Parallel programming with data driven model

V. Tran, L. Hluchý, Giang T. Nguyen
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引用次数: 8

Abstract

In this paper, bye present a new powerful method for parallel program representation called Data Driven Graph (DDG). DDG takes all advantages of classical Directed Acyclic graph (DAC) and adds much more. Simple definition, flexibility and ability to represent loops and dynamically created tasks. With DDG, scheduling becomes an efficient tool for increasing performance of parallel systems. DDG is not only a parallel program model, it also initiates a new parallel programming style, allows programmer to write a parallel program with minimal difficulty. We also present our parallel program development tool with support for DDG and scheduling.
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数据驱动模型并行编程
本文提出了一种新的强大的并行程序表示方法——数据驱动图(DDG)。DDG继承了经典有向无环图(DAC)的所有优点,并增加了更多。简单的定义,灵活性和表示循环和动态创建任务的能力。使用DDG,调度成为提高并行系统性能的有效工具。DDG不仅是一种并行程序模型,它还开创了一种新的并行编程风格,允许程序员以最小的难度编写并行程序。我们还介绍了支持DDG和调度的并行程序开发工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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