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计算机工程 ›› 2006, Vol. 32 ›› Issue (11): 114-115,132.

• 软件技术与数据库 • 上一篇    下一篇

分布式系统中数据分解的研究

沈亚楠,姚 远,张 平,赵荣彩,罗向阳   

  1. 信息工程大学信息工程学院,郑州 450002
  • 出版日期:2006-06-05 发布日期:2006-06-05

Study of Data Decomposition in Distributed Shared Memory System

SHEN Yanan,YAO Yuan,ZHANG Ping,ZHAO Rongcai,LUO Xiangyang   

  1. Institute of Information Engineering, University of Information Engineering, Zhengzhou 450002
  • Online:2006-06-05 Published:2006-06-05

摘要: 数据分解对消息传递并行机下的并行编译器取得高性能至关重要。根据编译器自动得出的数据分解(映射数据到处理机)信息,C语言版本的发送/接收消息循环嵌套可产生出来,从而在处理机之间实现分布数据。不仅一个已被证明且功能强大的数学模型用于产生数据分解代码,而且一个形式化的算法及其实现也已给出。初步实验结果显示该算法能显著提高性能。

关键词: 并行编译器;消息传递;线性不等式;数据分解

Abstract: Data decomposing is crucial for parallelizing compilers for message-passing parallel machines to achieve high performance. The datadecomposition (mapping data onto processors) analysis is automatically from compiler, loop nests in C for arrays that needed to be distributed tosend and receive messages between processors are generated. Not only a proven and powerful mathematical model is put into the use of generatingcode of data decomposition, but also a formal specification of the algorithm as well as its implementation is given. Preliminary experimental resultsindicate that the algorithm significantly improves the performance.

Key words: Parallelizing compilers; Message-passing; Linear inequalities; Data decomposition