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A high performance, low complexity algorithm for compile-time job scheduling in homogeneous computing environments

机译:一种高性能,低复杂度的算法,用于同类计算环境中的编译时作业调度

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Efficient job scheduling is one of the most important and difficult issues in homogeneous computing environments. List-scheduling is generally accepted as an attractive static approach, since it pairs low complexity with good results. This paper presents a static list-scheduling algorithm with a limited number of processors. The algorithm is called critical nodes parent trees (CNPT). The aim of the algorithm is to give results comparable to or better than the current algorithms, and to achieve very low complexity. The experimental work has shown that the suggested algorithm gave comparable results in a low complexity.
机译:高效的作业调度是同类计算环境中最重要,最困难的问题之一。列表调度通常被认为是一种有吸引力的静态方法,因为它将低复杂度与良好的结果结合在一起。本文提出了一种有限数量的处理器的静态列表调度算法。该算法称为关键节点父树(CNPT)。该算法的目的是提供与当前算法相当或更好的结果,并实现非常低的复杂度。实验工作表明,所提出的算法以较低的复杂度给出了可比的结果。

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