Array-Based Architecture for FET-Based, Nanoscale Electronics André DeHon Presented By Mahmoud Ben Naser Move to Nanotechnology CMOS size limits  Cost of Fabrication $50,000,000 Source: Kahng/ITRS2001 $40,000,000 Exposure tool price  $30,000,000 $20,000,000 $10,000,000 $0Year.

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Transcript Array-Based Architecture for FET-Based, Nanoscale Electronics André DeHon Presented By Mahmoud Ben Naser Move to Nanotechnology CMOS size limits  Cost of Fabrication $50,000,000 Source: Kahng/ITRS2001 $40,000,000 Exposure tool price  $30,000,000 $20,000,000 $10,000,000 $0Year.

Array-Based Architecture
for FET-Based, Nanoscale
Electronics
André DeHon
2003
Presented By Mahmoud Ben Naser
Move to Nanotechnology
CMOS size limits

Cost of Fabrication
$50,000,000
Source: Kahng/ITRS2001
$40,000,000
Exposure tool price

$30,000,000
$20,000,000
$10,000,000
$0
1980
1985
1990
1995
Year
2000
2005
Differences with current technology
CMOS
 Top Down construction
 Precise placement of devices
Nanotechnology
 Bottom Up construction
 Stochastic assembly.
Building Blocks (Wires)
 Carbon
Nanotubes (CNTs or NT)
 Silicon NanoWires (SiNW or NW)
Carbon Nanotube
Built by “exploding” carbon or carbon
vapor.
 Can be conducting or semiconducting
 A few nm diameter
 Can’t selectively manufacture one type or
the other.

Silicon Nanowires
“Grown” by vapor
deposition
 Precise diameter control
of a few nm
 Microns long
 Selectively dope length to
control electrical
properties

Devices (Switches)
CNT Suspended Memories
 Molecular Switches
 SiNW FET

CNT switches

CNTs in parallel suspended above
perpendicular set of CNTs
SiNW
Core Shell NW
 Gated by NT or NW
Diode

FET
Architecture
Using building blocks and switches what can
we build?
 Crossbar Arrays
 Memory, PLA, or
Interconnect
 Collection of small
arrays to exploit
logical structure
and isolate faults
Electrical Operation
Diode Logic
 NW or NT crosspoint directly touching
 Wired-OR
 Programmable
Junction
 Problem:
Non-restring
Electrical Operation
FET Logic (PFET)
 Problems:



Generally Non-Programmable Logic
Static Power Consumption
NOR Results
Using the Crossbar Array
Connect to the microworld without loosing
gains from nano-pitch
 Program junctions

Addressing individual NWs
mW to each NW.

Can’t connect a

Use a nanodecoder with 2-hot addressing
(minimize the effect fault on address line).
To Crossbar Array
Nano-Decoder Evaluation

Advantage: Precise predefined codeset


Only loose Sqrt(n) wires on address fault
Disadvantage: Hard to create nanoimprint pattern

Use axially doped NW instead
Big Picture
4 Decoders
2 Decoders
Can disable decoders if needed during
operation
Programmable FET Arrays
Using Core-Shelled NWs on the bottom
and NTs on the top.
 During operation use decoder as pull up or
pull down network.

Bigger Picture
Crosspoint Density
Decoders add a lot of overhead, is it still
worth it to “go nano”?
 Still do better then CMOS bit-density. Can
easily achieve 50% of core density.

Defect Tolerance
Types of defects
 Broken wire
 Defective crosspoint
 Defective array

Add Redundancy
Broken Wire
Components fully interchangeable
 Rout around defect.

Defective Crosspoints
HP calculates 15% of crospoints “Stuck”
 Use algorithm to successfully rout around
this

Defective Array
Though more unlikely, it’s possible.
 Ensure availability of more resources to
completely rout around the array.

Effects of Defects
Look at expected yield of address decoder
and multiply by expected yield of crossbar
array.
 Both dependant on design model chosen



Type of codes used in decoder
Building block used
Conclusion

Nanoelectronic systems provide several advantages
over conventional silicon, most importantly
increased density.

Because of their extremely small size, nanoscale
devices present new problems in fabrication and
fault tolerance that must be overcome.

must be able to interface with conventional silicon
chips, at least in the short run.