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RRD
Measures of Successfor NanoManufacturing of Future ICs
Measures of Successfor NanoManufacturing of Future ICs
1st International Symposium on NanoManufacturing
Cambridge, Massachusetts
April 25, 2003
Robert Doering
Texas Instruments, Inc.
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IC Metrics that Should Guide Researchon NanoManufacturing of Electronics
IC Metrics that Should Guide Researchon NanoManufacturing of Electronics• Cost/Integ.-Function (e.g., $/gate or $/bit integrated into system)
• Operations/Second (computation speed, e.g. MIPS)
• Power Dissipation (both operating and standby power)
• Integration Density (e.g., integrated functions/cm2 or /cm3)
• Integration Diversity (SOC functions - e.g., analog, RF, e-RAM)
• Capital Cost/Capacity (e.g., capital investment $/chips/month)
• Mfg. Cycle Time (impacts time-to-market and ASIC delivery)
• R&D Cost (e.g., cost per new product or tech node)
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First-Order IC Figures-of-MeritFirst-Order IC Figures-of-MeritP = Performance) = Operations/Second (e.g., gate switches/s)
$ = Cost (to mfg. the IC)
D = Dissipation/Power Consumption
• FOM1 = P/$ = “Bang per Buck” (performance/cost)
• FOM2 = P/D = Efficiency (operations/energy) {“P -> 0 limit” is also important!}
• Sufficiently large improvements in FOM1 and/or FOM2 result in revolutionary new end equipment markets for ICs (PCs, Cell Phones, etc.).
“eqi-FOM cone” (approximate)CPU
Digital-Baseband Chip
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DAB Digital Radio
Digital Still Camera
IP Phone
Pro-Audio
Digital MotorControl
Digital Hearing
Video Server
Internet Audio
Digital SpeakersVOPGateway
2G Cellular Phones 3G Cellular
Phones
Bluetooth-Enabled
Products
3G Base-Stations
Cable Modem
PDAs
DSLModem
HomeNetworking
CentralOffice
NanoMfg. Must Enable Many More !NanoMfg. Must Enable Many More !
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A Historical View of theIC Mfg. Cost/Function Challenge
A Historical View of theIC Mfg. Cost/Function Challenge
Feature Size
~12-14%
~12-14%~4%
Wafer Size ~2%< 2%
Yield Improvement ~7-10% < 1%
Other Productivity -- Equipment, etc.
> 9-15%
Log
($/F
unct
ion)
Time 1995
25-30%/YrImprovement
Historical Trend Equipment Productivity
Source: SEMATECH, circa 1995
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500
350
250
180
130100
70
50
35
25
95 97 99 01 04 07 10 13 16500
350
250
180
130
90
65
45
32
22
95 97 99 01 04 07 10 13 16
Feature-Scaling: the Traditional Enabler*Feature-Scaling: the Traditional Enabler*Fe
atur
e Si
ze [n
m]
Year of Production
Lithography Half-Pitch(ITRS 2002)
Gate Length(ITRS 2002)
9
15
return to0.7x/3-yr
13
Source: 2000-2002 ITRS
* Of Speed, Low-Cost,Low-Power, etc.
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Approximate Dependence of Mfg. Coston Chip Size and Functional ComplexityApproximate Dependence of Mfg. Cost
on Chip Size and Functional Complexity
0
10
20
30
40
50
60
70
Rela
tive
Mfg
. Cos
t
0 5 10 15 20 25 30 35 40 45 500.0
0.51.0
1.52.0
Masks
Area [cm2]
60-7050-6040-5030-4020-3010-200-10
0.5
1.0
1.5
2.0
Can NanoMfg. reduce the “yield non-linearities” ?
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Historically, IC Mfg. Cost-Effectivenessat Low-Volume Has Been Poor
Historically, IC Mfg. Cost-Effectivenessat Low-Volume Has Been Poor
4
5
6
7
8
2 4 6 8 10 12 14 16 18 20
K-Wafers / Month
Cos
t / c
m2
2 4 6M-cm2 / Month
Can NanoMfg. “Flatten” the Economy-of-Scale Curve ?
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0
1
10
100
1,000
10,000
100,000
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
2015
2020
2025
Area
Dem
and
per Y
ear (
Mill
ions
in2 )
100%
33%
10%
Pilot
75 mm+
100 mm
125 mm+
150 mm
200 mm
300 mm450 mm
Total Wafer Area Trend1976-2025: 10% CAGR
Of Course, High-Volume ProductionWill Be a Requirement for NanoMfg. !Of Course, High-Volume ProductionWill Be a Requirement for NanoMfg. !
Source: VLSI Research and International SEMATECH
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0.01
0.1
1
10
100
1970 1980 1990 2000 2010 2020
Waf
er-F
ab C
apita
l Cos
t [$B
]
What Cost for “Mass-NanoMfg.” Fabs?What Cost for “Mass-NanoMfg.” Fabs?
Risk Limited ?
Extrapolationof Prior History
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Capital Productivity [wafers/month/$B]
0
2
4
6
8
10
0 2 4 6 8
Equipment Capital [$B/25K waf/mo]
Unit
Cost
kilodollars/waferdollars/chip (@1-cm2)microcents/transistor
12.5 6.25 3.134.17
What Capital Productivity for NanoMfg. ?What Capital Productivity for NanoMfg. ?
“Best Case”10-Year
ProjectionsBased on ITRS
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0
5
10
15
20
25
0 6 12 18 24
Hot-Lot Size [wafers]
Cycl
e-Ti
me
[day
s]
Can NanoManufacturing Provide Breakthroughs in Cycle-Time ?
Can NanoManufacturing Provide Breakthroughs in Cycle-Time ?
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Analysis of a 1993 Demoof 71.4-Hour Single-Wafer Cycle-Time
Analysis of a 1993 Demoof 71.4-Hour Single-Wafer Cycle-Time
OVERHEAD12.6 hr
TRANSFER10.5 hr
QUEUE30.8 hr
THEORETICAL17.5 hr
Can NanoMfg. be more efficient ?
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17.5-Hour Theoretical Cycle-Time Components
17.5-Hour Theoretical Cycle-Time Components
0
2
4
6
8
10
Pump/Vent WaferMove
Metrology Auxiliary Process
Hour
s
Can NanoMfg. approach pure “process time” ?
At even better than “thin-film process” rates ?
(Load Lock)
Can NanoMfg. Enhance the Affordability of IC Technology R&D ?
Can NanoMfg. Enhance the Affordability of IC Technology R&D ?
0100200300400500600700800900
1000
-3 -2 -1 0 1 2
Technology Lead (Years)
Tech
nolo
gy In
vest
men
t (M
$)
19931995199719992001
Source: Yoshio Nishi and Bob HelmsRRD
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Suggested Targets to Guide Research on: NanoManufacturing of ICs in 10-20 Years
Suggested Targets to Guide Research on: NanoManufacturing of ICs in 10-20 Years
• < 0.5 µ¢/gate for high-performance logic• > 4x108 gates/cm2 for the above logic (or “equivalent 3D”)• > 5 THz of intrinsic switching speed for the above logic• < 6 µW/MOP/sec• > 1010 “minimum-size” switches/cm2 (e.g., SRAM transistors)• < 50 n¢/bit of memory (of at least “DRAM performance”) • > 30 Gbits/cm2 of the above memory• > 105 hours (~ 10 years) of operating lifetime• < 103 FITs/Mbit of SER in a terrestrial environment• > 2x1014 logic gates/day of “mass production” capacity (in ~106-107 ICs)• < $1B of capital cost for the above capacity• < 1.5 days of theoretical cycle time for a “pure logic process”• Ability to integrate logic, analog, RF, multiple memory types
(e.g., high-speed, nonvolatile), optics, sensors, “bio stuff,”...
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NanoMfg. Should Initially Support Integration of New IC Technologies with CMOS
NanoMfg. Should Initially Support Integration of New IC Technologies with CMOS
Source: 2001 ITRS