Frontiers of Quality Electronic Design (QED). AI, IoT and Hardware Security

690 Pages·2023·23.799 MB·English

by  Ali Iranmanesh

Ali Iranmanesh Editor
Frontiers of Quality
Electronic Design (QED)
AI, IoT and Hardware Security
Frontiers of Quality Electronic Design (QED)
Ali Iranmanesh
Editor
Frontiers of Quality
Electronic Design (QED)
AI, IoT and Hardware Security
Editor
AliIranmanesh
SiliconValleyPolytechnicInstitute
LosAltosHills,CA,USA
ISBN978-3-031-16343-2 ISBN978-3-031-16344-9 (eBook)
https://doi.org/10.1007/978-3-031-16344-9
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Preface
Thisbookintendstoexplorethelatesttrendsintopicsrelatedtoelectronicdesign,
with emphasis on hardware security and application of AI. It is formatted as a
collectionofarticles,intheformofchapters,eachwrittenbyoneorseveralauthors
withexpertiseintheirfield.
I was motivated to create this book through my close association with many
technicalconferences,especiallytheeventsorganizedbytheInternationalSociety
for Quality Electronic Design (ISQED), a non-profit international organization
devoted to innovation and advancement in electronic design, and engineering
education, which I founded 23 years ago. Since inception, the organization has
spanned over 30 events in various topics related to the field of electronic design,
covering topics such as IC design, IoT, Sensors, smart power grid, solar energy
technologies,andengineeringeducation.
Successfulimplementation ofthese events has resultedinawealthof technical
articles to the engineering community. Today, the majority of these articles are
availablethroughISQEDproceedingsandIEEEdigitallibrary,Xplore.
Last year, I approached several ISQED authors to see if there is any interest
to start a book series around the same topics, where authors can get around
conference’s page limitations and delve deeper into technical subjects, and so the
seedofthisbookwasplanted.
Initially, my goal was to cover the entire electronic design cycle, from design
concept to manufacturing, and application and, in the process, highlight use of
emergingfieldssuchasartificialintelligence(AI)andmachinelearning(ML)and
their application in the design process. This turned out to be a major undertaking,
andattheend,Ihadtobecontentwithasmallersetoftopics,whicharepresented
in this book. I hope I am able to continue the task and create follow-up books to
coverafewotherimportanttopics,whichwerenotcoveredinthepresentvolume.
v
vi Preface
I would like to thank all authors for contributing to this book. Biographies of
eachchapter’sauthorsareshownattheendofthechapter.Moreover,Iwouldlike
toacknowledgemanyothers,whohavevolunteeredtoreviewthemanuscripts,and
providevaluablefeedbacktoauthors.
LosAltosHills,CA,USA AliIranmanesh
July2022
Acknowledgements
Specialthankstofollowingchapterreviewers:
Prof.OmidKavehei,UniversityofSydney
Prof.AhmedullahAziz,UniversityofTennessee,Knoxville
Prof.SiddharthaNath,UniversityofCalifornia,SanDiego
Prof.MasoudZabihi,UniversityofMinnesota
Prof.XinfeiGuo,UniversityofMichigan
Prof.BasselSoudan,CollegeofComputingandInformatics
Prof.DivyaAkellaKamakshi,UniversityofVirginia
Prof.AlvaroCintasCanto,MarymountUniversity
Prof.BhasinShivam,NanyangTechnologicalUniversity
Prof.AminRezaei,CaliforniaStateUniversity,LongBeach
Prof.ChidhambaranathanR,UtahStateUniversity
Dr.DeepashreeSengupta,SynopsysInc.
vii
Contents
NANDFlashMemoryDevicesSecurityEnhancementBasedon
PhysicalUnclonableFunctions ................................................. 1
SiarheiS.ZalivakaandAlexanderA.Ivaniuk
ReRAM-BasedNeuromorphicComputing.................................... 43
FabihaNowshinandYangYi
Flash:A“Forgotten”TechnologyinVLSIDesign ........................... 67
SunilP.Khatri,SarmaVrudhula,MontherAbusultan,KunalBharathi,
Shao-WeiChu,Cheng-YenLee,KylerR.Scott,GianSingh,
andAnkitWagle
NonvolatileMemoryTechnologies:Characteristics,Deployment,
andResearchChallenges........................................................ 137
SadhanaRaiandBasavarajTalawar
DataAnalyticsandMachineLearningforCoverageClosure .............. 175
RavivGal,WesamIbraheem,ZivNevo,BilalSaleh,andAviZiv
Cell-AwareModelGenerationUsingMachineLearning.................... 227
Pierred’Hondt,AymenLadhar,PatrickGirard,andArnaudVirazel
Neuromorphic Computing: A Path to Artificial Intelligence
ThroughEmulatingHumanBrains............................................ 259
NoahZins,YanZhang,ChunxiuYu,andHongyuAn
AIforCybersecurityinDistributedAutomotiveIoTSystems.............. 297
VipinKumarKukkala,SooryaaVigneshThiruloga,andSudeepPasricha
Ultralow-Power Implementation of Neural Networks Using
Inverter-BasedMemristiveCrossbars......................................... 327
Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha,
andMassoudPedram
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x Contents
AI-BasedHardwareSecurityMethodsforInternet-of-Things
Applications....................................................................... 387
JayaDofeandWafiDanesh
Enabling Edge Computing Using Emerging Memory
Technologies:FromDevicetoArchitecture................................... 415
ArmanRoohi,ShaahinAngizi,andDeliangFan
IoTCommercialandIndustrialApplicationsandAI-PoweredIoT........ 465
KhaledAhmedNagaty
HardwareandSystemSecurity:AttacksandCountermeasures
AgainstHardwareTrojans...................................................... 501
KonstantinosLiakos,GeorgiosGeorgakilas,andFotisPlessas
FPGASecurity:SecurityThreatsfromUntrustedFPGACAD
Toolchain.......................................................................... 551
SandeepSunkavilli,ZhimingZhang,andQiaoyanYu
DoSAttackModelsandMitigationFrameworksforNoC-BasedSoCs.... 575
MitaliSinha,SidharthaSankarRout,andSujayDeb
DefenseagainstSecurityThreatswithRegardtoSoCLifeCycle.......... 611
UshaMehtaandJayeshPopat
DefectDiagnosisTechniquesforSiliconCustomerReturns ................ 641
PatrickGirard,AlbertoBosio,AymenLadhar,andArnaudVirazel
Index............................................................................... 677
About the Authors
Monther Abusultan received his B.Sc. degree with highest honors in CE with a
minor in EE (2008) and his M.S. degree (2010) from Montana State University,
Bozeman. He received his Ph.D. degree (2017) from Texas A&M University,
College Station. He joined the Advanced Design team at Intel Oregon in 2017
where he worked on the development of Intel’s future process technology nodes,
then joined Microsoft Silicon Engineering and Solutions in 2021 to work on the
development of Microsoft’s custom microprocessors. He has published in many
areas of VLSI including low power FPGA design, GPGPUs, flash-based digital
design,logicsynthesis,andoptimization.
Ali Afzali-Kusha received the B.Sc. degree from the Sharif University of Tech-
nology, Tehran, Iran, in 1988, the M.Sc. degree from the University of Pittsburgh,
Pittsburgh, PA, USA, in 1991, and the Ph.D. degree from the University of
Michigan, Ann Arbor, USA, in 1994, all in electrical engineering. Dr. Afzali-
Kusha has been with the University of Tehran since 1995, where he is currently
a professor in the School of Electrical and Computer Engineering. His current
researchinterestsincludelow-powerhigh-performancedesignmethodologiesfrom
thephysicaldesignleveltothesystemlevel,efficienthardwareimplementationof
neuralnetworks,in-memorycomputing.
Shaahin Angizi is currently an assistant professor in the Department of Elec-
trical and Computer Engineering, New Jersey Institute of Technology (NJIT),
Newark,NJ,USA,andthedirectoroftheAdvancedCircuit-to-ArchitectureDesign
Laboratory. He completed his doctoral studies in Electrical Engineering at the
School of Electrical, Computer and Energy Engineering, Arizona State University
(ASU),Tempe,AZin2021.Hisprimaryresearchinterestsincludeultra-low-power
in-memory computing based on volatile & non-volatile memories, in-sensor com-
putingforIoT,brain-inspired(neuromorphic)computing,andacceleratordesignfor
deepneuralnetworksandbioinformatics.
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