Integer Arithmetics: Part 1

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Transcript Integer Arithmetics: Part 1

Fixed-Point Arithmetics: Part I
Binary Representation
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Unsigned Magnitude
Signed Magnitude
Two’s Complement
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Unsigned Magnitude
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Only positive number are presented
No sign bit
For N bits we can represent the signed
integers between 0 and 2N -1
Example: 111 ->7
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Signed Magnitude
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The most significant bit is used to
represent the sign: “1” means negative,
“0” means positive
For positive numbers the result is the
same as unsigned magnitude
representation
For N bits we can represent the signed
integers between -2(N-1) +1 and +2(N-1)-1
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Disadvantage of Signed Magnitude
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Two encoding for the zero ‘0’.
Addition of two numbers of opposite sign will not yield
0!!
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-5 + 5 = (85)H + (05)
H
= (8A)
H
= -10!!
Arithmetic operations of numbers with unlike sign and
with same sign must be handled differently (subtracter
needed with unlike signs)
A – B ≠ A + (-B)
Example: 3 – 2
Addition Operation 3 + (-2)
0011 (+3)
+ 1010 (-2)
------1100 (-5) WRONG!

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Subtraction Operation (3-2)
0011 (+3)
- 0010 (+2)
------0001 (+1) CORRECT!
Disadvantage of Signed Magnitude
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A hardware adder and subtracter needed
Special treatment also for A – B if B>A
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Example 3 – 2 & 2 – 3
Subtraction Operation 3 - 2
0011 (3)
- 0010 (2)
------0001 (1) CORRECT
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Solution:
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Subtraction Operation 2 - 3
0010 (+2)
- 0011 (+3)
-----1111 (-7) WRONG
Switch order of operands (3 – 2 instead of 2 – 3)
Perform subtraction (Result = 1)
attach the minus sign (Result = -1)
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Two’s Complement example
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1 = 0001 −1 = 1110 + 1 = 1111
2 = 0010 −2 = 1101 + 1 = 1110
6 = 0110 −6 = 1001 + 1 = 1010
8 = 1000 −8 = 0111 + 1 = 1000
Note that the max positive number that can be
represented is 7! Since to get the negative of -8 we
need:
-8 = 1000
To bitwise invert : 0111
Add +1 to LSB:
+1
Result:
1000
So –(-8) = -8 (abnormal result)  8 cannot be represented
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For N bits, the max number is 2(N-1)-1 while the min
number is -2(N-1)
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Geometric Depiction of Twos Complement
Integers
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Benefits of 2’s Complement
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One unique representation of the number 0:
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0=
0000
Complement: 1111
Add +1 to LSB: +1
Result:
0000 (Ignoring carry bit)
-0 = +0
Negation: take complement and add +1
Extending word length:
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For positive number pack with leading zeros
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+3 =011
+3 = 000011
For negative numbers pack with leading ones
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-4=100
-4 =111000
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Benefits of 2’s Complement
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Subtraction Rule: to subtract ‘b’ from ‘a’, take the 2’s
complement of ‘b’ and add it to ‘a’: a – b = a + (-b)
b
a
a
2’s
Signed Mag
Compare signs bits
Equal??
Adder
If Subtraction
enable
2’s Comp
b
No
Yes
Adder: a + b
Yes
Result
Sub: a - b
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Is a > b
No
Swap Operand
Sub: a – b
Negate
Benefits of 2’s Complement
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Overflow Rule: if two numbers with same sign
are added and overflow occurs the result
number has different sign:
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Addition: 011 + 011 = 110
3 + 3 = -2
Subtraction: 110 – 011 = 011
-2 - 3 = 3
Multiplication: 011 * 010 = 110
3 * 2
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= -2
What to Do In case of Overflow
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Prevention rule: design your code with minimal possible
overflows
DSP can be configured to saturate the number at
overflow (N=4):
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5 x 2 = 0010 Overflow
5 x 2 = 0111 Saturate
Guard bits in accumulator could be useful for
intermediate results
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Example: 5 x 2 - 1 x 4 = 10 – 4 = 6
If accumulator has one extra bit called “guard bit” the final
result will not overflow!
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Multiplication Example
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1011 Multiplicand (11 dec)
x 1101 Multiplier
(13 dec)
1011 Partial products
0000
Note: if multiplier bit is 1 copy
1011
multiplicand (place value)
1011
otherwise zero
10001111 Product (143 dec)
Note: need double length result
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Unsigned Binary Multiplication
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Execution of Example
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Flowchart for Unsigned Binary
Multiplication
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Problem: Multiplication & 2’s Complement
Addition and Subtraction can be treated as
unsigned integer
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1001 (+9)
Unsigned
1001 (-7)
+0011 (+3)
+ 0011 (+3)
1100 (+12)
1100 (-4)
What about multiplication??
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x
1010
(10)
1110
(14)
0000
Unsigned
x
1010
(-6)
1110
(-2)
0000
1010
1010
1010
2’s Complement
1010
1010
10001100
2’s Complement
1010
(140)
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10001100
(-116) Wrong Result!!!
Problem: Multiplication & 2’s Complement
Addition and Subtraction can be treated as
unsigned integer
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1001 (+9)
Unsigned
1001 (-7)
+0011 (+3)
+ 0011 (+3)
1100 (+12)
1100 (-4)
What about multiplication??
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x
1010
(10)
1110
(14)
0000
Unsigned
x
1010
(-6)
1110
(-2)
0000
1010
2’s Complement
1010
1010
1010
1010
10001100
2’s Complement
Need to sign extend partial products
1010
(140)
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10001100
(-116) Wrong Result!!!
Problem: Multiplication & 2’s Complement
Addition and Subtraction can be treated as
unsigned integer
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1001 (+9)
Unsigned
1001 (-7)
+0011 (+3)
+ 0011 (+3)
1100 (+12)
1100 (-4)
What about multiplication??
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x
1010
(10)
1110
(14)
0000
Unsigned
x
1010
(-6)
1110
(-2)
00000000
1010
2’s Complement
1111010
1010
111010 Need to sign extend partial products
1010
10001100
2’s Complement
11010
(140)
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000101100
(44)
Still Wrong Result!!!
Multiplying Negative Numbers
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This does not work!
Solution 1
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Convert to positive if required
Multiply as above
If signs were different, negate answer
Solution 2
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Booth’s algorithm
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Solution 1
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Solution 1 is as follows:
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If either multiplicand or multiplier is negative
convert it to positive
Do the multiplication operation
Check the signs of the multiplicand and
multiplier if different negate the result
Adds Hardware
Complexity
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Solution 2: Booth Algorithm (1951)
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Booth starts from the fact that a series
can be represented as:
K 1
2n  2n1    2n K
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1
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1  
2
K
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1
1
1
2
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 
 2n 1            2n  
1
 2 
 2  2
1
2
 2n1  2n K
Suppose that we have to perform the following
multiplication:
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M*30 ->M * (00011110) = M * (24+23+22+21)
From series the multiplication can be written as:
M * (00011110) = M * (25 – 21) Savings on computations
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Booth Algorithm:
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Multiply the multiplicand by -2n-K when a
transition from 0 to 1 (0-1) is encountered
going from right to left.
Multiply the multiplicand by 2n+1
whenever an transition from 1-0 is
encountered
Add the partial products obtained.
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Booth Algorithm:
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When multiplying 2n-bit numbers, form 22n-bit partial
products as follows:
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When the first 1 of a block is encountered (1-0), partial
product is formed by negating the multiplicand and
appropriately shifting the negated multiplicand
When the last 1 of a block is encountered (0-1), partial
product is formed by taking the multiplicand and
appropriately shifting it
When either 0-0 or 1-1 is encountered, partial product is all
zeros
Sign-extend all partial products
Add the partial products to obtain the multiplication
result.
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Booth Algorithm: Example 1
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Multiplying: -6 x -2
1010
X 1110 (0)
00000000 0-0
0000110 1-0
000000
1-1
00000
1-1
00001100
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-6
-2
(Subtract multiplicand)
(Shift)
(Shift)
Multiplication: Why MSB is Redundant?
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Assume that we have a number represented by 4 bits
(N = 4)
2’s complement range is from -8 to +7.
The min/max number obtained from multiplication is
-56/+64  7 bits are enough to represent the result.
In general: 2N-1 bits are needed if NxN multiplication is
performed
The additional MSB is a “sign extension bit” and can be
removed
Another way to interpret it is that if converted to
unsigned the multiplication result will be (N-1) + (N-1)
+ 1 sign bits giving 2N – 1.
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