1. CSE 241 Computer Organization Lecture # 9 Ch. 4 Computer Arithmetic Dr. Tamer Samy Gaafar Dept. of Computer & Systems Engineering

2. Outline Integer Representation —Sign-Magnitude, Two’s Complement Integer Arithmetic —Negation, Addition, Subtraction —Multiplication, Division Floating-Point Representation Floating-Point Arithmetic

3. Arithmetic & Logic Unit (ALU) Does the calculations. Everything else in the computer is there to service this unit. Handles integers. Handles real (floating point) numbers.

4. ALU Inputs and Outputs Data Results e.g., overflow flag Operation & data in/out Registers Control unit Flags

5. Integer Representation General-case number: –548.923 Only have 0 & 1 to represent everything. — No minus sign. — No period (radix point). Positive integer numbers are stored in binary. — An 8-bit word can represent the numbers: — e.g., 41=00101001 Signed integer numbers — Sign-Magnitude — Two’s complement 0 - 255

6. Sign-Magnitude vs. 2’s Complement Decimal Representation Sign-Magnitude Representation 2’s Complement Representation +8 +7 +6 +5 +4 +3 +2 +1 +0 -0 -2 -3 -4 -5 -6 -7 -8 -- 0111 0110 0101 0100 0011 0010 0001 0000 1001 1010 1011 1100 1101 1110 1111 -- 1000 -- 0111 0110 0101 0100 0011 0010 0001 0000 1111 1010 1101 1100 1011 1110 1001 1000 -- (-A) 10  2 4 – A(-A) 10  2 4-1 + A

7. Sign-Magnitude Representation Left most bit is sign bit. —0 means positive. —1 means negative. Example:  +18 = 00010010  –18 = 10010010 Problems — Need to consider both sign and magnitude in arithmetic. — Two representations of zero (+0 and –0)  more difficult to test for 0.  one wasted bit combination!

8. Two’s Complement Representation Like sign-magnitude representation, leftmost bit is used as a sign bit. Differs from sign-magnitude representation in how the remaining bits are interpreted. Positive number: convert to binary Negative number: 2’s complement e.g., 8-bit 2’s complement representation +3 = 00000011 +2 = 00000010 +1 = 00000001 +0 = 00000000 –1 = 11111111 –2 = 11111110 –3 = 11111101

9. n-bit Two’s Complement Representation Length of number (in bits) is first specified. Assume n-bit numbers. We have 2 n different combinations of size n bits  we can represent 2 n different numbers. Assign the value 0 to the combination 00…0. We have 2 n –1 different combinations left. Assign the values 1, 2, …, 2 n–1 –1 to 1, 2,.., 2 n–1 –1. Assign the values –2 n–1, –2 n–1 +1, …, –1 to 2 n–1, 2 n–1 +1, …, 2 n –1 Getting the 2’s comp. of A is equivalent to 2 n – A –2 n – 1 ≤ A ≤ 2 n – 1 – 1

10. Characteristics of 2’s Comp. Rep. & Arithmetic 1’s complement Consider n-bit 2’s complement representation Equivalent to: 2 n – A

11. Benefits One representation of zero. Arithmetic works easily (see later). Negating is fairly easy — 3 = 00000011 — Boolean (one’s) complement gives 11111100 — Add 1 to LSB 11111101 — This is equivalent to 2 8 – 3 = 253 = 11111101 2’s complement of 3

12. Conversion between 2’s Comp. & Decimal Value Box 0 +8 Result obtained using value box is correct because:  Sign bit is 1  Number = -(2’s comp. of 10000011) = -(2 8 - 10000011) = -125

13. Conversion Between Lengths Positive numbers  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)  Sign extension

14. Addition and Subtraction Addition  Normal binary addition.  Monitor sign bit for overflow. Subtraction  Take two’s complement of subtrahend and add to minuend  A – B = A + (–B) So we only need addition and complement circuits.

15. Addition of Numbers in 2’s Comp. Rep. 4-bit 2’s comp. rep. 4-bit 2’s comp. representation

16. Binary Addition/Subtraction Logic Circuit. Addition  Add/sub control = 0. Subtraction  Add/sub control = 1

17. At the stage i: Input: x i is i th bit of x y i is i th bit of y c i is carry-in from stage i-1 Output: s i is the sum c i+1 carry-out to stage i+1 1-Bit Addition (Full Adder)

18. Full Adder (FA): Symbol for the complete circuit for a single stage of addition. Addition Logic for a Single Stage SumCarry

19. An n-bit Ripple-Carry Adder Cascade n full adder (FA) blocks to form a n-bit adder. Carries propagate or ripple through this cascade  n-bit ripple carry adder. Carry-in c 0 into the LSB position provides a convenient way to perform subtraction.

20. Cascade of k n-bit Adders k n-bit numbers can be added by cascading k n-bit adders. Each n-bit adder forms a block, so this is cascading of blocks. Carries ripple or propagate through blocks  Blocked Ripple Carry Adder.