SerOpt: Transistor Sizing Algorithm and Optimization Utility for Minimizing Soft Error Rate

Yehuda Kra, Yoav Weitzman, Adam Teman

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

1 Scopus citations

Abstract

This paper presents a transistor sizing algorithm and utility for soft-error (SER) protection circuits. The algorithm applies a gradient-descent convergence scheme for rapidly calculating an optimized sizing configuration per specific protection circuit instance. The utility efficiently interacts with commercial SPICE circuit-level tools for highest accuracy. The analysis and optimization flow is distributed over parallel compute resources to provide a scalable and feasible solution for large designs. The solution is demonstrated on two configurations of the Muller C-element circuit, a widely used component for SER protection across designs. By sizing the test circuits with the proposed utility, a SER protection improvement of as much as two orders-of-magnitude is achieved over a baseline design within minutes of compute runtime.

Original languageEnglish
Title of host publicationDCIS 2022 - Proceedings of the 37th Conference on Design of Circuits and Integrated Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665459501
DOIs
StatePublished - 2022
Event37th Conference on Design of Circuits and Integrated Systems, DCIS 2022 - Pamplona, Spain
Duration: 16 Nov 202218 Nov 2022

Publication series

NameDCIS 2022 - Proceedings of the 37th Conference on Design of Circuits and Integrated Systems

Conference

Conference37th Conference on Design of Circuits and Integrated Systems, DCIS 2022
Country/TerritorySpain
CityPamplona
Period16/11/2218/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

ACKNOWLEDGMENTS This work was partially supported by the Israel Innovation Authority (IIA) under the Kamin program and by the Israel Science Foundation (ISF) grant number 996/18. The authors would like to thank Matan Ben-Moshe for his work on this project.

FundersFunder number
IIA
Israel Innovation Authority
Israel Science Foundation996/18

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