1 / 16

Computer Organization

Computer Organization. Integers and Arithmetic Operations Terrence Mak. Counting to 9, oh no, 1 please. Binary numbers (0, 1) are commonly used in computers as they are easily represented as on/off electrical signals Other related radix systems are Octal & Hexadecimal

Télécharger la présentation

Computer Organization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Computer Organization Integers and Arithmetic Operations Terrence Mak

  2. Counting to 9, oh no, 1 please • Binary numbers (0, 1) are commonly used in computers as they are easily represented as on/off electrical signals • Other related radix systems are Octal & Hexadecimal • Different number (representation) systems are used in computers • Let's assume n bits (binary digits) are used in the following discussions

  3. Only 0 and 1 in a Sequence • Numbers are represented as binary vectors B = bn-1bn-2 … b1 b0 • MSB = Most Significant Bit = bn-1i.e. leftmost digit in a binary vector • LSB = Least Significant Bit = b0 i.e. rightmost digit in a binary vector

  4. Representing Non-negative Numbers • Unsigned (non-negative) numbers are in range 0 to 2n– 1 • Represented by Value(B) = bn-12n-1 + … + b121 + b020 if B is a binary vector representing an unsigned integer

  5. Representing Signed Numbers • In written decimal system, a signed number is "usually" represented by a "dash" or "plus" sign and followed by the magnitude e.g. –73, –215, +349 • In binary system, we have several choices: • Sign-and-magnitude • 1’s complement • 2’s complement

  6. Representing Signed Numbers • Sign-and-magnitude • MSB determines sign, remaining unsigned bits represent magnitude • MSB: 0 means "+", 1 means "–" • 1’s complement • MSB determines sign • To change sign from unsigned to negative, invert all the bits • 2’s complement (commonly used) • MSB determines sign • To change sign from unsigned to negative, invert all the bits and then add 1 • This is equivalent to subtracting the positive number from 2n

  7. B (n = 4) V alues represented Sign and b b b b 1' s complement 2' s complement magnitude 3 2 1 0 + 7 + 7 + 7 0 1 1 1 + 6 + 6 + 6 0 1 1 0 + 5 + 5 + 5 0 1 0 1 + 4 + 4 + 4 0 1 0 0 + 3 + 3 + 3 0 0 1 1 + 2 + 2 + 2 0 0 1 0 + 1 + 1 + 1 0 0 0 1 + 0 + 0 + 0 0 0 0 0 - 0 - 7 - 8 1 0 0 0 - 1 - 6 - 7 1 0 0 1 - 2 - 5 - 6 1 0 1 0 - 3 - 4 - 5 1 0 1 1 - 4 - 3 - 4 1 1 0 0 - 5 - 2 - 3 1 1 0 1 - 6 - 1 - 2 1 1 1 0 - 7 - 0 - 1 1 1 1 1 Signed Number Systems

  8. 0 1 N - 1 N - 2 2 (a) Circle representation of integers modN 0000 1111 0001 1110 0010 0 - 1 + 1 - 2 + 2 1101 0011 - 3 + 3 - 4 + 4 1100 0100 - 5 + 5 1011 0101 - 6 + 6 - 7 + 7 - 8 1010 0110 1001 0111 1000 (b) Mod 16 system for 2's-complement numbers 2’s Complement • 2's complement numbers actually make sense since they follow normal modulo arithmetic except when they overflow • Range is –2(n–1) to +2(n–1) – 1 e.g. –8 to +7 for n = 4 Overflow cut-off for n = 4, N = 2n = 24 = 16

  9. 0 1 0 1 + 0 + 0 + 1 + 1 0 1 1 1 0 Carry-out 1-bit Addition

  10. n-bit Addition/ Subtraction • X + Y • Use 1-bit addition propagating carry to the most significant bit • X – Y  X + (– Y) • Add X to the 2’s complement of Y

  11. ( + 4 ) (a) 0 0 1 0 ( + 2 ) (b) 0 1 0 0 ( ) + 0 0 1 1 + 3 + 1 0 1 0 ( - 6 ) ( - 2 ) 0 1 0 1 ( + 5 ) 1 1 1 0 ( ) + 7 (c) 1 0 1 1 ( - 5 ) (d) 0 1 1 1 + 1 1 1 0 ( - 2 ) + 1 1 0 1 ( - 3 ) 1 0 0 1 ( - 7 ) 0 1 0 0 ( + 4 ) (e) 1 1 0 1 1 1 0 1 ( - 3 ) 1 0 0 1 + 0 1 1 1 - ( - 7 ) 0 1 0 0 ( + 4 ) (f) 0 0 1 0 ( + 2 ) 0 0 1 0 ( ) - 0 1 0 0 + 4 + 1 1 0 0 1 1 1 0 ( - 2 ) 4-bit Addition/ Subtractionof numbers represented in 2’s Complement

  12. (g) 0 1 1 0 0 1 1 0 ( + 6 ) ( + 3 ) - 0 0 1 1 + 1 1 0 1 0 0 1 1 ( + 3 ) 1 0 0 1 (h) 1 0 0 1 ( - 7 ) 0 1 0 1 1 0 1 1 ( - 5 ) - + 1 1 1 0 ( - 2 ) (i) 1 0 0 1 ( - 7 ) 1 0 0 1 - 0 0 0 1 ( + 1 ) + 1 1 1 1 1 0 0 0 ( - 8 ) (j) 0 0 1 0 0 0 1 0 ( + 2 ) ) - 1 1 0 1 + 0 0 1 1 ( - 3 ( ) 0 1 0 1 + 5 4-bit Addition/ Subtractionof numbers represented in 2’s Complement

  13. Sign Extension • Given a 4-bit 2’s complement number • Make it into an 8-bit 2's complement number • Positive number • add 0’s to LHS • e.g. 0111 00000111 • Negative number • add 1’s to LHS • e.g. 1010  11111010 • c.f. circle representation, i.e. extend the MSB

  14. Overflow • In 2’s complement arithmetic • Addition of opposite sign numbers never overflow • If the numbers are the same sign and the result is the opposite sign, overflow has occurred • e.g. 0111 + 0100 = 1011 = –5! • positive + positive = negative?! • In unsigned arithmetic • Carry out signals an overflow

  15. Exercise • Using 4-bit 2’s complement number system, • What is the binary for -2? • Calculate 2+3 • Calculate -2-3 • Calculate 5+5 • Using 5-bit number system • What is the largest 2’s complement number? • What is the smallest 2’s complement number? • What is the largest unsigned number? • Convert 56 to unsigned binary • What is the decimal value of 10110101 in 2’s complement? • What is the decimal value of unsigned number 10110101?

  16. Characters - 8-bit ASCII representation

More Related