Industry Paper: Surrogate Models for Testing Analog Designs under Limited Budget – a Bandgap Case Study

Roderick Bloem, Lazaro Alberto Larrauri Borroto, Roland Lengfeldner, Cristinel Mateis, Dejan Ničković, Björn Ziegler

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

Abstract

Testing analog integrated circuit (IC) designs is notoriously hard. Simulating tens of milliseconds from an accurate transistor level model of a complex analog design can take up to two weeks of computation. Therefore, the number of tests that can be executed during the late development stage of an analog IC can be very limited. We leverage the recent advancements in machine learning (ML) and propose two techniques, artificial neural networks (ANN) and Gaussian processes, to learn a surrogate model from an existing test suite. We then explore the surrogate model with Bayesian optimization to guide the generation of additional tests. We use an industrial bandgap case study to evaluate the two approaches and demonstrate the virtue of Bayesian optimization in efficiently generating complementary tests with constrained effort.
Original languageEnglish
Title of host publicationProceedings - 2022 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2022
PublisherInstitute of Electrical and Electronics Engineers
Pages21-24
Number of pages4
ISBN (Electronic)978-1-6654-7294-4
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Hardware/Software Codesign and System Synthesis: CODES+ISSS 2022 - Shanghai, China
Duration: 7 Oct 202214 Oct 2022

Publication series

NameProceedings - 2022 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2022

Conference

Conference2022 International Conference on Hardware/Software Codesign and System Synthesis
Abbreviated titleCODES+ISSS 2022
Country/TerritoryChina
CityShanghai
Period7/10/2214/10/22

Keywords

  • analog design
  • machine learning
  • surrogate model
  • testing

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'Industry Paper: Surrogate Models for Testing Analog Designs under Limited Budget – a Bandgap Case Study'. Together they form a unique fingerprint.

Cite this