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Arbitrated IP Core Based Dynamic Task Mapping Algorithm for Networks-on-Chip

机译:片上网络基于仲裁IP核的动态任务映射算法

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Mapping of the tasks onto the core is the main aim of the paper. So there is need to design such an algorithm that the tasks should not wait in the queue for long time. Our main focus is to design an algorithm that should concentrate on the load balancing, such that the problem of overheating of the cores is reduced. For this purpose different researchers have given different mapping algorithms. It would be the best solution if the designed algorithm could balance the load dynamically over the grid of cores. In this paper, we have mapped the tasks onto the cores such that performance of the network improves along with balanced load distribution. In experimental results, the proposed AICM approach is compared with sequential mapping considering 5X5 mesh topology.
机译:将任务映射到核心是本文的主要目的。因此,需要设计一种算法,使任务不应该在队列中等待很长时间。我们的主要重点是设计一种算法,该算法应专注于负载平衡,从而减少铁芯过热的问题。为此,不同的研究人员给出了不同的映射算法。如果设计的算法可以在内核网格上动态平衡负载,那将是最佳解决方案。在本文中,我们将任务映射到了内核上,从而提高了网络性能以及平衡的负载分配。在实验结果中,将提出的AICM方法与考虑5X5网格拓扑的顺序映射进行了比较。

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