VSAGE: An End-to-End Automated VCO-Based ΔΣ ADC Generator

This article presents VSAGE, an agile end-to-end automated voltage-controlled oscillator (VCO)-based <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula> analog-to-digital converter (ADC) generator. It exploits time-domain architectures and design mindset, so that the design flow is highly oriented around digital standard cells in contrast to the transistor-level-focused approach in conventional analog design. Through this, it speeds up and simplifies both the synthesis phase and layout phase. Combined with an efficient knowledge-machine learning (ML)-guided synthesis flow, it can translate input specifications to a full system layout with reliable performance within minutes. This work also features a compact oscillator and system modeling method that facilitates light-resource accurate computation and network training. The generator is verified with 12 design cases in 65-nm and 28-nm processes, proving its capability of generating competitive design with good process portability.

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Publication Details

Journal
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Published
2024-12-04
DOI
https://doi.org/10.1109/tvlsi.2024.3507567
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
0.00

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article

VSAGE: An End-to-End Automated VCO-Based ΔΣ ADC Generator

Shaolan Li, Tzu-Han Wang, Tian Xie, Kezhi Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Analog and Mixed-Signal Circuit Design
article

VSAGE: An End-to-End Automated VCO-Based ΔΣ ADC Generator

Shaolan Li, Tzu-Han Wang, Tian Xie, Kezhi Li
article en

Abstract

This article presents VSAGE, an agile end-to-end automated voltage-controlled oscillator (VCO)-based <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula> analog-to-digital converter (ADC) generator. It exploits time-domain architectures and design mindset, so that the design flow is highly oriented around digital standard cells in contrast to the transistor-level-focused approach in conventional analog design. Through this, it speeds up and simplifies both the synthesis phase and layout phase. Combined with an efficient knowledge-machine learning (ML)-guided synthesis flow, it can translate input specifications to a full system layout with reliable performance within minutes. This work also features a compact oscillator and system modeling method that facilitates light-resource accurate computation and network training. The generator is verified with 12 design cases in 65-nm and 28-nm processes, proving its capability of generating competitive design with good process portability.

IEEE Transactions on Very Large Scale Integration (VLSI) SystemsVol. 33(1)
Georgia Institute of Technology (US)
National Science Foundation
Openalex Percentile: Top 79%
Analog and Mixed-Signal Circuit Design
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