论文标题

使用Artemis求解器在微电子电路中的传输线表征

Characterization of Transmission Lines in Microelectronics Circuits using the ARTEMIS Solver

论文作者

Sawant, Saurabh S., Yao, Zhi, Jambunathan, Revathi, Nonaka, Andy

论文摘要

电磁波相互作用与微电子设备的建模和表征是一种广泛使用的电子工业实践。但是,随着这些设备越来越多地使用较大的几何特征将其微型化,计算工具必须利用Many-Core/GPU架构有效地解决感兴趣的长度和时间范围。这一直是我们开源求解器Artemis(自适应网状精炼时间域电动动力学求解器)的焦点,该求解器是基于现代GPU的超级计算体系结构的表演,同时可以与其他物理耦合相提并论。这项工作证明了使用已建立的技术来表征传输线的网络参数。对工作流进行了严格的验证和验证,然后申请在专为光子检测器应用的CMOS芯片上分析传输线。在最先进的GPU资源上为数百万个时间步执行了模拟,以解决Gigahertz频率的纳米级功能。网络参数用于获得相位延迟和特征阻抗,这些阻抗是香料模型的输入。该代码被证明可以显示出理想的弱缩放效率,最高为1024 GPU和2048 GPU的效率为84%,这强调了将来对较大,更复杂电路设备的网络分析的使用。

Modeling and characterization of electromagnetic wave interactions with microelectronic devices to derive network parameters has been a widely used practice in the electronic industry. However, as these devices become increasingly miniaturized with finer-scale geometric features, computational tools must make use of manycore/GPU architectures to efficiently resolve length and time scales of interest. This has been the focus of our open-source solver, ARTEMIS (Adaptive mesh Refinement Time-domain ElectrodynaMIcs Solver), which is performant on modern GPU-based supercomputing architectures while being amenable to additional physics coupling. This work demonstrates its use for characterizing network parameters of transmission lines using established techniques. A rigorous verification and validation of the workflow is carried out, followed by its application for analyzing a transmission line on a CMOS chip designed for a photon-detector application. Simulations are performed for millions of timesteps on state-of-the-art GPU resources to resolve nanoscale features at gigahertz frequencies. The network parameters are used to obtain phase delay and characteristic impedance that serve as inputs to SPICE models. The code is demonstrated to exhibit ideal weak scaling efficiency up to 1024 GPUs and 84% efficiency for 2048 GPUs, which underscores its use for network analysis of larger, more complex circuit devices in the future

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