Automated Analog Mixed Signal IP Generatorfor CMOS Technologies

Abstract

Analog mixed-signal (AMS) modules are typically custom-designed by experienced designers, despite significant effort over several decades devoted to automated synthesis tools. This custom-design process is expensive, has high time-to-market, and often leads to suboptimal design. As part of a DARPA-funded project, we are developing a new approach based on customization of known-good designs (KGDs) to optimally satisfy the designers intent for an AMS module, expressed in terms of specifications and criteria for optimization. This short paper summarizes some key aspects of the project which provides open-source tools capable of automating analog mixed-signal schematic generation for CMOS technologies

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Document Details

Document Type
Technical Report
Publication Date
Mar 25, 2019
Accession Number
AD1075702

Entities

People

  • Anthony Levi
  • Fangzhou Wang
  • Jae-Won Nam
  • Jagannathan Sathyamoorthy
  • Mike Chen
  • Mohsen Hassanpourghadi
  • Praveen Sharma
  • Qiaochu Zhang
  • Sandeep K. Gupta
  • Shiyu Su
  • Subhajit Chowdhury
  • Walter Unglaub
  • Wes Hansford
  • William Taylor

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Algorithms
  • Amplifiers
  • Circuits
  • Computational Complexity
  • Data Sets
  • Databases
  • Demographic Cohorts
  • Electrical Engineering
  • Filters
  • Information Science
  • Low Noise Amplifiers
  • Machine Learning
  • Multiobjective Optimization
  • Neural Networks
  • Simulations

Fields of Study

  • Engineering

Readers

  • Integrated Circuit Design and Technology.
  • Software Engineering.