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Modeling and Tools for Power Supply Variations Analysis in Networks-on-Chip

机译:片上网络中电源变化分析的建模和工具

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Power supply integrity has become a critical concern with the rapid shrinking feature size and the ever increasing power consumption in nanometre scale integration. In particular, on-chip communication in platforms such as networks-on-chip (NoC) dictates the power dissipation and overall system performance in multicore systems and embedded computing architectures. These architectures require a dedicated tool for analyzing the power supply noise which must embed distinctive communication characteristics and spatial parameters. In this paper, we present a tool dedicated to determining the on-chip $(V_{DD})$ drops due to communication workload in NoCs. This tool integrates a fast power grid model, an NoC simulator, an on-chip link model, and a microarchitectural power model for router. The model has been rigorously verified using SPICE simulations. The proposed model and tools are further exemplified through analyzing the impact of power supply noise for NoC links. Statistical timing analysis of NoC links in the presence of power supply noise was performed to evaluate the bit error rates (BERs). This work would enable better understanding of the tradeoffs existing in the design of NoCs, and the induced power supply noise due to on-chip communication. This understanding is crucial for the analysis of the quality of service (QoS) of communication fabrics in NoCs at the early design stages.
机译:随着尺寸的迅速缩小以及纳米级集成中功耗的不断增加,电源完整性已经成为至关重要的问题。特别是,诸如片上网络(NoC)之类的平台中的片上通信决定了多核系统和嵌入式计算体系结构中的功耗和整体系统性能。这些架构需要专用的工具来分析电源噪声,该工具必须嵌入独特的通信特性和空间参数。在本文中,我们提出了一种工具,用于确定由于NoC中的通信工作量而导致的片上$(V_ {DD})$下降。该工具集成了快速电网模型,NoC仿真器,片上链路模型和路由器的微体系结构功率模型。该模型已使用SPICE仿真进行了严格验证。通过分析电源噪声对NoC链路的影响,进一步举例说明了所提出的模型和工具。对存在电源噪声的NoC链路进行了统计时序分析,以评估误码率(BER)。这项工作将使人们更好地理解NoC设计中存在的折衷,以及由于片上通信而引起的电源噪声。这种理解对于在早期设计阶段分析NoC中通信结构的服务质量(QoS)至关重要。

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