CSCI 402: Computer Architectures. Arithmetic for Computers (4) Fengguang Song Department of Computer & Information Science IUPUI.


 Esmond Jones
 1 years ago
 Views:
Transcription
1 CSCI 402: Computer Architectures Arithmetic for Computers (4) Fengguang Song Department of Computer & Information Science IUPUI Homework 4 Assigned on Feb 22, Thursday Due Time: 11:59pm, March 5 on Monday night You have 1.5 weeks (not 2 weeks!) TA will post the solution on March 6 or 7 Your Midterm Exam is on March 8 so you can prepare for it , 3.18 (assuming both inputs are twodigit octal numbers consisting of 6 binary bits) 3.20, 3.22, 3.23, 3.24, , 3.42,
2 IEEE FloatingPoint Format single: 8 bits double: 11 bits S Exponent single: 23 bits double: 52 bits Fraction x = ( 1) S (1+Fraction) 2 [0, 255] (stored Exponent Bias) S: sign bit (0 Þ nonnegative, 1 Þ negative) Normalized significand: 1.0 significand < 2.0 Always has a leading (prebinarypoint) 1, so no need to represent it explicitly ( hidden bit ) Significand = Fraction with the 1. restored Stored exponent = actual exponent + Bias Actual exponent = stored exponent  Bias Stored exponent is unsigned: e.g., 0 to 255, or 0 to 2047 Single: Bias = 127; Double: Bias = FloatingPoint Example (1/2) Q: How to represent (= ) 0.75 = ( ) //normalized number S = 1 Fraction = Stored exponent = 1 + Bias Single: = 126 = Double: = 1022 = Single: Double:
3 FloatingPoint Example (2/2) Q: What decimal value is represented by the following singleprecision floatingpoint number? S = 1 Stored exponent = = 129 Fraction = x = ( 1) 1 ( ) 2 ( ) = ( 1) = FloatingPoint Addition (base 10) First, consider a decimal example (suppose 4 digits of significand and 2 digits of exponent) Align decimal points (equal exponent) 4 Steps Shift the number with smaller exponent Now, exponents are equal 2. Add significands = Normalize result & check for over/underflow Round and renormalize the output if necessary
4 FloatingPoint Addition (binary) Similarly, consider a 4digit binary example (i.e., ) Step 1. Align binary points (s.t. equal exponent) Shift the number with smaller exponent Step 2. Add significands = Step 3. Normalize result & check for over/underflow , //4 is between 127 and 128. Step 4. Round and renormalize if necessary (no change) = FP Adder Hardware Step 1 Larger exp Smaller frac Larger frac Step 2 New faction Step 3 Step
5 FP Adder Hardware It is more complex than integer adder Doing it in one cycle would make the clock cycle too long! Note that a slower clock would penalize all instructions So, FP Adder takes several cycles Can be pipelined 12 Next: Floating Point Multiplication Given two Operands (2 normalized inputs) as follows: (1) S1 m1 2 E1 // m1 is the significand: 1.xxxxx (1) S2 m2 2 E2 Exact Result? Suppose it is: (1) S m 2 E Sign s: s = 1 if s1 ¹ s2; s = 0 otherwise Significand m: m1 * m2 //just multiply two significands Exponent E: E1 + E2 Fixing result: Round output m to fit the significand precision Overflow if E out of range Implementation: The most complex part is multiplying 2 significands 13 5
6 FloatingPoint Multiplication Again, first consider a decimal example (suppose 4 digits of significand and 2 digits of exponent) Add exponents New exponent = = 5 2. Multiply the two significands = Þ Normalize result & check for over/underflow Round and renormalize if necessary Determine sign of result from signs of operands FloatingPoint Multiplication Now, let s consider a 4digit binary example ( ) 1. Add exponents Unbiased: = 3 2. Multiply significands = Þ Normalize result & check for over/underflow // no over/underflow 4. Round and renormalize if necessary // (no change) 5. Determine sign: +ve ve Þ ve =
7 1.000 x FP MIPS Instructions Floating point hardware is an adjunct processor that extends the existing MIPS ISA Called coprocessor 1 (c1) There are 32 separate FP registers 32 singleprecision: $f0, $f1, $f31 Can be paired for storing doubleprecision: $f0/$f1, $f2/$f3, i.e., 16 doubleprecision registers FP Instructions can operate only on FP registers Also, special load and store instructions lwc1, swc1 ldc1, sdc1 e.g., lwc1 $f8, 32($sp) 17 7
8 CPU (central processing unit) FPU (floating point unit) "coprocessor 1" mfc1 register $0,..,$31 integer arithmetic division multiplication logical ops mtc1 register $f0,.. $f31 floating point arithmetic divison multiplication int float convert sw lwc1 lw swc1 Memory (2^32 bytes) 18 FP MIPS Instructions Singleprecision arithmetic add.s, sub.s, mul.s, div.s e.g., add.s $f0, $f1, $f6 //F0=F1+F6 Doubleprecision arithmetic add.d, sub.d, mul.d, div.d e.g., mul.d $f4, $f4, $f6 //F4=F4*F6 Comparison c.xx.s, c.xx.d (xx is eq, lt, le, ) will set FP conditioncode bit e.g. c.lt.s $f3, $f4 Branch on FP condition code true or false bc1t ( branch C1 true ), bc1f ( branch C1 false ) e.g., bc1t TargetLabel 19 8
9 FP MIPS Example: F to C C code: float f2c (float fahr) { return ((5.0/9.0)*(fahr )); } fahr in $f12, result in $f0, literals stored in Global memory Compiled MIPS code: f2c: lwc1 $f16, const5($gp) lwc1 $f18, const9($gp) div.s $f16, $f16, $f18 lwc1 $f18, const32($gp) sub.s $f18, $f12, $f18 mul.s $f0, $f16, $f18 jr $ra //F16 = 5.0/9.0 //product result 20 FP Example: Array Multiplication X = X + Y Z All matrices, 64bit doubleprecision elements C code: void mm (double x[][], double y[][], double z[][]) { int i, j, k; } for (i = 0; i! = 32; i = i + 1) for (j = 0; j! = 32; j = j + 1) for (k = 0; k! = 32; k = k + 1) x[i][j] = x[i][j] + y[i][k] * z[k][j]; Addresses of x, y, z in $a0, $a1, $a2, and i, j, k in $s0, $s1, $s2 21 9
10 n FP Example: Array Multiplication MIPS code: li $t1, 32 # $t1 = 32 (row size/loop end) li $s0, 0 # i = 0; initialize 1st for loop L1: li $s1, 0 # j = 0; restart 2nd for loop L2: li $s2, 0 # k = 0; restart 3rd for loop sll $t2, $s0, 5 # $t2 = i * 32, ith row addu $t2, $t2, $s1 # $t2 = i * 32 + j, jth column sll $t2, $t2, 3 # $t2 = byte offset of [i][j] addu $t2, $a0, $t2 # $t2 = byte address of x[i][j] l.d $f4, 0($t2) # $f4 = 8 bytes of x[i][j] L3: sll $t0, $s2, 5 # $t0 = k * 32, kth row addu $t0, $t0, $s1 # $t0 = k * 32 + j, jth column sll $t0, $t0, 3 # $t0 = byte offset of [k][j] addu $t0, $a2, $t0 # $t0 = byte address of z[k][j] l.d $f16, 0($t0) # $f16 = 8 bytes of z[k][j] 22 Accuracy of Floating Point Numbers Only a subset of real numbers can be represented by computer! 24 10
11 Accurate Arithmetic NOTE: Floatingpoint numbers are approximations of real numbers 53 bits vs infinite number of real numbers (consider [0.0, 1.0]) IEEE Std 754 offers a rounding control Allow programmer to finetune numerical behavior of a computation HW always keeps two extra bits of precision (guard, round) Will be used during intermediate computations But not all FP hardware implement all options Most programming languages and FP libraries just use defaults 25 Accurate Arithmetic Guard & Round bits IEEE 754 standard specifies the use of 2 extra bits on the right during intermediate calculations Guard bit and Round bit Example: Add and assuming 3 significant digits and without guard and round bits = With guard and round bits ROUND
12 IEEE Std 754 has 4 different rounding modes 1st is the default; Others are called directed rounding. Round to Nearest round to the nearest value And Ties to Even : If the number falls midway, it is rounded to the nearest even number Round toward 0 directed rounding towards zero (or truncation) Round toward + directed rounding towards positive infinity (ceiling) Round toward directed rounding towards negative infinity (floor) $1.40 $1.60 $1.50 $2.50 $1.50 Nearest even $1.00 $2.00 $2.00 $2.00 $ Accurate Arithmetic A conceptual view: First compute exact result Then make it fit into the desired precision Possibly overflow if exponent too large Possibly round to fit into significand Rounding modes (illustrate with $ rounding) $1.40 $1.60 $1.50 $2.50 $1.50 Zero $1.00 $1.00 $1.00 $2.00 $ $1.00 $1.00 $1.00 $2.00 $ $2.00 $2.00 $2.00 $3.00 $1.00 Nearest even $1.00 $2.00 $2.00 $2.00 $2.00 Rounding methods in case of tie cases (fraction = 0.5) No problems in case of fraction 0.5 However, IRS always round up 0.5! Fused Multiply Add: a = a + (b x c). //round only once at the end! 28 12
13 Interpretation of Data The BIG Picture Bits have no inherent meaning! Could be anything E.g., 32 bits, what does it mean? Interpretation depends on the instruction applied Computer representations of numbers have limited range and limited precision You must know they are approximations (have rounding errors)
Floating Point Arithmetic
Floating Point Arithmetic Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu EEE3050: Theory on Computer Architectures, Spring 2017, Jinkyu Jeong (jinkyu@skku.edu)
More informationArithmetic for Computers. Hwansoo Han
Arithmetic for Computers Hwansoo Han Arithmetic for Computers Operations on integers Addition and subtraction Multiplication and division Dealing with overflow Floatingpoint real numbers Representation
More informationArithmetic. Chapter 3 Computer Organization and Design
Arithmetic Chapter 3 Computer Organization and Design Addition Addition is similar to decimals 0000 0111 + 0000 0101 = 0000 1100 Subtraction (negate) 0000 0111 + 1111 1011 = 0000 0010 Over(under)flow For
More information3.5 Floating Point: Overview
3.5 Floating Point: Overview Floating point (FP) numbers Scientific notation Decimal scientific notation Binary scientific notation IEEE 754 FP Standard Floating point representation inside a computer
More informationFloating Point COE 308. Computer Architecture Prof. Muhamed Mudawar. Computer Engineering Department King Fahd University of Petroleum and Minerals
Floating Point COE 38 Computer Architecture Prof. Muhamed Mudawar Computer Engineering Department King Fahd University of Petroleum and Minerals Presentation Outline FloatingPoint Numbers IEEE 754 FloatingPoint
More informationChapter 3 Arithmetic for Computers (Part 2)
Department of Electr rical Eng ineering, Chapter 3 Arithmetic for Computers (Part 2) 王振傑 (ChenChieh Wang) ccwang@mail.ee.ncku.edu.tw ncku edu Depar rtment of Electr rical Eng ineering, FengChia Unive
More informationCO Computer Architecture and Programming Languages CAPL. Lecture 15
CO20320241 Computer Architecture and Programming Languages CAPL Lecture 15 Dr. Kinga Lipskoch Fall 2017 How to Compute a Binary Float Decimal fraction: 8.703125 Integral part: 8 1000 Fraction part: 0.703125
More informationInteger Subtraction. Chapter 3. Overflow conditions. Arithmetic for Computers. Signed Addition. Integer Addition. Arithmetic for Computers
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Integer Subtraction Chapter 3 Arithmetic for Computers Add negation of second operand Example: 7 6 = 7 + ( 6) +7: 0000 0000
More informationCOMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 3. Arithmetic for Computers
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 3 Arithmetic for Computers Arithmetic for Computers Operations on integers Addition and subtraction Multiplication
More informationCOMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 3. Arithmetic for Computers
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 3 Arithmetic for Computers Arithmetic for Computers Operations on integers Addition and subtraction Multiplication
More informationComputer Architecture. Chapter 3: Arithmetic for Computers
182.092 Computer Architecture Chapter 3: Arithmetic for Computers Adapted from Computer Organization and Design, 4 th Edition, Patterson & Hennessy, 2008, Morgan Kaufmann Publishers and Mary Jane Irwin
More informationPrecision and Accuracy
inst.eecs.berkeley.edu/~cs61c UC Berkeley CS61C : Machine Structures Lecture 16 Floating Point II 20100226 TA Michael Greenbaum www.cs.berkeley.edu/~cs61ctf Research without Google would be like life
More informationFloating Point. The World is Not Just Integers. Programming languages support numbers with fraction
1 Floating Point The World is Not Just Integers Programming languages support numbers with fraction Called floatingpoint numbers Examples: 3.14159265 (π) 2.71828 (e) 0.000000001 or 1.0 10 9 (seconds in
More informationMIPS ISA and MIPS Assembly. CS301 Prof. Szajda
MIPS ISA and MIPS Assembly CS301 Prof. Szajda Administrative HW #2 due Wednesday (9/11) at 5pm Lab #2 due Friday (9/13) 1:30pm Read Appendix B5, B6, B.9 and Chapter 2.52.9 (if you have not already done
More informationFloatingPoint Data Representation and Manipulation 198:231 Introduction to Computer Organization Lecture 3
FloatingPoint Data Representation and Manipulation 198:231 Introduction to Computer Organization Instructor: Nicole Hynes nicole.hynes@rutgers.edu 1 Fixed Point Numbers Fixed point number: integer part
More informationChapter 3 Arithmetic for Computers
Chapter 3 Arithmetic for Computers 1 Arithmetic for Computers Operations on integers Addition and subtraction Multiplication and division Dealing with overflow Floatingpoint real numbers Representation
More informationInstruction Set Architecture of. MIPS Processor. MIPS Processor. MIPS Registers (continued) MIPS Registers
CSE 675.02: Introduction to Computer Architecture MIPS Processor Memory Instruction Set Architecture of MIPS Processor CPU Arithmetic Logic unit Registers $0 $31 Multiply divide Coprocessor 1 (FPU) Registers
More informationFloating point. Today! IEEE Floating Point Standard! Rounding! Floating Point Operations! Mathematical properties. Next time. !
Floating point Today! IEEE Floating Point Standard! Rounding! Floating Point Operations! Mathematical properties Next time! The machine model Chris Riesbeck, Fall 2011 Checkpoint IEEE Floating point Floating
More informationFloating Point Arithmetic
Floating Point Arithmetic CS 365 FloatingPoint What can be represented in N bits? Unsigned 0 to 2 N 2s Complement 2 N1 to 2 N11 But, what about? very large numbers? 9,349,398,989,787,762,244,859,087,678
More informationFloatingPoint Arithmetic
FloatingPoint Arithmetic if ((A + A)  A == A) { SelfDestruct() } L11 Floating Point 1 What is the problem? Many numeric applications require numbers over a VERY large range. (e.g. nanoseconds to centuries)
More informationChapter 2 Float Point Arithmetic. Real Numbers in Decimal Notation. Real Numbers in Decimal Notation
Chapter 2 Float Point Arithmetic Topics IEEE Floating Point Standard Fractional Binary Numbers Rounding Floating Point Operations Mathematical properties Real Numbers in Decimal Notation Representation
More informationFloatingPoint Arithmetic
FloatingPoint Arithmetic if ((A + A)  A == A) { SelfDestruct() } Reading: Study Chapter 4. L12 Multiplication 1 Why Floating Point? Aren t Integers enough? Many applications require numbers with a VERY
More informationCS101 Introduction to computing Floating Point Numbers
CS101 Introduction to computing Floating Point Numbers A. Sahu and S. V.Rao Dept of Comp. Sc. & Engg. Indian Institute of Technology Guwahati 1 Outline Need to floating point number Number representation
More informationIEEE Standard for FloatingPoint Arithmetic: 754
IEEE Standard for FloatingPoint Arithmetic: 754 G.E. Antoniou G.E. Antoniou () IEEE Standard for FloatingPoint Arithmetic: 754 1 / 34 Floating Point Standard: IEEE 754 1985/2008 Established in 1985 (2008)
More informationSystem Programming CISC 360. Floating Point September 16, 2008
System Programming CISC 360 Floating Point September 16, 2008 Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Powerpoint Lecture Notes for Computer Systems:
More informationSystems I. Floating Point. Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties
Systems I Floating Point Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties IEEE Floating Point IEEE Standard 754 Established in 1985 as uniform standard for
More informationHomework 3. Assigned on 02/15 Due time: midnight on 02/21 (1 WEEK only!) B.2 B.11 B.14 (hint: use multiplexors) CSCI 402: Computer Architectures
Homework 3 Assigned on 02/15 Due time: midnight on 02/21 (1 WEEK only!) B.2 B.11 B.14 (hint: use multiplexors) 1 CSCI 402: Computer Architectures Arithmetic for Computers (2) Fengguang Song Department
More informationFloating Point Numbers
Floating Point Numbers Summer 8 Fractional numbers Fractional numbers fixed point Floating point numbers the IEEE 7 floating point standard Floating point operations Rounding modes CMPE Summer 8 Slides
More informationFloating point. Today. IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Next time.
Floating point Today IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Next time The machine model Fabián E. Bustamante, Spring 2010 IEEE Floating point Floating point
More informationNumber Systems and Computer Arithmetic
Number Systems and Computer Arithmetic Counting to four billion two fingers at a time What do all those bits mean now? bits (011011011100010...01) instruction Rformat Iformat... integer data number text
More informationCO Computer Architecture and Programming Languages CAPL. Lecture 13 & 14
CO20320241 Computer Architecture and Programming Languages CAPL Lecture 13 & 14 Dr. Kinga Lipskoch Fall 2017 Frame Pointer (1) The stack is also used to store variables that are local to function, but
More informationData Representation Floating Point
Data Representation Floating Point CSCI 2400 / ECE 3217: Computer Architecture Instructor: David Ferry Slides adapted from Bryant & O Hallaron s slides via Jason Fritts Today: Floating Point Background:
More informationFloating Point Numbers. Lecture 9 CAP
Floating Point Numbers Lecture 9 CAP 3103 06162014 Review of Numbers Computers are made to deal with numbers What can we represent in N bits? 2 N things, and no more! They could be Unsigned integers:
More informationOctober 24. Five Execution Steps
October 24 Programming problems? Read Section 6.1 for November 5 How instructions execute Test Preview Ask Questions! 10/24/2001 Comp 120 Fall 2001 1 Five Execution Steps Instruction Fetch Instruction
More informationFloating Point Puzzles The course that gives CMU its Zip! Floating Point Jan 22, IEEE Floating Point. Fractional Binary Numbers.
class04.ppt 15213 The course that gives CMU its Zip! Topics Floating Point Jan 22, 2004 IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Floating Point Puzzles For
More informationCS61c Midterm Review (fa06) Number representation and Floating points From your friendly reader
CS61c Midterm Review (fa06) Number representation and Floating points From your friendly reader Number representation (See: Lecture 2, Lab 1, HW#1) KNOW: Kibi (2 10 ), Mebi(2 20 ), Gibi(2 30 ), Tebi(2
More informationEE 109 Unit 19. IEEE 754 Floating Point Representation Floating Point Arithmetic
1 EE 109 Unit 19 IEEE 754 Floating Point Representation Floating Point Arithmetic 2 Floating Point Used to represent very small numbers (fractions) and very large numbers Avogadro s Number: +6.0247 * 10
More informationGiving credit where credit is due
CSCE 230J Computer Organization Floating Point Dr. Steve Goddard goddard@cse.unl.edu http://cse.unl.edu/~goddard/courses/csce230j Giving credit where credit is due Most of slides for this lecture are based
More informationMIPS Assembly Programming
COMP 212 Computer Organization & Architecture COMP 212 Fall 2008 Lecture 8 Cache & Disk System Review MIPS Assembly Programming Comp 212 Computer Org & Arch 1 Z. Li, 2008 Comp 212 Computer Org & Arch 2
More informationCS429: Computer Organization and Architecture
CS429: Computer Organization and Architecture Dr. Bill Young Department of Computer Sciences University of Texas at Austin Last updated: September 18, 2017 at 12:48 CS429 Slideset 4: 1 Topics of this Slideset
More informationComplications with long instructions. CMSC 411 Computer Systems Architecture Lecture 6 Basic Pipelining 3. How slow is slow?
Complications with long instructions CMSC 411 Computer Systems Architecture Lecture 6 Basic Pipelining 3 Long Instructions & MIPS Case Study So far, all MIPS instructions take 5 cycles But haven't talked
More informationModule 2: Computer Arithmetic
Module 2: Computer Arithmetic 1 B O O K : C O M P U T E R O R G A N I Z A T I O N A N D D E S I G N, 3 E D, D A V I D L. P A T T E R S O N A N D J O H N L. H A N N E S S Y, M O R G A N K A U F M A N N
More informationInf2C  Computer Systems Lecture 2 Data Representation
Inf2C  Computer Systems Lecture 2 Data Representation Boris Grot School of Informatics University of Edinburgh Last lecture Moore s law Types of computer systems Computer components Computer system stack
More informationUp next. Midterm. Today s lecture. To follow
Up next Midterm Next Friday in class Exams page on web site has info + practice problems Excited for you to rock the exams like you have been the assignments! Today s lecture Back to numbers, bits, data
More informationAdministrivia. CMSC 411 Computer Systems Architecture Lecture 6. When do MIPS exceptions occur? Review: Exceptions. Answers to HW #1 posted
Administrivia CMSC 411 Computer Systems Architecture Lecture 6 Basic Pipelining (cont.) Alan Sussman als@cs.umd.edu as@csu dedu Answers to HW #1 posted password protected, with instructions sent via email
More informationFloating Point. EE 109 Unit 20. Floating Point Representation. Fixed Point
2.1 Floating Point 2.2 EE 19 Unit 2 IEEE 754 Floating Point Representation Floating Point Arithmetic Used to represent very numbers (fractions) and very numbers Avogadro s Number: +6.247 * 1 23 Planck
More informationCSE A215 Assembly Language Programming for Engineers
CSE A215 Assembly Language Programming for Engineers Lecture 7 MIPS vs. ARM (COD Chapter 2 and Exam #1 Review) October 12, 2012 Sam Siewert Comparison of MIPS32 and ARM Instruction Formats and Addressing
More informationCS2214 COMPUTER ARCHITECTURE & ORGANIZATION SPRING 2014
B CS2214 COMPUTER ARCHITECTURE & ORGANIZATION SPRING 2014 DUE : March 3, 2014 READ :  Related sections of Chapter 2  Related sections of Chapter 3  Related sections of Appendix A  Related sections
More informationNumber Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as:
N Number Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as: a n a a a The value of this number is given by: = a n Ka a a a a a
More informationENGN1640: Design of Computing Systems Topic 03: Instruction Set Architecture Design
ENGN1640: Design of Computing Systems Topic 03: Instruction Set Architecture Design Professor Sherief Reda http://scale.engin.brown.edu School of Engineering Brown University Spring 2014 Sources: Computer
More informationREGISTERS INSTRUCTION SET DIRECTIVES SYSCALLS
MARS REGISTERS INSTRUCTION SET DIRECTIVES SYSCALLS ΗΥ 134: ΕΙΣΑΓΩΓΗ ΣΤΗΝ ΟΡΓΑΝΩΣΗ ΚΑΙ ΣΧΕΔΙΑΣΗ Η/Υ Ι Registers MIPS has 32 integer registers. The hardware architecture specifies that: General purpose register
More informationCS367 Test 1 Review Guide
CS367 Test 1 Review Guide This guide tries to revisit what topics we've covered, and also to briefly suggest/hint at types of questions that might show up on the test. Anything on slides, assigned reading,
More information±M R ±E, S M CHARACTERISTIC MANTISSA 1 k j
ENEE 350 c C. B. Silio, Jan., 2010 FLOATING POINT REPRESENTATIONS It is assumed that the student is familiar with the discussion in Appendix B of the text by A. Tanenbaum, Structured Computer Organization,
More informationRepresenting and Manipulating Floating Points
Representing and Manipulating Floating Points JinSoo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu The Problem How to represent fractional values with
More informationFloating Point Numbers
Floating Point Floating Point Numbers Mathematical background: tional binary numbers Representation on computers: IEEE floating point standard Rounding, addition, multiplication Kai Shen 1 2 Fractional
More informationFloating Point Representation in Computers
Floating Point Representation in Computers Floating Point Numbers  What are they? Floating Point Representation Floating Point Operations Where Things can go wrong What are Floating Point Numbers? Any
More information15213 Recitation 2: Floating Point
15213 Recitation 2: Floating Point 1 Introduction This handout will introduce and test your knowledge of the floating point representation of real numbers, as defined by the IEEE standard. This information
More informationHomework 1 graded and returned in class today. Solutions posted online. Request regrades by next class period. Question 10 treated as extra credit
Announcements Homework 1 graded and returned in class today. Solutions posted online. Request regrades by next class period. Question 10 treated as extra credit Quiz 2 Monday on Number System Conversions
More informationOutline. L9: Project Discussion and Floating Point Issues. Project Parts (Total = 50%) Project Proposal (due 3/8) 2/13/12.
Outline L9: Project Discussion and Floating Point Issues Discussion of semester projects Floating point Mostly single precision until recent architectures Accuracy What s fast and what s not Reading: Ch
More informationChapter 03: Computer Arithmetic. Lesson 09: Arithmetic using floating point numbers
Chapter 03: Computer Arithmetic Lesson 09: Arithmetic using floating point numbers Objective To understand arithmetic operations in case of floating point numbers 2 Multiplication of Floating Point Numbers
More information10.1. Unit 10. Signed Representation Systems Binary Arithmetic
0. Unit 0 Signed Representation Systems Binary Arithmetic 0.2 BINARY REPRESENTATION SYSTEMS REVIEW 0.3 Interpreting Binary Strings Given a string of s and 0 s, you need to know the representation system
More informationICS 233 COMPUTER ARCHITECTURE. MIPS Processor Design Multicycle Implementation
ICS 233 COMPUTER ARCHITECTURE MIPS Processor Design Multicycle Implementation Lecture 23 1 Add immediate unsigned Subtract unsigned And And immediate Or Or immediate Nor Shift left logical Shift right
More informationRui Wang, Assistant professor Dept. of Information and Communication Tongji University.
Instructions: ti Language of the Computer Rui Wang, Assistant professor Dept. of Information and Communication Tongji University it Email: ruiwang@tongji.edu.cn Computer Hierarchy Levels Language understood
More informationREMEMBER TO REGISTER FOR THE EXAM.
REMEMBER TO REGISTER FOR THE EXAM http://tenta.angstrom.uu.se/tenta/ Floating point representation How are numbers actually stored? Some performance consequences and tricks Encoding Byte Values Byte =
More informationComputer and Information Sciences College / Computer Science Department Enhancing Performance with Pipelining
Computer and Information Sciences College / Computer Science Department Enhancing Performance with Pipelining SingleCycle Design Problems Assuming fixedperiod clock every instruction datapath uses one
More informationCourse Schedule. CS 221 Computer Architecture. Week 3: Plan. I. Hexadecimals and Character Representations. Hexadecimal Representation
Course Schedule CS 221 Computer Architecture Week 3: Information Representation (2) Fall 2001 W1 Sep 11 Sep 14 Introduction W2 Sep 18 Sep 21 Information Representation (1) (Chapter 3) W3 Sep 25 Sep
More informationECE 2035 Programming HW/SW Systems Fall problems, 7 pages Exam Two 23 October 2013
Instructions: This is a closed book, closed note exam. Calculators are not permitted. If you have a question, raise your hand and I will come to you. Please work the exam in pencil and do not separate
More informationECE 154A Introduction to. Fall 2012
ECE 154A Introduction to Computer Architecture Fall 2012 Dmitri Strukov Lecture 4: Arithmetic and Data Transfer Instructions Agenda Review of last lecture Logic and shift instructions Load/store instructionsi
More informationComputer Architecture EE 4720 Midterm Examination
Name Solution Computer Architecture EE 4720 Midterm Examination Wednesday, 22 March 2017, 9:30 10:20 CT Alias MIPSabrazo Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Exam Total (20 pts) (20 pts)
More informationToday s topics. MIPS operations and operands. MIPS arithmetic. CS/COE1541: Introduction to Computer Architecture. A Review of MIPS ISA.
Today s topics CS/COE1541: Introduction to Computer Architecture MIPS operations and operands MIPS registers Memory view Instruction encoding A Review of MIPS ISA Sangyeun Cho Arithmetic operations Logic
More informationCS61C L10 MIPS Instruction Representation II, Floating Point I (6)
CS61C L1 MIPS Instruction Representation II, Floating Point I (1) inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture #1 Instruction Representation II, Floating Point I 2513 There is one
More informationComputer Architecture Review. Jo, Heeseung
Computer Architecture Review Jo, Heeseung Computer Abstractions and Technology Jo, Heeseung Below Your Program Application software Written in highlevel language System software Compiler: translates HLL
More informationCS61C : Machine Structures
inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture #10 Instruction Representation II, Floating Point I 20051003 Lecturer PSOE, new dad Dan Garcia www.cs.berkeley.edu/~ddgarcia #9 bears
More informationFloatingpoint Arithmetic. where you sum up the integer to the left of the decimal point and the fraction to the right.
Floatingpoint Arithmetic Reading: pp. 312328 FloatingPoint Representation Nonscientific floating point numbers: A noninteger can be represented as: 2 4 2 3 2 2 2 1 2 0.21 22 23 24 where you sum
More informationCS 265. Computer Architecture. Wei Lu, Ph.D., P.Eng.
CS 265 Computer Architecture Wei Lu, Ph.D., P.Eng. 1 Part 1: Data Representation Our goal: revisit and reestablish fundamental of mathematics for the computer architecture course Overview: what are bits
More informationNumeric Encodings Prof. James L. Frankel Harvard University
Numeric Encodings Prof. James L. Frankel Harvard University Version of 10:19 PM 12Sep2017 Copyright 2017, 2016 James L. Frankel. All rights reserved. Representation of Positive & Negative Integral and
More informationIntegers and Floating Point
CMPE12 More about Numbers Integers and Floating Point (Rest of Textbook Chapter 2 plus more)" Review: Unsigned Integer A string of 0s and 1s that represent a positive integer." String is X n1, X n2,
More informationThe MIPS R2000 Instruction Set
The MIPS R2000 Instruction Set Arithmetic and Logical Instructions In all instructions below, Src2 can either be a register or an immediate value (a 16 bit integer). The immediate forms of the instructions
More informationAdvanced issues in pipelining
Advanced issues in pipelining 1 Outline Handling exceptions Supporting multicycle operations Pipeline evolution Examples of real pipelines 2 Handling exceptions 3 Exceptions In pipelined execution, one
More informationComputer Organization MIPS Architecture. Department of Computer Science Missouri University of Science & Technology
Computer Organization MIPS Architecture Department of Computer Science Missouri University of Science & Technology hurson@mst.edu Computer Organization Note, this unit will be covered in three lectures.
More informationC NUMERIC FORMATS. Overview. IEEE SinglePrecision Floatingpoint Data Format. Figure C0. Table C0. Listing C0.
C NUMERIC FORMATS Figure C. Table C. Listing C. Overview The DSP supports the 32bit singleprecision floatingpoint data format defined in the IEEE Standard 754/854. In addition, the DSP supports an
More informationMath 230 Assembly Programming (AKA Computer Organization) Spring 2008
Math 230 Assembly Programming (AKA Computer Organization) Spring 2008 MIPS Intro II Lect 10 Feb 15, 2008 Adapted from slides developed for: Mary J. Irwin PSU CSE331 Dave Patterson s UCB CS152 M230 L10.1
More informationFloating Point Arithmetic
Floating Point Arithmetic Clark N. Taylor Department of Electrical and Computer Engineering Brigham Young University clark.taylor@byu.edu 1 Introduction Numerical operations are something at which digital
More informationEN164: Design of Computing Systems Topic 03: Instruction Set Architecture Design
EN164: Design of Computing Systems Topic 03: Instruction Set Architecture Design Professor Sherief Reda http://scale.engin.brown.edu Electrical Sciences and Computer Engineering School of Engineering Brown
More informationComputer Science 324 Computer Architecture Mount Holyoke College Fall Topic Notes: MIPS Instruction Set Architecture
Computer Science 324 Computer Architecture Mount Holyoke College Fall 2009 Topic Notes: MIPS Instruction Set Architecture vonneumann Architecture Modern computers use the vonneumann architecture. Idea:
More information1010 2?= ?= CS 64 Lecture 2 Data Representation. Decimal Numbers: Base 10. Reading: FLD Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9
CS 64 Lecture 2 Data Representation Reading: FLD 1.21.4 Decimal Numbers: Base 10 Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 Example: 3271 = (3x10 3 ) + (2x10 2 ) + (7x10 1 ) + (1x10 0 ) 1010 10?= 1010 2?= 1
More information17. Instruction Sets: Characteristics and Functions
17. Instruction Sets: Characteristics and Functions Chapter 12 Spring 2016 CS430  Computer Architecture 1 Introduction Section 12.1, 12.2, and 12.3 pp. 406418 Computer Designer: Machine instruction set
More informationObjects and Types. COMS W1007 Introduction to Computer Science. Christopher Conway 29 May 2003
Objects and Types COMS W1007 Introduction to Computer Science Christopher Conway 29 May 2003 Java Programs A Java program contains at least one class definition. public class Hello { public static void
More informationComputer Arithmetic Ch 8
Computer Arithmetic Ch 8 ALU Integer Representation Integer Arithmetic FloatingPoint Representation FloatingPoint Arithmetic 1 Arithmetic Logical Unit (ALU) (2) (aritmeettislooginen yksikkö) Does all
More informationComputer Arithmetic Ch 8
Computer Arithmetic Ch 8 ALU Integer Representation Integer Arithmetic FloatingPoint Representation FloatingPoint Arithmetic 1 Arithmetic Logical Unit (ALU) (2) Does all work in CPU (aritmeettislooginen
More informationDescription Hex M E V smallest value > largest denormalized negative infinity number with hex representation 3BB0 
CSE2421 HOMEWORK #2 DUE DATE: MONDAY 11/5 11:59pm PROBLEM 2.84 Given a floatingpoint format with a kbit exponent and an nbit fraction, write formulas for the exponent E, significand M, the fraction
More informationShift and Rotate Instructions
Shift and Rotate Instructions Shift and rotate instructions facilitate manipulations of data (that is, modifying part of a 32bit data word). Such operations might include: Rearrangement of bytes in a
More informationComputer Architecture and Organization
31 Chapter 3  Arithmetic Computer Architecture and Organization Miles Murdocca and Vincent Heuring Chapter 3 Arithmetic 32 Chapter 3  Arithmetic Chapter Contents 3.1 Fixed Point Addition and Subtraction
More informationECE 4750 Computer Architecture, Fall 2014 T01 SingleCycle Processors
ECE 4750 Computer Architecture, Fall 2014 T01 SingleCycle Processors School of Electrical and Computer Engineering Cornell University revision: 201409031721 1 Instruction Set Architecture 2 1.1. IBM
More informationIT 1204 Section 2.0. Data Representation and Arithmetic. 2009, University of Colombo School of Computing 1
IT 1204 Section 2.0 Data Representation and Arithmetic 2009, University of Colombo School of Computing 1 What is Analog and Digital The interpretation of an analog signal would correspond to a signal whose
More informationGPU Floating Point Features
CSE 591: GPU Programming Floating Point Considerations Klaus Mueller Computer Science Department Stony Brook University Objective To understand the fundamentals of floatingpoint representation To know
More informationEC 413 Computer Organization
EC 413 Computer Organization Review I Prof. Michel A. Kinsy Computing: The Art of Abstraction Application Algorithm Programming Language Operating System/Virtual Machine Instruction Set Architecture (ISA)
More informationCS61c Summer 2014 Midterm Exam
CS61c Summer 2014 Midterm Exam Read this first: This exam is marked out of 100 points, and amounts to 30% of your final grade. There are 7 questions across 9 pages in this exam. The last question is extra
More informationFPSim: A Floating Point Arithmetic Demonstration Applet
FPSim: A Floating Point Arithmetic Demonstration Applet Jeffrey Ward Departmen t of Computer Science St. Cloud State University waje9901@stclouds ta te.edu Abstract An understan ding of IEEE 754 standar
More informationCSCE 212: FINAL EXAM Spring 2009
CSCE 212: FINAL EXAM Spring 2009 Name (please print): Total points: /120 Instructions This is a CLOSED BOOK and CLOSED NOTES exam. However, you may use calculators, scratch paper, and the green MIPS reference
More information