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Exploiting space diversity and Dynamic Voltage Frequency Scaling in multiplane Network-on-Chips

机译:在多平面芯片网络中利用空间多样性和动态电压频率缩放

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Network-on-Chips (NoCs) have been proposed as a scalable solution to interconnect multiple components on a silicon chip. In this paper, we approach NoCs power optimization through Dynamic Voltage and Frequency Scaling (DVFS) under the hypothesis that two NoC planes are available, each with a different voltage supply and clock frequency. We show the high potential benefit of applying DVFS independently in each plane. We propose three strategies that allocate the traffic in the two planes to minimize power consumption. We evaluate them through a comparison with an ideal traffic allocation policy based on a linear programming technique. We show that load balancing in the two planes is not always the best policy. Indeed, in an unbalanced traffic scenario, concentrating the high-load flows in one plane and the remaining low-load flows in the other plane, is more power efficient.
机译:已经提出了片上网络(NoC)作为可扩展的解决方案,以互连硅芯片上的多个组件。在本文中,我们基于两个可用的NoC平面,每个平面具有不同的电源电压和时钟频率的假设,通过动态电压和频率缩放(DVFS)来实现NoC功率优化。我们展示了在每个平面上独立应用DVFS的巨大潜在利益。我们提出了三种在两个平面上分配流量以最小化功耗的策略。我们通过与基于线性规划技术的理想交通分配策略进行比较来评估它们。我们表明,在两个平面中进行负载平衡并不总是最好的策略。实际上,在交通不平衡的情况下,将高负载流集中在一个平面中,而将其余的低负载流集中在另一平面中,则可以提高电源效率。

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