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  • 标题:Parallelizing Network Flow Using ϵ-relaxation Algorithm
  • 本地全文:下载
  • 作者:Kalpesh Adhatrao ; Abhishek Aswar¬ ; Aishwarya Iyer
  • 期刊名称:International Journal of Electronics and Computer Science Engineering
  • 电子版ISSN:2277-1956
  • 出版年度:2013
  • 卷号:2
  • 期号:3
  • 页码:903-911
  • 出版社:Buldanshahr : IJECSE
  • 摘要:Maximum flow problem is a fundamental network flow problem which involves finding a feasible and optimal flow in network consisting of single source and single sink. It has wide ranges of research and commercial applications. Many sequential algorithms such as Ford-Fulkerson algorithm, Edmonds-Karp algorithm, Goldberg’s “generic” maximum flow algorithm, ϵ-relaxation algorithm have been designed to solve this problem. In this paper, we present parallel implementation of ϵ-relaxation algorithm which has been carried out over a cluster consisting of 1 master and 4 slaves nodes in order to study and improve the efficiency of solving maximum flow problem on multi-computer architecture.
  • 关键词:Maximum flow; Admissible edges; Push list; MPI
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