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Transcript of Introduction Mohammad Sharifkhani. The IC Growth CycleDensityPerformance Switching energy Cost per...
Introduction
Mohammad Sharifkhani
The IC Growth Cycle
Density Density
PerformancePerformance
Switching energySwitching energy
Cost per functionCost per function
Applications Applications
DevicesDevices
UsersUsers
RevenueRevenue
TechnologyTechnologyadvancesadvances
ConsumptionConsumptiongrowsgrows
Money!
Chen, ISSCC’07
Market share
Logic is there all the time
““Reduced cost is one of the big Reduced cost is one of the big attractions of integrated attractions of integrated electronics, and the cost electronics, and the cost advantage continues to increase advantage continues to increase as the technology evolves as the technology evolves toward the production of larger toward the production of larger and larger circuit functions on a and larger circuit functions on a single semiconductor substrate.”single semiconductor substrate.”Electronics, Volume 38, Electronics, Volume 38, Number 8, April 19, 1965Number 8, April 19, 1965
19601960 19651965 19701970 19751975 19801980 19851985 19901990 19951995 20002000 20052005 20102010
TransistorsTransistorsPer DiePer Die
101088
101077
101066
101055
101044
101033
101022
101011
101000
101099
10101010
Source: IntelSource: Intel
Moore’s Law - 1965
1965 Data (Moore)1965 Data (Moore)
Moore’s Law - 2005
40044004
80808080 808680868028680286
386™ Processor386™ Processor486™ Processor486™ Processor
PentiumPentium® ® ProcessorProcessorPentiumPentium® ® II ProcessorII Processor
PentiumPentium®® III Processor III ProcessorPentiumPentium®® 4 Processor 4 Processor
ItaniumItanium™ ™ ProcessorProcessor
TransistorsTransistorsPer DiePer Die
101088
101077
101066
101055
101044
101033
101022
101011
101000
101099
10101010
80088008
ItaniumItanium™ ™ 22 ProcessorProcessor
1K1K4K4K
64K64K256K256K
1M1M
16M16M4M4M
64M64M
256M256M512M512M
1G1G 2G2G
128M128M
16K16K
1965 Data (Moore)1965 Data (Moore)
MicroprocessorMicroprocessor
MemoryMemory
19601960 19651965 19701970 19751975 19801980 19851985 19901990 19951995 20002000 20052005 20102010
Source: IntelSource: Intel
Silicon Scaling Still ImprovesDensity, Performance, Power, Cost
130 nm 90 nm130 nm 90 nm MadisonMadison MontecitoMontecitoCores/ThreadsCores/Threads 1/11/1 2/4 2/4TransistorsTransistors 0.410.41 1.721.72 BillionBillionL3 CacheL3 Cache 66 2424 MByteMByteFrequencyFrequency 1.51.5 >1.7>1.7 GHzGHzRelative PerformanceRelative Performance 11 >1.5x>1.5xThermal Design Power Thermal Design Power 130130 ~100~100 WattWatt
Source: IntelSource: Intel
Gate Count
Design Cost
New tech. node model
R&D Cost
Facilities development cost
Revenues
Revenue
Key Points
• Moore’s Law thriving after 40 years
• Convergence drives IC industry growth
• Integrated platforms optimize user experience
• Multi-core parallelism going mainstream
Convergence Drives Growth
ConvergenceConvergence
1010
00
5050
100100
20032003
6565
90909696
20042004 20052005 20062006
% of Notebooks % of Notebooks that have Wireless that have Wireless
ConvergenceWireless Mobile PC
Source: IDCSource: IDC
Source: Goldman Sachs and Co., McKinsey & Company; Dec. 2002
Bits
of T
raffi
cB
its o
f Tra
ffic
ConvergenceData Phones and Traffic
2004: Data Phones 2004: Data Phones Cross-over VoiceCross-over Voice
Source: WebFeet Research
New Cell Phone Sales by Feature SetNew Cell Phone Sales by Feature Set
00
100100
200200
300300
400400
500500
600600
700700
800800
Mill
ion
units
Mill
ion
units
2009200920022002 20032003 20042004 20052005 20062006 20072007 20082008
DataDataVoiceVoice
Data Traffic: 56% Annual Data Traffic: 56% Annual Growth thru 2006Growth thru 2006
DataData
VoiceVoice
20012001 20062006
Sources: Consumer Electronics Association, Photo Marketing Association International, Photofinishing News, SBCA/Sky Trends
’’9595 ’96’96 ’97’97 ’98’98 ’99’99 ’00’00 ’01’01 ’02’02 ’03’03 ’04’04 ’05’05 ’06’06 ’07’07 ’08’08
The Great CrossoverThe Great CrossoverDigital Technologies Surpass AnalogDigital Technologies Surpass Analog
Crossover YearCrossover Year
ConvergenceDigital Consumer Electronics
Camera SalesCamera SalesMillionsMillions
‘‘9595 ‘‘9696 ‘‘9898‘‘9797 ‘‘9999 ‘‘0000 ‘‘0101 ‘‘0202 ‘‘0303 ‘‘0404 ‘‘0505Portable CD PlayersPortable CD Players
DIGITAL
ANALOG
SatellitesSatellites
Cell PhonesCell Phones
DVD PlayersDVD PlayersCamcordersCamcorders
CamerasCamerasTVsTVs
Key Points
• Moore’s Law thriving after 40 years
• Convergence drives IC industry growth
• Integrated platforms optimize user experience
• Multi-core parallelism going mainstream
Demand Growth Driven by Better User Experiences
MemoryMemoryComputingComputing
GraphicsGraphicsNetworkingNetworking
WirelessWirelessMultimediaMultimedia
MobilityMobilityCompactnessCompactness
Battery LifeBattery Life
VirtualizationVirtualizationSecuritySecurity
MultitaskingMultitasking
Ease of UseEase of UseManageabilityManageability
UserUser ExperienceExperience
Platforms Optimize User Experience
Innovate and IntegrateInnovate and Integrate
MathMathCoprocessorCoprocessor SSE2SSE2
ItaniumItaniumArchitectureArchitecture
Low Low powerpower
Multi CoreMulti CoreHyper-Hyper-
ThreadingThreading
ProcessorProcessorCapabilitiesCapabilities
IntegratedIntegratedCacheCache PCIPCI
AGP 2XAGP 2X
USBUSB
AGP 4XAGP 4XIAPCIAPC
USB 2.0USB 2.0AGP 8XAGP 8X
Serial ATASerial ATA HD AudioHD AudioInfinibandInfiniband
PCI-EPCI-EGraphicsGraphics
Low PowerLow PowerChipsetChipsetCapabilitiesCapabilities
UserUser ExperienceExperience
MultipleMultipleExecution UnitsExecution Units
MMXMMXSSESSE
QuickstartQuickstart
SpeedstepSpeedstep
BaseBasePerformancePerformance
VirtualizationVirtualization
ProSetProSet
WiFiWiFi Comms andComms andSoftwareSoftwareCapabilitiesCapabilities
386386processorprocessor
Pentium® Pentium® processorprocessor
Pentium®II Pentium®II processorprocessor
Pentium®III Pentium®III processorprocessor
Pentium®IIIPentium®IIIXeon™ Xeon™
processorprocessor
Itanium™ Itanium™ processorprocessor
Pentium®III Pentium®III mobilemobile
processorprocessorPentium®4 Pentium®4 processorprocessor
Pentium®4 Pentium®4 Processor Processor
with HTwith HT
Pentium®4 Pentium®4 mobilemobile
processorprocessor
Xeon™Xeon™processorprocessor
ItaniumItanium™™2 2 processorprocessor
Example: Intel platformsExample: Intel platforms
RMS Applications Growing
Emerging workloads increase need forEmerging workloads increase need forhigh performance parallel processinghigh performance parallel processing
Performance and Power Efficiency
Increase with Parallel ArchitectureRelative Relative
processor processor performance*performance*(constant power (constant power
envelopeenvelope))
Source: IntelSource: Intel
*Average of SPECInt2000 and SPECFP2000 rates for Intel desktop processors *Average of SPECInt2000 and SPECFP2000 rates for Intel desktop processors vs initial Intelvs initial Intel®® Pentium Pentium®® 4 Processor 4 Processor
FORECASTFORECAST
1
10
100
20002000
Single-CoreSingle-Core
2008+2008+20042004
10X10X
Dual / Multi-CoreDual / Multi-Core
3X3X
Multi-Core Parallelism Going Mainstream
Dual-Core Processor Plans (Intel)Dual-Core Processor Plans (Intel)ServersServers DesktopDesktop MobileMobile
90nm90nm MontecitoMontecito
(2005)(2005)
65nm 65nm Desktop ProcessorDesktop Processor
(2006)(2006)
65nm 65nm YonahYonah(2005)(2005)
90nm 90nm Server ProcessorServer Processor
(2006)(2006)
90nm 90nm SmithfieldSmithfield
(2005)(2005)
Note: Die images not to scale and may not depict actual productNote: Die images not to scale and may not depict actual product
Source: IntelSource: Intel
Key Points
• Moore’s Law thriving after 40 years
• Convergence drives IC industry growth
• Integrated platforms optimize user experience
• Multi-core parallelism going mainstream
• Holistic solutions deliver power efficiency
Silicon Technology Changes to Increase Power Efficiency
• 1960’s: Bipolar
• 1970’s: PMOS, NMOS
• 1980’s: CMOS
• 1990’s: Voltage scaling (P = CV2f)
• 2000’s: Power efficient scaling/design
High High Stress Stress
FilmFilm
NMOSNMOS
SiGeSiGe SiGeSiGe
PMOSPMOS
Compressive channel strain Tensile channel strainCompressive channel strain Tensile channel strain30% drive current increase 10% drive current increase30% drive current increase 10% drive current increase
Power Efficient 90nm Transistors with Strained Silicon
Innovate and integrateInnovate and integratefor cost effective production for cost effective production
Source: Intel
does not raise transistor leakage
11
1010
100100
10001000
0.20.2 0.40.4 0.60.6 0.80.8 1.01.0 1.21.2 1.41.4 1.61.6Transistor Drive Current (mA/um) Transistor Drive Current (mA/um)
StdStd StdStdStrainStrain StrainStrain
+25% I+25% I ONON +10% I+10% I ONON
0.04x I0.04x I OFFOFF
0.20x I0.20x I OFFOFF
PMOSPMOS NMOSNMOS
Strained Silicon Improves Transistor Performance and/or
Reduces Leakage
TransistorTransistorLeakageLeakageCurrentCurrent(nA/um)(nA/um)
Source: Intel
Using Using priorprior
designdesigntechniquestechniques
With new With new powerpower
reductionreductiontechniquestechniques
ISSCC 2005 P10.1ISSCC 2005 P10.1““The Implementation of The Implementation of a 2-core Multi-Threadeda 2-core Multi-Threaded
ItaniumItaniumTMTM Family Family Processor”Processor”
Power Power (W)(W)
Advances in Power Efficient Design
Circuit Techniques Reduce Source Drain Leakage
Body BiasBody Bias
+ Ve+ Ve
VddVdd VbpVbp
VbnVbn
- Ve- Ve
2 - 10X2 - 10X
Sleep TransistorSleep Transistor
2 - 1000X2 - 1000X
Stack EffectStack Effect
2 - 10X2 - 10X
Logic Logic BlockBlock
Equal LoadingEqual Loading
Leakage Leakage ReductionReduction
Sleep Transistor Reduces SRAM Leakage Power
VVSSSS
VVDDDD
NMOS NMOS Sleep Sleep
TransistorTransistor
SRAM SRAM Cache Cache BlockBlock
70 Mbit SRAM leakage current map70 Mbit SRAM leakage current map
Without sleep transistorWithout sleep transistor With sleep transistorWith sleep transistor
Accessed blockAccessed block
>3x SRAM leakage reduction on inactive blocks>3x SRAM leakage reduction on inactive blocks
Source: Intel
Sleep Transistors Reduce ALU Leakage
Scan Scan FIFOFIFO
Scan Scan outout
Sleep Sleep ALUALU
Body biasBody bias
ControlControl
37X leakage reduction 37X leakage reduction demonstrated on test chipdemonstrated on test chip
Scan Scan
PMOS underdrive VPMOS underdrive Vcccc
PMOS overdrive VPMOS overdrive Vssss
Virtual VVirtual Vcccc
Virtual VVirtual Vssss
ScanScancapturecapturecontrolcontrol
DynamicDynamicALUALU 3232
NMOS overdrive VNMOS overdrive Vcccc
NMOS underdrive VNMOS underdrive Vssss
ALU coreALU core
3-bit A/D3-bit A/D
ALUALUBodyBodyBiasBias
PMOSPMOSSleepSleepBodyBodyBiasBias
VVssss externalexternal
VVcccc
externalexternal
Sleep transistorSleep transistorand body biasand body bias
controlcontrol
Sleep transistorsSleep transistors
Source: ISSCC 2003, Paper 6.1
What happens to Analog guys?
In the nanoelectronics era CMOS performance will exceed that of the SiGe HBT
Holistic Approach to System Power Projected Change in Peak Power Consumption Projected Change in Peak Power Consumption
of High-End Desktop Computersof High-End Desktop Computers
00
0.50.5
11
1.51.5
22
2.52.5
33
20022002 20042004 2005 (est.)2005 (est.)
Po
wer
Co
nsu
mp
tio
n R
elat
ive
to a
200
2 P
C
Po
wer
Co
nsu
mp
tio
n R
elat
ive
to a
200
2 P
C
Power SupplyPower Supply
OtherOther
VRMsVRMs
Graphics CardGraphics Card
ProcessorProcessor
Projected power supply efficiencyProjected power supply efficiency
20%20%
30%30%
43%43%
10%10%
23%23%
41%41%
57%57% 70%70% 80%80%
Source: Intel
Key Points
• Moore’s Law thriving after 40 years
• Convergence drives IC industry growth
• Integrated platforms optimize user experience
• Multi-core parallelism going mainstream
• Holistic solutions deliver power efficiency
• Nanotechnology will extend IC advances
• Lithography innovations remain vital
Silicon Technology Reaches Nanoscale
MicronMicron
1000010000
10001000
100100
1010
1010
11
0.10.1
0.010.01
Nano-Nano-metermeter
NanotechnologyNanotechnology(< 100nm)(< 100nm)
130nm130nm
90nm90nm
70nm70nm 50nm50nm
Gate LengthGate Length 65nm65nm
35nm35nm
19701970 19801980 19901990 20002000 20102010 20202020
45nm45nm32nm32nm
22nm22nm
25nm25nm 18nm18nm
12nm12nm
0.7X every 2 years
Nominal feature sizeNominal feature size
Source: Intel
• Structures measured in nanometers– Less than 0.1-micron (100nm)
• New processes, materials, device structures– Incrementally changing silicon technology base
• Materials manipulated on atomic scale– In one or more dimensions
• Increasing use of self-assembly– Using chemical properties to form structures
Nanotechnology innovations will extendNanotechnology innovations will extendsilicon technology and Moore’s Lawsilicon technology and Moore’s Law
Nanotechnology Hallmarks(For Nanoelectronics)
Step 3Step 3
Step 4Step 4 Step 2Step 2
AA
Step 1Step 1
AAAA
BB
AABB
Design Your Own Film withAtomic Layer Deposition (ALD)
Atomic level manipulation + Self-assemblyAtomic level manipulation + Self-assembly
ALD Enables High-k Dielectric to Reduce Gate Leakage
Silicon substrate
Gate
3.0nm High-k
Silicon substrate
1.2nm SiO2
Gate
High-k vs. SiO2 Benefit
Gate capacitance 60% greater Faster transistors
Gate dielectric leakage
> 100x reduction Lower power
Source: Intel
Process integration is the key challengeProcess integration is the key challenge
Nanostructures for the Next Decade
(Transistor Research at Intel)
Si DeviceSi DeviceMiniaturizationMiniaturization
Non-planarNon-planarTri-GateTri-GateArchitectureArchitecture
III-V DeviceIII-V DeviceResearchResearch
Carbon Carbon NanotubeNanotubeTransistorTransistor
Gate
Source
Sibody
(b)
Drain
Source
CNTSingle-wallD = 1.4 nm
Gate(Pt)
Drain(Pd)
Lg = 75 nm
(d)
Gate
DrainSource
Source
(c)
Multiepitaxiallayers
Gate
Source
Sibody
(b)
Drain
Gate
Source
Sibody
(b)
Drain
Source
CNTSingle-wallD = 1.4 nm
Gate(Pt)
Drain(Pd)
Lg = 75 nm
(d)
Source
CNTSingle-wallD = 1.4 nm
Gate(Pt)
Drain(Pd)
Lg = 75 nm
(d)
Gate
DrainSource
Source
MultiepitaxiallayersGate
DrainSource
Source
Multiepitaxiallayers
(c)
(a)
L = 10 nmg
GateGateSourceSource
DrainDrain
Source: Intel
0.1
1
10
100
1 10 100 1000 10000GATE LENGTH LG [nm]
GATE D
ELA
Y CV/I
[p
s]
Si MOSFETs
CNT FETs
III-V FETs
NMOS
Benchmarking Nanotransistor Progress
Source: Intel compilation of published dataSource: Intel compilation of published data
Lithography Must Break Throughto Shorter Wavelength (EUV* @ 13.5nm)
* Extreme Ultraviolet* Extreme Ultraviolet
Source: Intel
10001000
100100
1010’’8989 ’’9191 ’’9393 ’’9595 ’’9797 ’’9999 ’’0101 ’’0303 ’’0505 ’’0707 ’’0909 ’’1111
Feature sizeFeature size
EUVEUV
Lithography Lithography
WavelengthWavelength
193nm & extensions193nm & extensions248nm248nm
nmnm
GapGap
EUV Lithography inCommercial Development
EUV Micro exposure tool (MET)EUV Micro exposure tool (MET)EUV MET Image (8/04)EUV MET Image (8/04)
• Integrated development in progress
• Source power and lifetime
• Defect free mask fabrication and handling
• Optics lifetime
• Resist performance
Source: Intel
Key Points
• Moore’s Law thriving after 40 years• Convergence drives IC industry growth• Integrated platforms optimize user experience• Multi-core parallelism going mainstream• Holistic solutions deliver power efficiency• Nanotechnology will extend IC advances• Lithography innovations remain vital• Moore’s Law will outlive CMOS• Future rides on innovation and integration
BipolarBipolar
Moore’s Law Will Outlive CMOS
1960 1970 1980 1990 2000 2010 2020 2030
CMOSCMOS
1µm 100nm 10nm10µm
PMOSPMOS
101088
101077
101066
101055
101044
101033
101022
101011
101000
101099
10101010 1965 Data (Moore)1965 Data (Moore)
MicroprocessorMicroprocessorMemoryMemory
10101111
10101212
10101313 VoltageVoltageScalingScaling
Pwr EffPwr EffScalingScaling
New Nano-New Nano-structuresstructures
NMOSNMOS
KiloXtor
MegaXtor
GigaXtor
TeraXtor
Tra
nsi
sto
rs/D
ieT
ran
sist
ors
/Die
Beyond CMOS?Beyond CMOS?Spin based?Spin based?Molecular?Molecular?Other?Other?
Innovation and IntegrationWill Sustain Moore’s Law
Identify needs andIdentify needs andcreate capabilities create capabilities that drive growththat drive growth
Deliver platforms Deliver platforms to optimize user to optimize user experienceexperience
Anticipate barriers Anticipate barriers and seek timely and seek timely breakthroughsbreakthroughs
Make strategic Make strategic technology technology transitionstransitions
Integrate new Integrate new materials, devices, materials, devices, processesprocesses
Coordinate Coordinate strategic shifts strategic shifts across industryacross industry
InnovationInnovation IntegrationIntegration