Jean-Paul Tremblay Paul G. Sorenson. "This Reprint o/The Theory and Practice o/Compiler Writing, originally published in U.S.A. by McGraw Hill, Inc. Programming Languages Translators Model of a Compiler Bibliography. This book is intended as a text for a one- or two-semester course in compiler The theory and practice of compiler writing / Jean-Paul Tremblay, Paul G. Contributor: Sorenson, Paul G. Digital Description: application/pdf, MB, 36 p. : ill. The theory and practice of compiler writing McGraw-Hill computer science series. Material. Type. Book. Language English. Title. The theory and practice of.

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The Theory and Practice of Compiler Writing by Jean-Paul Tremblay, Paul G. Sorenson Download eBook The Theory and Practice of Compiler. Theory And Practice Of Compiler Writing constructivism in theory and practice: toward a better - 2 constructivism in practice and theory: toward a better. THE THEORY AND PRACTICE OF COMPILER WRITING Download The Theory And Practice Of Compiler. Writing ebook PDF or Read Online books in PDF.

A good code optimizer can produce as good or even better code than an experienced assembly-language programmer. Optimization techniques are the topic of Chaps. The model of a compiler given in Fig.

In certain compilers, however, some of these phases are combined. In our discussion of this model the details are omitted on how the five processes interact with each other. Let us examine some possible interactions between the lexical and syntax analyzers.

One possibility is that the scanner generates a token for the syntax analyzer for processing. The syntax analyzer then "calls" the scanner when the next token is required. Another possibility is for the scanner to produce all the tokens corresponding to the source program before passing control to the syntax analyzer.

In this case the scanner has examined the entire source program-this is called a separate pass. Some compilers make as little as one pass while other compilers have been known to make more than 30 passes e. Factors which influence the number of passes to be used in a particular compiler include the following: 1.

The Theory and Practice of Compiler Writing

In these compilers very little if any code optimization is performed. The reason for this is the belief that programs will be compiled. Such programs are often executed orice and discarded.

Also the semantic-analyzer and code-generation phases are invariably combined into one phase. Great emphasis is placed on debugging, error detection, error recovery, and diagnostic capabilities.

Certain source languages, however, cannot be compiled in a single pass.

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In particular, the optimization phase may require that several passes of the source program or its intermediate form be made. In addition, the optimization phase is often spread throughout the other passes of the compilation process e.

Other combinations are possible. Sometimes the syntax-analyzer, semanticanalyzer, and code-generation phases can be combined into a single phase.

Error recovery is most closely associated with the syntax-analysis phase. The aim of error recovery is to prolong the compilation life of the program as long as possible before the compiler "gives up" on the source program. A strategy that is often adopted is that if at all possible, the object program is executed. This approach can reduce the number of times a source program has to be compiled before becoming error-free.

We attach significant importance to this topic in this book.

In particular, Chap. Also, particular strategies for different parsing techniques are illustrated in Chaps. Another aspect of compiling which has been ignored in the current discussion deals with the various symbol tables that must be created and maintained during the executions of the required object program. The topic of symbol tables is presented in Chap.

Also, certain language constructs in the source language imply that several data structures must be stored and maintained in the memory of the computer. The design and implementation of these structures is called run-time organization and implementation or storage management. For blockstructured languages, string-oriented languages such as SNOBOL, and languages which permit the declaration and manipulation of programmer-defined data structures, the run-time considerations are very significant and complex.

Details of these problems are dealt with in Chap. In closing, a comment on the relative difficulty of implementing each of the phases in Fig. Skip to content. Permalink Dismiss Join GitHub today GitHub is home to over 31 million developers working together to host and review code, manage projects, and build software together.

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Trakhtenbrot Algorithms and Complexity - Herbert S. Computer Science without a computer Data Structures - Prof. Annotated Reference with Examples - G.

Barnett and L. Mehlhorn et al. Bergmann Compiler Design: Models, Learning, and Inference - Simon J. Temporal Database Management - Christian S. An Introduction Draft - Richard S. Sutton, Andrew G. Beezer Advanced Algebra - Anthony W. Grinstead and J. Downey Think Stats: Probability and Statistics for Programmers - Allen B.

A Quickstart guide - Paul Swartout, Packt. Edward Lavieri, Packt. Pretty Darn Quick: Selected Essays of Richard M. Gabriel Open Advice: Downey Think OS: Horning , and David B. Some subsequent versions of XPL used on University of Toronto internal projects utilized an SLR 1 parser, but those implementations have never been distributed.

Yacc[ edit ] Yacc is a parser generator loosely, compiler-compiler , not to be confused with lex , which is a lexical analyzer frequently used as a first stage by Yacc.

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Yacc was developed by Stephen C. Johnson worked on Yacc in the early s at Bell Labs. Because Yacc was the default compiler generator on most Unix systems, it was widely distributed and used. Derivatives such as GNU Bison are still in use. The compiler generated by Yacc requires a lexical analyzer. Lexical analyzer generators, such as lex or flex are widely available. Main article: metacompiler Metacompilers differ from parser generators, taking as input a program written in a metalanguage.

Their input consists grammar analyzing formula and code production transforms that output executable code. Many can be programmed in their own metalanguage enabling them to compile themselves, making them self-hosting extensible language compilers.

Many metacompilers build on the work of Dewey Val Schorre. It also translated to one of the earliest instances of a virtual machine.

Theory Practice Compiler Writing by Tremblay Jean Paul

Lexical analysis was performed by built token recognizing functions:. Quoted strings in syntax formula recognize lexemes that are not kept. Tree transform operations in the syntax formula produce abstract syntax trees that the unparse rules operate on. The unparse tree pattern matching provided peephole optimization ability. CWIC , described in a ACM publication is a third generation Schorre metacompiler that added lexing rules and backtracking operators to the grammar analysis.

CWIC also provided binary code generation into named code sections. Single and multipass compiles could be implemented using CWIC. Later generations are not publicly documented. One important feature would be the abstraction of the target processor instruction set, generating to a pseudo machine instruction set, macros, that could be separately defined or mapped to a real machine's instructions. Optimizations applying to sequential instructions could then be applied to the pseudo instruction before their expansion to target machine code.

Cross compilation[ edit ] A cross compiler runs in one environment but produces object code for another. Cross compilers are used for embedded development, where the target computer has limited capabilities.

ZCODE is a register-based intermediate language. Optimizing compilers[ edit ] Compiler optimization is the process of improving the quality of object code without changing the results it produces. The developers of the first FORTRAN compiler aimed to generate code that was better than the average hand-coded assembler, so that customers would actually use their product.

In one of the first real compilers, they often succeeded. Frances E. Allen , working alone and jointly with John Cocke , introduced many of the concepts for optimization. Allen's paper, Program Optimization, [38] introduced the use of graph data structures to encode program content for optimization.

Her paper with Cocke, A Catalogue of Optimizing Transformations, [42] provided the first description and systematization of optimizing transformations. Her and papers on interprocedural data flow analysis extended the analysis to whole programs. This work established the feasibility and structure of modern machine- and language-independent optimizers.

Schwartz , published early in , devoted more than pages to optimization algorithms. It included many of the now familiar techniques such as redundant code elimination and strength reduction. It was invented by William M. This type of optimizer depended, in this case, upon knowledge of 'weaknesses' in the standard IBM COBOL compiler, and actually replaced or patched sections of the object code with more efficient code.AI Memo 39 [6] This technique is only possible when an interpreter already exists for the very same language that is to be compiled.

Conway and Thomas R. Earley parser[ edit ] In , Jay Earley invented what came to be known as the Earley parser. Downey Think OS: Now eval Statements.

Design before you code. Now when a piece of grammar is identified, it calls an AST hook and passes in the necessary data to construct a node.

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