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A contention-aware heuristic scheduling algorithm for Fork-Join task graphs

机译:Fork-Join任务图的争用感知启发式调度算法

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Task scheduling is a challenging aspect of parallel programming. Aiming at the problem that most heuristics for this NP-hard problem always assume fully connected processors and concurrent inter-processor communication which are not met on real parallel systems, this paper proposes a communication contention-aware heuristic scheduling algorithm for Fork-Join task graphs, named CCAHS_FJ, which preserves the theoretical basis of task scheduling and improves the scheduling performance by serializing the edges to integrate the communication awareness into task scheduling. Experimental evaluation validates that the proposed algorithm produces superior results than other compared algorithms in terms of schedule length, number of used processors, speedup and efficiency.
机译:任务调度是并行编程的具有挑战性的方面。 旨在解决这个问题的大多数启发式问题的问题始终承担在真正并行系统上不满足的完全连接的处理器和并发间隔通信,本文提出了一种用于Fork-Join任务图的通信争用感知启发式调度算法 ,命名为CCAHS_FJ,它保留了任务调度的理论基础,并通过序列化边沿来提高调度性能,以将通信意识集成到任务调度中。 实验评估验证,所提出的算法在时间表长度,使用的处理器数量,加速和效率的数量方面产生优异的结果优于其他比较算法。

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