CSE4305: Compilers for Algorithmic Languages CSE5317: Design and Construction of Compilers

Similar documents
General Course Information. Catalogue Description. Objectives

CSE4305: Compilers for Algorithmic Languages CSE5317: Design and Construction of Compilers

CSE4305: Compilers for Algorithmic Languages CSE5317: Design and Construction of Compilers

ECE573 Introduction to Compilers & Translators

CSE 504: Compiler Design

CS 536. Class Meets. Introduction to Programming Languages and Compilers. Instructor. Key Dates. Teaching Assistant. Charles N. Fischer.

Introduction (1) COMP 520: Compiler Design (4 credits) Alexander Krolik MWF 13:30-14:30, MD 279

Philadelphia University Faculty of Information Technology Department of Computer Science --- Semester, 2007/2008. Course Syllabus

CSCI 565 Compiler Design and Implementation Spring 2014

CS 241 Data Organization using C

CMPE 152 Compiler Design

Compilers for Modern Architectures Course Syllabus, Spring 2015

Important Project Dates

Introduction to Compilers and Language Design Copyright (C) 2017 Douglas Thain. All rights reserved.

CMPE 152 Compiler Design

CS 4120 and 5120 are really the same course. CS 4121 (5121) is required! Outline CS 4120 / 4121 CS 5120/ = 5 & 0 = 1. Course Information

BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE, Pilani Pilani Campus Instruction Division

CMPE 152 Compiler Design

CS/SE 153 Concepts of Compiler Design

COMP 3002: Compiler Construction. Pat Morin School of Computer Science

CS/SE 153 Concepts of Compiler Design

ECE Introduction to Compilers and Translation Engineering

CS415 Compilers Overview of the Course. These slides are based on slides copyrighted by Keith Cooper, Ken Kennedy & Linda Torczon at Rice University

CS Compiler Construction West Virginia fall semester 2014 August 18, 2014 syllabus 1.0

Compilers. Computer Science 431

Compiler Design (40-414)

Data Structures and Algorithms

Office hours: Tuesday and Thursday 3:30-5:00pm. project description, class notes, grades, etc. Web Data Management and XML L1: Introduction 2

CA Compiler Construction

BOSTON UNIVERSITY Metropolitan College MET CS342 Data Structures with Java Dr. V.Shtern (Fall 2011) Course Syllabus

Information. Introduction. Description. Outcome

Introduction. Leonidas Fegaras University of Texas at Arlington. Web Data Management and XML L1: Introduction 1

Translator Design CRN Course Administration CMSC 4173 Spring 2017

CSC488S/CSC2107S - Compilers and Interpreters. CSC 488S/CSC 2107S Lecture Notes

Course and Contact Information. Course Description. Course Objectives

15-411/ Compiler Design

CSCI 201L Syllabus Principles of Software Development Spring 2018

CS202 Compiler Construction. Christian Skalka. Course prerequisites. Solid programming skills a must.

Compilers and Interpreters

San José State University Computer Science Department CS49J, Section 3, Programming in Java, Fall 2015

CSC488S/CSC2107S - Compilers and Interpreters. CSC 488S/CSC 2107S Lecture Notes

Introduction to Programming System Design CSCI 455x (4 Units)

Introduction to Compiler Construction

CS153: Compilers Lecture 1: Introduction

Introduction to Compiler Construction

Course and Contact Information. Course Description. Course Objectives

Compiler Design. Dr. Chengwei Lei CEECS California State University, Bakersfield

CSE 582 Autumn 2002 Exam 11/26/02

Spring 2018 El Camino College E. Ambrosio. Course Syllabus

CST-402(T): Language Processors

CPS352 - DATABASE SYSTEMS. Professor: Russell C. Bjork Spring semester, Office: KOSC 242 x4377

Introduction to Computer Systems

CPSC 2380 Data Structures and Algorithms

Earlier edition Dragon book has been revised. Course Outline Contact Room 124, tel , rvvliet(at)liacs(dot)nl

CS 241 Data Organization. August 21, 2018

Compilers Crash Course

Translator Design CRN Course Administration CMSC 4173 Spring 2018

Course and Unix Intro

Compiler Construction LECTURE # 1

INF 315E Introduction to Databases School of Information Fall 2015

San Jose State University College of Science Department of Computer Science CS151, Object-Oriented Design, Sections 1, 2, and 3, Spring 2018

San José State University Computer Science Department CS157A: Introduction to Database Management Systems Sections 5 and 6, Fall 2015

Working of the Compilers

Syllabus of ENPM 691: Secure Programming in C

Compiler Construction

Important Project Dates

Compilers and Code Optimization EDOARDO FUSELLA

CS 536 Introduction to Programming Languages and Compilers Charles N. Fischer Spring 2015

AE Computer Programming for Aerospace Engineers

Object-Oriented Principles and Practice / C++

PRINCIPLES OF COMPILER DESIGN UNIT I INTRODUCTION TO COMPILERS

C Programming for Engineers Introduction

CS426 Compiler Construction Fall 2006

San Jose State University College of Science Department of Computer Science CS151, Object-Oriented Design, Sections 1,2 and 3, Spring 2017

CSE 114, Computer Science 1 Course Information. Spring 2017 Stony Brook University Instructor: Dr. Paul Fodor

Undergraduate Compilers in a Day

CSCI 6312 Advanced Internet Programming

Compiler construction

Object-Oriented Programming for Managers

Principles of Compiler Construction ( )

Introduction to UNIX

INF5110 Compiler Construction

CS131: Programming Languages and Compilers. Spring 2017

CS350 : Operating Systems. General Assignment Information

Administrivia. Compilers. CS143 10:30-11:50TT Gates B01. Text. Staff. Instructor. TAs. The Purple Dragon Book. Alex Aiken. Aho, Lam, Sethi & Ullman

CS350 : Operating Systems. General Assignment Information

Course introduction. Advanced Compiler Construction Michel Schinz

ISM 324: Information Systems Security Spring 2014

CSE 401/M501 Compilers

CPS352 Database Systems Syllabus Fall 2012

Finding People and Information (1) G53CMP: Lecture 1. Aims and Motivation (1) Finding People and Information (2)

SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY

COMP 412, Fall 2018 Lab 1: A Front End for ILOC

Overview of the Class

! Broaden your language horizons! Different programming languages! Different language features and tradeoffs. ! Study how languages are implemented

PLAGIARISM. Administrivia. Compilers. CS143 11:00-12:15TT B03 Gates. Text. Staff. Instructor. TAs. Office hours, contact info on 143 web site

Formal Languages and Compilers Lecture I: Introduction to Compilers

COMP251: Algorithms and Data Structures. Jérôme Waldispühl School of Computer Science McGill University

Compiler Theory Introduction and Course Outline Sandro Spina Department of Computer Science

CS 432 Fall Mike Lam, Professor. Compilers. Advanced Systems Elective

Transcription:

CSE4305: Compilers for Algorithmic Languages CSE5317: Design and Construction of Compilers Leonidas Fegaras CSE 5317/4305 L1: Course Organization and Introduction 1

General Course Information Instructor: Leonidas Fegaras Office: ERB 653 (Engineering Research Bldg) Phone: (817) 272-3629 Email: fegaras@cse.uta.edu Office hours: Tuesday and Thursday 3:30-5:00pm Course web page: https://lambda.uta.edu/cse5317/ CSE 5317/4305 L1: Course Organization and Introduction 2

Catalogue Description Review of programming language structures, translation, and storage allocation. Introduction to context-free grammars and their description. Design and construction of compilers including lexical analysis, parsing and code generation techniques. Error analysis and simple code optimizations will be introduced. CSE 5317/4305 L1: Course Organization and Introduction 3

Objectives The goal of this course is to give a working knowledge of the basic techniques used in the implementation of modern programming languages. The course is centered around a substantial programming project: implementing a complete compiler for a realistic language. Students successfully completing this course will be able to apply the theory and methods learned during the course to design and implement optimizing compilers for most programming languages. CSE 5317/4305 L1: Course Organization and Introduction 4

Outcome Upon successful completion of this course, students will gain an in-depth understanding of many theoretical and practical aspects of modern compiler technology, including scanning, parsing, type-checking, code generation and optimization, and storage allocation; will have the skills to design and implement practical optimizing compilers for programming languages. CSE 5317/4305 L1: Course Organization and Introduction 5

Reasons to Take this Course To understand better programming languages (principles & semantics) computer architecture and machine code structure the relation between source programs and generated machine code To get a good balance of theory & practice To complete a substantial programming project (a compiler for a realistic language) to get programming experience and become a better programmer CSE 5317/4305 L1: Course Organization and Introduction 6

Prerequisites Prerequisites: CSE3302 (Programming Languages) CSE3315 (Theoretical Concepts) CSE3322 (Computer Architecture I) Students must: have knowledge and programming experience with Java; be familiar with the functions of modern computer architectures and be able to program in an assembly language; be familiar with data structure concepts and algorithms (such as lists, trees, sorting, hashing, etc). Students without adequate preparation are at substantial risk of failing this course. CSE 5317/4305 L1: Course Organization and Introduction 7

Textbook Required Textbook and Notes: Andrew W. Appel: Modern Compiler Implementation in Java, Second Edition. Cambridge University Press, 2002. Lecture Notes will be available at https://lambda.uta.edu/cse5317/ Lecture slides are based on notes You may find the following texts useful for additional background and explanation: A. V. Aho, M. S. Lam., R. Sethi, and J. D. Ullman: Compilers: Principles, Techniques, and Tools, 2 nd edition, (this is the classic red "Dragon" book), Addison-Wesley, 2007. C. Fischer, R Cytron, and R. LeBlanc, Crafting a Compiler. Bejamin/Cummings, 2009. CSE 5317/4305 L1: Course Organization and Introduction 8

Grading The final grade will be based on 40% project 25% midterm exam 35% final exam (comprehensive) The course work will be the same for graduates and undergraduates. Final grades will be assigned according to the following scale: A: score >= 90 B: 80 <= score < 90 C: 70 <= score < 80 D: 60 <= score < 70 F: score < 60 Sometimes, I use lower cutoff points, depending on the overall performance of the class. After the first grades are posted, you can check your grades online at the course web page. CSE 5317/4305 L1: Course Organization and Introduction 9

Reading Assignments Completing reading assignments before the class period in which the material is discussed is essential to success in this class. Not all the assigned material will be covered in class, but you will be responsible for it on exams. CSE 5317/4305 L1: Course Organization and Introduction 10

Exams Both exams are open textbook (only the class required textbook) and open notes (all notes must be securely bound in one notebook). The final exam will cover the material from the first lecture up to and including the last lecture. Once the exam grades are posted, you will have 10 business days to dispute your grade and get your exam re-evaluated. Before you request for re-evaluation, make sure to compare your answer with the solution. No re-evaluation will be entertained after the 10 day period. No makeup exams will be given unless there is a justifiable reason (such as illness, sickness or death in the family). If you miss an exam and you can prove that your reason is justifiable, you should arrange with the instructor to take the makeup exam within a week from the regular exam time. For any other case, you will get a zero grade for the missed exam. CSE 5317/4305 L1: Course Organization and Introduction 11

Project The course project is to construct a compiler for a small programming language and will involve: lexical analysis, parsing, semantic analysis (type-checking), and code generation for a MIPS architecture. Details will be given out in class the third week of the course. This project will be done in Java. You may use your own PC. The project is to be completed in seven stages spaced throughout the term and will be done individually. Submissions must be done electronically using the class web site Late assignments will be marked 20 points off per day (out of 100 max). So, there is no point submitting a project report more than 4 days late! This penalty cannot be waived, unless there was a case of illness or other substantial impediment beyond your control, with proof in documents from the school. CSE 5317/4305 L1: Course Organization and Introduction 12

Cheating Project assignments must be done individually. No copying is permitted. Cheating involves giving assistance to or receiving assistance from other students or from other individuals, copying material from the web, etc. I strictly adhere to the University of Texas at Arlington rules and guidelines for handling violations of academic dishonesty. Please refer to the pamphlet "CHEATING: Definitions and Consequences" for additional Information. If any one is caught for cheating, or indulge in plagiarism or collusion on a programming assignment or on a exam, the grade for the entire course will be an automatic Fail grade (F). You are required to sign and return the statement about academic dishonesty CSE 5317/4305 L1: Course Organization and Introduction 13

Special Accommodations If you require an accommodation based on disability, I would like to meet with you in the privacy of my office, during the first week of the semester, to make sure you are appropriately accommodated. CSE 5317/4305 L1: Course Organization and Introduction 14

Project The project will be done individually. The course project is to construct a compiler for a small programming language, called PCAT. It will involve: lexical analysis parsing semantic analysis (type checking) code generation for a MIPS architecture. The project is to be completed in seven stages spaced throughout the term. CSE 5317/4305 L1: Course Organization and Introduction 15

Survival Tips Start working on programming assignments as soon as they are handed out. Do not wait till the day before the deadline. You will see that assignments take much more time when you work on them under pressure than when you are more relaxed. Design carefully before you code. Writing a well-designed piece of code is always easier than starting with some code that "almost works" and adding patches to make it "really work". CSE 5317/4305 L1: Course Organization and Introduction 16

Platform and Tools You will do your project on your own PC (under Linux, Windows, Mac OS X, etc) or on omega at UTA You have to use Java JDK 6 (JDK 7 may not work) There are many on-line manuals for Java (see the project web page) To make coding easier in Java, you are required to use the Gen package to build abstract syntax trees and intermediate representation trees. You will also use a MIPS code simulator, called SPIM, to run the assembly code generated by your compiler To install the project on your own Linux/Mac OS/Windows PC: install Sun's JDK 6 (the Java runtime/compiler) install SPIM (the MIPS emulator) download the project and compile it CSE 5317/4305 L1: Course Organization and Introduction 17

Program Grading Programs will be graded according to their correctness, style, and readability. Programs should behave as specified in the assignment handouts. Bad data should be handled gracefully; your program should never have run-time errors like dereferencing a null pointer or using an out-of-bounds index. Special cases should be handled correctly. Unnecessarily inefficient algorithms or constructs should be avoided; however, efficiency should never be pursued at the expense of clarity or simplicity. Programs should be well documented, modular, and flexible, i.e. easy to modify. Indentation should reflect program structure. Use meaningful identifiers. CSE 5317/4305 L1: Course Organization and Introduction 18

Program Grading (cont.) Avoid static variables and side effects as much as possible. You should never use side effects during the semantic actions of a parser. The grader should be able to understand the program without undue strain. I will provide some test programs, but these programs will not test your compiler exhaustively. It is your responsibility to test every statement in your program by some piece of test data. Thorough testing is essential to establish the reliability of your code. Don't even think about adding fancy features until the required work is completely debugged. A correctly working simple program is worth much more (both in this class and in actual practice) than a fancy program with bugs. CSE 5317/4305 L1: Course Organization and Introduction 19

Cheating Project assignments must be done individually. No copying is permitted. Cheating involves giving assistance to or receiving assistance from other students or from other individuals, copying material from the web, etc. You are required to use the Gen package for tree construction and pattern matching. It will be taken as cheating if you use your own data structures or interface (since this would mean that you have copied the code from elsewhere). The punishment for cheating is a zero in the assignment and will be subject to the university's academic dishonesty policy. If you have any questions regarding an assignment, see the instructor or teaching assistant. CSE 5317/4305 L1: Course Organization and Introduction 20

Deliverables Project phases: Lexical Analysis: worth 6% of your project grade. Parsing: worth 14% of your project grade. Abstract Syntax: worth 14% of your project grade. Type-Checking: worth 18% of your project grade. Simple IRs: worth 18% of your project grade. Rest of IRs: worth 16% of your project grade. Instruction Selection: worth 14% of your project grade. The due time of each project is the midnight of the indicated due day You will hand-in your project source code electronically You may hand-in your source files as many times as you want; only the last one will be taken into account Late projects will be marked 20 points off per day (out of 100 max). So, there is no point submitting a project more than 4 days late! CSE 5317/4305 L1: Course Organization and Introduction 21

Solution There is a solution jar archive Solution.jar It provides all the classes (obfuscated), so you can compare the output of your program with that of the solution. For each project phase, you can compare the output of your program with that of the solution. You can run the solution PCAT compiler over a test PCAT program, say tests/hanoi.pcat, using the command solution 7 hanoi inside your project directory. If you mess up a project phase you can still do the next project phases by removing the appropriate source files from your directory. That way, the missing classes will be copied from the Solution.jar file, rather than compiled from your sources. CSE 5317/4305 L1: Course Organization and Introduction 22

What is a Compiler? We will mostly study: high-level source code compiler low-level machine code eg, Java program eg, MIPS code easy to understand user-friendly syntax many high-level programming constructs machine-independent variables, procedures, classes,... hard to understand specific to hardware registers & unnamed locations CSE 5317/4305 L1: Course Organization and Introduction 23

Architecture Compiler: source program assembly code machine code machine code compiler assembler linker loader result libraries data Interpreter: source program interpreter result data Java uses both a compiler (javac) and an interpreter (java) CSE 5317/4305 L1: Course Organization and Introduction 24

Many Other Translators Source Language Translator Target Language LaTeX Text Formater PostScript SQL database query optimizer Query Evaluation Plan Java javac compiler Java byte code Java cross-compiler C++ code English text Natural Lang Understanding semantics (meaning) Regular Expressions JLex scanner generator a scanner in Java BNF of a language CUP parser generator a parser in Java CSE 5317/4305 L1: Course Organization and Introduction 25

Challenges Many variations: many programming languages (eg, FORTRAN, C++, Java) many programming paradigms (eg, object-oriented, functional, logic) many computer architectures (eg, MIPS, SPARC, Intel, alpha) many operating systems (eg, Linux, Solaris, Windows) CSE 5317/4305 L1: Course Organization and Introduction 26

Qualities of a Compiler the compiler itself must be bug-free it must generate correct machine code the generated machine code must run fast the compiler itself must run fast (compilation time must be proportional to program size) the compiler must be portable (ie, modular, supporting separate compilation) it must print good diagnostics and error messages the generated code must work well with existing debuggers CSE 5317/4305 L1: Course Organization and Introduction 27

Challenges Building a compiler requires knowledge of programming languages (parameter passing, variable scoping, memory allocation, etc) theory (automata, context-free languages, etc) algorithms and data structures (hash tables, graph algorithms, dynamic programming, etc) computer architecture (assembly programming) software engineering CSE 5317/4305 L1: Course Organization and Introduction 28

Addressing Portability Suppose you want to write compilers from m source languages to n computer platforms. A naïve solution requires n*m programs: C++ MIPS Java SPARC Pentium FORTRAN PowerPC but we can do it with n+m programs: C++ FE BE MIPS Java SPARC FE IR BE BE Pentium FE FORTRAN PowerPC BE IR: Intermediate Representation FE: Front-End CSE 5317/4305 L1: Course Organization and Introduction BE: Back-End 29

Phases A typical real-world compiler usually has multiple phases The front-end consists of the following phases: scanning: a scanner groups input characters into tokens parsing: a parser recognizes sequences of tokens according to some grammar and generates Abstract Syntax Trees (ASTs) semantic analysis: performs type checking and translates ASTs into IRs optimization: optimizes IRs The back-end consists of the following phases: instruction selection: maps IRs into assembly code code optimization: optimizes the assembly code using control-flow and data-flow analyses, register allocation, etc code emission: generates machine code from assembly code CSE 5317/4305 L1: Course Organization and Introduction 30