基于微环谐振器(MRR)的二值决策图(BDD)电路的能量效率

O. Yakar, Yuqi Nie, K. Wada, Anuradha Agarwal, İlke Ercan
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引用次数: 5

摘要

晶体管技术飞速发展的饱和已经把我们带到了计算系统面临基本物理限制的地步。新兴技术提出了各种替代方案,光子电路由于其高运行速度,节能无源元件,低串扰和适合并行计算而成为有希望的候选者之一。在这项工作中,我们设计了一个基于微环谐振器(MRR)的二进制决策图(BDD) NAND逻辑门,并研究了其与Wada等人[1]提出的基于MRR的BDD半加法器电路的特性。我们使用可逆和不可逆电路结构分析了BDD架构的能效限制。我们在这项工作中关注的电路是由基于硅核磁共振的开关节点组成的,其中耦合间隙和环尺寸对电路的性能起着关键作用。我们研究了电路的物理结构和信息处理的动力学,并计算了能量耗散的基本下界。我们还对Lumerical MODE模拟进行了广泛的分析,以优化基于各种因素的能量效率,包括波导特性,环半径和间隙大小。我们获得的结果使我们能够评估基于核磁共振的光子电路在计算中的物理性质所施加的限制,并将理论与模拟进行比较,从而为该技术作为未来计算机的一部分的战略发展做出重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Efficiency of Microring Resonator (MRR)-Based Binary Decision Diagram (BDD) Circuits
The saturation of rapid progress in transistor technology has brought us to a point where the computing systems face fundamental physical limitations. Emerging technologies propose various alternatives and photonic circuits are among promising candidates due to their high operation speed, energy efficient passive components, low crosstalk and appropriateness for parallel computation. In this work, we design a microring resonator (MRR) based Binary Decision Diagram (BDD) NAND logic gate and study its characteristics inline with a MRR-based BDD half adder circuit proposed by Wada et. al. [1]. We analyze energy efficiency limitations of BDD architectures using reversible and irreversible circuit structures. The circuits we focus on in this work are composed of silicon MRR-based switching nodes where the coupling gap and ring size play a key role in the performance of the circuits. We study the physical structure of the circuits as well as dynamics of the information processing, and calculate the fundamental lower bounds on the energy dissipation as a result of computation. We also perform extensive analyses on Lumerical MODE simulations to optimize the energy efficiency based on various factors including waveguide properties, ring radius and gap size. The results we obtain allow us to assess limitations imposed by the physical nature of MRR-based photonic circuits in computation, and compare theory against simulation and hence significantly contribute to the strategic development of this technology as a part of future computers.
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