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Investigating the role of interconnect surface roughness towards the design of power-aware network on chip

机译:研究互连表面粗糙度对芯片上的功耗感知网络设计的作用

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High-speed metal interconnects play a significant role in the on-chip network system as the network performance largely depends on the behaviour of these interconnects. Variability in wire properties due to the surface roughness directly impacts the overall system performance. In this study, the authors evaluate the effects of interconnect surface roughness on deeply scaled on-chip interconnects (i.e. 22, 13, and 7 nm) in the context of the network on chip (NoC). The critical roughness parameters of interconnect in NoC are extracted by atomic force microscopy analysis of fabricated thin sheets of copper. Their analysis shows that in a 5 x 5 NoC with 25 cores on 2.5 mm x 2.5 mm die, rough interconnects can lead to a significant penalty on energy budget, bandwidth density, bit error rate, the figure of merit and total system throughput. Their analysis shows that this penalty is further increased by moving towards interconnection lines at advanced technology nodes. They simulate the bodytrack workload of PARSEC benchmark by using Tejas Simulator to show the penalty on latency and energy of the architecture due to the rough interconnects. Their study makes an attempt to qualitatively and quantitative highlight the impact of the interconnect surface roughness on the design of power-aware NoCs.
机译:高速金属互连在片上网络系统中起着重要作用,因为网络性能在很大程度上取决于这些互连的行为。由于表面粗糙度,导线性能的变化直接影响整个系统的性能。在这项研究中,作者评估了在芯片上网络(NoC)的情况下,互连表面粗糙度对深度扩展的芯片上互连(即22、13和7 nm)的影响。通过原子力显微镜分析制造的铜薄板,提取NoC中互连的关键粗糙度参数。他们的分析表明,在2.5 mm x 2.5 mm裸片上具有25个内核的5 x 5 NoC中,粗糙的互连会严重降低能量预算,带宽密度,误码率,品质因数和总系统吞吐量。他们的分析表明,通过采用先进技术节点上的互连线,这种损失还会进一步增加。他们使用Tejas Simulator来模拟PARSEC基准测试的跟踪工作负载,以显示由于粗糙的互连而对体系结构的延迟和能耗造成的损失。他们的研究试图定性和定量地突出互连表面粗糙度对可识别功率的NoC的影响。

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