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Nanometer Device Scaling in Subthreshold Circuits

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An Investigation of Subthreshold Scaling. Device Scaling Model. Device Characteristics ... Only used during optimization. Affects SCE (and consequently halo implant) ... – PowerPoint PPT presentation

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Title: Nanometer Device Scaling in Subthreshold Circuits


1
Nanometer Device Scaling in Subthreshold Circuits
  • Scott Hanson, Mingoo Seok,
  • Dennis Sylvester, David Blaauw
  • University of Michigan, Ann Arbor

2
Exploring the Application Space
Reduce Vdd
Subthreshold Circuits
3
Subthreshold Basics
Drain Current in an NFET Device
  • VddltVth
  • Reduced Ion/Ioff
  • Exponential with
  • Vdd
  • Vth
  • SS
  • Key challenges
  • Modest performance
  • Variability
  • Robust memory design

4
Motivating Device Optimization
  • Exponentially sensitive to device characteristics
  • Subthreshold designers must be acutely aware of
    device characteristics
  • Previous work
  • Channel doping engineering (Paul, 2005)
  • Drain/source underlap (Paul, 2006)
  • Multi-gate devices (Kim, 2004) (Hanson, 2006)
  • Use of RSCE (Kim, 2006) (Hanson, 2007)
  • What will happen as device dimensions scale?
  • Will conventional scaling be useful?
  • Can scaling be re-optimized for subthreshold?

5
An Investigation of Subthreshold Scaling
SNM
Delay
Energy
  • Two key deliverables
  • Implications of current scaling trends
    onsubthreshold circuits
  • Understanding of device optimization opportunities

6
Basic Device Modeling
  • MEDICI model with four parameters Lpoly, Tox,
    Nsub, Nhalo
  • All other dimensions proportional to Lpoly
  • Halo/retrograde region modeled as Gaussian
    distribution

7
A Super-Vth Scaling Framework
  • Goals
  • Create 90nm 32nm baseline device models
  • Closely mirror scaling of low standbypower
    device
  • 30 reduction in Lpoly each generation
  • 10 reduction in Tox each generation
  • 100mV reduction in Vdd each generation
  • Only used during optimization
  • Affects SCE (and consequently halo implant)
  • Nsub, Np,halo tuned to optimize delay subject to
    leakage constraint

8
Scaled Device Characteristics
G
G
S
D
S
D
9
Scaled Device Characteristics
Ss and Ion/Ioff at Vdd250mV
  • SS increases by 10mV/dec
  • Ion/Ioff reduces by 60
  • Problematic for SRAM
  • Leads to 10 reduction in SNM

10
Delay in Scaled Circuits
CMOS Inverter Delay
  • Delay dominated by Vth, not Lpoly
  • Sub-Vth design requires tight Vth control

11
Energy in Scaled Circuits
Energy for a Chain of 30 Inverters
  • Energy improves with scaling
  • Ss plays a prominent role in energy, delay

12
Opportunities for Improvement
Ss for a 45nm Device
  • Key lessons
  • SS is critical
  • Lpoly scaling is not important
  • Slow Tox scaling is important
  • Opportunities
  • Use increased Lpoly
  • Use reduced doping
  • Lets re-optimize our device

13
Optimization for Subthreshold
Scaling Factors in a 45nm Device
A Comparison of Optimized and Unoptimized Devices
  • 20-25 reduction in Lpoly per generation
  • Optimized device has nearly constant SS80mV/dec
  • 19 improvement in SNM at 32nm

14
Revisiting Delay
CMOS Inverter Delay at Vdd250mV
  • Comparison not strictly fair
  • Re-optimization yields more gracefuldelay scaling

15
Revisiting Energy
Energy for a Chain of 30 Inverters
  • Vmin nearly constant for optimized device
  • Energy improves by 23 at 32nm

16
SNM in Scaled Subthreshold SRAM
60
17
Variability in Subthreshold SRAM
  • Skew cell to a corner
  • Failure at read SNM of 6 of Vdd
  • Confidence at failure normalized to s

1 generation improvement
18
Read Current in Subthreshold SRAM
19
Future Device Optimizations
FIELDAY Simulations of 3 Devices
  • New devices may offer some help
  • High-? gate dielectrics
  • Superior Ss
  • Multi-gate devices
  • Superior Ss
  • Better SCE
  • Light body doping

Courtesy of X. Wang, A. Bryant, IBM Originally
appeared in S. Hanson, et al., ISLPED 06
20
Some Final Thoughts
  • Poor SS scaling (caused by slow Tox scaling)
    leads to problems
  • Device scaling must be closely followed by
    subthreshold designers
  • Vdd selection
  • Delay optimization
  • Memory design
  • Simple modifications to doping and gate length
    may offer help
  • Noise immunity
  • Performance
  • Energy consumption
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