1  1998 Morgan Kaufmann Publishers Chapter Four Arithmetic for Computers.

Slides:



Advertisements
Similar presentations
Chapter Three.
Advertisements

1 Chapter Three Last revision: 4/17/ Arithmetic Where we've been: –Performance (seconds, cycles, instructions) –Abstractions: Instruction Set Architecture.
©UCB CPSC 161 Lecture 6 Prof. L.N. Bhuyan
1 CONSTRUCTING AN ARITHMETIC LOGIC UNIT CHAPTER 4: PART II.
Arithmetic CPSC 321 Computer Architecture Andreas Klappenecker.
Arithmetic CPSC 321 Computer Architecture Andreas Klappenecker.
Arithmetic II CPSC 321 E. J. Kim. Today’s Menu Arithmetic-Logic Units Logic Design Revisited Faster Addition Multiplication (if time permits)
1 Representing Numbers Using Bases Numbers in base 10 are called decimal numbers, they are composed of 10 numerals ( ספרות ) = 9* * *10.
1  2004 Morgan Kaufmann Publishers Chapter Three.
Arithmetic II CPSC 321 Andreas Klappenecker. Any Questions?
1 Chapter 4: Arithmetic Where we've been: –Performance (seconds, cycles, instructions) –Abstractions: Instruction Set Architecture Assembly Language and.
Chapter Four Arithmetic and Logic Unit
Arithmetic I CPSC 321 Andreas Klappenecker. Administrative Issues Office hours of TA Praveen Bhojwani: M 1:00pm-3:00pm.
Arithmetic-Logic Units CPSC 321 Computer Architecture Andreas Klappenecker.
1  2004 Morgan Kaufmann Publishers Lectures for 3rd Edition Note: these lectures are often supplemented with other materials and also problems from the.
1 ECE369 Chapter 3. 2 ECE369 Multiplication More complicated than addition –Accomplished via shifting and addition More time and more area.
Chapter 3 Arithmetic for Computers. Arithmetic Where we've been: Abstractions: Instruction Set Architecture Assembly Language and Machine Language What's.
Arithmetic for Computers
1 Bits are just bits (no inherent meaning) — conventions define relationship between bits and numbers Binary numbers (base 2)
CMPE 325 Computer Architecture II Cem Ergün Eastern Mediterranean University Integer Representation and the ALU.
1 CHAPTER 4: PART I ARITHMETIC FOR COMPUTERS. 2 The MIPS ALU We’ll be working with the MIPS instruction set architecture –similar to other architectures.
1 CS/COE0447 Computer Organization & Assembly Language Chapter 3.
1 Modified from  Modified from 1998 Morgan Kaufmann Publishers Chapter Three: Arithmetic for Computers citation and following credit line is included:
1  2004 Morgan Kaufmann Publishers Instructions: bne $t4,$t5,Label Next instruction is at Label if $t4≠$t5 beq $t4,$t5,Label Next instruction is at Label.
EGRE 426 Fall 09 Chapter Three
Computing Systems Basic arithmetic for computers.
Chapter 6-1 ALU, Adder and Subtractor
07/19/2005 Arithmetic / Logic Unit – ALU Design Presentation F CSE : Introduction to Computer Architecture Slides by Gojko Babić.
1 EGRE 426 Fall 08 Chapter Three. 2 Arithmetic What's up ahead: –Implementing the Architecture 32 operation result a b ALU.
1  1998 Morgan Kaufmann Publishers Arithmetic Where we've been: –Performance (seconds, cycles, instructions) –Abstractions: Instruction Set Architecture.
Csci 136 Computer Architecture II – Constructing An Arithmetic Logic Unit Xiuzhen Cheng
Computing Systems Designing a basic ALU.
1 Lecture 6 BOOLEAN ALGEBRA and GATES Building a 32 bit processor PH 3: B.1-B.5.
CDA 3101 Fall 2013 Introduction to Computer Organization The Arithmetic Logic Unit (ALU) and MIPS ALU Support 20 September 2013.
1 Modified from  Modified from 1998 Morgan Kaufmann Publishers Chapter Three: Arithmetic for Computers Section 2 citation and following credit line is.
CPE 232 MIPS Arithmetic1 CPE 232 Computer Organization MIPS Arithmetic – Part I Dr. Gheith Abandah [Adapted from the slides of Professor Mary Irwin (
1  2004 Morgan Kaufmann Publishers Performance is specific to a particular program/s –Total execution time is a consistent summary of performance For.
1 ELEN 033 Lecture 4 Chapter 4 of Text (COD2E) Chapters 3 and 4 of Goodman and Miller book.
Orange Coast College Business Division Computer Science Department CS 116- Computer Architecture Arithmetic: Part II.
1  2004 Morgan Kaufmann Publishers Lets Build a Processor Almost ready to move into chapter 5 and start building a processor First, let’s review Boolean.
Computer Architecture Lecture Notes Spring 2005 Dr. Michael P. Frank Competency Area 4: Computer Arithmetic.
Addition, Subtraction, Logic Operations and ALU Design
CML CML CS 230: Computer Organization and Assembly Language Aviral Shrivastava Department of Computer Science and Engineering School of Computing and Informatics.
순천향대학교 정보기술공학부 이 상 정 1 3. Arithmetic for Computers.
Prof. Hsien-Hsin Sean Lee
Lec 11Systems Architecture1 Systems Architecture Lecture 11: Arithmetic for Computers Jeremy R. Johnson Anatole D. Ruslanov William M. Mongan Some or all.
Arithmetic-Logic Units. Logic Gates AND gate OR gate NOT gate.
1 Arithmetic Where we've been: –Abstractions: Instruction Set Architecture Assembly Language and Machine Language What's up ahead: –Implementing the Architecture.
Computer Arthmetic Chapter Four P&H. Data Representation Why do we not encode numbers as strings of ASCII digits inside computers? What is overflow when.
Csci136 Computer Architecture II Lab#5 Arithmetic Review ALU Design Ripple Carry Adder & Carry lookahead HW #4: Due on Feb 22, before class Feb.16, 2005.
9/23/2004Comp 120 Fall September Chapter 4 – Arithmetic and its implementation Assignments 5,6 and 7 posted to the class web page.
EE204 L03-ALUHina Anwar Khan EE204 Computer Architecture Lecture 03- ALU.
May 2, 2001System Architecture I1 Systems Architecture I (CS ) Lecture 11: Arithmetic for Computers * Jeremy R. Johnson May 2, 2001 *This lecture.
By Wannarat Computer System Design Lecture 3 Wannarat Suntiamorntut.
1 CPTR 220 Computer Organization Computer Architecture Assembly Programming.
Based on slides from D. Patterson and www-inst.eecs.berkeley.edu/~cs152/ COM 249 – Computer Organization and Assembly Language Chapter 3 Arithmetic For.
1 Chapter 3 Arithmetic for Computers Lecture Slides are from Prof. Jose Delgado-Frias, Mr. Paul Wettin, and Prof. Valeriu Beiu (Washington State University.
1 (Based on text: David A. Patterson & John L. Hennessy, Computer Organization and Design: The Hardware/Software Interface, 3 rd Ed., Morgan Kaufmann,
Computer System Design Lecture 3
Computer Arthmetic Chapter Four P&H.
Arithmetic Where we've been:
Arithmetic Logical Unit
CS/COE0447 Computer Organization & Assembly Language
CS/COE0447 Computer Organization & Assembly Language
COMS 361 Computer Organization
A 1-Bit Arithmetic Logic Unit
October 8 Rules for Programming Assignments ASK QUESTIONS!
Fixed Point Arithmetic Operations
COMS 361 Computer Organization
Presentation transcript:

1  1998 Morgan Kaufmann Publishers Chapter Four Arithmetic for Computers

2  1998 Morgan Kaufmann Publishers Arithmetic Where we've been: –Performance (seconds, cycles, instructions) –Abstractions: Instruction Set Architecture Assembly Language and Machine Language What's up ahead: –Implementing the Architecture 32 operation result a b ALU

3  1998 Morgan Kaufmann Publishers Some Questions How are negative numbers represented? What are the largest number that can be represented in a computer world? What happens if an operation creates a number bigger than can be represented? What about fractions and real numbers? Ultimately, how does hardware really add, subtract, multiply or divide number?

4  1998 Morgan Kaufmann Publishers Bits are just bits (no inherent meaning) — conventions define relationship between bits and numbers Binary numbers (base 2) decimal: n -1 Of course it gets more complicated: numbers are finite (overflow) fractions and real numbers negative numbers e.g., no MIPS subi instruction; addi can add a negative number) How do we represent negative numbers? i.e., which bit patterns will represent which numbers? Numbers

5  1998 Morgan Kaufmann Publishers Sign Magnitude: One's Complement Two's Complement 000 = = = = = = = = = = = = = = = = = = = = = = = = -1 Issues: balance, number of zeros, ease of operations Which one is best? Why? ASCII vs binary numbers (p212 example) Possible Representations

6  1998 Morgan Kaufmann Publishers 32 bit signed numbers: two = 0 ten two = + 1 ten two = + 2 ten two = + 2,147,483,646 ten two = + 2,147,483,647 ten two = – 2,147,483,648 ten two = – 2,147,483,647 ten two = – 2,147,483,646 ten two = – 3 ten two = – 2 ten two = – 1 ten Binary to decimal conversion: two maxint minint MIPS

7  1998 Morgan Kaufmann Publishers Signed versus unsigned numbers It matters when doing comparison MIPS offers two versions of the set on less than comparison –slt, slti work with signed integers –sltu, sltiu work with unsigned integers

8  1998 Morgan Kaufmann Publishers Negating a two's complement number: invert all bits and add 1 –remember: “negate” and “invert” are quite different! –See example on page 216. (2, -2) Converting n bit numbers into numbers with more than n bits: –MIPS 16 bit immediate gets converted to 32 bits for arithmetic –copy the most significant bit (the sign bit) into the other bits > > –"sign extension" (lbu vs. lb) Binary-to-Hexadecimal conversion Two's Complement Operations

9  1998 Morgan Kaufmann Publishers Just like in grade school (carry/borrow 1s) Two's complement operations easy –subtraction using addition of negative numbers Overflow (result too large for finite computer word): –e.g., adding two n-bit numbers does not yield an n-bit number Addition & Subtraction

10  1998 Morgan Kaufmann Publishers No overflow when adding a positive and a negative number No overflow when signs are the same for subtraction Overflow occurs when the value affects the sign: –overflow when adding two positives yields a negative –or, adding two negatives gives a positive –or, subtract a negative from a positive and get a negative –or, subtract a positive from a negative and get a positive Consider the operations A + B, and A – B –Can overflow occur if B is 0 ? –Can overflow occur if A is 0 ? Detecting Overflow

11  1998 Morgan Kaufmann Publishers An exception (interrupt) occurs –Control jumps to predefined address for exception –Interrupted address is saved for possible resumption Details based on software system / language –example: flight control vs. homework assignment Don't always want to detect overflow — new MIPS instructions: addu, addiu, subu note: addiu still sign-extends! note: sltu, sltiu for unsigned comparisons Effects of Overflow

12  1998 Morgan Kaufmann Publishers Logical Operations Shifts: move all the bits in a word to the left or right, filling the emptied bits with 0s. sll: shift left logical; srl :shift right logical Example: sll $t2, $s0, 8 shamt: shift amount and, andi or, ori

13  1998 Morgan Kaufmann Publishers Problem: Consider a logic function with three inputs: A, B, and C. Output D is true if at least one input is true Output E is true if exactly two inputs are true Output F is true only if all three inputs are true Show the truth table for these three functions. Show the Boolean equations for these three functions. Show an implementation consisting of inverters, AND, and OR gates. Review: Boolean Algebra & Gates (Appendix B)

14  1998 Morgan Kaufmann Publishers Let's build an ALU to support the andi and ori instructions –we'll just build a 1 bit ALU, and use 32 of them Possible Implementation (sum-of-products): b a operation result opabres An ALU (arithmetic logic unit)

15  1998 Morgan Kaufmann Publishers Selects one of the inputs to be the output, based on a control input S C A B 0 1 Review: The Multiplexor note: we call this a 2-input mux even though it has 3 inputs! C A B S

16  1998 Morgan Kaufmann Publishers Not easy to decide the “best” way to build something –Don't want too many inputs to a single gate –Don’t want to have to go through too many gates –for our purposes, ease of comprehension is important Let's look at a 1-bit ALU for addition: How could we build a 1-bit ALU for add, and, and or? How could we build a 32-bit ALU? Different Implementations c out = a b + a c in + b c in sum = a xor b xor c in

17  1998 Morgan Kaufmann Publishers Adder Hardware for the CarryOut Signal c out = a b + a c in + b c in

18  1998 Morgan Kaufmann Publishers How about the Sum bit? Leave as an exercise (page 329, 4.43)

19  1998 Morgan Kaufmann Publishers Building a 32 bit ALU

20  1998 Morgan Kaufmann Publishers Two's complement approach: just negate b and add. How do we negate? A very clever solution: What about subtraction (a – b) ?

21  1998 Morgan Kaufmann Publishers Need to support the set-on-less-than instruction (slt) –remember: slt is an arithmetic instruction –produces a 1 if rs < rt and 0 otherwise –use subtraction: (a-b) < 0 implies a < b Need to support test for equality (beq $t5, $t6, $t7) –use subtraction: (a-b) = 0 implies a = b Tailoring the ALU to the MIPS

Supporting slt Can we figure out the idea? (TOP) A 1-bit ALU that performs AND, OR, and addition on a and b or !b (BOTTOM) A 1-bit ALU for the most significant bit.

23  1998 Morgan Kaufmann Publishers 32 Bit ALU

24  1998 Morgan Kaufmann Publishers Test for equality Notice control lines: 000 = and 001 = or 010 = add 110 = subtract 111 = slt Note: zero is a 1 when the result is zero!

25  1998 Morgan Kaufmann Publishers Conclusion We can build an ALU to support the MIPS instruction set –key idea: use multiplexor to select the output we want –we can efficiently perform subtraction using two’s complement –we can replicate a 1-bit ALU to produce a 32-bit ALU Important points about hardware –all of the gates are always working –the speed of a gate is affected by the number of inputs to the gate –the speed of a circuit is affected by the number of gates in series (on the “critical path” or the “deepest level of logic”) Our primary focus: comprehension, however, –Clever changes to organization can improve performance (similar to using better algorithms in software) –we’ll look at two examples for addition and multiplication

26  1998 Morgan Kaufmann Publishers Is a 32-bit ALU as fast as a 1-bit ALU? Is there more than one way to do addition? –two extremes: ripple carry and sum-of-products Can you see the ripple? How could you get rid of it? c 1 = b 0 c 0 + a 0 c 0 + a 0 b 0 c 2 = b 1 c 1 + a 1 c 1 + a 1 b 1 c 2 = c 3 = b 2 c 2 + a 2 c 2 + a 2 b 2 c 3 = c 4 = b 3 c 3 + a 3 c 3 + a 3 b 3 c 4 = Not feasible! Why? Problem: ripple carry adder is slow

27  1998 Morgan Kaufmann Publishers An approach in-between our two extremes Motivation: – If we didn't know the value of carry-in, what could we do? –When would we always generate a carry? g i = a i b i –When would we propagate the carry? p i = a i + b i Did we get rid of the ripple? c 1 = g 0 + p 0 c 0 c 2 = g 1 + p 1 c 1 c 2 = c 3 = g 2 + p 2 c 2 c 3 = c 4 = g 3 + p 3 c 3 c 4 = Feasible! Why? Carry-lookahead adder

28  1998 Morgan Kaufmann Publishers Can’t build a 16 bit adder this way... (too big) Could use ripple carry of 4-bit CLA adders Better: use the CLA principle again! Use principle to build bigger adders

29  1998 Morgan Kaufmann Publishers Example Determine gi,pi,Pi and Gi for these two 16-bit numbers: a: b: Also, what is CarryOut15(or C4)?

30  1998 Morgan Kaufmann Publishers Speed of Ripple Carry vs. Carry Lookahead Take 16-bit adder as an example Ripple carry: the carry out signal takes two gate delays (Fig 4.13) 16x2 =32 Carry Lookahead C4 is the carry out bit of the msb, which takes two levels of logic to specify in terms of Pi and Gi Pi is specified in one level of logic using pi, Gi is specified in two levels of login using pi,gi, pi, gi are each one level of logic = 5 gate delays The Carry Lookahead method is 6.4 times faster than the ripple carry approach.