邮政模型中的多消息广播

A. Bar-Noy, S. Kipnis
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引用次数: 34

摘要

广播是许多消息传递系统中广泛使用的操作。然而,大多数现有的广播算法并没有解决分布式内存并行计算机和高速通信网络的几个新兴趋势。这些趋势包括(i)将系统视为一个完全连接的处理器集合,(ii)将大数据打包成消息序列,以及(iii)容忍通信延迟。本文探讨了邮政模式中的广播问题,以解决这些问题。在具有n个处理器和通信延迟lambda的消息传递系统中,作者提供了两种广播m条消息的算法。这个问题的时间的下界是(m-1)+f/下标lambda /(n),其中f/下标lambda /(n)是广播一条消息的最佳时间。他们提出的算法PARTITION最多需要2m+f/sub lambda /(n)+O(lambda)时间,而算法D-D-TREES最多需要m+2f/sub lambda /(n)+O(lambda)时间。
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Multiple message broadcasting in the postal model
Broadcasting is a widely used operation in many message-passing systems. Most existing broadcasting algorithms, however, do not address several emerging trends in distributed-memory parallel computers and high-speed communication networks. These trends include (i) treating the system as a fully connected collection of processors, (ii) packetizing large data into sequences of messages, and (iii) tolerating communication latencies. This paper explores the broadcasting problem in the postal model that addresses these issues. The authors provide two algorithms for broadcasting m messages in a message-passing system with n processors and communication latency lambda . A lower bound on the time for this problem is (m-1)+f/sub lambda /(n), where f/sub lambda /(n) is the optimal time for broadcasting one message. They present algorithm PARTITION that takes at most 2m+f/sub lambda /(n)+O( lambda ) time, and algorithm D-D-TREES that takes at most m+2f/sub lambda /(n)+O( lambda ) time.<>
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