Layout automation for analog and mixed-signal circuits using digital place-and-route tools
Abstract/Contents
- Abstract
- Today's analog and mixed-signal (AMS) layout flow requires long manual iterations and does not leverage computing resources for data-driven optimization. This issue is further compounded by the explosion of design rules and layout-dependent effects. We present an AMS layout generation flow that leverages digital place-and-route tools, amortizes setup cost with reusable primitives, and prunes layout candidates using time-efficient layout quality surrogates. We also analyze layout-dependent effects and parasitics and investigate unique challenges and mitigation strategies associated with using digital place-and-route tools for AMS circuits. These insights are validated with a generated 4x time-interleaved successive approximation analog-to-digital converter, a StrongARM comparator, and a voltage-controlled oscillator (VCO) in 16 nm FinFET CMOS. Silicon measurement results of the VCO closely track the simulation, showing only 6% in maximal oscillation frequency degradation from its manual counterpart, verifying the methodology from netlist to silicon.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2021; ©2021 |
Publication date | 2021; 2021 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Wei, Po-Hsuan |
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Degree supervisor | Murmann, Boris |
Thesis advisor | Murmann, Boris |
Thesis advisor | Horowitz, Mark (Mark Alan) |
Thesis advisor | Lee, Thomas H, 1959- |
Degree committee member | Horowitz, Mark (Mark Alan) |
Degree committee member | Lee, Thomas H, 1959- |
Associated with | Stanford University, Department of Electrical Engineering |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Po-Hsuan Wei. |
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Note | Submitted to the Department of Electrical Engineering. |
Thesis | Thesis Ph.D. Stanford University 2021. |
Location | https://purl.stanford.edu/mv779vk8233 |
Access conditions
- Copyright
- © 2021 by Po-Hsuan Wei
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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