Today s objectives. CSE401: Introduction to Compiler Construction. What is a compiler? Administrative Details. Why study compilers?
|
|
- Gordon Miller
- 5 years ago
- Views:
Transcription
1 CSE401: Itroductio to Compiler Costructio Larry Ruzzo Sprig 2004 Today s objectives Admiistrative details Defie compilers ad why we study them Defie the high-level structure of compilers Associate specific tasks, theories, ad techologies with achievig the differet structural elemets of a compiler Ad build some iitial ituitio about why these are eeded Slides by Chambers, Eggers, Notki, Ruzzo, ad others W.L.Ruzzo & UW CSE Admiistrative Details Course Web: Gradig Homeworks ~20% Project ~40% Midterm ~15% Fial ~25% Project: toy compiler a (almost) real oe. Staged. Optioal teams of 2-3 people. What is a compiler? Compiler Source Code Executable Code A software tool that traslates a program i source code form to a equivalet program i a executable (target) form Coverts from a form good for people to a form good for computers Examples Why study compilers? Source laguages Java C C++ LISP ML COBOL Target architectures MIPS x86 SPARC Alpha C 1
2 CSE401 s project-orieted approach More o the project Start with a compiler for PL/0, writte i C++ We defie additioal laguage features Such as commets, arrays, call-by-referece parameters, result-returig procedures, for loops, etc. You modify the compiler to traslate the exteded PL/0 laguage Project completed i well-defied stages Strogly recommeded that you work i twoperso teams for the quarter Gradig based o correctess clarity of desig ad implemetatio quality of testig Provides experiece with object-orieted desig ad with C++ Provides experiece with workig i a team What's hard about compilig Example I will preset a small program to you, character by character Idetify problems that you ca see that you will ecouter i compilig this program Here s a example problem Whe we see a character 1 followed by a character 7, we have to covert it to the iteger i t 4. _ 5. i 6. ; 7. _ 8. i 9. : 10. = _ 14. ; 15. p 16. r 17. i t 20. ( 21. i 22. * 23. i ) 27. ; _ is the space character This is ot a PL/0 program! Structure of compilers A commo compiler structure has bee defied Years ad years of deep, difficult research itermixed with buildig of thousads of compilers Actual compilers ofte differ from this prototype Primary differeces are the orderig ad clarity with which the pieces are actually separated But the model is still extremely useful You will see the structure to a large degree i the PL/0 compiler Prototype compiler structure Source Stream of characters Sequece of tokes Abstract Sytax Tree (AST) AST+ ad Lexical aalysis Sytactic aalysis Sematic aalysis Storage layout Executable code Itermediate represetatio Code geeratio Optimizatio Target Itermediate represetatio Itermediate code geeratio AST++ ad 2
3 Source stream of characters sequece of tokes abstract sytax tree (AST) AST+ ad Lexical aalysis Sytactic aalysis Sematic aalysis Storage layout Executable code Itermediate represetatio Itermediate represetatio AST++ ad Target Code geeratio Optimizatio Itermediate code geeratio Frot- ad back-ed. These parts are ofte lumped ito two categories The frot-ed Focuses o (repeated) aalysis Determies what the program is The back-ed Focuses o sythesis Produces target program equivalet to source program A example compilatio module mai; var x:it, result: it; procedure square(:it); begi result := *; ed square; begi x := iput; while x <> 0 do square(x); output := result; x := iput; ed; ed mai. A real PL/0 program We ll step through Lexical aalysis Sytactic aalysis Sematic aalysis Storage layout Code geeratio Lexical aalysis (AKA scaig ad tokeizig) Sytactic aalysis (AKA parsig) Read i characters ad clump them ito tokes Idet Also strip out white space ad commets Specify tokes with regular Letter expressios Use fiite state machies to Digit sca Remember the coectio betwee regular expressios ad fiite state machies ::= Letter AlphaNum* Iteger ::= Digit+ AlphaNum ::= Letter Digit ::= a z A Z ::= 0 9 E.g.: While x <> 0 do keywd id op it keywd Tur toke stream ito tree based o the program s sytactic structure Defie sytax usig cotext free grammar (CFG) EBNF is a commo otatio for defiig cocrete sytax Cares about semi-colos, pares, ad such Parser usually costructs AST represetig abstract sytax Cares about statemet structures, precedece ad such Stmt ::= Astmt IfStmt Astmt ::= Lvalue := Expr ; Lvalue ::= Id IfStmt ::= if Test the Stmt [else Stmt] ; Test ::= Expr = Expr Expr < Expr Expr ::= Term + Term Term Term Term Term ::= Factor * Factor Factor Factor ::= - Factor Id It ( Expr ) Lvalue Sytactic aalysis example Stmt Astmt Fact Expr Term Fact Id := Id * Id ; result := * ; Stmt ::= Astmt IfStmt Astmt ::= Lvalue := Expr ; Lvalue ::= Id IfStmt ::= if Test the Stmt [else Stmt] ; Test ::= Expr = Expr Expr < Expr Expr ::= Term + Term Term Term Term Term ::= Factor * Factor Factor Factor ::= - Factor Id It ( Expr ) Sematic aalysis (Name resolutio ad type checkig) Give AST figure out what declaratio each ame refers to perform static cosistecy checks Key data structure: maps ames to iformatio about ame derived from declaratio Sematic aalysis steps Process each scope, top dow Process declaratios i each scope ito for scope Process body of each scope i cotext of 3
4 Sematic aalysis example Storage layout it x; it y(void); it mai(void) { double x,y; x = x + 5; pritf("x is %d",x); x = y(); retur 1/2 ; } Which var with which decl? What type? Operators legal o those types? Coercio? Fuctio arg & retur types too? Overloadig? Goto/case labels uique? Give, determie how ad where variables will be stored at rutime What represetatio is used for each kid of data? How much space does each variable require? I what kid of memory should it be placed? static, global memory stack memory heap memory Where i memory should it be placed? e.g., what stack offset? Storage layout example Code geeratio it x; it y(void); it mai(void) { double x,y; x = x + 5; pritf("x is %d",x); x = y(); retur 1/2 ; } Outer x: 4 bytes, static Ier x,y: 8 bytes each o stack What address? How does pritf fid its parameters? How does mai retur a value? Give aotated AST ad, produce target code Ofte doe as three steps Produce machie-idepedet low-level represetatio of the program (itermediate represetatio or IR) Perform machie-idepedet optimizatios (optioal) Traslate IR ito machie-specific target istructios Istructio selectio Register allocatio Codege example x = x + y; t42 fl x lw $2, 48($fp) t43 fl y lw $3, 52($fp) t44 fl t42 + t43 add $2, $2, $3 x fl t44 x = x * 2;t45 fl x lw $2, 48($fp) t46 fl 2 li $3, 2 t47 fl t45 * t46 mul $2, $2, $3 x fl t47 x += y; t48 fl x lw $2, 48($fp) t49 fl y lw $3, 52($fp) t50 fl t48 + t49 add $2, $2, $3 x fl t50 Optimizatio Ca you see simple chages that would streamlie the code above? How could you fid them automatically? 4
5 Does this structure work well? Compilers vs. iterpreters FORTRAN I Compiler (circa ) 18 perso years PL/0 Compiler By the ed of the quarter, you'll have a workig compiler that's way better tha FORTRAN I i most respects (key exceptio: optimizatio) Compilers implemet laguages by traslatio Iterpreters implemet laguages directly Note: the lie is ot always crystal-clear Compilers ad iterpreters have tradeoffs Executio speed of program Start-up overhead, tur-aroud time Ease of implemetatio mig eviromet facilities Coceptual clarity Compiler egieerig issues Portability Ideal is multiple frot-eds ad multiple back-eds with a shared itermediate laguage Sequecig phases of compilatio Stream-based vs. sytax-directed Multiple, separate passes vs. fewer, itegrated passes How to avoid compiler bugs? Objectives: ext lecture Defie overall theory ad practical structure of lexical aalysis Briefly recap regular expressios, fiite state machies, ad their relatioship Eve briefer recap of the laguage hierarchy Show how to defie tokes with regular expressios Show how to leverage this style of toke defiitio i implemetig a lexer 5
COP4020 Programming Languages. Compilers and Interpreters Prof. Robert van Engelen
COP4020 mig Laguages Compilers ad Iterpreters Prof. Robert va Egele Overview Commo compiler ad iterpreter cofiguratios Virtual machies Itegrated developmet eviromets Compiler phases Lexical aalysis Sytax
More informationCS 11 C track: lecture 1
CS 11 C track: lecture 1 Prelimiaries Need a CMS cluster accout http://acctreq.cms.caltech.edu/cgi-bi/request.cgi Need to kow UNIX IMSS tutorial liked from track home page Track home page: http://courses.cms.caltech.edu/courses/cs11/material
More informationPython Programming: An Introduction to Computer Science
Pytho Programmig: A Itroductio to Computer Sciece Chapter 1 Computers ad Programs 1 Objectives To uderstad the respective roles of hardware ad software i a computig system. To lear what computer scietists
More informationPseudocode ( 1.1) Analysis of Algorithms. Primitive Operations. Pseudocode Details. Running Time ( 1.1) Estimating performance
Aalysis of Algorithms Iput Algorithm Output A algorithm is a step-by-step procedure for solvig a problem i a fiite amout of time. Pseudocode ( 1.1) High-level descriptio of a algorithm More structured
More informationCOP4020 Programming Languages. Functional Programming Prof. Robert van Engelen
COP4020 Programmig Laguages Fuctioal Programmig Prof. Robert va Egele Overview What is fuctioal programmig? Historical origis of fuctioal programmig Fuctioal programmig today Cocepts of fuctioal programmig
More informationChapter 1. Introduction to Computers and C++ Programming. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 1 Itroductio to Computers ad C++ Programmig Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 1.1 Computer Systems 1.2 Programmig ad Problem Solvig 1.3 Itroductio to C++ 1.4 Testig
More informationn Some thoughts on software development n The idea of a calculator n Using a grammar n Expression evaluation n Program organization n Analysis
Overview Chapter 6 Writig a Program Bjare Stroustrup Some thoughts o software developmet The idea of a calculator Usig a grammar Expressio evaluatio Program orgaizatio www.stroustrup.com/programmig 3 Buildig
More informationData Structures and Algorithms. Analysis of Algorithms
Data Structures ad Algorithms Aalysis of Algorithms Outlie Ruig time Pseudo-code Big-oh otatio Big-theta otatio Big-omega otatio Asymptotic algorithm aalysis Aalysis of Algorithms Iput Algorithm Output
More informationChapter 5. Functions for All Subtasks. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 5 Fuctios for All Subtasks Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 5.1 void Fuctios 5.2 Call-By-Referece Parameters 5.3 Usig Procedural Abstractio 5.4 Testig ad Debuggig
More informationSolutions to Final COMS W4115 Programming Languages and Translators Monday, May 4, :10-5:25pm, 309 Havemeyer
Departmet of Computer ciece Columbia Uiversity olutios to Fial COM W45 Programmig Laguages ad Traslators Moday, May 4, 2009 4:0-5:25pm, 309 Havemeyer Closed book, o aids. Do questios 5. Each questio is
More informationRunning Time. Analysis of Algorithms. Experimental Studies. Limitations of Experiments
Ruig Time Aalysis of Algorithms Iput Algorithm Output A algorithm is a step-by-step procedure for solvig a problem i a fiite amout of time. Most algorithms trasform iput objects ito output objects. The
More informationChapter 4. Procedural Abstraction and Functions That Return a Value. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 4 Procedural Abstractio ad Fuctios That Retur a Value Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 4.1 Top-Dow Desig 4.2 Predefied Fuctios 4.3 Programmer-Defied Fuctios 4.4
More informationLast class. n Scheme. n Equality testing. n eq? vs. equal? n Higher-order functions. n map, foldr, foldl. n Tail recursion
Aoucemets HW6 due today HW7 is out A team assigmet Submitty page will be up toight Fuctioal correctess: 75%, Commets : 25% Last class Equality testig eq? vs. equal? Higher-order fuctios map, foldr, foldl
More informationRunning Time ( 3.1) Analysis of Algorithms. Experimental Studies. Limitations of Experiments
Ruig Time ( 3.1) Aalysis of Algorithms Iput Algorithm Output A algorithm is a step- by- step procedure for solvig a problem i a fiite amout of time. Most algorithms trasform iput objects ito output objects.
More informationAnalysis of Algorithms
Aalysis of Algorithms Iput Algorithm Output A algorithm is a step-by-step procedure for solvig a problem i a fiite amout of time. Ruig Time Most algorithms trasform iput objects ito output objects. The
More informationAppendix D. Controller Implementation
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Appedix D Cotroller Implemetatio Cotroller Implemetatios Combiatioal logic (sigle-cycle); Fiite state machie (multi-cycle, pipelied);
More informationChapter 9. Pointers and Dynamic Arrays. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 9 Poiters ad Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 9.1 Poiters 9.2 Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Slide 9-3
More informationCMPT 125 Assignment 2 Solutions
CMPT 25 Assigmet 2 Solutios Questio (20 marks total) a) Let s cosider a iteger array of size 0. (0 marks, each part is 2 marks) it a[0]; I. How would you assig a poiter, called pa, to store the address
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 19 Query Optimizatio Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Query optimizatio Coducted by a query optimizer i a DBMS Goal:
More informationPython Programming: An Introduction to Computer Science
Pytho Programmig: A Itroductio to Computer Sciece Chapter 6 Defiig Fuctios Pytho Programmig, 2/e 1 Objectives To uderstad why programmers divide programs up ito sets of cooperatig fuctios. To be able to
More informationCOSC 1P03. Ch 7 Recursion. Introduction to Data Structures 8.1
COSC 1P03 Ch 7 Recursio Itroductio to Data Structures 8.1 COSC 1P03 Recursio Recursio I Mathematics factorial Fiboacci umbers defie ifiite set with fiite defiitio I Computer Sciece sytax rules fiite defiitio,
More informationChapter 10. Defining Classes. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 10 Defiig Classes Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 10.1 Structures 10.2 Classes 10.3 Abstract Data Types 10.4 Itroductio to Iheritace Copyright 2015 Pearso Educatio,
More information1 Enterprise Modeler
1 Eterprise Modeler Itroductio I BaaERP, a Busiess Cotrol Model ad a Eterprise Structure Model for multi-site cofiguratios are itroduced. Eterprise Structure Model Busiess Cotrol Models Busiess Fuctio
More informationFrom last week. Lecture 5. Outline. Principles of programming languages
Priciples of programmig laguages From last week Lecture 5 http://few.vu.l/~silvis/ppl/2007 Natalia Silvis-Cividjia e-mail: silvis@few.vu.l ML has o assigmet. Explai how to access a old bidig? Is & for
More informationChapter 11. Friends, Overloaded Operators, and Arrays in Classes. Copyright 2014 Pearson Addison-Wesley. All rights reserved.
Chapter 11 Frieds, Overloaded Operators, ad Arrays i Classes Copyright 2014 Pearso Addiso-Wesley. All rights reserved. Overview 11.1 Fried Fuctios 11.2 Overloadig Operators 11.3 Arrays ad Classes 11.4
More informationimplement language system
Outlie Priciples of programmig laguages Lecture 3 http://few.vu.l/~silvis/ppl/2007 Part I. Laguage systems Part II. Fuctioal programmig. First look at ML. Natalia Silvis-Cividjia e-mail: silvis@few.vu.l
More informationAbstract. Chapter 4 Computation. Overview 8/13/18. Bjarne Stroustrup Note:
Chapter 4 Computatio Bjare Stroustrup www.stroustrup.com/programmig Abstract Today, I ll preset the basics of computatio. I particular, we ll discuss expressios, how to iterate over a series of values
More informationClasses and Objects. Again: Distance between points within the first quadrant. José Valente de Oliveira 4-1
Classes ad Objects jvo@ualg.pt José Valete de Oliveira 4-1 Agai: Distace betwee poits withi the first quadrat Sample iput Sample output 1 1 3 4 2 jvo@ualg.pt José Valete de Oliveira 4-2 1 The simplest
More informationGoals of this Lecture Activity Diagram Example
Goals of this Lecture Activity Diagram Example Object-Orieted Aalysis ad Desig - Fall 998 Preset a example activity diagram Ð Relate to requiremets, use cases, ad class diagrams Also, respod to a questio
More informationCSC 220: Computer Organization Unit 11 Basic Computer Organization and Design
College of Computer ad Iformatio Scieces Departmet of Computer Sciece CSC 220: Computer Orgaizatio Uit 11 Basic Computer Orgaizatio ad Desig 1 For the rest of the semester, we ll focus o computer architecture:
More informationOutline and Reading. Analysis of Algorithms. Running Time. Experimental Studies. Limitations of Experiments. Theoretical Analysis
Outlie ad Readig Aalysis of Algorithms Iput Algorithm Output Ruig time ( 3.) Pseudo-code ( 3.2) Coutig primitive operatios ( 3.3-3.) Asymptotic otatio ( 3.6) Asymptotic aalysis ( 3.7) Case study Aalysis
More informationAnalysis Metrics. Intro to Algorithm Analysis. Slides. 12. Alg Analysis. 12. Alg Analysis
Itro to Algorithm Aalysis Aalysis Metrics Slides. Table of Cotets. Aalysis Metrics 3. Exact Aalysis Rules 4. Simple Summatio 5. Summatio Formulas 6. Order of Magitude 7. Big-O otatio 8. Big-O Theorems
More informationLecture 1: Introduction and Strassen s Algorithm
5-750: Graduate Algorithms Jauary 7, 08 Lecture : Itroductio ad Strasse s Algorithm Lecturer: Gary Miller Scribe: Robert Parker Itroductio Machie models I this class, we will primarily use the Radom Access
More informationEE 459/500 HDL Based Digital Design with Programmable Logic. Lecture 13 Control and Sequencing: Hardwired and Microprogrammed Control
EE 459/500 HDL Based Digital Desig with Programmable Logic Lecture 13 Cotrol ad Sequecig: Hardwired ad Microprogrammed Cotrol Refereces: Chapter s 4,5 from textbook Chapter 7 of M.M. Mao ad C.R. Kime,
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 18 Strategies for Query Processig Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio DBMS techiques to process a query Scaer idetifies
More informationUniversity of Waterloo Department of Electrical and Computer Engineering ECE 250 Algorithms and Data Structures
Uiversity of Waterloo Departmet of Electrical ad Computer Egieerig ECE 250 Algorithms ad Data Structures Midterm Examiatio ( pages) Istructor: Douglas Harder February 7, 2004 7:30-9:00 Name (last, first)
More informationtop() Applications of Stacks
CS22 Algorithms ad Data Structures MW :00 am - 2: pm, MSEC 0 Istructor: Xiao Qi Lecture 6: Stacks ad Queues Aoucemets Quiz results Homework 2 is available Due o September 29 th, 2004 www.cs.mt.edu~xqicoursescs22
More informationAbstract Syntax Trees. AST Data Structure. Visitor Interface. Accept methods. Visitor Methodology for AST Traversal CS412/CS413
Abstract Syta Trees CS412/CS413 Itroductio to Copilers Ti Teitelbau Lecture 12: Visitors; Sybol Tables February 18, 2005 Separate AST costructio fro seatic checkig phase Traverse the AST ad perfor seatic
More informationCIS 121 Data Structures and Algorithms with Java Spring Stacks, Queues, and Heaps Monday, February 18 / Tuesday, February 19
CIS Data Structures ad Algorithms with Java Sprig 09 Stacks, Queues, ad Heaps Moday, February 8 / Tuesday, February 9 Stacks ad Queues Recall the stack ad queue ADTs (abstract data types from lecture.
More informationEE University of Minnesota. Midterm Exam #1. Prof. Matthew O'Keefe TA: Eric Seppanen. Department of Electrical and Computer Engineering
EE 4363 1 Uiversity of Miesota Midterm Exam #1 Prof. Matthew O'Keefe TA: Eric Seppae Departmet of Electrical ad Computer Egieerig Uiversity of Miesota Twi Cities Campus EE 4363 Itroductio to Microprocessors
More informationΤεχνολογία Λογισμικού
ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών Τεχνολογία Λογισμικού, 7ο/9ο εξάμηνο 2018-2019 Τεχνολογία Λογισμικού Ν.Παπασπύρου, Αν.Καθ. ΣΗΜΜΥ, ickie@softlab.tua,gr
More informationElementary Educational Computer
Chapter 5 Elemetary Educatioal Computer. Geeral structure of the Elemetary Educatioal Computer (EEC) The EEC coforms to the 5 uits structure defied by vo Neuma's model (.) All uits are preseted i a simplified
More informationAnalysis of Algorithms
Presetatio for use with the textbook, Algorithm Desig ad Applicatios, by M. T. Goodrich ad R. Tamassia, Wiley, 2015 Aalysis of Algorithms Iput 2015 Goodrich ad Tamassia Algorithm Aalysis of Algorithms
More informationAnalysis of Algorithms
Aalysis of Algorithms Ruig Time of a algorithm Ruig Time Upper Bouds Lower Bouds Examples Mathematical facts Iput Algorithm Output A algorithm is a step-by-step procedure for solvig a problem i a fiite
More informationCOMP Parallel Computing. PRAM (1): The PRAM model and complexity measures
COMP 633 - Parallel Computig Lecture 2 August 24, 2017 : The PRAM model ad complexity measures 1 First class summary This course is about parallel computig to achieve high-er performace o idividual problems
More informationn Theory and practice of parsing n Underlying language theory (CFGs,...) n Top-down parsing (and be able to do it)
Objectives: parsig lectures CSE401: Parsig Adrei Alexadrescu Autum 2002 Slides by Chambers, Eggers, Notki, Ruzzo, ad others W.L.Ruzzo & UW CSE 1994-2002 Uderstad: Theory ad practice of parsig Uderlyig
More informationChapter 4 The Datapath
The Ageda Chapter 4 The Datapath Based o slides McGraw-Hill Additioal material 24/25/26 Lewis/Marti Additioal material 28 Roth Additioal material 2 Taylor Additioal material 2 Farmer Tae the elemets that
More informationBehavioral Modeling in Verilog
Behavioral Modelig i Verilog COE 202 Digital Logic Desig Dr. Muhamed Mudawar Kig Fahd Uiversity of Petroleum ad Mierals Presetatio Outlie Itroductio to Dataflow ad Behavioral Modelig Verilog Operators
More informationCS 111 Green: Program Design I Lecture 27: Speed (cont.); parting thoughts
CS 111 Gree: Program Desig I Lecture 27: Speed (cot.); partig thoughts By Nascarkig - Ow work, CC BY-SA 4.0, https://commos.wikimedia.org/w/idex.php?curid=38671041 Robert H. Sloa (CS) & Rachel Poretsky
More informationObjectives: parsing lectures. CSE401: Parsing. Parsing: two jobs. Parsing. CFG terminology. Context-free grammars (CFGs) Understand:
Objectives: parsig lectures CSE401: Parsig Larry Syder Sprig 2003 Slides by Chambers, Eggers, Notki, Ruzzo, Syder ad others L. Syder & UW CSE 1994-2002 Uderstad: Theory ad practice of parsig Uderlyig laguage
More informationCode Review Defects. Authors: Mika V. Mäntylä and Casper Lassenius Original version: 4 Sep, 2007 Made available online: 24 April, 2013
Code Review s Authors: Mika V. Mätylä ad Casper Lasseius Origial versio: 4 Sep, 2007 Made available olie: 24 April, 2013 This documet cotais further details of the code review defects preseted i [1]. of
More informationCOP4020 Programming Languages. Subroutines and Parameter Passing Prof. Robert van Engelen
COP4020 Programmig Laguages Subrouties ad Parameter Passig Prof. Robert va Egele Overview Parameter passig modes Subroutie closures as parameters Special-purpose parameters Fuctio returs COP4020 Fall 2016
More informationCSC165H1 Worksheet: Tutorial 8 Algorithm analysis (SOLUTIONS)
CSC165H1, Witer 018 Learig Objectives By the ed of this worksheet, you will: Aalyse the ruig time of fuctios cotaiig ested loops. 1. Nested loop variatios. Each of the followig fuctios takes as iput a
More information9.1. Sequences and Series. Sequences. What you should learn. Why you should learn it. Definition of Sequence
_9.qxd // : AM Page Chapter 9 Sequeces, Series, ad Probability 9. Sequeces ad Series What you should lear Use sequece otatio to write the terms of sequeces. Use factorial otatio. Use summatio otatio to
More informationChapter 2. C++ Basics. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 2 C++ Basics Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 2.1 Variables ad Assigmets 2.2 Iput ad Output 2.3 Data Types ad Expressios 2.4 Simple Flow of Cotrol 2.5 Program
More informationCMSC Computer Architecture Lecture 12: Virtual Memory. Prof. Yanjing Li University of Chicago
CMSC 22200 Computer Architecture Lecture 12: Virtual Memory Prof. Yajig Li Uiversity of Chicago A System with Physical Memory Oly Examples: most Cray machies early PCs Memory early all embedded systems
More informationChapter 5: Processor Design Advanced Topics. Microprogramming: Basic Idea
5-1 Chapter 5 Processor Desig Advaced Topics Chapter 5: Processor Desig Advaced Topics Topics 5.3 Microprogrammig Cotrol store ad microbrachig Horizotal ad vertical microprogrammig 5- Chapter 5 Processor
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 20 Itroductio to Trasactio Processig Cocepts ad Theory Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Trasactio Describes local
More informationBasic allocator mechanisms The course that gives CMU its Zip! Memory Management II: Dynamic Storage Allocation Mar 6, 2000.
5-23 The course that gives CM its Zip Memory Maagemet II: Dyamic Storage Allocatio Mar 6, 2000 Topics Segregated lists Buddy system Garbage collectio Mark ad Sweep Copyig eferece coutig Basic allocator
More informationLast Class. Announcements. Lecture Outline. Types. Structural Equivalence. Type Equivalence. Read: Scott, Chapters 7 and 8. T2 y; x = y; n Types
Aoucemets HW9 due today HW10 comig up, will post after class Team assigmet Data abstractio (types) ad cotrol abstractio (parameter passig) Due o Tuesday, November 27 th Last Class Types Type systems Type
More informationGoals of the Lecture Object Constraint Language
Goals of the Lecture Object Costrait Laguage Object-Orieted Aalysis ad Desig - Fall 1998 Preset the Object Costrait Laguage Ð As best as possible, with the limited iformatio available from UML i a Nutshell
More informationA SOFTWARE MODEL FOR THE MULTILAYER PERCEPTRON
A SOFTWARE MODEL FOR THE MULTILAYER PERCEPTRON Roberto Lopez ad Eugeio Oñate Iteratioal Ceter for Numerical Methods i Egieerig (CIMNE) Edificio C1, Gra Capitá s/, 08034 Barceloa, Spai ABSTRACT I this work
More informationProgramming with Shared Memory PART II. HPC Spring 2017 Prof. Robert van Engelen
Programmig with Shared Memory PART II HPC Sprig 2017 Prof. Robert va Egele Overview Sequetial cosistecy Parallel programmig costructs Depedece aalysis OpeMP Autoparallelizatio Further readig HPC Sprig
More informationEE260: Digital Design, Spring /16/18. n Example: m 0 (=x 1 x 2 ) is adjacent to m 1 (=x 1 x 2 ) and m 2 (=x 1 x 2 ) but NOT m 3 (=x 1 x 2 )
EE26: Digital Desig, Sprig 28 3/6/8 EE 26: Itroductio to Digital Desig Combiatioal Datapath Yao Zheg Departmet of Electrical Egieerig Uiversity of Hawaiʻi at Māoa Combiatioal Logic Blocks Multiplexer Ecoders/Decoders
More informationRecursion. Computer Science S-111 Harvard University David G. Sullivan, Ph.D. Review: Method Frames
Uit 4, Part 3 Recursio Computer Sciece S-111 Harvard Uiversity David G. Sulliva, Ph.D. Review: Method Frames Whe you make a method call, the Java rutime sets aside a block of memory kow as the frame of
More informationChapter 8. Strings and Vectors. Copyright 2014 Pearson Addison-Wesley. All rights reserved.
Chapter 8 Strigs ad Vectors Overview 8.1 A Array Type for Strigs 8.2 The Stadard strig Class 8.3 Vectors Slide 8-3 8.1 A Array Type for Strigs A Array Type for Strigs C-strigs ca be used to represet strigs
More informationCOMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Part A Datapath Design
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter The Processor Part A path Desig Itroductio CPU performace factors Istructio cout Determied by ISA ad compiler. CPI ad
More informationOutline. Research Definition. Motivation. Foundation of Reverse Engineering. Dynamic Analysis and Design Pattern Detection in Java Programs
Dyamic Aalysis ad Desig Patter Detectio i Java Programs Outlie Lei Hu Kamra Sartipi {hul4, sartipi}@mcmasterca Departmet of Computig ad Software McMaster Uiversity Caada Motivatio Research Problem Defiitio
More informationMath 10C Long Range Plans
Math 10C Log Rage Plas Uits: Evaluatio: Homework, projects ad assigmets 10% Uit Tests. 70% Fial Examiatio.. 20% Ay Uit Test may be rewritte for a higher mark. If the retest mark is higher, that mark will
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 26 Ehaced Data Models: Itroductio to Active, Temporal, Spatial, Multimedia, ad Deductive Databases Copyright 2016 Ramez Elmasri ad Shamkat B.
More informationLecture 5. Counting Sort / Radix Sort
Lecture 5. Coutig Sort / Radix Sort T. H. Corme, C. E. Leiserso ad R. L. Rivest Itroductio to Algorithms, 3rd Editio, MIT Press, 2009 Sugkyukwa Uiversity Hyuseug Choo choo@skku.edu Copyright 2000-2018
More informationLecture 1. Topics. Principles of programming languages (2007) Lecture 1. What makes programming languages such an interesting subject?
Priciples of programmig laguages (2007) Lecture 1 http://few.vu.l/~silvis/ppl/2007 Natalia Silvis-Cividjia e-mail: silvis@few.vu.l Lecture 1. Topics Studet survey Itroductio History of major programmig
More informationTask scenarios Outline. Scenarios in Knowledge Extraction. Proposed Framework for Scenario to Design Diagram Transformation
6-0-0 Kowledge Trasformatio from Task Scearios to View-based Desig Diagrams Nima Dezhkam Kamra Sartipi {dezhka, sartipi}@mcmaster.ca Departmet of Computig ad Software McMaster Uiversity CANADA SEKE 08
More informationCS 111: Program Design I Lecture # 7: First Loop, Web Crawler, Functions
CS 111: Program Desig I Lecture # 7: First Loop, Web Crawler, Fuctios Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago September 18, 2018 What will this prit? x = 5 if x == 3: prit("hi!")
More informationChapter 8. Strings and Vectors. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 8 Strigs ad Vectors Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 8.1 A Array Type for Strigs 8.2 The Stadard strig Class 8.3 Vectors Copyright 2015 Pearso Educatio, Ltd..
More informationExercise 6 (Week 42) For the foreign students only.
These are the last exercises of the course. Please, remember that to pass exercises, the sum of the poits gathered by solvig the questios ad attedig the exercise groups must be at least 4% ( poits) of
More informationMatrix representation of a solution of a combinatorial problem of the group theory
Matrix represetatio of a solutio of a combiatorial problem of the group theory Krasimir Yordzhev, Lilyaa Totia Faculty of Mathematics ad Natural Scieces South-West Uiversity 66 Iva Mihailov Str, 2700 Blagoevgrad,
More informationn Haskell n Syntax n Lazy evaluation n Static typing and type inference n Algebraic data types n Pattern matching n Type classes
Aoucemets Quiz 7 HW 9 is due o Friday Raibow grades HW 1-6 plus 8. Please, read our commets o 8! Exam 1-2 Quiz 1-6 Ay questios/cocers, let us kow ASAP Last Class Haskell Sytax Lazy evaluatio Static typig
More informationStructuring Redundancy for Fault Tolerance. CSE 598D: Fault Tolerant Software
Structurig Redudacy for Fault Tolerace CSE 598D: Fault Tolerat Software What do we wat to achieve? Versios Damage Assessmet Versio 1 Error Detectio Iputs Versio 2 Voter Outputs State Restoratio Cotiued
More informationCSE 417: Algorithms and Computational Complexity
Time CSE 47: Algorithms ad Computatioal Readig assigmet Read Chapter of The ALGORITHM Desig Maual Aalysis & Sortig Autum 00 Paul Beame aalysis Problem size Worst-case complexity: max # steps algorithm
More information. Written in factored form it is easy to see that the roots are 2, 2, i,
CMPS A Itroductio to Programmig Programmig Assigmet 4 I this assigmet you will write a java program that determies the real roots of a polyomial that lie withi a specified rage. Recall that the roots (or
More informationLower Bounds for Sorting
Liear Sortig Topics Covered: Lower Bouds for Sortig Coutig Sort Radix Sort Bucket Sort Lower Bouds for Sortig Compariso vs. o-compariso sortig Decisio tree model Worst case lower boud Compariso Sortig
More informationCIS 121 Data Structures and Algorithms with Java Spring Stacks and Queues Monday, February 12 / Tuesday, February 13
CIS Data Structures ad Algorithms with Java Sprig 08 Stacks ad Queues Moday, February / Tuesday, February Learig Goals Durig this lab, you will: Review stacks ad queues. Lear amortized ruig time aalysis
More informationContextual Analysis. Overview of Lecture 3. Ch 4 Syntactic Analysis. Mededelingen
Overview of Lecture 3 otextual Aalysis Mededelige h 4 Sytactic Aalysis 4.1-3 4.4 Abstract Sytax Trees 4.5-6 VB H3 Vertalerbouw H3 http://fmt.cs.utwete.l/courses/vertalerbouw/! h 5 otextual Aalysis 5.1
More informationWhat are we going to learn? CSC Data Structures Analysis of Algorithms. Overview. Algorithm, and Inputs
What are we goig to lear? CSC316-003 Data Structures Aalysis of Algorithms Computer Sciece North Carolia State Uiversity Need to say that some algorithms are better tha others Criteria for evaluatio Structure
More informationSoftware development of components for complex signal analysis on the example of adaptive recursive estimation methods.
Software developmet of compoets for complex sigal aalysis o the example of adaptive recursive estimatio methods. SIMON BOYMANN, RALPH MASCHOTTA, SILKE LEHMANN, DUNJA STEUER Istitute of Biomedical Egieerig
More informationSolution printed. Do not start the test until instructed to do so! CS 2604 Data Structures Midterm Spring, Instructions:
CS 604 Data Structures Midterm Sprig, 00 VIRG INIA POLYTECHNIC INSTITUTE AND STATE U T PROSI M UNI VERSI TY Istructios: Prit your ame i the space provided below. This examiatio is closed book ad closed
More informationCS553 Lecture Reuse Optimization: Common SubExpr Elim 3
Reuse Optimizatio Last time Value umberig Today Commo subexpressio elimiatio (CSE) CS553 Lecture Reuse Optimizatio: Commo SubExpr Elim 2 Commo Subexpressio Elimiatio Fid commo subexpressios whose rage
More informationCMSC Computer Architecture Lecture 3: ISA and Introduction to Microarchitecture. Prof. Yanjing Li University of Chicago
CMSC 22200 Computer Architecture Lecture 3: ISA ad Itroductio to Microarchitecture Prof. Yajig Li Uiversity of Chicago Lecture Outlie ISA uarch (hardware implemetatio of a ISA) Logic desig basics Sigle-cycle
More informationNTH, GEOMETRIC, AND TELESCOPING TEST
NTH, GEOMETRIC, AND TELESCOPING TEST Sectio 9. Calculus BC AP/Dual, Revised 08 viet.dag@humbleisd.et /4/08 0:0 PM 9.: th, Geometric, ad Telescopig Test SUMMARY OF TESTS FOR SERIES Lookig at the first few
More informationn Maurice Wilkes, 1949 n Organize software to minimize errors. n Eliminate most of the errors we made anyway.
Bjare Stroustrup www.stroustrup.com/programmig Chapter 5 Errors Abstract Whe we program, we have to deal with errors. Our most basic aim is correctess, but we must deal with icomplete problem specificatios,
More informationLecture 5: Recursion. Recursion Overview. Recursion is a powerful technique for specifying funclons, sets, and programs
CS/ENGRD 20 Object- Orieted Programmig ad Data Structures Sprig 202 Doug James Visual Recursio Lecture : Recursio http://seredip.brymawr.edu/exchage/files/authors/faculty/39/literarykids/ifiite_mirror.jpg!
More informationChapter 3 DB-Gateways
Prof. Dr.-Ig. Stefa Deßloch AG Heterogee Iformatiossysteme Geb. 36, Raum 329 Tel. 0631/205 3275 dessloch@iformatik.ui-kl.de Chapter 3 DB-Gateways Outlie Couplig DBMS ad programmig laguages approaches requiremets
More informationCS : Programming for Non-Majors, Summer 2007 Programming Project #3: Two Little Calculations Due by 12:00pm (noon) Wednesday June
CS 1313 010: Programmig for No-Majors, Summer 2007 Programmig Project #3: Two Little Calculatios Due by 12:00pm (oo) Wedesday Jue 27 2007 This third assigmet will give you experiece writig programs that
More informationMorgan Kaufmann Publishers 26 February, COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 5
Morga Kaufma Publishers 26 February, 28 COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 5 Set-Associative Cache Architecture Performace Summary Whe CPU performace icreases:
More informationHigh-Order Language APPLICATION LEVEL HIGH-ORDER LANGUAGE LEVEL ASSEMBLY LEVEL OPERATING SYSTEM LEVEL INSTRUCTION SET ARCHITECTURE LEVEL
Chapter 2 C High-Order Laguage APPLICATION LEVEL HIGH-ORDER LANGUAGE LEVEL 6 ASSEMBLY LEVEL OPERATING SYSTEM LEVEL INSTRUCTION SET ARCHITECTURE LEVEL MICROCODE LEVEL LOGIC GATE LEVEL Figure 2. 7 6 5 4
More informationCS211 Fall 2003 Prelim 2 Solutions and Grading Guide
CS11 Fall 003 Prelim Solutios ad Gradig Guide Problem 1: (a) obj = obj1; ILLEGAL because type of referece must always be a supertype of type of object (b) obj3 = obj1; ILLEGAL because type of referece
More informationModule Instantiation. Finite State Machines. Two Types of FSMs. Finite State Machines. Given submodule mux32two: Instantiation of mux32two
Give submodule mux32two: 2-to- MUX module mux32two (iput [3:] i,i, iput sel, output [3:] out); Module Istatiatio Fiite Machies esig methodology for sequetial logic -- idetify distict s -- create trasitio
More informationThreads and Concurrency in Java: Part 1
Cocurrecy Threads ad Cocurrecy i Java: Part 1 What every computer egieer eeds to kow about cocurrecy: Cocurrecy is to utraied programmers as matches are to small childre. It is all too easy to get bured.
More informationCS 111: Program Design I Lecture 15: Objects, Pandas, Modules. Robert H. Sloan & Richard Warner University of Illinois at Chicago October 13, 2016
CS 111: Program Desig I Lecture 15: Objects, Padas, Modules Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago October 13, 2016 OBJECTS AND DOT NOTATION Objects (Implicit i Chapter 2, Variables,
More information