Abstract | ||
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The main goal oi this paper is to show how a cluster of workstations can be efficiently used to solve large-scale network flow problems. More specifically, the attention has been focused on the linear minimum cost how problem, so far one of the most important among all network flow problems. For its solution, an efficient parallel algorithm that resembles the one proposed in [1] has been used. The results collected are very encouraging and underscore that good reduction in the execution time can be obtained by using distributed multicomputer. |
Year | DOI | Venue |
---|---|---|
1997 | 10.1016/S0927-5452(98)80010-5 | PARALLEL COMPUTING: FUNDAMENTALS, APPLICATIONS AND NEW DIRECTIONS |
Keywords | Field | DocType |
transportation problem | Flow network,Computer science,Parallel algorithm,Parallel computing,Workstation,Execution time,Minimum-cost flow problem,Distributed computing | Conference |
Volume | ISSN | Citations |
12 | Advances in Parallel Computing | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
P. Beraldi | 1 | 334 | 27.07 |
L. Grandinetti | 2 | 37 | 4.28 |
F. Guerriero | 3 | 66 | 6.66 |