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Switching Theory / Schakeltechniek 5A050

Lab session Optimization

Highlights previous session

B0 01 1 A0 01 1

S0 11 0

C0 00 1

S = AB + AB C = AB

truth table

Boolean expression

implementationgate

A B

S

design trajectory C

testing

representations

Highlights previous session

• Expressions and gate implementations not unique

– optimization possible

– Boolean-algebra domain

• Manipulation of Boolean expressions

– not systematic: intuition required – unclear when optimality is achieved – gives insight in digital circuits

From truth tables to gates

… An… 0

… 1 A00

0. ..

X0 1. ..

X = A0…An + … A0An

X truth table expression gate implementation

... ...

product: minterm expression: sum-of-products (SOP)

gate implementation: 2-level

• disadvantage: size

(gates with many inputs + large number of gates)

• advantage: timing

(all signals travel through exactly 2 gates)

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2-level optimization: goal

B0 01 1 A0 01 1

X0 01

1 AB + AB = A(B+B) = A • 1 = A A

B

X

X

A optimal

2-level implementation Goal: find the smallest possible 2-level implementation

2-level optimization: basic idea

B0 01 1 A0 01 1

X0 01 1 A

B

X

AB + AB = (A+A)B = B

X B

• look in the truth table for 2 lines where 1 variable changes and both with 1 outputs

• eliminate this changing variable

• implement the 2 lines with 1 (sometimes 0) AND-gate

2-level optimization: cubes

• every k-dimensional plane represents one AND

• method useful up to three variables A0

00 01 11 1

B0 01 01 01 1

C0 01 01 01 1

X0 00 11 11 1

A BC

X X = A + BC

000 100

110 011 111

010 001 101

A B

C 1 in truth table

BC

A

AB AB A

AB AB B

2-level optimization: Karnaugh maps

• 2-dimensional method

• useful up to four to six variables

neighboring elements:

• differ in one variable

• neighboring 1s can be combined, eliminating the variable that changes value

X = A + B A

B X:

1 1 1

B0 01 1 A0 01 1

X0 11 1 alternative representation

of truth table

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2-level optimization: Karnaugh maps

• combined neighbors can be neighbors again

• rule of thumb:

elliptic groups of 2n ones can be combined (implicants)

• biggest such groups are prime implicants

• look for a minimal set of prime implicants

• gives the smallest possible 2-level SOP expression / gate implementation

A

B X:

1 1 1 1

1

C

X = A + BC ABC

ABC AB

ABC ABC

AB A

Karnaugh maps: 4 variables

A

B X:

1 1 1 1

1

C 1 1 D 1

AB C

B X

A C B D A D

Karnaugh maps: borders

A

B 1

C 1

D ACD

upper and lower border connected

A

1 B

C

1 D

CD

1

left and right 1

border connected

Karnaugh maps: corners

A

B 1

C

1

D

1 1

connection via upper and lower border

and via

left and right border

C D

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Example: 3 variables

A0 00 01 11 1

B0 01 01 01 1

C0 01 01 01 1

Z0 01 01 11 1

C AB

Z Z = AB + C

A

B Z:

1

1 1 1

1

C

smallest possible 2-level SOP implementation

Example: 4 variables

1 B 1 1 1 1

C 1 1 D 1

1

1

A

1 B 1 1 1 1

C 1 1 D 1

1

1

A A

1 B 1 1 1 1

C 1 1 D 1

1

1 Find the smallest

possible SOP expression for the following K-map

essential prime implicants 1 B

1 1 1 1

C 1 1 D 1

1

1

A

CD + CD + BC CD + CD + BD

2-level optimization: recipe

• (Give a truth table)

• Fill out K-map

• Cover all 1s with prime implicants

– find all essential prime implicants – find a minimal set of prime implicants

covering remaining 1s

• Create a SOP expression

– Deduce a product term from each of the selected prime implicants

– Take the sum of these product terms

Example

Reduce the following expression as much as possible:

AB + BC + AD + CD + AB + BC

1 1

1 1 1

1 1

1

1

1 B

C D

A

1 1

B 1 1 1

1 1 1

C 1 1 D 1

1

1 A

1 1 1

AB + AC + BD + BC no essential prime

implicants !

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Don’t cares

• Some A,B,C,D input combinations cannot occur

• Those combinations are don’t cares

• Designer may choose output for those combinations

• Gives freedom for further reduction of circuit

circuit to be designed A

B C D some given X

circuit

Don’t cares: example

• Don’t cares are denoted with x’s

• Generation of prime implicants: consider x as 1

• Select minimal set of implicants covering all real 1s

• Consider uncovered x-s as 0

A

B X:

x

1 x x

x

C 1 1 D 1

1 1 1

1 1

A

B X:

1

1 1 1

0

C 1 1 D 1

1 1 1

1 1 X = A + B

Multi-level optimization

ADF + AEF + BDF + BEF + CDF + CEF + G

(A + B + C)(D + E)F + G

• often smaller circuits (less and smaller gates)

• often slower (some signals must go through > 2 ports)

• unstable timing / glitches

• unfortunately NOT exact

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