1 stochastic logic beyond cmos... prof. mingjie lin

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Stochastic Logic

Beyond CMOS ...

Prof. Mingjie Lin

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Computing Beyond CMOSComputing Beyond CMOS

Intense research into novel materials and devices:

Carbon Nanotubes…

Molecular Switches…

Biological Processes…

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Computing Beyond CMOSComputing Beyond CMOS

Many technologies still in exploratory phase:

b

a

XOR(a, b) !

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Nanoscale CircuitsNanoscale Circuits

• Topological constraints.• Inherent randomness.• High defect rates.

Features:

Challenges:

• High density of bits.

Identify general traits that impinge upon logic synthesis:

{

{

N Wires

M Wires

carbon nanowire crossbar

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Circuit Modeling Circuit Modeling

logic

0

1

0

0

1

Characterize probability of outcomes.

inputs outputs

Model defects, variations, uncertainty, etc.:

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Circuit Modeling Circuit Modeling

logic

),,( 11 mxxf a

),,( 12 mxxf a

),,( 1 mn xxf a

1x

2x

mx

Functional description is Boolean:

inputs outputs

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1x

2x

mx

Consider a probabilistic interpretation:

),,( 11 mxxp

),,( 12 mxxp

),,( 1 mn xxp

logicstochastic

logic

inputs outputs

Circuit Modeling Circuit Modeling

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stochasticlogic

Stochastic Logic Stochastic Logic

inputs outputs

0

1

0

0,1,1,0,1,0,1,1,0,1,…

1,0,0,0,1,0,0,0,0,0,…

p1 = Prob(one)

p2 = Prob(one)

serial bit streams

Consider a probabilistic interpretation:

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stochasticlogic

Stochastic Logic Stochastic Logic

inputs outputs

0

1

0 51

52

Consider a probabilistic interpretation:

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stochasticlogic

Stochastic Logic Stochastic Logic

0

1

0

01001

01000

p1 = Prob(one)

p2 = Prob(one)

parallel bit streams

Consider a probabilistic interpretation:

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stochasticlogic

Stochastic Logic Stochastic Logic

0

1

0

parallel bit streams

51

52

Consider a probabilistic interpretation:

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stochasticlogic

Stochastic Logic Stochastic Logic

Interpret outputs according to fractional weighting:

0

1

0

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Synthesis of Stochastic LogicSynthesis of Stochastic Logic

• Circuit that computes a probability distribution corresponding to a logical specification.

Given a technology characterized by:

Synthesize:

• High degree of structural parallelism.• Inherent randomness in logic/interconnects.

• Cast problem in terms of arithmetic operations.• Perform synthesis with binary moment diagrams.

Strategy:

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A real value x in [0, 1] is encoded as a stream of bits X.For each bit, the probability that it is one is: P(X=1) = x.

Probabilistic BundlesProbabilistic Bundles

01001

xX

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Arithmetic OperationsArithmetic Operations

AND

A

BC

A

BC

MUX

S

Multiplication (Scaled) Addition

ba

BPAP

CPc

)()(

)(

)

)1(

()](1[)()(

)(

bsas

BPSPAPSP

CPc

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When A is a high, a FET-like region causes high resistance between the VDD and A.

A

VDD

A{

{N Wires

M Wires

Nanowire Crossbar (Nanowire Crossbar (idealizedidealized))

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Nanowire Crossbar (Nanowire Crossbar (idealizedidealized))

{{N Wires

M Wires

Randomized connections,yet nearly one-to-one.

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a0

a1

a2

a3

VDD

b0

b1

b2

b3

a3b2

a0b1

a1b3

a2b0

Inversion Occurs a0 a1 a3 a2

VDD VDD

b3 b2 b0 b1

Shuffled ANDShuffled AND

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A1

A2

{}B

{

Takes the AND of randomly chosen pairs.Takes the AND of randomly chosen pairs.

MultiplicationMultiplication

Shuffled AND

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VDD

a0

a1

a2

a3

b0

b1

b2

b3

Densit

y of 1

/4

a0

a1

b1

a3

VDD

Densit

y of 3

/4

BundleplexingBundleplexing

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Scaled AdditionScaled Addition

a0

a1

a2

a3

b0

b1

b2

b3

a3

a2

b2

a1

Randomly selection of wires from different bundles, Randomly selection of wires from different bundles, according to a fixed ratio..

¾ Bundleplexer

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Stochastic LogicStochastic Logic

Shuffled ANDs,Bundleplexers

Shuffled ANDs,Bundleplexers

{{

A0

A1

.

.

.

{An

} B

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Stochastic LogicStochastic Logic

Shuffled ANDs,Bundleplexers

Shuffled ANDs,Bundleplexers

{{{

}...

1

0

1

5

2

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Lecture schedule

See Webpage:

www.eecs.ucf.edu/~mingjie/EEL4783

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Final issues

• Come by my office hours (right after class)

• Any questions or concerns?