A Parasitic Resistance Extraction Tool Leveraged by Image Processing

Diogo Dias, Joao Goes, Tiago Costa

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Most academic and commercial tri-dimensional (3D) parasitic resistance extraction EDA/CAD tools rely on finite element methods (FEM) and are mainly suited to digital circuitry. In analog and mixed-signal (AMS) circuits, such as power converters and radio-frequency analog front-ends, the layout structures used for the metal interconnections become much more diversified and complex. This paper proposes an EDA/CAD tool, based on an innovative methodology for 3D parasitic resistance extraction, leveraged by image processing techniques and algorithms. Some practical examples are shown to demonstrate the attractiveness of the proposed tool. Moreover, since our tool efficiently works in the domains of 2D image processing, if an extensive database of layouts is provided and enough training is carried out, advanced deep-learning techniques can be straightforwardly employed, speeding up parasitic resistance extraction in highly complex AMS layouts.
Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Place of PublicationDanvers
PublisherIEEE
Pages1585-1589
Number of pages5
ISBN (Electronic)978-1-6654-8485-5
ISBN (Print)978-1-6654-8486-2
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Symposium on Circuits and Systems (ISCAS) - Austin, United States
Duration: 27 May 20221 Jun 2022

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2022-May
ISSN (Print)0271-4310

Conference

Conference2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Country/TerritoryUnited States
CityAustin
Period27/05/221/06/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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