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  • 标题:Gossiping and Broadcasting versus Computing Functions in Networks
  • 本地全文:下载
  • 作者:Martin Dietzfelbinger
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1996
  • 卷号:1996
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:The fundamental assumption in the classical theory of dissemination of information in interconnection networks (gossiping and broadcasting) is that atomic pieces of information are communicated. We show that, under suitable assumptions about the way processors may communicate, computing an n-ary function that has a "critical input" (e.g., the OR of n bits) and distributing the result to all processors on an n-processor network takes exactly as long as performing gossiping in the graph that defines the network structure. A similar relation exists between the problem of computing functions with the output appearing at only one processor and the complexity of broadcasting in the corresponding graph. We further characterize the complexity of broadcasting one bit in a synchronous network with the only restriction that in one step a processor can send only one message. These results also apply to EREW PRAMs and distributed memory machines (DMMs) with the COLLISION or the ARBITRARY conflict resolution rule.
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