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机构地区:[1]中国科学院地理科学与资源研究所
出 处:《计算机科学》2002年第3期96-98,共3页Computer Science
基 金:国家自然科学基金69896250;中科院"九五"基础性研究重大项目KJ951-B1-703
摘 要:1.引言目前,并行分布式系统的应用正在不断地发展和扩大.将现有的微机、工作站用高速网络连接起来,再配上并行分布式计算的软件环境,便能实现高速的并行计算….这将有利于普及并行计算.在所有类型的并行系统中,基于分布式存储的工作站集群(NOWs)由于具有很高的性价比,越来越受到高性能计算领域的重视[2~4].In this paper,we analyze data communication in parallel image processing system based on distributed and shared memory system in PC or workstation group. As our views,image processing should be classified as point,line and area processing and the amount of data communication should be classified as net and real communication- By analyzing the net and real amount of communication,we propose a strategy of data partition in these three kinds of image processing which are based on distributed and shared memory system of NOWs. In order to improve the efficiency of the system we also present an approach of balancing data communication in the whole computing process by adjusting the sequence of computing.
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