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Power-and Thermal-aware Mapping for 3D Network-on-chip

机译:3D片上网络的功耗和热感知映射

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In this study, we present a 3D Network-on-Chip (NoC) comprehensive simulation framework which is integrated with 3D Nirgam, HotSpot and Orion. Based on this framework, a power- and thermal-aware mapping approach for 3D NoC is proposed. The proposed approach uses genetic algorithm to map IP cores onto 3D NoC architecture with the goal of minimizing the power consumption and temperature deviation. Various multimedia benchmark applications are evaluated to confirm the efficiency of the proposed approach. The power consumption in power-aware mapping is saved 27.07% on average compared to random mapping. The temperature deviation between nodes is reduced by 34.56% on average with our approach compared to random mapping while a little influence is caused on performance.
机译:在这项研究中,我们提出了一个3D片上网络(NoC)综合仿真框架,该框架与3D Nirgam,HotSpot和Orion集成在一起。基于此框架,提出了一种用于3D NoC的功率感知和热感知映射方法。所提出的方法使用遗传算法将IP内核映射到3D NoC架构上,以最小化功耗和温度偏差。对各种多媒体基准测试应用程序进行了评估,以确认所提出方法的效率。与随机映射相比,功耗感知映射的功耗平均节省了27.07%。与随机映射相比,使用我们的方法,节点之间的温度偏差平均减少了34.56%,而对性能的影响却很小。

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