Yu Cao - Predictive Technology Model for Robust Nanoelectronic Design

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1、IntegratedCircuitsandSystemsSeriesEditorAnanthaP.ChandrakasanMassachusettsInstituteofTechnologyCambridge,MassachusettsForfurthervolumes:http://www.springer.com/series/7236YuCaoPredictiveTechnologyModelforRobustNanoelectronicDesignForewordbyChenmingCalvinHuYuCaoSchoolof

2、ECEEArizonaStateUniversityTempe,AZ,USAycao@asu.eduISSN1558-9412ISBN978-1-4614-0444-6e-ISBN978-1-4614-0445-3DOI10.1007/978-1-4614-0445-3SpringerNewYorkDordrechtHeidelbergLondonLibraryofCongressControlNumber:2011931530#SpringerScience+BusinessMedia,LLC2011Allrightsreserv

3、ed.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewrittenpermissionofthepublisher(SpringerScience+BusinessMedia,LLC,233SpringStreet,NewYork,NY10013,USA),exceptforbriefexcerptsinconnectionwithreviewsorscholarlyanalysis.Useinconnectionwithanyformofinformation

4、storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynowknownorhereafterdevelopedisforbidden.Theuseinthispublicationoftradenames,trademarks,servicemarks,andsimilarterms,eveniftheyarenotidentifiedassuch,isnottobetakenasanexpressiono

5、fopinionastowhetherornottheyaresubjecttoproprietaryrights.Printedonacid-freepaperSpringerispartofSpringerScience+BusinessMedia(www.springer.com)ToXuejue,yourdanceofthewatersingsthepebblesofmylifeForewordTheminimumfeaturesizeofCMOStechnologywillapproach10nmin10years.Suc

6、haggressivescalingwillleadtowonderfulbenefitstoconsumers,businessesandtheglobalsociety.Unfortunately,itwillalsoleadtoincreasedpowerdissipa-tion,processvariationsanddevicedrift,posingtremendousnewchallengestodesigningrobustcircuits.Already,thedesigncomplexityandtimearein

7、creasingatacceleratingrates.Thelureofearlymarketentrypushesadvanceddesignresearchtobeginmuchearlierthanthecompletionofdevicetechnologydevelop-ment.Theneedisevenclearerwherenewdevices,e.g.FinFETandpost-silicondevicesareinvolved.Theconceptoftechnology/circuitco-developme

8、ntisnolongerjustagoodidea,itisanecessity.ThisnewparadigmrequirespredictiveSPICEtransistormodelsforfuturetechnologygen