Engineering A Compiler

Engineering A Compiler

Hardback Morgan Kaufmann

By (author) Linda Torczon, By (author) Keith Cooper

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  • Publisher: Morgan Kaufmann Publishers In
  • Format: Hardback | 824 pages
  • Dimensions: 196mm x 236mm x 41mm | 1,542g
  • Publication date: 15 March 2011
  • Publication City/Country: San Francisco
  • ISBN 10: 012088478X
  • ISBN 13: 9780120884780
  • Edition: 2, Revised
  • Edition statement: 2nd Revised edition
  • Illustrations note: Approx. 325 illustrations
  • Sales rank: 511,240

Product description

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

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Author information

Dr. Cooper, Professor, Dept. of Computer Science at Rice University, is the leader of the Massively Scalar Compiler Project at Rice, which investigates issues relating to optimization and code generation for modern machines. He is also a member of the Center for High Performance Software Research, the Computer and Information Technology Institute, and the Center for Multimedia Communication -- all at Rice. He teaches courses in Compiler Construction at the undergraduate and graduate level. Linda Torczon is a principal investigator on the Massively Scalar Compiler Project at Rice University, and the Grid Application Development Software Project sponsored by the next Generation Software program of the National Science Foundation. She also serves as the executive director of HiPerSoft and of the Los Alamos Computer Science Institute. Her research interests include code generation, interprocedural dataflow analysis and optimization, and programming environments.

Review quote

"Keith Cooper and Linda Torczon are leading compilers researchers who have also built several state-of-the-art compilers. This book adeptly spans both worlds, by explaining both time-tested techniques and new algorithms, and by providing practical advice on engineering and constructing a compiler. Engineering a Compiler is a rich survey and exposition of the important techniques necessary to build a modern compiler."--Jim Larus, Microsoft Research "The book is well written, and well supported with diagrams, tables, and illustrative examples. It is a suitable textbook for use in a compilers course at the undergraduate or graduate level, where the primary focus of the course is code optimization."--ACM's Computing Reviews.com "This book is a wealth of useful information, prepared didactically, with many helpful hints, historical indications, and suggestions for further reading. It is a helpful working book for undergraduate and intermediate-level students, written by authors with an excellent professional and teaching background. An engineer will use the book as a general reference. For special topics, an ambitious reader will consult more recent publications in the subject area."--ACM's Computing Reviews.com

Table of contents

Chapter 1: Overview of Compilation Chapter 2: Scanners Chapter 3: Parsers Chapter 4: Context Sensitive Analysis Chapter 5: Intermediate Representations Chapter 6: The Procedure Abstraction Chapter 7: Code Shape Chapter 8: Introduction to Optimization Chapter 9: Data-Flow Analysis Chapter 10: Scalar Optimizations Chapter 11: Instruction Selection Chapter 12: Instruction Scheduling Chapter 13: Register Allocation Chapter A: ILOC Chapter B: Data Structures