Joint Optimization of Sizing and Layout for AMS Designs: Challenges and Opportunities

A. Budak, Keren Zhu, Hao Chen, Souradip Poddar, Linran Zhao, Yaoyao Jia, D. Pan
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引用次数: 3

Abstract

Recent advances in analog device sizing algorithms show promising results on the automatic schematic design. However, the majority of the sizing algorithms are based on schematic-level simulations and layout-agnostic. The physical layout implementation brings extra parasitics to the analog circuits, leading to discrepancies between schematic and post-layout performance. This performance gap raises questions about the effectiveness of automatic analog device sizing tools. Prior work has leveraged procedural layout generation to account for layout-induced parasitics in the sizing process. However, the need for layout templates makes such methodology limited in application. In this paper, we propose to bridge automatic analog sizing with post-layout performance using state-of-the-art optimization-based analog layout generators. A quantitative study is conducted to measure the impact of layout awareness in state-of-the-art device sizing algorithms. Furthermore, we present our perspectives on the future directions in layout-aware analog circuit schematic design.
AMS设计中尺寸与布局的联合优化:挑战与机遇
模拟器件尺寸算法的最新进展在原理图自动设计方面显示出良好的效果。然而,大多数大小算法是基于原理级模拟和布局无关的。物理布局的实现给模拟电路带来了额外的寄生,导致原理图和布局后的性能存在差异。这种性能差距提出了关于自动模拟器件尺寸工具有效性的问题。先前的工作利用程序性布局生成来解释尺寸过程中布局诱导的寄生现象。然而,对布局模板的需求使得这种方法在应用中受到限制。在本文中,我们建议使用基于最先进优化的模拟布局生成器来连接自动模拟尺寸与布局后性能。定量研究进行了衡量布局意识的影响,最先进的设备尺寸算法。此外,我们还提出了对布图感知模拟电路原理图设计的未来方向的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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