Logic and Computer Design Fundamentals. Chapter 5 Arithmetic Functions and Circuits

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Logic and Computer Design Fundamentals Chapter 5 Arithmetic Functions and Circuits

Arithmetic functions Operate on binary vectors Use the same subfunction in each bit position Can design functional block for subfunction and repeat to obtain functional block for overall function Cell - subfunction block Iterative array - a array of interconnected cells An iterative array can be in a single dimension (1D) or multiple dimensions Chapter 5 2

A n-1 B n-1 A 1 B 1 A 0 B 0 X n X n-1 Y n-1 X 2 Y 2 Cell n-1 Cell 1 Y n X 1 Y 1 Cell 0 X 0 Y 0 C n-1 Example: n = 32 Number of inputs =? Truth table rows =? Equations with up to? input variables Equations with huge number of terms Design impractical! Iterative array takes advantage of the regularity to make design feasible C 1 C 0 Chapter 5 3

Binary addition used frequently Addition Development: Half-Adder (HA), a 2-input bit-wise addition functional block, Full-Adder (FA), a 3-input bit-wise addition functional block, Ripple Carry Adder, an iterative array to perform binary addition, and Carry-Look-Ahead Adder (CLA), a hierarchical structure to improve performance. Chapter 5 4

A 2-input, 1-bit width binary adder that performs following computations: X 0 0 1 1 + Y + 0 + 1 + 0 + 1 C S 0 0 0 1 0 1 1 0 A half adder adds two bits to produce a two-bit sum sum is expressed as a X Y C S sum bit, S and a carry bit, C 0 0 0 0 half adder can be specified 0 1 0 1 as a truth table for S and C 1 0 0 1 1 1 1 0 Chapter 5 5

K-Map for S, C is: This is a pretty trivial map! By inspection: S Y 1 0 1 C Y 0 1 S = X Y + X Y = X Y X 1 2 3 X 2 1 3 S = (X + Y) (X + Y) and C = C = X Y ( ( X Y) ) These equations lead to several implementations. Chapter 5 6

derive following sets of equations for a half-adder: (a) S = X Y + X Y (d) S = (X + Y) C C = X Y C = (X + (b) S = (X + Y) (X + Y) (e) S C = X Y = Y) X Y C = X Y (c) S = ( C+ X Y ) C = X Y Chapter 5 7

The most common half adder implementation is: X Y S (e) S = X Y C = X Y C A NAND only implementation is: S = (XC + YC) C = X Y X Y C S Chapter 5 8

full adder is similar to a half adder, but includes a carry-in bit from lower stages, computes a sum bit, S and a carry bit, C. For a carry-in (Z) of 0, same as half-adder: For a carry- in (Z) of 1: Z 0 0 0 0 X 0 0 1 1 + Y + 0 + 1 + 0 + 1 C S 0 0 0 1 0 1 1 0 Z 1 1 1 1 X 0 0 1 1 + Y + 0 + 1 + 0 + 1 C S 0 1 1 0 1 0 1 1 Chapter 5 9

Full-Adder Truth Table: Full-Adder K-Map: X Y Z C S 0 0 0 0 0 1 0 0 0 1 0 1 0 0 1 0 1 1 1 0 1 0 0 0 1 1 0 1 1 0 1 1 0 1 0 1 1 1 1 1 S Y C Y X 1 1 0 1 3 2 1 1 4 5 7 6 X 1 0 1 3 2 1 1 1 4 5 7 6 Z Z Chapter 5 10

From K-Map, we get: S = X Y Z + X Y Z + X Y Z + C = X Y + X Z + Y Z S function is three-bit XOR function (Odd Function): S = X C is 1 if both X and Y are 1 (sum is 2), or if sum is 1 and a carry-in (Z) occurs. Thus C can be re-written as: C = Y Z X Y (X Y) Z term X Y is carry generate. term X Y is carry propagate. + X Y Z Chapter 5 11

Full Adder Schematic Here X, Y, and Z, and C (from previous pages) are A, B, C i and C o, respectively. Also, G = generate and P = propagate. Co is a combination of 3-bit odd function (for S) and Carry logic (for C oi ): C i+1 G i (G = Generate) OR (P =Propagate AND C i = Carry In) Co = G + P Ci A i B i S i P i C i Chapter 5 12

To add multiple operands, we bundle logical signals together into vectors and use functional blocks that operate on the vectors Example: 4-bit ripple carry adder: Adds input vectors A(3:0) and B(3:0) to get a sum vector S(3:0) Note: carry out of cell i becomes carry in of cell i + 1 Description Subscript 3 2 1 0 Name Carry In 0 1 1 0 C i Augend 1 0 1 1 A i Addend 0 0 1 1 B i Sum 1 1 1 0 S i Carry out 0 0 1 1 C i+1 Chapter 5 13

Four-bit Ripple Carry Adder : four 1-bit Full Adders: B 3 A 3 B 2 A 2 B 1 A 1 B 0 A 0 FA C 3 C 2 C 1 FA FA FA C 0 C 4 S 3 S 2 S 1 S 0 Chapter 5 14

One problem with addition of binary numbers is length of time to propagate ripple carry from the least significant bit to the most significant bit. gate-level propagation path for a 4-bit RCA A 3 B3 A 2 A 1 A 0 B 2 B 1 B 0 C 3 C 2 C 1 C 0 C 4 S 3 S 2 S 1 S 0 Note: "long path" is from A 0 or B 0 though circuit to S 3. Chapter 5 15

Given Stage i from a Full Adder, we know that there will be a carry generated when A i = B i = "1", whether or not there is a carry-in. A i B i Alternately, there will be G i a carry propagated if half-sum is "1" and a carry-in, C i occurs. two signal conditions P i are called generate, denoted as G i, and propagate, denoted as P i respectively and are identified in circuit: C i+1 S i C i Chapter 5 16

Gi, Pi, Si, and Ci are local to each cell of adder Defining equations for Full Adder in term of P i and G i : S i = Pi Ci Ci+ 1 = Gi + Pi Ci P = A B G = i 4 bit CLA : 2-level i i C 1 = G 0 + P 0 C 0 C 2 = G 1 + P 1 C 1 = G 1 + P 1 (G 0 + P 0 C 0 ) = G 1 + P 1 G 0 + P 1 P 0 C 0 C 3 = G 2 + P 2 C 2 = G 2 + P 2 (G 1 + P 1 G 0 + P 1 P 0 C 0 ) = G 2 + P 2 G 1 + P 2 P 1 G 0 + P 2 P 1 P 0 C 0 i A i B i C 4 = G 3 + P 3 C 3 = G 3 + P 3 G 2 + P 3 P 2 G 1 + P 3 P 2 P 1 G 0 + P 3 P 2 P 1 P 0 C 0 Chapter 5 17

Chapter 5 18

Chapter 5 19 Figure 5-6 in text shows implementation of these equations for four bits. This could be extended to more than four bits; in practice, due to limited gate fan-in, such extension is not feasible. Instead, concept is extended another level by considering group generate (G 0-3 ) and group propagate (P 0-3 ) functions: Using these two equations: four 4-bit CLA adders 16 bits CLA 0 1 2 3 3 0 0 1 2 3 1 2 3 2 3 3 3 0 P P P P P G P P P G P P G P G G = + + + = 0 3 0 3 0 4 C P G C + =

Specifications: 16-bit CLA Delays: NOT = 1 XOR = Isolated AND = 3 AND-OR = 2 Longest Delays: 3 CLA CLA CLA CLA 2 CLA Ripple carry adder* = 3 + 15 2 + 3 = 36 CLA = 3 + 3 2 + 3 = 12 2 2 3 *See slide 16 Chapter 5 20

for n bit subtraction Subtract subtrahend N from minuend M If no end borrow occurs, then M N, result is a non-negative number and correct. If end borrow occurs, N > M and difference M N + 2 n is subtracted from 2 n, and a minus sign is appended to result. <- take 2 s complement 0 1 1001 0100 0111 0111 0010 1101 10000 1101 ( ) 0011 Examples: Chapter 5 21

subtraction, 2 n N, is taking 2 s comp. of N To do both unsigned addition and unsigned subtraction requires: A B Shared simpler logic for both addition and subtraction Binary adder Borrow Complement Binary subtractor Selective 2's complementer Subtract/Add S 0 1 Quadruple 2-to-1 multiplexer Result Chapter 5 22

Two complements: Diminished Radix Complement of N (r 1) s complement for radix r 1 s complement for radix 2 Defined as (r n 1) Ν Radix Complement r s complement for radix r 2 s complement in binary Defined as r n N Subtraction is done by adding complement of subtrahend If result is negative, takes its 2 s complement Chapter 5 23

For r = 2, N = 01110011 2, n = 8 (8 digits): (r n 1) = 256-1 = 255 10 or 11111111 2 1's complement of 01110011 2 is then: 11111111 01110011 10001100 Since 2 n 1 factor consists of all 1's and since 1 0 = 1 and 1 1 = 0, one's complement is obtained by complementing each individual bit (bitwise NOT). Chapter 5 24

For r = 2, N = 01110011 2, n = 8 (8 digits), we have: (r n ) = 256 10 or 100000000 2 2's compl of 01110011 is then: 100000000 01110011 10001101 2 s compl = 1's compl + 1, a fact that can be used in designing hardware Chapter 5 25

Given: an n-bit binary number, beginning at the least significant bit and proceeding upward: Copy all least significant 0 s Copy the first 1 Complement all bits thereafter. 2 s Complement Example: 10010100 Copy underlined bits: 100 and complement bits to the left: 01101100 Chapter 5 26

For n-digit, unsigned numbers M and N, find M N : Add 2's compl of subtrahend N to minuend M: M + (2 n N) = M N + 2 n If M > N, sum produces end carry r n which is discarded; from above, M N remains. If M < N, sum does not produce an end carry and, is equal to 2 n ( N M ), 2's compl of ( N M ). To obtain result (N M), take 2's compl of sum and place to its left. Chapter 5 27

Find 01010100 2 01000011 2 01010100 101010100 01000011 2 s comp + 10111101 00010001 carry of 1 indicates that no correction of result is required. Chapter 5 28

Find 01000011 2 01010100 2 0 01000011 01000011 01010100 2 s comp + 10101100 11101111-00010001 carry of 0 indicates that a correction of result is required. Result = (00010001) 2 s comp Chapter 5 29

For n-digit, unsigned numbers M and N, find M N in base 2: Add 1's compl of subtrahend N to minuend M: M + (2 n 1 N) = M N + 2 n 1 If M > N, result is excess by 2 n 1. The end carry 2 n when discarded removes 2 n, leaving a result short by 1. To fix this shortage, whenever and end carry occurs, add 1 in the LSB position. This is called the end-around carry. If M < N, sum does not produce an end carry and, is equal to 2 n 1 ( N M ), 1's compl of ( N M ). To obtain result (N M), take 1's compl of sum and place to its left. Chapter 5 30

Find 01010100 2 01000011 2 01010100 1 01010100 01000011 1 s comp + 10111100 00010000 +1 00010001 end-around carry occurs. Chapter 5 31

Find 01000011 2 01010100 2 01000011 0 01000011 01010100 1 s comp + 10101011 11101110 00010001 carry of 0 indicates that a correction of result is required. Result = (00010001) 1 s comp Chapter 5 32

Positive numbers and zero can be represented by unsigned n-digit, radix r numbers. We need a representation for negative numbers. To represent a sign (+ or ) we need exactly one more bit of information (1 binary digit gives 2 1 = 2 elements which is exactly what is needed). Since computers use binary numbers, by convention, the most significant bit is interpreted as a sign bit: s a n 2 a 2 a 1 a 0 where: s = 0 for Positive numbers s = 1 for Negative numbers and a i = 0 or 1 represent magnitude. Chapter 5 33

Signed-Magnitude here n 1 digits are interpreted as a positive magnitude. Signed-Complement here digits are interpreted as rest of compl of number. There are two possibilities here: Signed 1's Complement Uses 1's Complement Arithmetic Signed 2's Complement Uses 2's Complement Arithmetic Chapter 5 34

r =2, n=3 Number Sign -Mag. 1's Comp. 2's Comp. +3 011 011 011 +2 010 010 010 +1 001 001 001 +0 000 000 000 0 100 111 1 101 110 111 2 110 101 110 3 111 100 101 4 100 Chapter 5 35

If parity of three signs is 0: 1. Add magnitudes. 2. Check for overflow (a carry out of MSB) 3. sign of result is same as sign of the first operand. If parity of three signs is 1: 1. Subtract second magnitude from the first. 2. If a borrow occurs: take two s compl of result and make result sign compl of sign of the first operand. 3. Overflow will never occur. Chapter 5 36

Example 1: 0010 +0101 Example 2: 0010 +1101 Example 3: 1010 0101 Chapter 5 37

Addition: 1. Add numbers including sign bits, discarding a carry out of the sign bits (2's Compl), or using an end-around carry (1's Compl). 2. If sign bits were the same for both numbers and sign of result is different, an overflow has occurred. 3. sign of result is computed in step 1. Subtraction: Form compl of number you are subtracting and follow rules for addition. Chapter 5 38

2 s compl examples Example 1: 1101 + 0011 1 s compl examples Example 1: 1101 + 0011 Example 2: 1101-0011 Example 2: 1101-0011 Chapter 5 39

Subtraction can be done by addition of 2's Compl. 1. Complement each bit (1's Complement.) 2. Add 1 to result. circuit shown computes A + B and A B: For S = 1, subtract, B 2 s compl 3 of B is formed by using XORs to form 1 s compl and adding 1 applied to C 0. C For S = 0, add, B is 3 passed through C S unchanged 4 3 A 3 B 2 A 2 B 1 A 1 B 0 A 0 C 2 C 1 C 0 FA FA FA FA S 2 S 1 S 0 S Chapter 5 40

Overflow occurs if n + 1 bits are required to contain result from an n-bit addition or subtraction Overflow can occur for: Addition of two operands with the same sign Subtraction of operands with different signs carry 0 1 carry 1 0 +70 0 1000110-70 1 0111010 + +80 0 1010000 - -80 1 0110000 ---------------------------------------------- +150 1 0010110-150 0 1101010 Simplest way to implement overflow V = C n + C n 1 Chapter 5 41

binary digit multiplication table is trivial: (a b) b = 0 b = 1 a = 0 0 0 This is simply Boolean AND function. a = 1 0 1 Form larger products the same way we form larger products in base 10. Partial products are: 237 9, 237 4, and 237 1 partial product summation for n digit, 2 3 7 base 10 numbers requires adding up to n digits (with carries). n m digit multiply generates up to an m + n digit result. 2 1 1 4 3 9 3 9 4 8 - + 2 3 7 - - 3 5 3 1 3 Chapter 5 42

We execute radix 2 multiplication by: Computing partial products, and Justifying and summing partial products. (same as decimal) To compute partial products: Multiply row of multiplicand digits by each multiplier digit, one at a time. With binary numbers, partial products are very simple! They are either: all zero (if the multiplier digit is zero), or same as the multiplicand (if the multiplier digit is one). Note: No carries are added in partial product formation! Chapter 5 43

Partial products are: 101 1, 101 1, and 101 0 partial product summation for n digit, base 2 1 0 1 numbers requires adding up 0 1 1 to n digits (with carries) in 1 0 1 a column. n m digit multiply generates 1 0 1 up to an m + n digit result 0 0 0 (same as decimal). 0 0 1 1 1 1 Chapter 5 44

We can also make an n m block multiplier and use that to form partial products. Example: 2 2 logic equations for each partial-product binary digit are shown below: "add" columns to get product bits P0, P1, P2, and P3. Note that some columns may generate carries. b 1 b 0 a 1 a 0 (a 0. b 1 ) (a 0. b 0 ) + (a 1. b 1 ) (a 1. b 0 ) P 3 P 2 P 1 P 0 Chapter 5 45

A 0 B 1 B 0 A 1 B 1 B 0 HA HA C 3 C 2 C 1 C 0 Chapter 5 46

Chapter 5 47

Chapter 5 48

Another way to implement multipliers is to use an n m cellular array structure of uniform elements as shown: Each element computes a single bit product equal to a i b j, and implements a single bit full adder Column Sum from above Cell [ j, k ] pp [ j, k ] Carry [ j, k ] AB Co Ci FA S b[ k ] Column Sum to below a[ j ] Carry [ j, (k - 1)] Chapter 5 49

Chapter 5 50

Chapter 5 51

Contraction of a ripple carry adder to incrementer for n = 3 Set B = 001 C 3 5 X X X A 2 0 0 A 1 A 1 0 0 0 4 1 5 2 C 1 3 C 0 5 0 S 2 S 1 S 0 (a) A 2 A 1 A 0 S 2 S 1 S 0 (b) The middle cell can be repeated to make an incrementer with n > 3. Chapter 5 52

Incrementing Adding a fixed value to an arithmetic variable Fixed value is often 1, called counting (up) Examples: A + 1, B + 4 Functional block is called incrementer Decrementing Subtracting a fixed value from an arithmetic variable Fixed value is often 1, called counting (down) Examples: A 1, B 4 Functional block is called decrementer Chapter 5 53

Chapter 5 54

B 3 B 2 B 1 B 0 0 0 C 5 C 4 C 3 (a) C 2 C 1 C 0 B 3 0 B 2 0 B 1 B 0 C 3 C 2 C 1 C 0 C 2 1 C 2 2 (b) Chapter 5 55

Chapter 5 56

Extension - increase in the number of bits at the MSB end of an operand by using a complement representation Copies the MSB of the operand into the new positions Positive operand example - 01110101 extended to 16 bits: 0000000001110101 Negative operand example - 11110101 extended to 16 bits: 1111111111110101 Chapter 5 57