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Energy and performance-aware application mapping for inhomogeneous 3D networks-on-chip

机译:能量和性能感知应用程序映射用于不均匀3D网络的芯片

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Three dimensional Networks-on-Chip (3D NoCs) have evolved as an ideal solution to the communication demands and complexity of future high density many core architectures. However, the design practicality of 3D NoCs faces several challenges such as thermal issues, high power consumption and area overhead of 3D routers as well as high complexity and cost of vertical link implementation. To mitigate the performance and manufacturing cost of 3D NoCs, inhomogeneous architectures have emerged to combine 2D and 3D routers in 3D NoCs producing lower area and energy consumption while maintaining the performance of homogeneous 3D NoCs. Due to the limited number of vertical links, application mapping on inhomogeneous 3D NoCs can be complex. However, application mapping has a great impact on the performance and energy consumption of NoCs. This paper presents an energy and performance aware application mapping algorithm for inhomogeneous 3D NoCs. The algorithm has been evaluated with various realistic traffic patterns and compared with existing mapping algorithms. Experimental results show NoCs mapped with the proposed algorithm have lower energy consumption and significant reduction in packet delays compared to the existing algorithms and comparable average packet latency with Branch-and-Bound.
机译:三维网络上网(3D NOCS)已经发展成为通信需求和未来高密度的复杂性的理想解决方案许多核心架构。然而,3D NOC的设计实用性面临着多种挑战,例如3D路由器的热问题,高功耗和面积开销,以及垂直链接实现的高复杂性和成本。为了减轻3D NOC的性能和制造成本,出现了非均匀架构,在3D NOC中结合了2D和3D路由器,产生了较低的区域和能量消耗,同时保持均匀的3D NOC的性能。由于垂直链路数量有限,在不均匀的3D NOC上的应用映射可以复杂。然而,应用映射对NOCS的性能和能耗产生了很大影响。本文提出了一种能量和性能感知应用映射映射算法,用于非均匀3D NOC。该算法已被各种现实流量模式进行评估,并与现有的映射算法进行比较。实验结果表明,与所提出的算法映射的NOCS,与现有算法和分支和绑定的可比平均数据包延迟相比,与所提出的算法映射的能量消耗和分组延迟显着降低。

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