Download Arithmetic Circuits

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
ELEC353
S. al Zahir
Sign-Magnitude Representation
-7
-6
-5
1111
1110
+0
0000
+1
0001
1101
0010
+2
+
-4
1100
0011
+3
0 100 = + 4
-3
1011
0100
+4
1 100 = - 4
-2
1010
0101
1001
-1
+5
-
0110
1000
-0
0111
+6
+7
High order bit is sign: 0 = positive (or zero), 1 = negative
Low order bits represent the magnitude: 0 (0002) thru 7 (1112)
Number range for n bits = ± (2n-1)
Two representations for 0
UBC
ELEC353
S. al Zahir
Sign-Magnitude Representations
Addition and Subtraction of Numbers
1- Both operands have same sign:
• Result sign bit is the same as the
operands' sign
2- Operands have different sign:
• Operation is subtraction.
• Sign of result depends on sign of
number with the larger magnitude
R = X-Y
if X>Y subtract |Y| from |X|,
sign(R) = sign(X).
if X<Y subtract |X| from Y|,
sign(R) = sign(Y).
4
0100
-4
1100
+3
0011
+ (-3)
1011
7
0111
-7
1111
4
0 100
-4
1 100
-3
1 011
+3
0 011
1
0 001
-1
1 001
UBC
ELEC353
S. al Zahir
Ones Complement Representation
Disadvantages of Sign-Magnitude Representation:
• Cumbersome addition/subtraction
• Must compare magnitudes to determine sign of result
Ones Complement Representation:
Definitions
N is positive number, then N is its negative 1's complement
n
N = (2 - 1) - N
2 4 = 10000
-1 = 00001
Example: 1's complement of 7
Shortcut method:
simply compute bit wise complement
0111 --> 1000
1111
2
4
= -1 in 1's comp.
= 10000
-7 = 00111
1000
= -7 in 1's comp.
UBC
ELEC353
S. al Zahir
Ones Complement Representation
-0
-1
-2
1111
1110
+0
0000
+1
0001
1101
0010
+2
+
-3
1100
0011
+3
0 100 = + 4
-4
1011
0100
+4
1 011 = - 4
-5
1010
0101
1001
-6
+5
-
0110
1000
-7
0111
+6
+7
• Subtraction implemented by addition using 1's complement
• Still two representations of 0! This causes some problems
• Some complexities in addition
UBC
ELEC353
S. al Zahir
Two Complement Representations
N* =2’s comp of N
Similar to 1's complement
except shifted by one position clockwise
-1
-2
-3
1111
1110
N* = 2n - N
+0
0000
+1
0001
1101
0010
+2
+
-4
1100
0011
+3
0 100 = + 4
-5
1011
0100
+4
1 100 = - 4
-6
1010
0101
1001
-7
+5
-
0110
1000
-8
0111
+6
+7
• Only one representation for 0
• One more negative number than positive number
UBC
ELEC353
S. al Zahir
Two Complement Representations
n
N* = 2 - N
4
2 = 10000
Example: Twos complement of 7
sub 7 =
0111
1001 = repr. of -7
4
2 = 10000
Example: Twos complement of -7
sub -7 = 1001
0111 = repr. of 7
Shortcut method:
Twos complement = bitwise complement + 1
0111 -> 1000 + 1 -> 1001 (representation of -7)
1001 -> 0110 + 1 -> 0111 (representation of 7)
UBC
ELEC353
S. al Zahir
Number Systems
Ones Complement Calculations
Add carry-out of sign-bit to LSB
(assuming no overflow)
Method:
1- Add two n-bit numbers
starting from LSB
2- If there is an end carry
(into position n+1), then remove
carry and add a 1 to the LSB
(end-around carry).
4
0100
-4
1011
+3
0011
+ (-3)
1100
7
0111
-7
10111
End around carry
1
1000
4
0100
-4
1011
-3
1100
+3
0011
1
10000
-1
1110
End around carry
1
0001
UBC
ELEC353
S. al Zahir
Number Systems
Ones Complement Calculations
Why does end-around carry work?
Its equivalent to subtracting 2n and adding 1
(i.e. performing -2n+1)
4
0100
-3
1100
1
10000
1
Case 1 (M > N):
S = M - N = M + N = M + (2n - 1 - N) = (M - N) + 2n - 1
After end-around carry
SUM = S -2n+1= (M - N) + 2n - 1 - 2n+ 1 = M - N
Case 2 (-M-N, where M + N < 2n-1);
-M + (-N) = M + N = (2n - M - 1) + (2n - N - 1)
= 2n + [2n - 1 - (M + N)] - 1
after end around carry:
= 2n - 1 - (M + N)
0001
-4
1011
+ (-3)
1100
-7
10111
1
this is the correct form for
representing -(M + N) in 1's complement
1000
UBC
ELEC353
S. al Zahir
Number Systems
Twos Complement Calculations
Method (If no overflow):
1- Add two n-bit numbers
starting from LSB
2- Discard the carry out of the
sign-bit.
Overflow condition for
2’s complement:
if carry into sign-bit differs from
carry out of sign-bit then
the results is an overflow
4
0100
-4
1100
+3
0011
+ (-3)
1101
7
0111
-7
11001
4
0100
-4
1100
-3
1101
+3
0011
1
10001
-1
1111
Simpler addition scheme makes twos complement the most common
choice for integer number systems within digital systems
UBC
Number Systems
ELEC353
S. al Zahir
Twos Complement Calculations
Discarding End Carry:
is equivalent to subtracting 2n
Case 1 (-M+N, where N > M):
S = -M + N = M* + N = (2n - M) + N = 2n - (N - M)
After discarding end carry
SUM = S -2n = 2n - (N - M) - 2n = N - M
Case 2 (-M + (-N), where M + N < 2n-1):
S = -M + (-N) = M* + N* = (2n - M) + (2n - N)
= 2n - (M+N) + 2n
After discarding end carry
SUM = S -2n = 2n - (M+N) + 2n - 2n
= 2n - (M+N) = (M+N)*
4
0100
-3
1101
1
10001
-4
1100
+ (-3)
1101
-7
11001
UBC
ELEC353
S. al Zahir
Overflow Conditions (2’s Complement)
Overflow occurs when the result of adding two positive (or two negative) n-bit
numbers requires more than n bits to be expressed correctly.
Overflow indications:
Adding two positive numbers results in a negative number
Adding two negative numbers results in a positive number
-1
-2
-3
-4
-1
+0
1111
1110
0001
1101
0010
1100
-5
0100
1010
0101
1001
-7
0110
1000
-8
0111
+6
+7
5 + 3 = -9
-3
+2
0011
1011
-6
-2
+1
0000
+3
-4
1111
+1
0000
1110
0001
1101
0010
1100
-5
1011
+4
+5
+0
1010
-6
+2
0011
+3
0100
+4
0101
1001
-7
0110
1000
0111
-8
+7
-7 - 2 = +7
UBC
+6
+5
ELEC353
S. al Zahir
Overflow Examples
5
0111
0101
-7
1000
1001
3
0011
-2
1100
-8
1000
7
10111
Overflow
Overflow
5
0000
0101
-3
1111
1101
2
0010
-5
1011
7
0111
-8
11000
No overflow
No overflow
Simple Check:
Overflow occurs when carry into sign-bit
does not equal the carry out of the sign-bit.
UBC
ELEC353
S. al Zahir
Logic Circuits for Binary Addition
With twos-complement numbers, adders can perform both addition
and subtraction.
Half Adder Circuit
Ai Bi Sum Carry
0 0
0
0
0 1
1
0
1 0
1
0
1 1
0
1
Ai
0
Bi
0 0
1
1
1
1
0
Sum = Ai Bi + Ai Bi
Ai
0
Bi
0
0
1
1
0
0
1
Carry = Ai Bi
= Ai + Bi
Ai
Sum
Bi
Half-adder Schematic
Carry
UBC
ELEC353
S. al Zahir
Logic Circuits for Binary Addition
Full Adder
A3 B3
Cascaded Multi-bit
Adder
A2 B2
A1 B1
+
+
S3
C3
A0 B0
+
S2
C2
+
S1
usually interested in adding more than two bits
this motivates the need for the full adder
UBC
C1
S0
Related documents