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The research and implementation of The Critical Path on a Processor (CPOP) Algorithm based on Pi calculus

机译:基于PI微积分的处理器(CPOP)算法的临界路径的研究与实现

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Task scheduling algorithms in heterogeneous computing environment often provide limited performance owing to their low efficiency. This paper models and implements the first two phases of the Critical Path (CP) on a Processor Algorithm with the functional programming paradigm. Firstly, an overall research is conducted on the CPOP algorithms, then the logical relationship of the first two phrases of the algorithm is modeled based on Pi calculus theories, and finally the algorithm is implemented by nPict programming language. The experimental results demonstrate that the implementation efficiency of the new programming algorithm is higher than that of the traditional C++ language. Therefore, Pi calculus can be applied to the three phases of the CPOP algorithm to improve the task scheduling efficiency. This paper aims to prove that the CPOP algorithm can be more efficient than ever by using Pi calculus, through modeling and comparing the topological structures of the different types of task scheduling models.
机译:异构计算环境中的任务调度算法通常提供有限的性能,效率低。本文在具有功能规划范例的处理器算法上实现了临界路径(CP)的前两个阶段。首先,在CPOP算法上进行整体研究,然后基于PI微积分理论建模算法的前两个短语的逻辑关系,最后通过NPICT编程语言实现算法。实验结果表明,新的编程算法的实现效率高于传统C ++语言的实施效率。因此,PI微积分可以应用于CPOP算法的三个阶段,以提高任务调度效率。本文旨在通过建模和比较不同类型的任务调度模型的拓扑结构,证明CPOP算法可以比以往更有效。

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