Distributed on-chip regulation: Theoretical stability foundation, over-design reduction and performance optimization

Distributed on-chip regulation: Theoretical stability foundation, over-design reduction and performance optimization
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分布式片上调节:理论稳定性基础、减少过度设计和性能优化

DOI:
10.1145/2897937.2898008
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发表时间:
2016
期刊:
2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC)
影响因子:
--
通讯作者:
E. Sánchez
E. Sánchez
中科院分区:
--
文献类型:
--
作者:
Xin Zhan;Peng Li;E. Sánchez

文献摘要

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虽然分布式片上电压调节为电能输送提供了一个有吸引力的解决方案,但由于有源调节器和庞大的无源网络之间的复杂相互作用,设计具有保证稳定性的分布式片上电压调节器的功率传输网络(PDN)是一项具有挑战性的工作。最近发展起来的混合稳定性理论提供了一种有效的稳定性校核和设计方法,从而产生了非常理想的PDN的局部化设计。然而,混合稳定性准则固有的保守性可能会导致稳定性评估的悲观情绪,从而导致大量的过度设计。为了解决这一挑战,我们提出了一种基于频率的最优系统划分技术,以显著减少稳定性分析中的悲观情绪。在理论严谨的基础上,我们展示了如何通过在无源网络和电压调节器之间采用最优的依赖于频率的阻抗分裂来划分PDN系统,同时保持混合稳定性原理所基于的划分系统块的期望的理论性质。我们展示了一种新的确保稳定性的PDN设计方法,该方法使用自动优化流程减少过设计,显著提高了调节性能和功率效率。
While distributed on-chip voltage regulation offers an appealing solution to power delivery, designing power delivery networks (PDNs) with distributed on-chip voltage regulators with guaranteed stability is challenging because of the complex interactions between active regulators and the bulky passive network. The recently developed hybrid stability theory provides an efficient stability checking and design approach, giving rise to highly desirable localized design of PDNs. However, the inherent conservativeness of the hybrid stability criteria can lead to pessimism in stability evaluation and hence large over-design. We address this challenge by proposing an optimal frequency-dependent system partitioning technique to significantly reduce the amount of pessimism in stability analysis. With theoretical rigor, we show how to partition a PDN system by employing optimal frequency-dependent impedance splitting between the passive network and voltage regulators while maintaining the desired theoretical properties of the partitioned system blocks upon which the hybrid stability principle is anchored. We demonstrate a new stability-ensuring PDN design approach with the proposed over-design reduction technique using an automated optimization flow which significantly boosts regulation performance and power efficiency.