001     811184
005     20210129223755.0
024 7 _ |a 10.1016/0167-8191(88)90122-6
|2 doi
024 7 _ |a 0167-8191
|2 ISSN
024 7 _ |a 1872-7336
|2 ISSN
024 7 _ |a WOS:A1988R035300019
|2 WOS
024 7 _ |a altmetric:2874362
|2 altmetric
037 _ _ |a FZJ-2016-03693
082 _ _ |a 004
100 1 _ |a Gurke, Renate
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a The approximate solution of the Euclidean traveling salesman problem on a CRAY X-MP
260 _ _ |a Amsterdam [u.a.]
|c 1988
|b North-Holland, Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1467793955_25740
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The efficient use of MIMD computers calls for a careful choice of adequate algorithms as for an implementation taking into account the particular architecture. To demonstrate these facts, a parallel algorithm to find an approximate solution to the Euclidean Traveling Salesman Problem (ETSP) is presented. The algorithm is a parallelization of Karp's partitioning algorithm. It is a divide-and-conquer method for solving the ETSP approximately. Since the successor vertex to any vertex in the tour is usually a nearby vertex, the problem can be ‘geographically’ partitioned into subproblems which then can be solved independently. The resulting subtours can be combined into a single tour which is an approximate solution to the ETSP. The algorithm is implemented on a CRAY X-MP with two and four processors, and results using macrotasking and microtasking are presented.
536 _ _ |a 899 - ohne Topic (POF3-899)
|0 G:(DE-HGF)POF3-899
|c POF3-899
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
773 _ _ |a 10.1016/0167-8191(88)90122-6
|g Vol. 8, no. 1-3, p. 177 - 183
|0 PERI:(DE-600)1466340-5
|n 1-3
|p 177 - 183
|t Parallel computing
|v 8
|y 1988
|x 0167-8191
909 C O |o oai:juser.fz-juelich.de:811184
|p VDB
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF3-890
|0 G:(DE-HGF)POF3-899
|2 G:(DE-HGF)POF3-800
|v ohne Topic
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b PARALLEL COMPUT : 2014
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-Juel1)VDB62
|k ZAM
|l Zentralinstitut für Angewandte Mathematik
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)VDB62
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)JSC-20090406


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21