Performance benchmarks for Si, III-V, TFET, and carbon nanotube FET - Re-thinking the technology assessment methodology for complementary logic applications
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wei, Lan | - |
dc.contributor.author | Oh, Saeroonter | - |
dc.contributor.author | Wong, H.-S.Philip | - |
dc.date.accessioned | 2021-06-23T13:40:54Z | - |
dc.date.available | 2021-06-23T13:40:54Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2010-12 | - |
dc.identifier.issn | 0163-1918 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/40080 | - |
dc.description.abstract | Aspiring emerging device technologies (e.g. III-V, CNFET, TFET) are often targeted to outperform Si FETs at the same off-state current (Ioff) and supply voltage (Vdd). We present a new device technology assessment methodology based on energy-delay optimization which treats I off and Vdd as free variables, and bounded by constraints due to device variation and circuit noise margin. We show that for each emerging device (III-V, CNFET, TFET), there is a corresponding and different optimal set of Ioff and Vdd, and an optimal energy-delay. Today's best-available III-V and CNFET can outperform the best Si FET by 1.5-2x and 2-3.5x, respectively. Projected into the 10nm gate length regime, III-V-on-Insulator, CNFET, and TFET are 1.25x, 2-3x, and 5-10x (for FO1 delays of 0.3ns, 0.1ns, and 1ns respectively) better than the ITRS target at the same gate length. ©2010 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Performance benchmarks for Si, III-V, TFET, and carbon nanotube FET - Re-thinking the technology assessment methodology for complementary logic applications | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Oh, Saeroonter | - |
dc.identifier.doi | 10.1109/IEDM.2010.5703373 | - |
dc.identifier.scopusid | 2-s2.0-79951843158 | - |
dc.identifier.wosid | 000287997300097 | - |
dc.identifier.bibliographicCitation | Technical Digest - International Electron Devices Meeting, IEDM, pp.1 - 4 | - |
dc.relation.isPartOf | Technical Digest - International Electron Devices Meeting, IEDM | - |
dc.citation.title | Technical Digest - International Electron Devices Meeting, IEDM | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 4 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | Carbon nanotube FET | - |
dc.subject.keywordPlus | Circuit noise | - |
dc.subject.keywordPlus | Complementary logic | - |
dc.subject.keywordPlus | Device technologies | - |
dc.subject.keywordPlus | Device variations | - |
dc.subject.keywordPlus | Energy-delay optimization | - |
dc.subject.keywordPlus | Free variable | - |
dc.subject.keywordPlus | Gate length | - |
dc.subject.keywordPlus | New devices | - |
dc.subject.keywordPlus | Off-state current | - |
dc.subject.keywordPlus | Optimal energy | - |
dc.subject.keywordPlus | Optimal sets | - |
dc.subject.keywordPlus | Supply voltages | - |
dc.subject.keywordPlus | Technology assessments | - |
dc.subject.keywordPlus | Benchmarking | - |
dc.subject.keywordPlus | Carbon nanotubes | - |
dc.subject.keywordPlus | Electron devices | - |
dc.subject.keywordPlus | MESFET devices | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordPlus | Silicon | - |
dc.subject.keywordPlus | Equipment | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/5703373/ | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.