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A fast parallel max-flow algorithm

delete2022-11-01
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Yossi Peretz *
Y
Yigal Fischler
DOI:10.1016/j.jpdc.2022.07.003delete
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摘要

摘要

En 中文
A new parallel algorithm for the max-flow problem on directed networks with single-source and single -sink is proposed. The algorithm is based on tree sub-networks and on efficient parallel algorithm to compute max-flows on the tree sub-networks. The latter algorithm is proved to be work-optimal and time-optimal. The parallel implementation of the complete algorithm is more efficient than the best known parallel algorithm for the max-flow problem in terms of time-complexity and the sequential implementation of the algorithm achieves the best known sequential time-complexity, without using any complex data-structures or complex manipulations on the network. (C) 2022 Elsevier Inc. All rights reserved.
Keyword:
Combinatorial optimization
Complexity theory
Discrete optimization
Network flow problems
Parallel algorithms

期刊

Journal of Parallel and Distributed Computing 封面图
Journal of Parallel and Distributed Computing
IF:
4
论文数:
3.8K
被引数:
4.8K

机构

I
Intel Corporation
学者数:
2.7K
论文数: 2.0K
被引数: 6
I
intel israel
学者数:
17
论文数: 12
被引数: 0
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