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Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

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Computer Science at a Crossroads Old Conventional Wisdom : Uniprocessor performance 2X / 1.5 yrs New Conventional Wisdom : Power Wall + ILP Wall + Memory Wall = Brick Wall Uniprocessor performance now 2X / 5(?) yrs

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Page 1: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Exam1 Review

Dr. Bernard Chen Ph.D.University of Central Arkansas

Page 2: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Computer Science at a Crossroads

“Power wall” Triple hurdles of maximum power dissipation

of air-cooled chips

“ILP wall” Little instruction-level parallelism left to exploit

efficiently

“Memory wall” Almost unchanged memory latency

Page 3: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Computer Science at a Crossroads Old Conventional Wisdom :

Uniprocessor performance 2X / 1.5 yrs

New Conventional Wisdom : Power Wall + ILP Wall + Memory Wall = Brick Wall

Uniprocessor performance now 2X / 5(?) yrs

Page 4: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Computer Science at a Crossroads

1

10

100

1000

10000

1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006

Per

form

ance

(vs

. VAX

-11/

780)

25%/year

52%/year

??%/year

Page 5: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Defining Computer Architecture The task of computer designer:

Determine what attributes are important for a new computer, then design a computer to maximize performance while staying within cost, power, and availability constrains

Page 6: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Defining Computer Architecture In the past, the term computer architecture

often referred only to instruction set design Other aspects of computer design were called

implementation, often assuming that implementation is uninteresting or less challenging

Of course, it is wrong for today’s trend Architect’s job much more than instruction set

design; technical hurdles today more challenging than those in instruction set design

Page 7: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Instruction Set Architecture (ISA) The instruction set architecture

serves as the boundary between the software and hardware.

We will have a complete introduction to this part. (Some examples in the next two slides)

Page 8: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Outline Decoder Encoder MUX

Page 9: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

2-to-4 Decoder

Page 10: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Decoder Expansion

Page 11: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

How about 4-16 decoder Use how many 3-8 decoder? Use how many 2-4 decoder?

Page 12: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Encoders

Perform the inverse operation of a decoder 2n (or less) input lines and n

output lines

Page 13: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Encoders

Page 14: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Accepts multiple values and encodes them Works when more than one input is active

Consists of: Inputs (2n) Outputs

when more than one output is active, sets output to correspond to highest input

V (indicates whether any of the inputs are active)

Selectors / Enable (active high or active low)

Priority Encoder

Page 15: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

4 to 1 line multiplexer

S1 S0 F0 0 I00 1 I11 0 I21 1 I3

4 to 1 line multiplexer2n MUX to 1n for this MUX is 2This means 2 selection lines s0 and s1

Page 16: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Outline Data Representation Compliments

Page 17: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Conversion Between Number Bases

Decimal(base 10)

Octal(base 8)

Binary(base 2)

Hexadecimal(base16)° We normally convert to base 10

because we are naturally used to the decimal number system.

° We can also convert to other number systems

Page 18: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Example Convert 101011110110011 to a.       octal numberb.      hexadecimal number a.       Each 3 bits are converted to octal :

(101) (011) (110) (110) (011)

5 3 6 6 3 101011110110011 = (53663)8

b.      Each 4 bits are converted to hexadecimal:(0101) (0111) (1011) (0011)

5 7 B 3

101011110110011 = (57B3)16

Conversion from binary to hexadecimal is similar except that the bits divided into groups of four.

Page 19: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Subtraction using addition

• Conventional addition (using carry) is easily • implemented in digital computers. • However; subtraction by borrowing is difficult

and inefficient for digital computers. • Much more efficient to implement subtraction

using ADDITION OF the COMPLEMENTS of numbers.

Page 20: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Complements of numbers

(r-1 )’s Complement

•Given a number N in base r having n digits, •the (r- 1)’s complement of N is defined as

(rn - 1) - N

•For decimal numbers the base or r = 10 and r- 1= 9,

•so the 9’s complement of N is (10n-1)-N

•99999……. - N

Digit n

Digit n-1

Next digit

Next digit

First digit

9 9 9 9 9

-

Page 21: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

l’s complement For binary numbers, r = 2 and r —

1 = 1, r-1’s complement is the l’s

complement. The l’s complement of N is (2^n-

1) - N.

Digit n

Digit n-1

Next digit

Next digit

First digit

1 1 1 1 1

Bit n-1 Bit n-2 ……. Bit 1 Bit 0

-

Page 22: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

r’s Complement•Given a number N in base r having n digits, •the r’s complement of N is defined as

rn - N.

•For decimal numbers the base or r = 10,

•so the 10’s complement of N is 10n-N.

•100000……. - N

Digit n

Digit n-1

Next digit

Next digit

First digit

0 0 0 0 0

-1

Page 23: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

10’s complement Examples

Find the 10’s complement of 546700 and 12389

The 10’s complement of 546700 is 1000000 - 546700= 453300

and the 10’s complement of 12389 is

100000 - 12389 = 87611.

Notice that it is the same as 9’s complement + 1.

5 4 6 7 0- 0

0 0 0 0 0 0

4 5 3 3 0 0

1 2 3 8- 9

1 0 0 0 0 0

8 7 6 1 1

1

Page 24: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

For binary numbers, r = 2,

r’s complement is the 2’s complement.

The 2’s complement of N is 2n - N.

2’s complement

Digit n

Digit n-1

Next digit

Next digit

First digit

0 0 0 0 0

-1

Page 25: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Subtraction of Unsigned Numbers using r’s complement (1) if M N, ignore the carry

without taking complement of sum.

(2) if M < N, take the r’s complement of sum and place negative sign in front of sum. The answer is negative.

Page 26: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Subtract by Summation Subtraction with complement is done

with binary numbers in a similar way.

Using two binary numbers X=1010100 and Y=1000011

We perform X-Y and Y-X

Page 27: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

X-Y X= 1010100 2’s com. of Y= 0111101 Sum= 10010001 Answer= 0010001

Page 28: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Y-X Y= 1000011 2’s com. of X= 0101100 Sum= 1101111

There’s no end carry: answer is negative --- 0010001 (2’s complement of 1101111)

Page 29: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

How To Represent Signed Numbers Plus and minus signs used for decimal

numbers: 25 (or +25), -16, etc.

For computers, it is desirable to represent everything as bits..

Three types of signed binary number representations:

1. signed magnitude, 2. 1’s complement, and 3. 2’s complement

Page 30: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

1. signed magnitude• In each case: left-most bit

indicates sign: positive (0) or negative (1).

Consider 1. signed magnitude:

000011002 = 1210

Sign bit Magnitude

100011002 = -1210

Sign bit Magnitude

Page 31: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

2. One’s Complement Representation The one’s complement of a

binary number involves inverting all bits.

• To find negative of 1’s complement To find negative of 1’s complement number take the 1’s complement of number take the 1’s complement of whole number including the sign bit.whole number including the sign bit.

000011002 = 1210

Sign bit Magnitude

111100112 = -1210

Sign bit 1’complement

Page 32: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

3. Two’s Complement Representation• The two’s complement of a binary

number involves inverting all bits and adding 1.

To find the negative of a signed number take the 2’s the 2’s complement of the positive number including the sign bit.

000011002 = 1210

Sign bit Magnitude

111101002 = -1210

Sign bit 2’s complement

Page 33: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

The rule for addition is add the two numbers, including their sign bits, and discard any carry out of the sign (leftmost) bit position. Numerical examples for addition are shown below.Example:

+ 6 00000110 - 6 11111010+13 00001101 +13 00001101+19 00010011 +7 00000111

+6 00000110 -6 11111010-13 11110011 -13 11110011-7 11111001 -19 11101101

In each of the four cases, the operation performed is always addition, including the sign bits.Only one rule for addition, no separate treatment of subtraction. Negative numbers are always represented in 2’s complement.

Sign addition in 2’s complement

Page 34: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Overflow Overflow example:

+70 0 1000110 -70 1 0111010 +80 0 1010000 -80 1 0110000 = +150 1 0010110 =-150 0 1101010

An overflow may occur if the two numbers added are both either positive or negative.

Page 35: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

BINARY ADDER-SUBTRACTOR

Page 36: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Example Extend the previous logic circuit to accommodate XNOR,

NAND, NOR, and the complement of the second input.

S2

S1

S0

Output Operation

0 0 0 X Y AND0 0 1 X Y OR0 1 0 X Y XOR0 1 1 A Complement

A1 0 0 (X Y) NAND1 0 1 (X Y) NOR1 1 0 (X Y) XNOR1 1 1 B Complement

B

Page 37: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Shift MicrooperationsSymbolic designation Description

R ← shl R Shift-left register R R ← shr R Shift-right register R R ← cil R Circular shift-left register R R ← cir R Circular shift-right register R R ← ashl R Arithmetic shift-left R R ← ashr R Arithmetic shift-right R

TABLE 4-7. Shift Microoperations

Page 38: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Logical Shift Example

1. Logical shift: Transfers 0 through the serial input.R1 shl R1 Logical shift-leftR2 shr R2 Logical shift-right

(Example) Logical shift-left10100011 01000110

(Example) Logical shift-right10100011 01010001

Page 39: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Circular Shift Example

2211

RcirRRcilR

Circular shift-left

Circular shift-right

(Example) Circular shift-left

10100011 is shifted to 01000111

(Example) Circular shift-right

10100011 is shifted to 11010001

Page 40: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Arithmetic Shift Right Arithmetic Shift Right :

Example 10100 (4) 0010 (2)

Example 2 1010 (-6) 1101 (-3)

Page 41: Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas

Arithmetic Shift Left Arithmetic Shift Left :

Example 10010 (2) 0100 (4)

Example 2 1110 (-2) 1100 (-4)

Arithmetic Shift Left : Example 3

0100 (4) 1000 (overflow)

Example 4 1010 (-6) 0100 (overflow)