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A high-speed design methodology for inductive coupling links in 3D-ICs

机译:3D-ICS的电感耦合链路高速设计方法

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Inductive coupling links (ICLs) are gaining traction as an alternative to through silicon vias (TSVs) for 3D integration, promising high-bandwidth connectivity without the inflated fabrication costs associated with TSV-enabled processes. For power-efficient ICL design, optimisation of the utilised physical inductor geometries is essential, however typically necessitates the use of finite element analysis (FEA) in addition to manual parameter fitting, a process that can take several hours even for a single geometry. As a result, the generation of optimised inductor designs poses a significant challenge. In this paper, we address this challenge, presenting a CAD-tool for Optimisation of Inductive coupling Links for 3D-ICs (COIL-3D1). COIL-3D uses a rapid solver based upon semi-empirical expressions to quickly and accurately characterise a given link, in conjunction with a high-speed refined optimisation flow to find optimal inductor geometries for use in ICL-based 3D-ICs. The proposed solver achieves an average accuracy within 9.1% of commercial FEA software tools, and the proposed optimisation flow reduces the search time by 26 orders of magnitude. This work unlocks new potential for power-efficient 3D integration using inductive coupling links.
机译:电感耦合链路(ICL)正在获得牵引作为通过用于3D集成的硅通孔(TSV)的替代方案,这是具有与支持TSV的过程相关联的膨胀制造成本的高带宽连接。对于高功率的ICL设计,利用物理电感器几何形状的优化是必不可少的,但通常需要使用有限元分析(FEA)除手动参数拟合外,即使对于单个几何形状也可能需要几个小时的过程。结果,优化电感设计的产生构成了重大挑战。在本文中,我们解决了这一挑战,提出了一种CAD工具,用于优化3D-ICS的电感耦合链路(线圈-3D 1 )。线圈3D基于半经验表达式使用快速求解器,以快速准确地表征给定的链路,结合高速精制优化流程,以找到用于基于ICL的3D-IC的最佳电感器几何。所提出的求解器在9.1 %的商业FEA软件工具内实现了平均精度,并且所提出的优化流程将搜索时间减少26个级别。使用电感耦合链路,这项工作解除了高效3D集成的新电位。

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