分布式内存并行计算机中高效的全对全广播方案

Eunseuk Oh, Iyad A. Kanj
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引用次数: 2

摘要

分布式内存并行计算机是指每个处理器都有自己的私有内存的并行计算机。在这样一个系统中,处理器通过互连网络交换消息来通信信息,而不是将其存储在共享内存中。在这类系统中,重要的通信方式之一是数据广播。全对全广播是指每个处理器将其消息发送给所有其他处理器,并从系统中所有其他处理器接收消息的过程。在度量分布式内存并行模型的性能时,通常要考虑两个复杂度元素:时间复杂度和消息复杂度。本文在半双工和全双工通信能力下,提出了一种有效的星型网络通信方案,以减少星型网络模型的通信时间和消息复杂度。将该方案的复杂度度量与已知边界进行比较,以验证该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient all-to-all broadcast schemes in distributed-memory parallel computers
Distributed-memory parallel computers refer to parallel computers in which each processor has its own private memory. In such a system, processors communicate information by exchanging messages via the interconnection network rather than storing it in shared memory. One of the important communication methods in such systems is data broadcasting. All-to-all broadcasting is the process in which each processor sends its message to all other processors, and receives messages from all other processors in the system. Two complexity elements are usually considered when measuring the performance of a distributed-memory parallel model: time complexity and message complexity. In this paper we develop an efficient communication scheme to reduce both the communication time and the message complexity in the star network model under the half-duplex and full-duplex communication capability. The complexity measures of our scheme are compared against known bounds to verify the efficiency of the suggested scheme.
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