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Advanced Compiler Design and Implementation
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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.
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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 designTreats optimization in-depthUses 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 processorsPresents numerous clearly defined algorithms based on actual casesIntroduces Informal Compiler Algorithm Notation (ICAN), a language devised by the author to communicate algorithms effectively to people
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Product details
Hardcover: 856 pages
Publisher: Morgan Kaufmann; 1 edition (August 15, 1997)
Language: English
ISBN-10: 1558603204
ISBN-13: 978-1558603202
Product Dimensions:
7.8 x 1.8 x 9.8 inches
Shipping Weight: 3.7 pounds
Average Customer Review:
3.6 out of 5 stars
18 customer reviews
Amazon Best Sellers Rank:
#1,200,517 in Books (See Top 100 in Books)
Dated. I picked it up to learn Mesa, which still uses these older methods. SSA is the modern paradigm, and this book does not cover it adequately.
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!
Compiler development is more of a craft than a science, although there's plenty of science involved. It involves huge numbers of tradeoffs in features, optimizations, and use of the underlying processor. But, as long as people keep coming up with new computing platforms (and not just instruction set processors), new languages, and new performance demands there will always be need for new compiler developers. If you can't apprentice yourself to masters of the craft, or even if you can, this book is a great introduction 2000-era compiler development.Muchnik does a clear, thorough job of laying out the basics, starting with the intermediate representation used. (If you get that wrong, nothing else is going to work.) He then moves on to the basics of symbol table structure - an issue that can get immensely complicated in systems like Microsoft's CLR. He also discusses run time support briefly. Although that discussion is good as far as it goes, it skips past a lot of the complexities of dynamic loading, debug symbol tables, simulation support, and related issues. They aren't strictly part of the compiled, executable code, but responsibilities of the compiler developer nonetheless. Next comes a brief description of code generation, crucial in normal environments but tangential to my own needs.That's just the first quarter of the book, though. The rest is the real meat of the topic: code analysis and optimization techniques, over 600 pages of discussion. It's way too much to summarize here, but even that just an introduction to a huge technology. Still, you have to start somewhere.By this point, you may be asking "But what about tokens, lexemes, and grammars? Isn't that what compilers do?" Well, yes, but it's done. Tool developers have made lexical analysis a commodity. The easily automated tasks are not where modern compiler distinguishes itself. This book addresses the semantic levels, getting the reader into the shallow end of the industry's huge pool of specialized compilation knowledge.If you have to self-teach compiler development - good luck. Start here, though, and luck will have a lot less to do with the outcome.//wiredweird
I have been working on language processors, interpreters andcompilers for almost twenty years. I try to order all the booksthat have something unique to say about compiler design andimplementation. This is one of the best books I have seen onadvanced compiler design. I have owned it since it was firstpublished. Going back and rereading it I am reminded of whatand excellent book it is, which is what motivated this review.Advanced compiler design deals with various forms of optimization,including local, global and loop optimization. This is a complextopic with thirty years of research behind it (it is interestingto note that the late Gary Kildall, of CP/M fame, did some earlywork on optiimization in the early 1970s). No single book canprovide complete coverage of all optimization issues. However,this book, along with Allen and Kennedy's equally excellent"Optimizing Compilers for Modern Architectures" covers almosteverything you need to know.One of the problems with the academic literature on compileroptimization is that it can be unnecessarily obscure. Muchnickwrites clearly, with the implementer in mind. He provides awide range of techniques, allowing the implementer to choosethe correct one for a given compiler. This approach is bothuseful and necessary: there is no single method for buildinga compiler, given the range of languages and design objectives.Muchnick covers everything you need to know about local andglobal scalar optimization, including scalar optimization inloops and optimization for modern processor architecture.The only thing missing is an indepth coverage of loop dependenceand optimization techniques, which is provided by Allen andKennedy.If you are working on the design, implementation or extension ofa modern compiler, this book should be part of your library.
This is a very good intermediate/advanced text for codegen & optimization.Having spent nearly 15 years working on compiler development, with most of it spent on codegen & optimization in compiler backends, I was very happy to see this book published ten years ago when I was relatively new to the field and hungry for more information.The good: Coverage of many important topics, and a better discussion of the phase ordering issues than I've seen in other texts.The bad: The writing style is okay, but not great. Little insight is typically given for the problems discussed. A very annoying aspect of the book is that the author sometimes goes into great detail about one technique, and then later mentions another (often superior, IMO) way to solve the problem at hand, without going into much detail. As a working compiler writer, I would have preferred it be the other way around.The very very bad: The ICAN notation used throughout the book is verbose, unintuitive, and ultimately takes away from the presentation. Compare the complicated detail-filled ICAN listings in this book to the simple, elegant algorithms in the Dragon Book or Cooper/Torczon's text.
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