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A new heuristic for minimizing schedule length in heterogeneous computing systems

机译:一种用于最小化异构计算系统中的调度长度的新启发式方法

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Heterogeneous environments includes resources with diverse capabilities necessitates efficient task-to-processor assignment for accomplishing high performance. In the proposed work a new heuristic approach for scheduling the tasks independent of their levels in the precedence constrained task graph is detailed. Schedules with shorter span are achieved by reducing the start time of the independent tasks. The proposed algorithm is compared with the available literature and an improvement in the schedule length is obtained.
机译:异构环境包括具有多种功能的资源,因此需要高效的任务到处理器分配才能实现高性能。在提出的工作中,详细介绍了一种新的启发式方法,用于在优先约束的任务图中独立于任务的级别安排任务。通过减少独立任务的开始时间,可以实现跨度较短的计划。将所提出的算法与现有文献进行比较,并改进了调度长度。

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