Ultra-fast variability-aware optimization of mixed-signal designs using bootstrapped kriging

Saraju P. Mohanty, Elias Kougianos, Venkata P. Yanambaka

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Analog/Mixed-Signal (AMS) circuits present significant challenges to designers with the increase of design complexity and aggressive technology scaling. Design optimization techniques that account for process variation while presenting an accurate and fast design flow which can perform design optimization in reasonable time are still lacking. As a trade-off of the accuracy and speed, this paper presents a process-variation aware design flow for ultra-fast variability-aware optimization of nano-CMOS based physical design of analog circuits. It combines Kriging bootstrapped Neural Network (KBNN) metamodels with a Particle Swarm Optimization (PSO) algorithm in the design optimization flow. The KBNN provides a trade-off between analog-quality accuracy and scalability and can be effectively used for large and complex AMS circuits while capturing correlations in process variations. The effectiveness of the design flow is demonstrated using a 180nm CMOS based PLL as a case study with 21 design parameters. The KBNN metamodel is 24× faster than NN metamodeling.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Quality Electronic Design, ISQED 2015
PublisherIEEE Computer Society
Pages239-242
Number of pages4
ISBN (Electronic)9781479975815
DOIs
StatePublished - Apr 13 2015
Event16th International Symposium on Quality Electronic Design, ISQED 2015 - Santa Clara, United States
Duration: Mar 2 2015Mar 4 2015

Publication series

NameProceedings - International Symposium on Quality Electronic Design, ISQED
Volume2015-April
ISSN (Print)1948-3287
ISSN (Electronic)1948-3295

Conference

Conference16th International Symposium on Quality Electronic Design, ISQED 2015
Country/TerritoryUnited States
CitySanta Clara
Period03/2/1503/4/15

Keywords

  • Geostatistics
  • Kriging
  • Mixed-Signal Circuit
  • Nano-CMOS
  • Particle swarm optimization
  • Process variation

Fingerprint

Dive into the research topics of 'Ultra-fast variability-aware optimization of mixed-signal designs using bootstrapped kriging'. Together they form a unique fingerprint.

Cite this