COMPUTER ORGANIZATION
AND ASSEMBLY LANGUAGE
Lecture 5 & 6
Computer Arithmetic
Integer Representation, Integer Arithmetic
Course Instructor: Engr. Aisha Danish
Arithmetic & Logic Unit
Does the calculations
Everything else in the computer is there to service
this unit
Handles integers
May handle floating point (real) numbers
May be separate FPU (maths co-processor)
May be on chip separate FPU (486DX +)
ALU Inputs and Outputs
Integer Representation
Only have 0 & 1 to represent everything
Positive numbers stored in binary
e.g. 41=00101001
No minus sign
No period
Sign-Magnitude
Two’s compliment
Sign-Magnitude
The simplest form of representation that employs a
sign bit is the sign-magnitude representation
In an n-bit word, the rightmost n-1 bits hold the
magnitude of the integer
+18 = 00010010
-18 = 10010010
Sign-Magnitude
Problems
Need to consider both sign and magnitude in arithmetic
Two representations of zero (+0 and -0)
Inconvenient because it is slightly more difficult to test
for 0 (an operation performed frequently on
computers) than if there were a single representation
Sign-magnitude representation is rarely used in
implementing the integer portion of the ALU
Instead, the most common scheme is twos complement
representation
Two’s Compliment
Like sign magnitude, twos complement
representation uses the most significant bit as a sign
bit, making it easy to test whether an integer is
positive or negative
It differs from the use of the sign-magnitude
representation in the way that the other bits are
interpreted
Characteristics of Twos Complement
Representation and Arithmetic
Two’s Compliment
+3 = 00000011
+2 = 00000010
+1 = 00000001
+0 = 00000000
-1 = 11111111
-2 = 11111110
-3 = 11111101
Alternative Representations for 4-Bit
Integers
Benefits
One representation of zero
Arithmetic works easily
Negating is fairly easy
3 = 00000011
Boolean complement gives 11111100
Add 1 to LSB 11111101
Negation Special Case 1
0= 00000000
Bitwise not 11111111
Add 1 to LSB +1
Result 1 00000000
Overflow is ignored, so:
-0=0
Negation Special Case 2
128 = 10000000
bitwise not 01111111
Add 1 to LSB +1
Result 10000000
So:
-128 = 128
Monitor MSB (sign bit)
It should change during negation
Range of Numbers
8 bit 2s compliment
+127 = 01111111 = 27 -1
-128 = 10000000 = -27
16 bit 2s compliment
+32767 = 011111111 11111111 = 2 15 - 1
-32768 = 100000000 00000000 = -215
Conversion Between Lengths
Positive number pack with leading zeros
+18 = 00010010
+18 = 00000000 00010010
Negative numbers pack with leading ones
-18 = 10010010
-18 = 11111111 10010010
i.e. pack with MSB (sign bit)
Addition and Subtraction
Normal binary addition
Monitor sign bit for overflow
Take twos compliment of substahend and add to
minuend
i.e. a - b = a + (-b)
So we only need addition and complement circuits
Overflow
For unsigned integers, overflow occurs when there is
a carry out of the msb.
1000 (8) +1001 (9) ----------- 1 0001 (1)
For 2's complement integers, overflow occurs when
the signs of the addends are the same, and the sign
of the result is different
0011 (3) + 0110 (6) ---------- 1001 (-7)
(note that a correct answer would be 9, but 9
cannot be represented in 4-bit 2's complement)
Hardware for Addition and Subtraction
Problems
Represent the following decimal numbers in both
binary sign/magnitude and twos complement using
16 bits:
I. +512
II. -29
Represent the following twos complement values in
decimal:
I. 1101011
II. 0101101.
Problem
Assume numbers are represented in 8-bit twos
complement representation. Show the calculation of
the following:
I. 6+13
II. -6+13
III. 6-13
IV. -6-13
Problem
Find the following differences using twos complement
arithmetic:
Multiplication
Complex
Work out partial product for each digit
Take care with place value (column)
Add partial products
Multiplication Example
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
Unsigned Binary Multiplication
Execution of Example
Flowchart for Unsigned Binary
Multiplication
Division
More complex than multiplication
Negative numbers are really bad!
Based on long division
Division of Unsigned Binary Integers
00001101 Quotient
Divisor 1011 10010011 Dividend
1011
001110
Partial
1011
Remainders
001111
1011
Remainder
100
Flowchart for Unsigned Binary Division