A perfect speedup parallel algorithm for the assignment problem on complete weighted bipartite graphs:

Abstract: "Parallel algorithms for special cases of the assignment problem have been designed. These algorithms assume the edge weights are integers and within a range. In one case the algorithm is good if the maximum of the absolute values of the edge weights is polynomial in the number of ver...

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Bibliographische Detailangaben
Hauptverfasser: Osiakwan, Constantine N. (VerfasserIn), Akl, Selim G. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Kingston, Ontario, Canada 1989
Schriftenreihe:Queen's University <Kingston, Ontario> / Department of Computing and Information Science: Technical report 258
Schlagworte:
Zusammenfassung:Abstract: "Parallel algorithms for special cases of the assignment problem have been designed. These algorithms assume the edge weights are integers and within a range. In one case the algorithm is good if the maximum of the absolute values of the edge weights is polynomial in the number of verticies, n. In another case the time-processor product exceeds the running time for best sequential algorithm for the assignment problem
In this paper, we present an adaptive parallel algorithm for the assignment problem of a complete weighted bipartite graph, where the edge weights can be real valued. The algorithm is designed using the exclusive-read exclusive-write parallel random-access machine (EREW PRAM) model of parallel computation. For a complete weighted bipartite graph of n verticies, the algorithm runs in O(n[superscript 3]/p + n[superscript 2]p) time using p processors. We obtain a perfect speedup, with respect to the O(n[superscript 3]) Hungarian method, for p [lesser than or equal to the square root of n].
Beschreibung:43 S.

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