Compilers

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出版者:Addison Wesley
作者:Alfred V. Aho
出品人:
页数:1000
译者:
出版时间:2006-9-10
价格:USD 186.80
装帧:Hardcover
isbn号码:9780321486813
丛书系列:
图书标签:
  • 编译原理
  • compiler
  • 计算机科学
  • 计算机
  • 编译器
  • compilers
  • 编程
  • 经典
  • 编译器
  • 计算机科学
  • 编程语言
  • 软件工程
  • 算法
  • 语言处理
  • 前端编译
  • 代码生成
  • 优化技术
  • 语法分析
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具体描述

This book provides the foundation for understanding the theory and pracitce of compilers. Revised and updated, it reflects the current state of compilation. 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. Computer scientists, developers, and aspiring students that want to learn how to build, maintain, and execute a compiler for a major programming language.

作者简介

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.

目录信息

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
· · · · · · (收起)

读后感

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大学的时候没有学过这门功课。前一段时间项目需要,咬牙看了近两百页,对编译原理有了个初步的认识,项目也得以顺利进行。这本书虽然翻译的有些地方不尽如人意,但是还是非常值得一读的。我在读的时候感觉就像在一座金山里面诱惑不断,但不能不承认,这本书读起来真费劲。。。  

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书本身的内容无可挑剔,特别是后面讲优化的时候让人叹为观止.对于编译优化给出了一些不失新颖性的详细实现方法.但是翻译水平实在不行,把这么好的一本书翻译的没法看,特别是KMP算法那里说来说去不知所云,造成了非常不好的阅读体验.作为出版社来说,把这么经典,这么重要的一本书交...  

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大学里面的课本,大多数都是一个稍微浓缩了的编译原理讲解,老师基本上还是要看看这本红龙书才敢讲课的。 如果说这本书有什么优点,那么可以这么说,很多编译原理的书都有很多错误,这些错误是因为他们的算法和这本书的不太一样。有些取了捷径。不是说算法不对,而是没有讲明...  

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看了有关静态分析的几章,书中有相关算法的讲解,非常细致。总的感觉是适合本科生教学,研究生可能会觉得它有点罗嗦,不够直截了当,切入主题。  

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这诚然是一本好书。 但是翻译的的着实费解又晦涩。 事实上不是因为原文难懂,而是翻译的时候,译者很多地方没有按照中文的阅读习惯来翻译。 如果把原文拿来对照,当真是极好的。 其实,我很想说有很多地方翻译错了,但是忽然又觉得是不是因为自己汉语理解能力太差了,所以茫然...  

用户评价

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虽然Compiler看的是Pro. Hilfinger的讲义 姑且也标记一下吧……这块是难得还挺看的下去的底层 指不准哪天又想看了

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明了了全书整体思路,和大部分章节的话题和深度。着重阅读了CPU,寄存器,多核体系的部分。不愧是龙书。

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大而全,偏理论化。

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读了一半到CG 有机会再读下一半

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Be a dragon slayer~~~wayaya

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