Compilers:Principles, Techniques, and Tools: International Edition - Alfred Aho - 9780321491695 - Pearson - Pearson Schweiz AG - Der Fachverlag fuer Bildungsmedien - 978-0-3214-9169-5

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Compilers:Principles, Techniques, and Tools: International Edition

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Titel:   Compilers:Principles, Techniques, and Tools: International Edition
Reihe:   Prentice Hall
Autor:   Alfred V. Aho / Monica S. Lam / Ravi Sethi / Jeffrey D. Ullman
Verlag:   Pearson
Einband:   Softcover
Auflage:   2
Sprache:   Englisch
Seiten:   1000
Erschienen:   Februar 2007
ISBN13:   9780321491695
ISBN10:   0-321-49169-6
Status:   Der Titel ist leider nicht mehr lieferbar. Sorry, This title is no longer available. Malheureusement ce titre est épuisé.
 
Ersatztitel:
ISBNTitelAuflageEinbandErscheintVerfügbarPreis
9781292024349 Compilers: Pearson New International Edition:Principles, Techniques, and Tools 2 Softcover 07.2013
ca. 7-9 Tage
114.40

Compilers:Principles, Techniques, and Tools: International Edition

Description

Compilers: Principles, Techniques and Tools, known to professors, students, and developers worldwide as the "Dragon Book," is available in a new edition.  Every chapter has been completely revised to reflect developments in software engineering, programming languages, and computer architecture that have occurred since 1986, when the last edition published.  The authors, recognizing that few readers will ever go on to construct a compiler, retain their focus on the broader set of problems faced in software design and software development.

 

New chapters include:  

 

Chapter 10 Instruction-Level Parallelism

Chapter 11 Optimizing for Parallelism and Locality

Chapter 12 Interprocedural Analysis


Features

  • Introduces the theory and practice of compiler design.
  • Covers topics like context-free grammars, fine state machines, and syntax-directed translation.
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New to this Edition

  • All new chapter on Interprocedural analysis, written by world-renowned computer scientist, Monica S.Lam.

 

  • Presents the Five Methods for Translation to explain syntax-directed translation.
  • Illustrates new techniques for data-flow analysis that emphasize the unity of code optimization and other program analysis software.
  • Uses code optimization to work with parallel machines.
  • Explains just-in-time compiling with programming languages such as Java.
  • Discusses garbage collection.
  • Brings all new material together through new case studies.
  • Includes additional practice and tests comprehension of important concepts with Gradiance an online homework and tutorial system.Please note, Gradiance is no longer available with this book.
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Table of Contents

1  Introduction

1.1 Language Processors

1.2 The Structure of a Compiler

1.3 The Evolution of Programming Languages

1.4 The Science of Building a Compiler

1.5 Applications of Compiler Technology

1.6 Programming Language Basics

1.7 Summary of Chapter 1

1.8 References for Chapter 1

 

2 A Simple Syntax-Directed Translator  

2.1 Introduction

2.2 Syntax Definition  

2.3 Syntax-Directed Translation

2.4 Parsing

2.5 A Translator for Simple Expressions  

2.6 Lexical Analysis  

2.7 Symbol Tables

2.8 Intermediate Code Generation

2.9 Summary of Chapter 2

 

3 Lexical Analysis

3.1 The Role of the Lexical Analyzer

3.2 Input Buffering  

3.3 Specification of Tokens

3.4 Recognition of Tokens

3.5 The Lexical-Analyzer Generator Lex

3.6 Finite Automata

3.7 From Regular Expressions to Automata

3.8 Design of a Lexical-Analyzer Generator

3.9 Optimization of DFA-Based Pattern Matchers  

3.10 Summary of Chapter 3

3.11 References for Chapter 3

 

4 Syntax Analysis

4.1 Introduction

4.2 Context-Free Grammars

4.3 Writing a Grammar

4.4 Top-Down Parsing  

4.5 Bottom-Up Parsing

4.6 Introduction to LR Parsing: Simple LR

4.7 More Powerful LR Parsers

4.8 Using Ambiguous Grammars

4.9 Parser Generators

4.10 Summary of Chapter 4  

4.11 References for Chapter 4

 

5 Syntax-Directed Translation

5.1 Syntax-Directed Definitions

5.2 Evaluation Orders for SDD's  

5.3 Applications of Syntax-Directed Translation

5.4 Syntax-Directed Translation Schemes

5.5 Implementing L-Attributed SDD's  

5.6 Summary of Chapter 5

5.7 References for Chapter 5  

 

6 Intermediate-Code Generation

6.1 Variants of Syntax Trees  

6.2 Three-Address Code

6.3 Types and Declarations

6.4 Translation of Expressions  

6.5 Type Checking  

6.6 Control Flow

6.7 Backpatching

6.8 Switch-Statements

6.9 Intermediate Code for Procedures  

6.10 Summary of Chapter 6

6.11 References for Chapter 6

 

7 Run-Time Environments

7.1 Storage Organization  

7.2 Stack Allocation of Space

7.3 Access to Nonlocal Data on the Stack  

7.4 Heap Management  

7.5 Introduction to Garbage Collection  

7.6 Introduction to Trace-Based Collection

7.7 Short-Pause Garbage Collection

7.8 Advanced Topics in Garbage Collection

7.9 Summary of Chapter 7

7.10 References for Chapter 7

 

8 Code Generation

8.1 Issues in the Design of a Code Generator

8.2 The Target Language

8.3 Addresses in the Target Code  

8.4 Basic Blocks and Flow Graphs

8.5 Optimization of Basic Blocks

8.6 A Simple Code Generator

8.7 Peephole Optimization  

8.8 Register Allocation and Assignment  

8.9 Instruction Selection by Tree Rewriting  

8.10 Optimal Code Generation for Expressions

8.11 Dynamic Programming Code-Generation

8.12 Summary of Chapter 8  

8.13 References for Chapter 8  

 

9 Machine-Independent Optimizations

9.1 The Principal Sources of Optimization

9.2 Introduction to Data-Flow Analysis

9.3 Foundations of Data-Flow Analysis  

9.4 Constant Propagation  

9.5 Partial-Redundancy Elimination

9.6 Loops in Flow Graphs

9.7 Region-Based Analysis

9.8 Symbolic Analysis

9.9 Summary of Chapter 9

9.10 References for Chapter 9

 

10 Instruction-Level Parallelism

10.1 Processor Architectures

10.2 Code-Scheduling Constraints

10.3 Basic-Block Scheduling

10.4 Global Code Scheduling

10.5 Software Pipelining

10.6 Summary of Chapter 10  

10.7 References for Chapter 10

 

11 Optimizing for Parallelism and Locality  

11.1 Basic Concepts

11.2 Matrix Multiply: An In-Depth Example

11.3 Iteration Spaces

11.4 Affine Array Indexes  

11.5 Data Reuse

11.6 Array Data-Dependence Analysis

11.7 Finding Synchronization-Free Parallelism

11.8 Synchronization Between Parallel Loops

11.9 Pipelining

11.10 Locality Optimizations

11.11 Other Uses of Affine Transforms  

11.12 Summary of Chapter 11

11.13 References for Chapter 11

 

12 Interprocedural Analysis  

12.1 Basic Concepts  

12.2 Why Interprocedural Analysis?

12.3 A Logical Representation of Data Flow  

12.4 A Simple Pointer-Analysis Algorithm

12.5 Context-Insensitive Interprocedural Analysis

12.6 Context-Sensitive Pointer Analysis

12.7 Datalog Implementation by BDD's

12.8 Summary of Chapter 12

12.9 References for Chapter 12

 

A  A Complete Front End

A.1 The Source Language

A.2 Main

A.3 Lexical Analyzer

A.4 Symbol Tables and Types

A.5 Intermediate Code for Expressions  

A.6 Jumping Code for Boolean Expressions

A.7 Intermediate Code for Statements

A.8 Parser  

A.9 Creating the Front End

 

B Finding Linearly Independent Solutions

Index  

 

 

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Author

Alfred V. Aho is Lawrence Gussman Professor of Computer Science at Columbia University. Professor Aho has won several awards including the Great Teacher Award for 2003 from the Society of Columbia Graduates and the IEEE John von Neumann Medal.  He is a member of the National Academy of Engineering and a fellow of the ACM and IEEE.

 

Monica S. Lam is a Professor of Computer Science at Stanford University, was the Chief Scientist at Tensilica and the founding CEO of moka5. She led the SUIF project which produced one of the most popular research compilers, and pioneered numerous compiler techniques used in industry.

 

Ravi Sethi launched the research organization in Avaya and is president of Avaya Labs.  Previously, he was a senior vice president at Bell Labs in Murray Hill and chief technical officer for communications software at Lucent Technologies. He has held teaching positions at the Pennsylvania State University and the University of Arizona, and has taught at Princeton University and Rutgers.  He is a fellow of the ACM.

 

Jeffrey Ullman is CEO of Gradiance and a Stanford W. Ascherman Professor of Computer Science at Stanford University. His research interests include database theory, database integration, data mining, and education using the information infrastructure.  He is a member of the National Academy of Engineering, a fellow of the ACM, and winner of the Karlstrom Award and Knuth Prize.

 

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