Treffer: Nesting openMP in MPI to implement a hybrid communication method of parallel simulated annealing on a cluster of SMP nodes
Title:
Nesting openMP in MPI to implement a hybrid communication method of parallel simulated annealing on a cluster of SMP nodes
Authors:
Source:
Recent advances in parallel virtual machine and message passing interface (Sorrento, 18-21 September 2005)Lecture notes in computer science. :18-27
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Calcul réparti, Distributed computing, Cálculo repartido, Configuration symétrique, Symmetric configuration, Configuración simétrica, Envoi message, Message passing, Haute performance, High performance, Alto rendimiento, Machine virtuelle, Virtual machine, Máquina virtual, Multiprocesseur, Multiprocessor, Multiprocesador, Mémoire partagée, Shared memory, Memoria compartida, Méthode combinatoire, Combinatorial method, Método combinatorio, Méthode heuristique, Heuristic method, Método heurístico, Méthode optimisation, Optimization method, Método optimización, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Processus communicant, Communicating process, Proceso comunicante, Recuit simulé, Simulated annealing, Recocido simulado
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Silesian University of Technology, Department of Computer Science, Akademicka 16, 44-100 Gliwice, Poland
High-Performance Computing-Center (HLRS), University of Stuttgart, Nobelstr 19, 70550 Stuttgart, Germany
High-Performance Computing-Center (HLRS), University of Stuttgart, Nobelstr 19, 70550 Stuttgart, Germany
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17182772
Database:
PASCAL Archive
Weitere Informationen
Concurrent computing can be applied to heuristic methods for combinatorial optimization to shorten computation time, or equivalently, to improve the solution when time is fixed. This paper presents several communication schemes for parallel simulated annealing, focusing on a combination of OpenMP nested in MPI. Strikingly, even though many publications devoted to either intensive or sparse communication methods in parallel simulated annealing exist, only a few comparisons of methods from these two distinctive families have been published; the present paper aspires to partially fill this gap. Implementation for VRPTW-a generally accepted benchmark problem-is used to illustrate the advantages of'the hybrid method over others tested.