A parallelizing translator for object-oriented large-grain data flow model

Xiao Nong, Shouren Hu, Hongkui Gao
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Abstract

The paper introduces object-oriented large-grain data flow model and a parallelizing translator for the model. We design an efficient program partitioning algorithm based on objects for distributed system. Program restructuring according to the parallel model is automatically implemented by the translator.
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面向对象大粒度数据流模型的并行翻译
本文介绍了面向对象的大粒度数据流模型和该模型的并行翻译器。针对分布式系统,设计了一种高效的基于对象的程序划分算法。根据并行模型对程序进行重构,由译者自动实现。
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