Engineering: A Compiler

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9780120884780: Engineering: A Compiler

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This entirely revised second edition of Engineering a Compiler is full of technical updates and new material covering the latest developments in compiler technology. In this comprehensive text you will learn important techniques for constructing a modern compiler. Leading educators and researchers Keith Cooper and Linda Torczon combine basic principles with pragmatic insights from their experience building state-of-the-art compilers. They will help you fully understand important techniques such as compilation of imperative and object-oriented languages, construction of static single assignment forms, instruction scheduling, and graph-coloring register allocation.

  • In-depth treatment of algorithms and techniques used in the front end of a modern compiler
  • Focus on code optimization and code generation, the primary areas of recent research and development
  • Improvements in presentation including conceptual overviews for each chapter, summaries and review questions for sections, and prominent placement of definitions for new terms
  • Examples drawn from several different programming languages
  • Changes This Edition

    The second edition of Engineering a Compiler presents both perspectives: big-picture views of the problems in compiler construction and detailed discussions of algorithmic alternatives. In preparing the second edition of Engineering a Compiler, we focused on the usability of the book, both as a textbook and as a reference for professionals. Specifically, we:

    • Improved the flow of ideas to help the student who reads the book sequentially. Chapter introductions explain the purpose of the chapter, lay out the major concepts, and provide a high-level overview of the chapter’s subject matter. Examples have been reworked to provide continuity across chapters. In addition, each chapter begins with a summary and a set of keywords to aid the user who treats Engineering a Compiler as a reference book.
    • Added section reviews and review questions at the end of each major section. The review questions provide a quick check as to whether or not the reader has understood the major points of the section.
    • Moved definitions of key terms into the margin adjacent to the paragraph where they are first defined and discussed.
    • Revised the material on optimization extensively so that it provides broader coverage of the possibilities for an optimizing compiler.

    Compiler development today focuses on optimization and on code generation. A newly hired compiler writer is far more likely to port a code generator to a new processor or modify an optimization pass than to write a scanner or parser. The successful compiler writer must be familiar with current best-practice techniques in optimization, such as the construction of static single-assignment form, and in code generation, such as software pipelining. They must also have the background and insight to understand new techniques as they appear during the coming years.

    Finally, they must understand the techniques of scanning, parsing, and semantic elaboration well enough to build or modify a front end. Our goal for the second edition of Engineering a Compiler has been to create a text and a course that exposes students to the critical issues in modern compilers and provides them with the background to tackle those problems. We have retained, from the first edition, the basic balance of material. Front ends are commodity components; they can be purchased from a reliable vendor or adapted from one of the many open-source systems. At the same time, optimizers and code generators are custom-crafted for particular processors and, sometimes, for individual models, because performance relies so heavily on specific low-level details of the generated code. These facts affect the way that we build compilers today; they should also affect the way that we teach compiler construction.

    Read a Sample Chapter from Engineering a Compiler on "Practical Issues"

    Even with automatic parser generators, the compiler writer must manage several issues to produce a robust, efficient parser for a real programming language. This chapter addresses several issues that arise in practice.

    From the Back Cover:

    Engineering a Compiler Second Edition Keith D. Cooper and Linda Torczon

    "Compilers are a rich area of study, drawing together the whole world of computer science in one, elegant construction. Cooper and Torczon have succeeded in creating a welcoming guide to these software systems, enhancing this new edition with clear lessons and the details you simply must get right, all the while keeping the big picture firmly in view.Engineering a Compileris an invaluable companion for anyone new to the subject."

    --Michael D. Smith, Dean of the Faculty of Arts and Sciences, John H. Finley, Jr. Professor of Engineering and Applied Sciences, Harvard University

    This entirely revised second edition ofEngineering a Compileris full of technical updates and new material covering the latest developments in compiler technology. In this comprehensive text you will learn important techniques for constructing a modern compiler. Leading educators and researchers Keith Cooper and Linda Torczon combine basic principles with pragmatic insights from their experience building state-of-the-art compilers. They will help you fully understand important techniques such as compilation of imperative and object-oriented languages, construction of static single assignment forms, instruction scheduling, and graph-coloring register allocation.

    Features

    • In-depth treatment of algorithms and techniques used in the front end of a modern compiler
    • Focus on code optimization and code generation, the primary areas of recent research and development
    • Improvements in presentation, including conceptual overviews for each chapter, summaries and review questions for sections, and prominent placement of definitions for new terms
    • Examples drawn from several different programming languages, including Java, C, C++, and FORTRAN

    About the Authors

    Keith Cooper Doerr Professor in Computational Engineering Department of Computer Science, Rice University.

    Linda Torczon Senior Research Scientist Department of Computer Science Rice University.

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