In 1980, the yield = 48% and the Die Area = 0.16 from figure In 1992, the yield = 48% and the Die Area = 0.97 from figure 1.31.
|
|
- Leslie Hicks
- 5 years ago
- Views:
Transcription
1 CS152 Homework 1 Solutions Spring Yield = 1 / ((1 + (Defects per area * Die Area / 2))^2) Thus, if die area increases, defects per area must decrease Solving the yield equation for Defects per area, we get: Defects per area = (1 / (sqrt(yield) 1) * (2 / Die Area) 1.53 In 1980, the yield = 48% and the Die Area = 0.16 from figure In 1992, the yield = 48% and the Die Area = 0.97 from figure Thus, Defects per area in 1980 = (1 / (sqrt(0.48) 1) * (2 /.16) = 5.5 / unit area (in sq. cm) Defects per area in 1992 = (1 / (sqrt(0.48) 1) * (2 /.97) =.914 / unit area (in sq. cm) Improvement = 5.5 /.914 = 601.7% improvement. 2.3 If you get confused in these questions, just remember to do unit analysis. CPI M1 = 10 seconds * (200e6 cycles / sec) * (1 / 200e6 instructions) = 10 cycles per instruction CPI M2 = 5 seconds * (300e6 cycles / sec) * (1 / 160e6 instructions) = cycles per instruction 2.15 MIPS = Instruction Count / (Execution time * 10^6) Since Execution Time = Instruction Count * CPI * (1 / Clock Cycle) MIPS = Clock Cycle / (CPI * 10^6) First we need to find CPI of each machine.
2 CPI MFP =.1 * * * * 2 = 3.6 CPI MNFP =.1 * * * *2 = 18.4 Note that for CPI MNFP, we used 60, 40, and 100 rather than 30, 20, and 50. This is because it takes 30 integer instructions for a FP multiply, and each of those 30 integer instructions takes 2 clock cycles. Thus 30 * 2 = 60. This holds for FP add and divide as well. MIPS MFP = 1000e6 / (3.6 * 10^6) = MIPS MNFP = 1000e6(18.4*10^6) = Since 10% of the instructions are FP mults, we know that there are.1 * 300e6 number of floating point multiply instructions. We can similarily find the number of FP add, FP divide, and integer instructions. = (.1 * 300e6 * 30) + (.15 * 300e6 * 20) + (.05 * 300e6 * 40) + (.7 * 300e6) = 2.76e CPI a = (2 *.4) + (3 *.25) + (3 *.25) + (5 *.1) = 2.8 CPI CPI b = (2 *.4) + (2 *.25) + (3 *.25) + (4 *.1) = 2.45 CPI Note that CPI does not include clock cycles at all!! 2.24 Only calculated for the hardware improvement (2.18); Performance of Mbase = 500e6 / (2.8 * 10^6) = 178 MIPS Performance of Mopt = 600e6 / (2.45 * 10^6) = 245 MIPS This is a performance gain of 245 / 178 = 1.37, or 37% improvement in 6 months. In the 6 months necessary to optimize, CPI performance will increase by ^ 6 = 1.22, or 22%. Since the performance gain is more than the normal growth rate of performance, the optimizations should be done Performance = Inst Count * CPI * Cycle Time
3 In this case, Inst count is the same for both, so we can drop it. (Assume 1 instruction or 100 or any number so long as it s the same, since it ll cancel out anyway). It is easier to pick an arbitrary value for Clock Cycle. The easiest number would be 1 Hz, so the cycle time = 1. Performance(old) = (.1 * *4) * 1 = 4.8 seconds Performance(new) = (.1 * * 4) * 1.2 = 5.04 seconds Since performance is worse, we should not proceed with the modification Execution time after improvement = ( 5 sec / 5) + 5 sec = 6 sec. Speedup = 10 sec / 6 sec = Multiplication: (20 sec / 4) + 80 = 85 sec, Speedup = 100 sec / 85 sec = 1.18 Memory Access: (50 sec / 2) + 50 = 75 sec, Speedup = 100 sec / 75 sec= 1.33 Both: (20 sec / 4) + (50 sec / 2) + 30 = 60 sec, Speedup = 100 sec / 60 sec = 1.67 B.15 The even parity function will output a 1 whenever there are an even numbers of 1 in the input, and 0 otherwise. A B C D Out
4 B.21 Note that the machine simply changes state every clock cycle. Mid1State Middle =1 LeftState Left = 1 Middle =0 RightState Middle =0 Right = 1 Mid2State Middle =1 B.22 First, we do state assignments: LeftState = 00 Mid1State = 01 RightState = 11 Mid2State = 10 Note that we picked RightState to be 11. This makes it so that each transition only involves one of the 2 state bits to change. This will make our logic simpler later. If you picked 10 for RightState and 11 for Mid2State, your logic equations may be more complex (and require more gates). CS1 CS0 NS1 NS Solving for NS1 and NS0, we get as our next state equations: NS1 = CS0, and NS0 = ~CS1.
5 Our output table looks like this: CS1 CS0 Left Middle Right Thus (by inspection), Left = ~CS1 ~CS0 Middle = CS1 CS0 Right = CS1 CS0
Goals for Performance Lecture
Goals for Performance Lecture Understand performance, speedup, throughput, latency Relationship between cycle time, cycles/instruction (CPI), number of instructions (the performance equation) Amdahl s
More informationLecture 3, Performance
Repeating some definitions: Lecture 3, Performance CPI MHz MIPS MOPS Clocks Per Instruction megahertz, millions of cycles per second Millions of Instructions Per Second = MHz / CPI Millions of Operations
More informationLecture 3, Performance
Lecture 3, Performance Repeating some definitions: CPI Clocks Per Instruction MHz megahertz, millions of cycles per second MIPS Millions of Instructions Per Second = MHz / CPI MOPS Millions of Operations
More informationPERFORMANCE METRICS. Mahdi Nazm Bojnordi. CS/ECE 6810: Computer Architecture. Assistant Professor School of Computing University of Utah
PERFORMANCE METRICS Mahdi Nazm Bojnordi Assistant Professor School of Computing University of Utah CS/ECE 6810: Computer Architecture Overview Announcement Jan. 17 th : Homework 1 release (due on Jan.
More informationTEST 1 REVIEW. Lectures 1-5
TEST 1 REVIEW Lectures 1-5 REVIEW Test 1 will cover lectures 1-5. There are 10 questions in total with the last being a bonus question. The questions take the form of short answers (where you are expected
More information2x 1 7. A linear congruence in modular arithmetic is an equation of the form. Why is the solution a set of integers rather than a unique integer?
Chapter 3: Theory of Modular Arithmetic 25 SECTION C Solving Linear Congruences By the end of this section you will be able to solve congruence equations determine the number of solutions find the multiplicative
More informationINF2270 Spring Philipp Häfliger. Lecture 8: Superscalar CPUs, Course Summary/Repetition (1/2)
INF2270 Spring 2010 Philipp Häfliger Summary/Repetition (1/2) content From Scalar to Superscalar Lecture Summary and Brief Repetition Binary numbers Boolean Algebra Combinational Logic Circuits Encoder/Decoder
More information2x 1 7. A linear congruence in modular arithmetic is an equation of the form. Why is the solution a set of integers rather than a unique integer?
Chapter 3: Theory of Modular Arithmetic 25 SECTION C Solving Linear Congruences By the end of this section you will be able to solve congruence equations determine the number of solutions find the multiplicative
More informationCS 700: Quantitative Methods & Experimental Design in Computer Science
CS 700: Quantitative Methods & Experimental Design in Computer Science Sanjeev Setia Dept of Computer Science George Mason University Logistics Grade: 35% project, 25% Homework assignments 20% midterm,
More information3.5 Solving Equations Involving Integers II
208 CHAPTER 3. THE FUNDAMENTALS OF ALGEBRA 3.5 Solving Equations Involving Integers II We return to solving equations involving integers, only this time the equations will be a bit more advanced, requiring
More informationLecture 2: Metrics to Evaluate Systems
Lecture 2: Metrics to Evaluate Systems Topics: Metrics: power, reliability, cost, benchmark suites, performance equation, summarizing performance with AM, GM, HM Sign up for the class mailing list! Video
More informationAmdahl's Law. Execution time new = ((1 f) + f/s) Execution time. S. Then:
Amdahl's Law Useful for evaluating the impact of a change. (A general observation.) Insight: Improving a feature cannot improve performance beyond the use of the feature Suppose we introduce a particular
More informationCMP 334: Seventh Class
CMP 334: Seventh Class Performance HW 5 solution Averages and weighted averages (review) Amdahl's law Ripple-carry adder circuits Binary addition Half-adder circuits Full-adder circuits Subtraction, negative
More informationMA 1128: Lecture 08 03/02/2018. Linear Equations from Graphs And Linear Inequalities
MA 1128: Lecture 08 03/02/2018 Linear Equations from Graphs And Linear Inequalities Linear Equations from Graphs Given a line, we would like to be able to come up with an equation for it. I ll go over
More informationEECS150 - Digital Design Lecture 11 - Shifters & Counters. Register Summary
EECS50 - Digital Design Lecture - Shifters & Counters February 24, 2003 John Wawrzynek Spring 2005 EECS50 - Lec-counters Page Register Summary All registers (this semester) based on Flip-flops: q 3 q 2
More informationPerformance Metrics for Computer Systems. CASS 2018 Lavanya Ramapantulu
Performance Metrics for Computer Systems CASS 2018 Lavanya Ramapantulu Eight Great Ideas in Computer Architecture Design for Moore s Law Use abstraction to simplify design Make the common case fast Performance
More informationEECS Components and Design Techniques for Digital Systems. FSMs 9/11/2007
EECS 150 - Components and Design Techniques for Digital Systems FSMs 9/11/2007 Sarah Bird Electrical Engineering and Computer Sciences University of California, Berkeley Slides borrowed from David Culler
More informationChapter 5. Digital Design and Computer Architecture, 2 nd Edition. David Money Harris and Sarah L. Harris. Chapter 5 <1>
Chapter 5 Digital Design and Computer Architecture, 2 nd Edition David Money Harris and Sarah L. Harris Chapter 5 Chapter 5 :: Topics Introduction Arithmetic Circuits umber Systems Sequential Building
More informationICS 233 Computer Architecture & Assembly Language
ICS 233 Computer Architecture & Assembly Language Assignment 6 Solution 1. Identify all of the RAW data dependencies in the following code. Which dependencies are data hazards that will be resolved by
More informationThe Design Procedure. Output Equation Determination - Derive output equations from the state table
The Design Procedure Specification Formulation - Obtain a state diagram or state table State Assignment - Assign binary codes to the states Flip-Flop Input Equation Determination - Select flipflop types
More informationSection 7.4: Inverse Laplace Transform
Section 74: Inverse Laplace Transform A natural question to ask about any function is whether it has an inverse function We now ask this question about the Laplace transform: given a function F (s), will
More informationMeasurement & Performance
Measurement & Performance Timers Performance measures Time-based metrics Rate-based metrics Benchmarking Amdahl s law Topics 2 Page The Nature of Time real (i.e. wall clock) time = User Time: time spent
More informationMeasurement & Performance
Measurement & Performance Topics Timers Performance measures Time-based metrics Rate-based metrics Benchmarking Amdahl s law 2 The Nature of Time real (i.e. wall clock) time = User Time: time spent executing
More informationBinary addition example worked out
Binary addition example worked out Some terms are given here Exercise: what are these numbers equivalent to in decimal? The initial carry in is implicitly 0 1 1 1 0 (Carries) 1 0 1 1 (Augend) + 1 1 1 0
More informationCounters. We ll look at different kinds of counters and discuss how to build them
Counters We ll look at different kinds of counters and discuss how to build them These are not only examples of sequential analysis and design, but also real devices used in larger circuits 1 Introducing
More informationCOVER SHEET: Problem#: Points
EEL 4712 Midterm 3 Spring 2017 VERSION 1 Name: UFID: Sign here to give permission for your test to be returned in class, where others might see your score: IMPORTANT: Please be neat and write (or draw)
More informationDiscrete Mathematics for CS Spring 2005 Clancy/Wagner Notes 25. Minesweeper. Optimal play in Minesweeper
CS 70 Discrete Mathematics for CS Spring 2005 Clancy/Wagner Notes 25 Minesweeper Our final application of probability is to Minesweeper. We begin by discussing how to play the game optimally; this is probably
More informationEECS150 - Digital Design Lecture 23 - FSMs & Counters
EECS150 - Digital Design Lecture 23 - FSMs & Counters April 8, 2010 John Wawrzynek Spring 2010 EECS150 - Lec22-counters Page 1 One-hot encoding of states. One FF per state. State Encoding Why one-hot encoding?
More informationUnit 8A Computer Organization. Boolean Logic and Gates
Unit 8A Computer Organization Boolean Logic and Gates Announcements Bring ear buds or headphones to lab! 15110 Principles of Computing, Carnegie Mellon University - CORTINA 2 Representing and Manipulating
More informationLogic and Computer Design Fundamentals. Chapter 8 Sequencing and Control
Logic and Computer Design Fundamentals Chapter 8 Sequencing and Control Datapath and Control Datapath - performs data transfer and processing operations Control Unit - Determines enabling and sequencing
More informationDefinition: A "system" of equations is a set or collection of equations that you deal with all together at once.
System of Equations Definition: A "system" of equations is a set or collection of equations that you deal with all together at once. There is both an x and y value that needs to be solved for Systems
More informationDesign at the Register Transfer Level
Week-7 Design at the Register Transfer Level Algorithmic State Machines Algorithmic State Machine (ASM) q Our design methodologies do not scale well to real-world problems. q 232 - Logic Design / Algorithmic
More informationPerformance of Computers. Performance of Computers. Defining Performance. Forecast
Performance of Computers Which computer is fastest? Not so simple scientific simulation - FP performance program development - Integer performance commercial work - I/O Performance of Computers Want to
More informationLet s now begin to formalize our analysis of sequential machines Powerful methods for designing machines for System control Pattern recognition Etc.
Finite State Machines Introduction Let s now begin to formalize our analysis of sequential machines Powerful methods for designing machines for System control Pattern recognition Etc. Such devices form
More informationPerformance, Power & Energy. ELEC8106/ELEC6102 Spring 2010 Hayden Kwok-Hay So
Performance, Power & Energy ELEC8106/ELEC6102 Spring 2010 Hayden Kwok-Hay So Recall: Goal of this class Performance Reconfiguration Power/ Energy H. So, Sp10 Lecture 3 - ELEC8106/6102 2 PERFORMANCE EVALUATION
More informationIntro To Digital Logic
Intro To Digital Logic 1 Announcements... Project 2.2 out But delayed till after the midterm Midterm in a week Covers up to last lecture + next week's homework & lab Nick goes "H-Bomb of Justice" About
More informationLesson 3-2: Solving Linear Systems Algebraically
Yesterday we took our first look at solving a linear system. We learned that a linear system is two or more linear equations taken at the same time. Their solution is the point that all the lines have
More informationCMP 338: Third Class
CMP 338: Third Class HW 2 solution Conversion between bases The TINY processor Abstraction and separation of concerns Circuit design big picture Moore s law and chip fabrication cost Performance What does
More informationDepartment of Electrical and Computer Engineering University of Wisconsin Madison. Fall Final Examination
Department of Electrical and Computer Engineering University of Wisconsin Madison ECE 553: Testing and Testable Design of Digital Systems Fall 2013-2014 Final Examination CLOSED BOOK Kewal K. Saluja Date:
More informationEECS150 - Digital Design Lecture 21 - Design Blocks
EECS150 - Digital Design Lecture 21 - Design Blocks April 3, 2012 John Wawrzynek Spring 2012 EECS150 - Lec21-db3 Page 1 Fixed Shifters / Rotators fixed shifters hardwire the shift amount into the circuit.
More information5 + 9(10) + 3(100) + 0(1000) + 2(10000) =
Chapter 5 Analyzing Algorithms So far we have been proving statements about databases, mathematics and arithmetic, or sequences of numbers. Though these types of statements are common in computer science,
More informationQ: Examine the relationship between X and the Next state. How would you describe this circuit? A: An inverter which is synched with a clock signal.
/2/2 OF 7 Next, let s reverse engineer a T-Flip flop Prob. (Pg 529) Note that whenever T is equal to, there is a state change, otherwise, there isn t. In this circuit, (x) determines whether the output
More informationSequences & Functions
Ch. 5 Sec. 1 Sequences & Functions Skip Counting to Arithmetic Sequences When you skipped counted as a child, you were introduced to arithmetic sequences. Example 1: 2, 4, 6, 8, adding 2 Example 2: 10,
More informationEECS150 - Digital Design Lecture 25 Shifters and Counters. Recap
EECS150 - Digital Design Lecture 25 Shifters and Counters Nov. 21, 2013 Prof. Ronald Fearing Electrical Engineering and Computer Sciences University of California, Berkeley (slides courtesy of Prof. John
More informationMathematical Induction
Mathematical Induction MAT231 Transition to Higher Mathematics Fall 2014 MAT231 (Transition to Higher Math) Mathematical Induction Fall 2014 1 / 21 Outline 1 Mathematical Induction 2 Strong Mathematical
More informationKing Fahd University of Petroleum and Minerals College of Computer Science and Engineering Computer Engineering Department
King Fahd University of Petroleum and Minerals College of Computer Science and Engineering Computer Engineering Department Page 1 of 13 COE 202: Digital Logic Design (3-0-3) Term 112 (Spring 2012) Final
More informationPerformance Metrics & Architectural Adaptivity. ELEC8106/ELEC6102 Spring 2010 Hayden Kwok-Hay So
Performance Metrics & Architectural Adaptivity ELEC8106/ELEC6102 Spring 2010 Hayden Kwok-Hay So What are the Options? Power Consumption Activity factor (amount of circuit switching) Load Capacitance (size
More information3. (2) What is the difference between fixed and hybrid instructions?
1. (2 pts) What is a "balanced" pipeline? 2. (2 pts) What are the two main ways to define performance? 3. (2) What is the difference between fixed and hybrid instructions? 4. (2 pts) Clock rates have grown
More informationDigital Electronics II Mike Brookes Please pick up: Notes from the front desk
NOTATION.PPT(10/8/2010) 1.1 Digital Electronics II Mike Brookes Please pick up: Notes from the front desk 1. What does Digital mean? 2. Where is it used? 3. Why is it used? 4. What are the important features
More informationDigital Circuit Engineering
Digital Circuit Engineering 2nd Distributive ( A)( B) = AB Circuits that work in a sequence of steps Absorption A = A A= THESE CICUITS NEED STOAGE TO EMEMBE WHEE THEY AE STOAGE D MU G M MU G S CLK D Flip
More informationParity Checker Example. EECS150 - Digital Design Lecture 9 - Finite State Machines 1. Formal Design Process. Formal Design Process
Parity Checker Example A string of bits has even parity if the number of 1 s in the string is even. Design a circuit that accepts a bit-serial stream of bits and outputs a 0 if the parity thus far is even
More informationFrom Sequential Circuits to Real Computers
1 / 36 From Sequential Circuits to Real Computers Lecturer: Guillaume Beslon Original Author: Lionel Morel Computer Science and Information Technologies - INSA Lyon Fall 2017 2 / 36 Introduction What we
More informationEXPERIMENT Traffic Light Controller
11.1 Objectives EXPERIMENT 11 11. Traffic Light Controller Practice on the design of clocked sequential circuits. Applications of sequential circuits. 11.2 Overview In this lab you are going to develop
More informationCost/Performance Tradeoff of n-select Square Root Implementations
Australian Computer Science Communications, Vol.22, No.4, 2, pp.9 6, IEEE Comp. Society Press Cost/Performance Tradeoff of n-select Square Root Implementations Wanming Chu and Yamin Li Computer Architecture
More information19. Fixed costs and variable bounds
CS/ECE/ISyE 524 Introduction to Optimization Spring 2017 18 19. Fixed costs and variable bounds ˆ Fixed cost example ˆ Logic and the Big M Method ˆ Example: facility location ˆ Variable lower bounds Laurent
More informationMemory Elements I. CS31 Pascal Van Hentenryck. CS031 Lecture 6 Page 1
Memory Elements I CS31 Pascal Van Hentenryck CS031 Lecture 6 Page 1 Memory Elements (I) Combinational devices are good for computing Boolean functions pocket calculator Computers also need to remember
More informationHomework Assignment #1 Solutions EE 477 Spring 2017 Professor Parker
Homework Assignment #1 Solutions EE 477 Spring 2017 Professor Parker Note: + implies OR,. implies AND, ~ implies NOT Question 1: a) (4%) Use transmission gates to design a 3-input OR gate Note: There are
More informationMath 154 :: Elementary Algebra
Math 4 :: Elementary Algebra Section. Additive Property of Equality Section. Multiplicative Property of Equality Section.3 Linear Equations in One-Variable Section.4 Linear Equations in One-Variable with
More informationECEN 248: INTRODUCTION TO DIGITAL SYSTEMS DESIGN. Week 9 Dr. Srinivas Shakkottai Dept. of Electrical and Computer Engineering
ECEN 248: INTRODUCTION TO DIGITAL SYSTEMS DESIGN Week 9 Dr. Srinivas Shakkottai Dept. of Electrical and Computer Engineering TIMING ANALYSIS Overview Circuits do not respond instantaneously to input changes
More informationShift Register Counters
Shift Register Counters Shift register counter: a shift register with the serial output connected back to the serial input. They are classified as counters because they give a specified sequence of states.
More informationCS264: Beyond Worst-Case Analysis Lecture #11: LP Decoding
CS264: Beyond Worst-Case Analysis Lecture #11: LP Decoding Tim Roughgarden October 29, 2014 1 Preamble This lecture covers our final subtopic within the exact and approximate recovery part of the course.
More informationLogic and Computer Design Fundamentals. Chapter 5 Arithmetic Functions and Circuits
Logic and Computer Design Fundamentals Chapter 5 Arithmetic Functions and Circuits Arithmetic functions Operate on binary vectors Use the same subfunction in each bit position Can design functional block
More informationXOR - XNOR Gates. The graphic symbol and truth table of XOR gate is shown in the figure.
XOR - XNOR Gates Lesson Objectives: In addition to AND, OR, NOT, NAND and NOR gates, exclusive-or (XOR) and exclusive-nor (XNOR) gates are also used in the design of digital circuits. These have special
More informationAnalysis of Algorithms [Reading: CLRS 2.2, 3] Laura Toma, csci2200, Bowdoin College
Analysis of Algorithms [Reading: CLRS 2.2, 3] Laura Toma, csci2200, Bowdoin College Why analysis? We want to predict how the algorithm will behave (e.g. running time) on arbitrary inputs, and how it will
More informationHOMEWORK 4 SOLUTIONS TO SELECTED PROBLEMS
HOMEWORK 4 SOLUTIONS TO SELECTED PROBLEMS 1. Chapter 3, Problem 18 (Graded) Let H and K be subgroups of G. Then e, the identity, must be in H and K, so it must be in H K. Thus, H K is nonempty, so we can
More informationSummarizing Measured Data
Summarizing Measured Data 12-1 Overview Basic Probability and Statistics Concepts: CDF, PDF, PMF, Mean, Variance, CoV, Normal Distribution Summarizing Data by a Single Number: Mean, Median, and Mode, Arithmetic,
More informationECE/CS 250 Computer Architecture
ECE/CS 250 Computer Architecture Basics of Logic Design: Boolean Algebra, Logic Gates (Combinational Logic) Tyler Bletsch Duke University Slides are derived from work by Daniel J. Sorin (Duke), Alvy Lebeck
More informationCS264: Beyond Worst-Case Analysis Lecture #15: Smoothed Complexity and Pseudopolynomial-Time Algorithms
CS264: Beyond Worst-Case Analysis Lecture #15: Smoothed Complexity and Pseudopolynomial-Time Algorithms Tim Roughgarden November 5, 2014 1 Preamble Previous lectures on smoothed analysis sought a better
More informationLecture: Pipelining Basics
Lecture: Pipelining Basics Topics: Performance equations wrap-up, Basic pipelining implementation Video 1: What is pipelining? Video 2: Clocks and latches Video 3: An example 5-stage pipeline Video 4:
More informationEECS150 - Digital Design Lecture 27 - misc2
EECS150 - Digital Design Lecture 27 - misc2 May 1, 2002 John Wawrzynek Spring 2002 EECS150 - Lec27-misc2 Page 1 Outline Linear Feedback Shift Registers Theory and practice Simple hardware division algorithms
More informationDiscrete Mathematics for CS Spring 2006 Vazirani Lecture 22
CS 70 Discrete Mathematics for CS Spring 2006 Vazirani Lecture 22 Random Variables and Expectation Question: The homeworks of 20 students are collected in, randomly shuffled and returned to the students.
More informationAdders, subtractors comparators, multipliers and other ALU elements
CSE4: Components and Design Techniques for Digital Systems Adders, subtractors comparators, multipliers and other ALU elements Instructor: Mohsen Imani UC San Diego Slides from: Prof.Tajana Simunic Rosing
More informationSNAP Centre Workshop. Solving Systems of Equations
SNAP Centre Workshop Solving Systems of Equations 35 Introduction When presented with an equation containing one variable, finding a solution is usually done using basic algebraic manipulation. Example
More informationDigital Circuits, Binary Numbering, and Logic Gates Cornerstone Electronics Technology and Robotics II
Digital Circuits, Binary Numbering, and Logic Gates Cornerstone Electronics Technology and Robotics II Administration: o Prayer Electricity and Electronics, Section 20.1, Digital Fundamentals: o Fundamentals:
More informationComputing via boolean logic. COS 116: 3/8/2011 Sanjeev Arora
Computing via boolean logic. COS 116: 3/8/2011 Sanjeev Arora Recap: Boolean Logic Example Ed goes to the party if Dan does not and Stella does. Choose Boolean variables for 3 events: { Each E: Ed goes
More informationLecture 13: Sequential Circuits, FSM
Lecture 13: Sequential Circuits, FSM Today s topics: Sequential circuits Finite state machines Reminder: midterm on Tue 2/28 will cover Chapters 1-3, App A, B if you understand all slides, assignments,
More informationDigital Integrated Circuits A Design Perspective. Arithmetic Circuits. Jan M. Rabaey Anantha Chandrakasan Borivoje Nikolic.
Digital Integrated Circuits A Design Perspective Jan M. Rabaey Anantha Chandrakasan Borivoje Nikolic Arithmetic Circuits January, 2003 1 A Generic Digital Processor MEMORY INPUT-OUTPUT CONTROL DATAPATH
More informationECE20B Final Exam, 200 Point Exam Closed Book, Closed Notes, Calculators Not Allowed June 12th, Name
C20B Final xam, 200 Point xam Closed Book, Closed Notes, Calculators Not llowed June 2th, 2003 Name Guidelines: Please remember to write your name on your bluebook, and when finished, to staple your solutions
More informationUNIT 8A Computer Circuitry: Layers of Abstraction. Boolean Logic & Truth Tables
UNIT 8 Computer Circuitry: Layers of bstraction 1 oolean Logic & Truth Tables Computer circuitry works based on oolean logic: operations on true (1) and false (0) values. ( ND ) (Ruby: && ) 0 0 0 0 0 1
More information15.1 Elimination of Redundant States
15.1 Elimination of Redundant States In Ch. 14 we tried not to have unnecessary states What if we have extra states in the state graph/table? Complete the table then eliminate the redundant states Chapter
More informationArithmetic and Logic Unit First Part
Arithmetic and Logic Unit First Part Arquitectura de Computadoras Arturo Díaz D PérezP Centro de Investigación n y de Estudios Avanzados del IPN adiaz@cinvestav.mx Arquitectura de Computadoras ALU1-1 Typical
More informationWeek-5. Sequential Circuit Design. Acknowledgement: Most of the following slides are adapted from Prof. Kale's slides at UIUC, USA.
Week-5 Sequential Circuit Design Acknowledgement: Most of the following slides are adapted from Prof. Kale's slides at UIUC, USA. Storing a value: SR = 00 What if S = 0 and R = 0? The equations on the
More informationCS 154, Lecture 3: DFA NFA, Regular Expressions
CS 154, Lecture 3: DFA NFA, Regular Expressions Homework 1 is coming out Deterministic Finite Automata Computation with finite memory Non-Deterministic Finite Automata Computation with finite memory and
More informationPartial Fractions. June 27, In this section, we will learn to integrate another class of functions: the rational functions.
Partial Fractions June 7, 04 In this section, we will learn to integrate another class of functions: the rational functions. Definition. A rational function is a fraction of two polynomials. For example,
More informationELE2120 Digital Circuits and Systems. Tutorial Note 10
ELE2120 Digital Circuits and Systems Tutorial Note 10 Outline 1. 1. Sequential Circuit Design 2. 2. Design procedure: a complete example illustration Sequential circuit analysis & design In sequential
More informationCS/COE1541: Introduction to Computer Architecture. Logic Design Review. Sangyeun Cho. Computer Science Department University of Pittsburgh
CS/COE54: Introduction to Computer Architecture Logic Design Review Sangyeun Cho Computer Science Department Logic design? Digital hardware is implemented by way of logic design Digital circuits process
More informationChapter 7: Trigonometric Equations and Identities
Chapter 7: Trigonometric Equations and Identities In the last two chapters we have used basic definitions and relationships to simplify trigonometric expressions and equations. In this chapter we will
More informationChapter 2. Mathematical Reasoning. 2.1 Mathematical Models
Contents Mathematical Reasoning 3.1 Mathematical Models........................... 3. Mathematical Proof............................ 4..1 Structure of Proofs........................ 4.. Direct Method..........................
More informationChapter 7: Trigonometric Equations and Identities
Chapter 7: Trigonometric Equations and Identities In the last two chapters we have used basic definitions and relationships to simplify trigonometric expressions and equations. In this chapter we will
More informationCpE358/CS381. Switching Theory and Logical Design. Summer
Switching Theory and Logical Design - Class Schedule Monday Tuesday Wednesday Thursday Friday May 7 8 9 - Class 2 - Class 2 2 24 - Class 3 25 26 - Class 4 27 28 Quiz Commencement 3 June 2 - Class 5 3 -
More informationModern Computer Architecture
Modern Computer Architecture Lecture1 Fundamentals of Quantitative Design and Analysis (II) Hongbin Sun 国家集成电路人才培养基地 Xi an Jiaotong University 1.4 Trends in Technology Logic: transistor density 35%/year,
More informationDigital Circuit Engineering
Digital Circuit Engineering 2nd Distributive ( + A)( + B) = + AB Circuits that work in a sequence of steps Absorption + A = + A A+= THESE CICUITS NEED STOAGE TO EMEMBE WHEE THEY AE STOAGE D MU G M MU S
More informationA Simple Architectural Enhancement for Fast and Flexible Elliptic Curve Cryptography over Binary Finite Fields GF(2 m )
A Simple Architectural Enhancement for Fast and Flexible Elliptic Curve Cryptography over Binary Finite Fields GF(2 m ) Stefan Tillich, Johann Großschädl Institute for Applied Information Processing and
More information5.2 Polynomial Operations
5.2 Polynomial Operations At times we ll need to perform operations with polynomials. At this level we ll just be adding, subtracting, or multiplying polynomials. Dividing polynomials will happen in future
More informationEECS150 - Digital Design Lecture 23 - FFs revisited, FIFOs, ECCs, LSFRs. Cross-coupled NOR gates
EECS150 - Digital Design Lecture 23 - FFs revisited, FIFOs, ECCs, LSFRs April 16, 2009 John Wawrzynek Spring 2009 EECS150 - Lec24-blocks Page 1 Cross-coupled NOR gates remember, If both R=0 & S=0, then
More informationEECS 150 Homework 8 Solutions Fall Problem 1: CLD2 Problem 8.2, showing BOTH methods (row matching and implication chart).
Problem 1: CLD2 Problem 8.2, showing BOTH methods (row matching and implication chart). Row matching: The state transition table (with one row per state) is: There are no two rows where the next states
More informationNegative Bit Representation Outline
Negative Bit Representation Outline 1. Negative Bit Representation Outline 2. Negative Integers 3. Representing Negativity 4. Which Bit for the Sign? 5. Sign-Value 6. Disadvantages of Sign-Value 7. One
More informationModels for representing sequential circuits
Sequential Circuits Models for representing sequential circuits Finite-state machines (Moore and Mealy) Representation of memory (states) Changes in state (transitions) Design procedure State diagrams
More informationLogic design? Transistor as a switch. Layered design approach. CS/COE1541: Introduction to Computer Architecture. Logic Design Review.
Logic design? CS/COE54: Introduction to Computer rchitecture Digital hardware is implemented by way of logic design Digital circuits process and produce two discrete values: and Example: -bit full adder
More informationSequential Circuit Analysis
Sequential Circuit Analysis Last time we started talking about latches and flip-flops, which are basic one-bit memory units. Today we ll talk about sequential circuit analysis and design. First, we ll
More information