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Advanced Compiler Design and Implementation, by Steven Muchnick
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From the Foreword by Susan L. Graham:
This book takes on the challenges of contemporary languages and
architectures, and prepares the reader for the new compiling problems that
will inevitably arise in the future.
The definitive book on advanced compiler design
This comprehensive, up-to-date work examines advanced issues in the design
and implementation of compilers for modern processors. Written for
professionals and graduate students, the book guides readers in designing
and implementing efficient structures for highly optimizing compilers for
real-world languages. Covering advanced issues in fundamental areas of
compiler design, this book discusses a wide array of possible code
optimizations, determining the relative importance of optimizations, and
selecting the most effective methods of implementation.
* Lays the foundation for understanding the major issues of advanced
compiler design
* Treats optimization in-depth
* Uses four case studies of commercial compiling suites to illustrate
different approaches to compiler structure, intermediate-code design, and
optimization―these include Sun Microsystems's compiler for SPARC, IBM's for
POWER and PowerPC, DEC's for Alpha, and Intel's for Pentium an related
processors
* Presents numerous clearly defined algorithms based on actual cases
* Introduces Informal Compiler Algorithm Notation (ICAN), a language devised
by the author to communicate algorithms effectively to people
- Sales Rank: #595998 in Books
- Published on: 1997-08-15
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 1.74" h x 7.59" w x 9.59" l,
- Binding: Hardcover
- 856 pages
Amazon.com Review
Optimizing compilers, which turn human-readable programming languages into the smallest, most efficient machine code possible, are among the most complex pieces of software ever written. Building a compiler is both science and black art and demands an intimate knowledge of data structures, algorithms, high-level programming languages, and processor architectures and their instruction sets. Advanced Compiler Design and Implementation presents a comprehensive and technically up-to-date look at design of real-world compilers for CISC- and RISC-based uni-processor architectures. The author led the advanced compiler design and implementation teams for both Hewlett-Packard's PA-RISC and Sun Microsystems's SPARC processors.
From the Back Cover
From the Foreword by Susan L. Graham:
This book takes on the challenges of contemporary languages and
architectures, and prepares the reader for the new compiling problems that
will inevitably arise in the future.
The definitive book on advanced compiler design
This comprehensive, up-to-date work examines advanced issues in the design
and implementation of compilers for modern processors. Written for
professionals and graduate students, the book guides readers in designing
and implementing efficient structures for highly optimizing compilers for
real-world languages. Covering advanced issues in fundamental areas of
compiler design, this book discusses a wide array of possible code
optimizations, determining the relative importance of optimizations, and
selecting the most effective methods of implementation.
- Lays the foundation for understanding the major issues of advanced
compiler design - Treats optimization in-depth
- Uses four case studies of commercial compiling suites to illustrate
different approaches to compiler structure, intermediate-code design, and
optimization―these include Sun Microsystems's compiler for SPARC, IBM's for
POWER and PowerPC, DEC's for Alpha, and Intel's for Pentium an related
processors - Presents numerous clearly defined algorithms based on actual cases
- Introduces Informal Compiler Algorithm Notation (ICAN), a language devised
by the author to communicate algorithms effectively to people
About the Author
After an early career as a professor of computer science, Steven Muchnick applied his knowledge of compilers as a vital member of the teams that developed two computer architectures, PA-RISC at Hewlett-Packard and SPARC at Sun Microsystems. Upon completion of the initial work on each architecture, he served as the leader of the advanced compiler design and implementation groups for these systems.
Most helpful customer reviews
4 of 5 people found the following review helpful.
A Very Good Starting Point Into Compiler Theory from 1997
By A Customer
My employer owns the book. It is a constant on my shelf. The dragon book is great but there are concepts I did not understand in the classic dragon book until the Muchnick book spelt it out for me.
Also at the end of the book it covers real products and how they implement optimization techniques.
0 of 1 people found the following review helpful.
Where can I find the answers of the exercises in the book?
By baoshan
I love this book, and I want to do the exercises in the book.
Where can I find the answers of the exercises in the book?
Thanks!
10 of 10 people found the following review helpful.
recommended with reservations
By M. Sieweke
I bought this book to help with a compiler I'm writing for personal use. I've had introductory compiler courses, and I was looking for a text to expand my knowledge. I read this book from front to back and learned a lot. However, there were a lot of areas that didn't make sense on first reading. I figured they would become clearer after a re-read. They didn't. Each time I reach a point in my compiler development where I need additional explanation, I return to this book and find that what didn't make sense on a first read doesn't make much more sense the second time around. Or the third.
The problem with this book is that some parts are nearly indecipherable without prior knowledge. They are missing bits of detail that an advanced compiler designer might just "know", but without these details the rest is gibberish for the advanced beginner. For example, the section on iterated dominance frontiers didn't make sense after three readings. I finally pulled up the original paper on the subject, and all was clear. Muchnick had skipped a step in the algorithm.
Another example of missing detail is in the chapter on code generation. Muchnik uses the "=>" symbol without explaining its meaning. Without this detail, much of the section is meaningless. I pulled up a bunch of papers on the subject to try to find what I missed, and now it's clear.
Yet another example - Muchnick uses three kinds of intermediate language/representation (IR) - high-, medium-, and low-level IR. It's pretty obvious what's different between high- and medium-level IR, but his explanation of the difference between medium- and low-level IR is sorely lacking. More examples would have been helpful.
He uses his own programming language for describing the algorithms. This didn't bother me much after I understood the language. But his example code is a confusing mix of verbose and terse. His terse variable and function names make it difficult to grasp what the code is doing without already understanding the algorithm.
The good thing about this book is that it covers a lot of ground. It introduces most of the topics an advanced compiler designer needs to know. But to really grasp all the ideas in this book, you need access to a good computer science library. The bibliography is very good; you can learn a lot from reading the references. I signed up for the ACM Digital Library for just this purpose. If you're a student, you can get access to the ACM Digital Library for less than the price of this book - that's a real bargain.
My recommendation is to buy this book, and be prepared to do additional research to overcome its shortcomings.
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