Optimizing Compilers for Modern Architectures: A Dependence-based Approach (Hardcover)

by Randy Allen (Author), Ken Kennedy (Author) "The past two decades have been exciting ones for high-performance computing..." (more)
Key Phrases: doit flag, deletable edges, fixup code, Ardent Titan, Banerjee Inequality, Enhancing Fine-Grained Parallelism (more...)

Editorial Reviews

Review
"Compilers are the Queen of Computing Science and Technology. They have long been the bridge from applications to systems, but now they determine which architectural features should be implemented in new hardware, as well as which new language features will be effective for software developers.
The authors write from great experience as innovators and developers of the field. This book is a very comprehensive treatment of optimization for cache management, vectorization, parallelization, and more. The title refers to Modern Architectures and indeed the subject matter is applicable from desktop systems to the world's fastest supercomputers. The examples are drawn from Fortran, but the theory applies to many programming languages. I think the book will serve as an excellent textbook as well as a much used reference for software developers."
David Kuck, Intel

" This book makes an extremely valuable contribution to the field of compilation by presenting the fundamental basics in compiling technology for high performance computing systems. The authors provide careful and thorough descriptions of the analyses, including data and control dependences and interprocedural analysis, and the code transformations that can be applied as a result of the analyses. The book covers a comprehensive range of important topics needed to compile for high performance systems. The organization and structure of the book as well as the clear writing style make it an excellent text book, highly valuable reference book and a useful guide for implementing the techniques."
Mary Lou Soffa, University of Pittsburgh

"The much awaited book by Randy Allen, a leading practitioner and Ken Kennedy, a pioneer in compiler research provides a skillful encapsulation of the results of more than 30 years of research and development in restructuring compilers a significant part of which was done by the authors. The combination of staged introduction of each topic with the aid of examples and the detailed algorithmic layout of each optimization make this text an outstanding reference for the expert as well as for new students of the topic. This book constitutes yet the most complete and rich text of compiler optimization fundamentals and algorithms, an invaluable resource for researchers, educators and compiler developer."
Constantine Polychronopoulos, University of Illinois Urbana-Champaign

"Kennedy and Allen take a unique approach in this book. They focus on how compilation techniques work together to make practical program analysis and optimization algorithms for achieving good performance on parallel machines, whereas previous texts focus on the specific techniques. Every compiler writer should have a copy of this insightful and lively book in their library!"
Kathryn S McKinley, University of Texas at Austin

"Dependence analysis is at the core of a huge class of program transformations and optimizations, including cache management, exploiting parallelism, and many many others. The authors have provided information that is essential to practicing professionals in the area of high-performance computer architecture. An indispensable reference."
Rohit Chandra, NARUS Inc. -- Review

Review
"Compilers are the Queen of Computing Science and Technology. They have long been the bridge from applications to systems, but now they determine which architectural features should be implemented in new hardware, as well as which new language features will be effective for software developers.
The authors write from great experience as innovators and developers of the field. This book is a very comprehensive treatment of optimization for cache management, vectorization, parallelization, and more. The title refers to Modern Architectures and indeed the subject matter is applicable from desktop systems to the world's fastest supercomputers. The examples are drawn from Fortran, but the theory applies to many programming languages. I think the book will serve as an excellent textbook as well as a much used reference for software developers."
-David Kuck, Intel

" This book makes an extremely valuable contribution to the field of compilation by presenting the fundamental basics in compiling technology for high performance computing systems. The authors provide careful and thorough descriptions of the analyses, including data and control dependences and interprocedural analysis, and the code transformations that can be applied as a result of the analyses. The book covers a comprehensive range of important topics needed to compile for high performance systems. The organization and structure of the book as well as the clear writing style make it an excellent text book, highly valuable reference book and a useful guide for implementing the techniques."
-Mary Lou Soffa, University of Pittsburgh

"The much awaited book by Randy Allen, a leading practitioner and Ken Kennedy, a pioneer in compiler research provides a skillful encapsulation of the results of more than 30 years of research and development in restructuring compilers - a significant part of which was done by the authors. The combination of staged introduction of each topic with the aid of examples and the detailed algorithmic layout of each optimization make this text an outstanding reference for the expert as well as for new students of the topic. This book constitutes yet the most complete and rich text of compiler optimization fundamentals and algorithms, an invaluable resource for researchers, educators and compiler developer."
-Constantine Polychronopoulos, University of Illinois Urbana-Champaign

"Kennedy and Allen take a unique approach in this book. They focus on how compilation techniques work together to make practical program analysis and optimization algorithms for achieving good performance on parallel machines, whereas previous texts focus on the specific techniques. Every compiler writer should have a copy of this insightful and lively book in their library!"

-Kathryn S McKinley, University of Texas at Austin

"Dependence analysis is at the core of a huge class of program transformations and optimizations, including cache management, exploiting parallelism, and many many others. The authors have provided information that is essential to practicing professionals in the area of high-performance computer architecture. An indispensable reference."
-Rohit Chandra, NARUS Inc.

See all Editorial Reviews

Product Details

• Hardcover: 816 pages
• Publisher: Morgan Kaufmann; 1st edition (October 22, 2001)
• Language: English
• ISBN-10: 1558602860
• ISBN-13: 978-1558602861
• Product Dimensions: 9.3 x 7.5 x 1.6 inches
• Shipping Weight: 3.3 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars See all reviews (4 customer reviews)
• Amazon.com Sales Rank: #382,936 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

14 of 14 people found the following review helpful:

5.0 out of 5 stars An excellent book on loop based optimization, April 14, 2003

By	Ian Kaplan (Livermore, CA) - See all my reviews (REAL NAME)

Randy Allen and Ken Kennedy are famous for their contributions
to compiler design theory. This book is a clearly written
discussion of the issues involving loop optimization and
dependence analysis. While this book also covers scalar
optimization issues, it is naturally complemented by Steven
S. Muchnick's excellent book "Advanced Compiler Design and
Implementation".

Randy Allen has spent many years implementing a variety of
compilers for supercomputers and hardware design languages.
While Ken Kennedy has published seminal theoretical work on
compiler optimization, he has also been involved in hands on
implementation as well. The experience of these two authors
results in a book which covers the huge body of knowledge in
compiler optimization and provides this knowledge in a
practical form that can be used by software engineers working
on compiler design.

For anyone working on modern compilers that require sophisticated
optimization features, this is an important reference work.
As with Muchnick's book, I have owned this since it was first
published. Rereading it reminds me of what a gem this work is.

11 of 11 people found the following review helpful:

5.0 out of 5 stars Finally, everything in one place., February 5, 2003

By A Customer

As a researcher in the field, this book was immediately useful to me. Nearly every source code transformation and optimization technique that I'm aware of is present in this book, which often saves sifting through stacks of papers or looking for an elusive reference. If you're looking for a book to teach you the basics of how compilers work, it certainly is not the appropriate place to begin, but if you already have one good book on that then this book will make an excellent companion to it. It was slightly annoying that the book comes with two loose pages, one errata list and another to tape over a page early in the book, but that's what you get with 1st editions. Overall it's very good and the errors are very minor typos as opposed to factual goofs.

4 of 4 people found the following review helpful:

5.0 out of 5 stars Very readable, very specific, August 10, 2005

By	Robert Mykland - See all my reviews (REAL NAME)

This book is a very thorough look through all the ways you can extract and use parallelism and data dependencies advantageously in an optimized compiler, depending on your target architecture. As one example, this book contains every imaginable way to deal with arrays and loops and the maddeningly complex data dependancies that can result from their various interminglings. The book is refreshingly easy to read and contains pseudo-code and step-by-step examples everywhere you'd want to see them.