5 18
C03 03  X  ENG  @0 Grain size @5 18
C03 03  X  SPA  @0 Grosor grano @5 18
C03 04  X  FRE  @0 Satisfaction contrainte @5 23
C03 04  X  ENG  @0 Constraint satisfaction @5 23
C03 04  X  SPA  @0 Satisfaccion restricción @5 23
C03 05  X  FRE  @0 Optimisation sous contrainte @5 24
C03 05  X  ENG  @0 Constrained optimization @5 24
C03 05  X  SPA  @0 Optimización con restricción @5 24
C03 06  X  FRE  @0 Calcul séquentiel @4 CD @5 96
C03 06  X  ENG  @0 Sequential computation @4 CD @5 96
C03 06  X  SPA  @0 Càlculo secuencial @4 CD @5 96
N21       @1 309
N44 01      @1 OTO
N82       @1 OTO
pR  
A30 01  1  ENG  @1 PPAM 2005 @2 6 @3 Poznan @4 2005

Format Inist (serveur)

NO : PASCAL 07-0471617 INIST
ET : Vertex-magic total labeling of a graph by distributed constraint solving in the mozart system
AU : MEISSNER (Adam); ZWIERZYNSKI (Krzysztof)
AF : Institute of Control and Information Engineering, Poznań University of Technology, pl. M. Sklodowskiej-Curie 5/60-965 Poznań/Pologne (1 aut., 2 aut.)
DT : Publication en série; Congrès; Niveau analytique
SO : Lecture notes in computer science; Allemagne; Da. 2006; Vol. 3911; Pp. 952-959; Bibl. 7 ref.
LA : Anglais
EA : In this paper we present how a problem of a vertex-magic total labeling of a graph may be expressed in terms of constraint programming over finite domains (CP(FD)) in the Mozart system. A program representing the problem is easily transformable into a parallel version, which can be executed on distributed machines. We describe the results of experiments for estimating a speedup, a work granularity and an overhead of a parallel version in comparison with sequential computations.
CC : 001D02B04
FD : Calcul réparti; Algorithme parallèle; Grosseur grain; Satisfaction contrainte; Optimisation sous contrainte; Calcul séquentiel
ED : Distributed computing; Parallel algorithm; Grain size; Constraint satisfaction; Constrained optimization; Sequential computation
SD : Cálculo repartido; Algoritmo paralelo; Grosor grano; Satisfaccion restricción; Optimización con restricción; Càlculo secuencial
LO : INIST-16343.354000153603741150
ID : 07-0471617

Links to Exploration step

Pascal:07-0471617

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