Statistical characterization of radiation-induced pulse waveforms and flip-flop soft errors in 14nm tri-gate CMOS using a back-sampling chain (BSC) technique

Saurabh Kumar, Minki Cho, Luke Eversen, Hoonki Kim, Qianying Tang, Paul Mazanec, Pascal Meinerzhagen, Andres Malavasi, Dan Lake, Carlos Tokunaga, Heather Quinn, Muhammad Khellah, James Tschanz, Shekhar Borkar, Vivek De, Chris H. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel BSC circuit with tunable current starved buffers demonstrates higher sensitivity, scalability & accurate statistical characterization of radiation-induced SET pulse waveforms & flip-flop SER in 14nm tri-gate CMOS, thus enabling improved SER estimation & analysis for a range of supply voltages including NTV.

Original languageEnglish (US)
Title of host publication2017 Symposium on VLSI Circuits, VLSI Circuits 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesC114-C115
ISBN (Electronic)9784863486065
DOIs
StatePublished - Aug 10 2017
Event31st Symposium on VLSI Circuits, VLSI Circuits 2017 - Kyoto, Japan
Duration: Jun 5 2017Jun 8 2017

Publication series

NameIEEE Symposium on VLSI Circuits, Digest of Technical Papers

Other

Other31st Symposium on VLSI Circuits, VLSI Circuits 2017
Country/TerritoryJapan
CityKyoto
Period6/5/176/8/17

Bibliographical note

Publisher Copyright:
© 2017 JSAP.

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