| 摘要: |
| 基于松散耦合的多处理机系统(DMS)的发展，要求有相应的并行软件工具的支持，而在目前的大多并行软件系统中，用户必须显式给出顺序执行程序的划分方法以及在DMS中不同处理器上的分配算法．针对这一问题，本文首先介绍了一种基于知识的数据自动分布模型(KBDM)，以期对程序的划分和分布问题提供自动的支持，然后讨论了KBDM设计的主要思想，并给出该模型主要部件的详细描述。 |
| 关键词: 并行性，数据分布，基于知识的程序重构，模式匹配． |
| DOI： |
| 分类号: |
| 基金项目:本研究得到国家自然科学基金的支持. |
|
| KNOWLEDGE—BASED DATA AUTOMATIC DISTRIBUTION MODEL |
|
Yang Li,Ge Jianxin,He Zhijun
|
| Abstract: |
| The development of distributed—memory muItiprocessing system(DMS)needs the support of the corresponding parallelization software tool．In current paralleliza-tion systems，the user must explicitly specify how the data domain of the sequential program is to be partitioned and mapped to the processors of DMS．In this paper，the authors present a knowledge based data automatic distribution model(KBDM)that provides au-tomatic support for this task，and then discuss the principal ideas underlying their model，the major components of KBDM and the main features of the distribution strategy employed． |
| Key words: Parallelization,data distribution,knowledge—based program reconstruction,pattern matching． |
