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Power and Signal-to-Noise Ratio Optimization in Mesh-Based Hybrid Optical Network-on-Chip using Semiconductor Optical Amplifiers

机译:使用半导体光放大器的基于网格的混合光网络芯片的功率和信噪比优化

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摘要

To address the performance bottleneck in metal-based interconnects, hybrid optical network-on-chip (HONoC) has emerged as a new alternative. However, as the size of the HONoC grows, insertion loss and crosstalk noise increase, leading to excessive laser source output power and performance degradation. Therefore, we propose a low-power scalable HONoC architecture by incorporating semiconductor optical amplifiers (SOAs). An SOA placement algorithm is developed considering insertion loss and crosstalk noise. Furthermore, we establish a worst-case crosstalk noise model of SOA-enabled HONoC and induce optimized SOA gains with respect to power consumption and performance, respectively. Extensive simulations for worst-case signal-to-noise ratio (SNR) and power consumption are conducted under various traffic patterns and different network sizes. Simulation results show that the proposed SOA-enabled HONoC architecture and the associated algorithm help sustain the performance as network size increases without additional laser source power.
机译:为了解决金属基互连中的性能瓶颈,混合光学网络(Honoc)已成为新的替代方案。然而,随着HONOC的尺寸增长,插入损耗和串扰噪声增加,导致激光源输出功率过高和性能下降。因此,我们通过结合半导体光放大器(SOA)提出低功率可伸缩的HONOC架构。考虑插入损耗和串扰噪声,开发了SOA放置算法。此外,我们建立了一种能够的SOA的Honoc的最坏情况串扰噪声模型,并分别诱导优化的SOA获得功耗和性能。用于最坏情况信噪比(SNR)和功耗的广泛模拟在各种交通模式和不同的网络尺寸下进行。仿真结果表明,所提出的SOA的Honoc架构和相关算法有助于维持性能,因为网络尺寸增加而无需额外的激光源功率。

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