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Page 1: Computer Organization [E & TC] Solution Manual

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Important Solved Examples

Example 2.2.3

Solution :

Example 2.2.4

Solution :   (49)10  = (0110001)2

Example 2.2.5

Solution :   (A43)16  = (0101001000011)2

TECHNICAL PUBLICATIONS - An up thrust for knowledgeTM(2 - 1)

2

  Data Representation

and Arithmetic Algorithms

1 0 1 0 1 1 0 1

0 1 0 1 0 0 1 0

Number 

NOT operation

1's complement of number 

0 1 1 0 0 0 1

1 0 0 1 1 1 0

Number 

NOT operation

1's complement of number 

Number 

NOT operation

1's complement of number 

0

1

1

0

0

1

1

0

0

1

0

1

1

0

0

1

0

1

0

1

0

1

1

0

1

0

2   Arithmetic Unit

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Example 2.2.6

Solution :

Example 2.2.7

Solution :

Example 2.2.8

Solution :

Example 2.2.11

Solution :   We have

( )0111002

    ( )2810

  and

( )01111 2     ( )15 10

  ( )10000 2    1's complement of 15

( )100011 2     1's complement of 28

Computer Organization 2 - 2 Arithmetic Unit  

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0   1 1 1

0   1   0 0

0 0   1 1

0011

1

10100101

Number 

1's complement

Add 1

2's complement

+

0   1   0 01 1   0

1

Binary equivalent of (50)10

1's complement of (50)10

Add 1

2's complement of (50)10

1011001+

1   0 0   1 1 1   0

Carry1

1   0 0   11 1   0

1

1

Number 

1's complement

Add 1

2's complement

1001010

+

0   1   0   1   0   1   0

Carry

0

1

1

0

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Addition of (– 28) and (– 15) :

Sign-extension  

+

1 1 0 0 0 1 1

Sign-extension     1 1 1 0 0 0 0

Carry 1 1 0 1 0 0 1 1

1 Add end-around carry

1 0 1 0 1 0 0 (– 43) Result is in 1'scomplement form

Verification :   1 0 1 0 1 0 0

0 1 0 1 0 1 1     ( )43   10

Note

  Here, the magnitude of greater number is 5-bit; however, the magnitude of the result

is 6-bit. Therefore, the numbers are sign-extended to 7-bits.

  For proper result we suggest to use 1 sign-bit extension to the number having greater

magnitude and represent the number having smaller magnitude with extended

number of bits.

Example 2.5.8

Solution :

Multiplication  :

Computer Organization 2 - 3 Arithmetic Unit  

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1 1 1 10   Multiplicand

1

10100

00100   1's complement of multiplicand

Add 1

2's complement of multiplicand

+

Multiplicand =

Multiplier =

Recoded multiplier =

(11011) = (– 5)

(0 0 1 1 0 ) = (3)

0 + 1 0 – 1

2 10

2 10

Implied zero

1

0

00000

0

+

0

1   0   1 1

 – 10+ 1×

1010 0 0

0 0

1 1 1   0   1 1

0 0 0 0 0

1 1 1 1   0   100

+

+

(– 15)10

2's complement of multiplicand

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Note   Shaded region indicate sign extension.

Example 2.5.9

Solution :

Multiplication :

Note   Shaded region indicate sign extension

Example 2.5.10

Solution :

Computer Organization 2 - 4 Arithmetic Unit  

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1

0

1   0   1 1

001

+

0

1

0 0   1   0   1

Multiplicand

1's complement of multiplicand

Add 1

2's complement of multiplicand

Multiplicand =

Multiplier =

11011 (– 5)

0 0 1 1 1 0

Implied zero(7)

Recoded multiplier = 0 +1 0 0 – 1

1

+1

1   0   1 1

 –1000

1

0 0 0 0

×

0 0 0 0 0 0 1 0

0000

0 0 0 0 0 0 0

1 1 1   0   1 1

0 0 0 0   0

1 1 1   0 1 1 1   0   1

+

+

+

2's complement of multiplicand

(– 35)

+

1

0

0   1   0   1

0101

+   1

1   0 0   1   1

Multiplicand

1's complement of multiplicand

Add 1

2's complement of multiplicand

Multiplicand =

Multiplier =

Recoded multiplier =

(+13) = (0 1 1 0 1)

(–5) = (1 1 0 1 1)

1 1 0 1 1 0

0 – 1 +1 0 – 1

10 2

10 2   Implied zero

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Multiplication :

Note   Shaded region indicate sign extension

Example 2.5.11

Solution :

Example 2.6.7

Solution :

+ 13 = 0 1 1 0 1– 6 = 1 0 1 0 2's complement of 6

Bit pair recoding of – 6

Computer Organization 2 - 5 Arithmetic Unit  

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1

 – 1

0   1   0   1

 – 10+ 10

1 1 1 1 1   0 0   1 1

00000000

0 0 0   1 1   0   1

1 1   0 0   1 1

0 0 0 0 0

1 1 1   0   1 1 1   1 1   1

2's complement of multiplicand

2's complement of multiplicand

(– 65)

+

+

+

+

×

1

0

0   1 1 1

 –100+1

Multiplier 

Multiplicand

Recoded multiplier 

Recoded multiplier 

2's complement of – 13

(– 195)

11

0

0 0   1 1

 –100+1

00 0 0 0 0   1 1   0   1

000000000

00 0 0   0   0 0 0

00 0 0 0 0 0

11 0 0 1 1

1 1   0 0   1 1 1 1   0   1

+

+

+

+

×

11   0   1Signextension

0   0

–1 –2

Implied 0 toright of LSB

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Multiplication

  ( 13) ( 6)   = (1 0 1 1 0 0 1 0)2   = ( )78 10

Example 2.7.13

Solution :

Computer Organization 2 - 6 Arithmetic Unit  

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11   0 0

+

11   0   1

 –1 –2

1 1   0

01   0   1 1

01 1 1   0 0   1   0

2's complement of 13 2

2's complement of 13

2's complement of 78

0 1   1 0   1

0 1   1 0

1 0   0 1   1   0

01

13

13 2 by shift left 1-bit

2's complement of 13 2

1

0

0 0 0

111

1

0011

+

Divisor (B)

1's complement

Add 1

2's complement

Initially

Shift left A, Q

Shift left A, Q

Shift left A, Q

Shift left A, Q

Subtract B

Subtract B

Subtract B

Subtract B

Set Q0

Set Q0

Set Q0

Set Q0

Restore (A+B)

Restore (A+B)

A Register 

0 0 0 0 0

0 0 0 0 1

0 0 0 1 1

0 0 1 1 0

0 0 1 0 0

1 1 1 0 0

1 1 1 0 0

1 1 1 0 0

1 1 1 0 0

1   1 1 0 1

1   1 1 1 1

0   0 0 1 0

0   0 0 0 0

0 0 1 0 0

0 0 1 0 0

0 0 0 0 1

0 0 0 1 1

1 1 0 0

1 0 0   0

0 0 0   0

0 0 0   0

0 0 1   0

1 0 0 0

0 0 0 0

0 0 0 1

0 0 1 1

Q Register 

First cycle

Second cycle

Third cycle

Fourth cycle

Dividend

Remainder 

Quotient

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Example 2.7.15

Solution :

Example 2.7.16

Solution :

Computer Organization 2 - 8 Arithmetic Unit  

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 A Register Q Register 

0 0 0 0 1 1 0 0

0 0 0 0 0 1 1 0 0

1 1 1 0 1

1 1 1 0 1

0 0 0 0 0

1 1 0 1 0

1 1 1 0 1

1 1 1 1 0

0 0 0 0 0

1 1 1 0 1

1 1 1 0 1

0 0 0 0 0

0 0 0 1 1

1 1 1 0 1

0 0 0 1 1

0 0 0 1 1

1 0 0 0

0 0 0

0 0 1

0 1 0

0 0 0 1

0 0 1 0

0 1 0 0

Initially

Shift

Shift

Shift

Shift

Dividend

First cycle

Second cycle

Third cycle

Fourth cycle

Quotient

Restoreremainder 

Subtract B

Subtract B

 Add

 Add

 Add divisor 

0 1 1

1 0   0

0

1

1

1 1 0 1

+

Divisor (B)

1's complement

Add 1

2's complement

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Example 2.7.17

Solution :

Computer Organization 2 - 9 Arithmetic Unit  

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Initially

Shift left A, Q

Shift left A, Q

Subtract B

 Add B

A Register 

0 0 0 0 0

0 0 0 0   1

1 1 1 0 0

1 1 1 0 1

0 0 0 1 1

1   1 1 1 0

1   1 1 1 1

0 0 0

Q Register 

First cycle

Second cycle

Third cycle

Fourth cycle

Dividend

Quotient

1 0 0 0

0 0 0

Remainder 

0 0 0 0

0 0 0 0

Shift left A, Q

 Add B

1 1 1 0

0   0 0 0 1

0 0 0

0 0 0 1

1

0 0 1   10

Shift left A, Q

Subtract B

0 0 1 0

1   1 1 1 1

0 0   1

0 0   1   0

0

1 1 0   11

 Add B

1 1 1 1

0 0 0 1 0

1

0 0 1 10   Restore remainder 

Divisor 

1's complement

Add 1

2's complement

0 0 1 1

1 1 0 0

1 01 1

+   1

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Example 2.8.9

Solution :

Step 1 :  Convert decimal number in binary format.

Integer part :

Computer Organization 2 - 10 Arithmetic Unit  

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Initially

Shift left A, Q

Shift left A, Q

Shift left A, Q

Shift left A, Q

Subtract B

 Add B

Subtract B

A Register 

0 0 0 0 0

0 0 0 0 1

1 1 1 0 0

1 1 1 1 1

0 0 1 0 1

1 1 1 0 1

0 0 0 1 1

0 0 0 1 1

1 1 1 0 1

1   1 1 1 0

1   1 1 1 1

0   0 0 1 0

0   0 0 1 0

1 0 1 1

0 1 1

1 1 0 0

1 0 0

0 0 1

1 1 0

1 0 0

0 0 1

Q Register 

First cycle

Second cycle

Third cycle

Fourth cycle

Dividend

Remainder    Quotient

0 1 1   00

 Add B

1

1

16 309

19

1

0

1

3

5   LSD

MSD

RQ

16

16

  (309)10  = (135)16

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  (309)10

  = (135)16

 = (000100110101)2

Fractional part :

  (0.1875)10   = (0.001)2

  (309.1875)10   = (100110101.001)2

Step 2 :   Normalize the number

100110101.001 = 1.00110101001    28

Step 3 :   Single precision representation for a given number

S = 0, E = 8, M = 0011 0101 0010

Bias for single precision format is = 127

E = E + 127 = 8 + 127 = (135)10  = (10000111)2

Number in single precision format is given as

Step 4 :   Double precision representation

For a given number

S = 0, E = 8, M = 0011 0101 0010

Computer Organization 2 - 11 Arithmetic Unit  

TECHNICAL PUBLICATIONS - An up thrust for knowledgeTM

0   0

1

1

Hex number 

0 0   1

3

10 1   0

5

10   Binary number 

0.1875 2   =   0 375.

0.375 2   =   0 75.

0.75 2   =   1 5.

MSD

LSD

0

0

1

Fraction Base Product

×

×

×

0   1   0 0 0 0   1   1 1 0 0 1 1   0 1   0

31 30 23   22

0

0

1 0 0   1   0

Sign Exponent   Mantissa

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Bias for double precision format is = 1023

E  = E + 1023 = 8 + 1023 = (1031)10  = (10000000111)2

 Number in double precision format is given as

Example 2.8.10Solution :

Step 1 :  Convert the decimal number in binary format.

Fractional part :

  (0.0625)10   = (0.0001)2

Step 2 :   Normalize the number

0.0001 = 1.0000   2– 4

Computer Organization 2 - 12 Arithmetic Unit  

TECHNICAL PUBLICATIONS - An up thrust for knowledgeTM

Sign   Exponent   Mantissa (52 - bits)

0 1 0 0 0 0 0 0 0 1 1 1 0 0   1 1   0   1   0   1   0 0   1   0 0

0   1   0 0 0 0 0 0 0 1 1 1 0 0   1 1   0

63 62 52   51

0 0

1 0

1   0   1   0 0 1 0

Sign Exponent   Mantissa

0.0625 2   =   0 125.

0.125 2   =   0 25.

0.25 2   =   0 5.

MSD

0

0

0

Fraction Base Product

×

×

×

0.5 2   =   1 0.

LSD

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Step 3 :   Single precision representation

For a given number

S = 0, E = – 4, M = 0000

Bias for a single precision format is = 127

E  = E + 127 = – 4 + 127 = (123)10  = (01111011)2

Number in single precision format is given as

Step 4 :   Double precision representation

For a given number

S = 0, E = – 4, M = 0000

Bias for double precision format is = 1023

E  = E + 1023 = (1019)10  = (01111111011)2

 Number in double precision format is given as

Example 2.8.11

Solution : i) 32.75

Step 1 :  Convert the decimal number in binary format.

Integer part :

Computer Organization 2 - 13 Arithmetic Unit  

TECHNICAL PUBLICATIONS - An up thrust for knowledgeTM

0 0 1 1 1 1 0 1 1 0 0 0

31 30 23   22

0

Sign Exponent   Mantissa

0 0

0

0   0   1 1 1 1 1 1 1 0 1 1

63 62

0

Sign Exponent Mantissa (52 bits)

00 0 0

52 51 1 0

16

16

32

2

0

0

2

Q R

MSD

LSD

  (32)10   = (020)16

0 0 0 0 0 0   1   0 0 0 0 0

0   2   0   Hex number 

Binary number 

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  (32)10   = (020)16  = (0000 0010 0000)2

Fractional part :

  (0.75)10   = (0.110)2

  (32.75) = (010000.110)2

Step 2 :   Normalize the number

0100000.110 = 1.00000110   25

Step 3 :   Single precision representation

For a given number

S = 0, E = 5, M = 00000110

Bias for a single precision format is = 127

E = E + 127 = 5 + 127 = (132)10  = (10000100)2

Number in single precision format is given as

ii) 18.125

Step 1 :  Convert the decimal number into binary format

Integer part :

Computer Organization 2 - 14 Arithmetic Unit  

TECHNICAL PUBLICATIONS - An up thrust for knowledgeTM

0.75 2   =   1 5.

0.5 2   =   1 0.

0.0 2   =   0 0.

MSD

LSD

1

1

0

Fraction Base Product

×

×

×

0   1   0 0 0 0   1   0 0 0 0 0 0 0   1 1   0 0 0 0

31 30 23   22   0

Sign   Exponent   Mantissa

16

16

18

1

0

2

1

Q R

MSD

LSD

  (18)10   = (12)16

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  (18)10   = (12)16  = (000 100 10)2

Fractional part :

(0.125)10   = (0.001)2

  (18.125)10   = (010010.001)2

Step 2 :   Normalize the number

10010.001 = 1.00100010    24

Step 3 :   Single precision representation

For a given number

S = 0, E = 4, M = 00100010

Bias for a single precision format is = 127

E   = E + 127 = 4 + 127 = (131)10  = (10000011)2

Number in single precision format is given as

Example 2.8.12

Solution :  Refer section 2.3.1

Computer Organization 2 - 15 Arithmetic Unit  

TECHNICAL PUBLICATIONS - An up thrust for knowledgeTM

0 0 0 1 0 0 1 0

1 2   Hex number 

Binary number 

0.125 2   =   0 25.

0.25 2   =   0 5.

0.5 2   =   1 0.

MSD

LSD

0

0

1

Fraction Base Product

×

×

×

0   1   0 0 0 0   0   1 1 0 0 1 0 0   0 1   0 0 0

31 30 23 22 0

Sign   Exponent   Mantissa

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Step 1 :   Convert decimal number in binary format integer part.

Integer part :

2 84 0 LSD

2 42 0

2 21 1

2 10 0

2 5 1

2 2 0

2 1 1 MSD

0

  (84)10   = (1010100)2

Fractional part :

0.25    2 = 0.50 = 0.50 with carry 0 MSD

0.50    2 = 1.00 = 0.00 with carry 1 LSD

  (0.25)10   = (0.01)2

  – (84.25)10   = (1010100.01)2

Step 2 :   Normalize the number

– 1010100.01 = – 1.01010001   26

Step 3 :   Single precision representation

For a given number

S = 1, E = 6 and M = 0101 0001

Bias for single precision format is = 127

  E   = E + 127 = 6 + 127 = (1 3 3 )10

= (1 0 0 0 0 1 0 1) 2

 Number in single precision format is given as

1

ign

1 0 0 0 0 1 0 1

Exponent

0 1 0 1 0

S  

0 0 1 0 0 . .. . 0

Mantissa (23-bits)  

Step 4 :   Double precision representation for a given number

S = 1, E = 6 and M = 0101 0001

Computer Organization 2 - 16 Arithmetic Unit  

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Bias for double precision format is = 1023

  E   = E + 1023 = 6 + 1023 = (1 0 2 9 )10

= (10000000101)2

 Number in double precision format is given as

1

ign

1 0 0 0 0 0 1 0 1

Exponent

0 1 0 1

S  

0 0 0 0 0 1 0 0 .... 0

Mantissa (52-bits)  

Computer Organization 2 - 17 Arithmetic Unit  

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Important Solved Examples

Example 5.3.7

Solution : Word bits :  Each block consists of 128 words.

 Word bits are : 7 (27 = 128)

Block bits :  Block in cache =   1128

K = 1024128

  = 8

 Block bits are : 3 (23 = 8)

Address bits :  16 address bits. Since 216 = 64 K

Tag bits :  Address bits – (word bits + block bits)

= 16 – (7 + 3) = 6 bits

Main memory address =

Tag Block Word

6 3 7

Example 5.4.1

Solution :   The Fig. 5.1 shows the address space and memory space split into groups of 

1K words. At any given time, up to four pages of address space may reside in main

memory in any one of the four blocks.

TECHNICAL PUBLICATIONS - An up thrust for knowledgeTM(5 - 1)

4  Memory Organization5   Memory Organization

Block 0

Block 1

Block 2

Block 3

Memory space

M = 4 K = 212

Page 2

Page 1

Page 0

Page 3

Page 4

Page 5

Page 6

Page 7

 Address space

N = 8 K = 213

Fig. 5.1 Address space and memory space

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i) LRU : Least Recently Used

ii) LFU : Least Frequently Used

iii) FIFO : First in First Out

Example 5.4.2

Solution :

Cache trace for LRU policy

Cache trace for FIFO policy

Computer Organization 5 - 2 Memory Organization

TM

Initial 4 2 0

0

1

1

2

2

6

6

1 4   0 1 0 2 3   5   7

4 4 4 4

222

0 01

6

2

41

6

0

41

2 2 2 2

0 0 0 7

4 3331 1   5 5

Initial 4 2 0

0

1

1

2

2

6

6

1 4   0 1 0 2 3   5   7

4 4 4 4

222

0 0

1

6

0

4

1

4

1

2

3

2

5

2

7

6 6

4

5

4

2

3 3

Initial 4 2 0

0

1

1

2

2

6

6

1   4 0 1   0   2   3   5   7

4 4 4 4

222

0 0

1

6

2

4

1

0

4

1

2 2

0 0

3

1

5

2

1

0

2

1

7

Initial   1 6 4

4 4 4 44 4 4

5 1 4 3

3 3 6 63 5 3

2

2 2 2 76 6 6

1 2 1 4 6 7 4

1 1 1 11 1 1

Fig. 5.2 (a)

Initial   1 6 4

4 3 33 74 4 4 3

5 1 4 3

3 1 61 63 3 1 1

2

2 5 44 42 5 5 5

1 2 1 4 6 7 4

1 2 22 26 6 6 6

Fig. 5.2 (b)