Automatic Data Flow Analysis Of Computer Programs
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Author | : Eric Randall Griggs |
Publisher | : |
Total Pages | : 244 |
Release | : 1973 |
Genre | : Computer programming |
ISBN | : |
Download Automatic data flow analysis of computer programs Book in PDF, Epub and Kindle
Author | : Matthew S. Hecht |
Publisher | : North-Holland |
Total Pages | : 264 |
Release | : 1977 |
Genre | : Computers |
ISBN | : |
Download Flow Analysis of Computer Programs Book in PDF, Epub and Kindle
Author | : University of Hong Kong. Centre of Computer Studies and Applications |
Publisher | : |
Total Pages | : 28 |
Release | : 1984 |
Genre | : COBOL (Computer program language) |
ISBN | : |
Download COD - an automated data flow analysis system for Cobol programs Book in PDF, Epub and Kindle
Author | : Uday Khedker |
Publisher | : CRC Press |
Total Pages | : 395 |
Release | : 2017-12-19 |
Genre | : Computers |
ISBN | : 0849332516 |
Download Data Flow Analysis Book in PDF, Epub and Kindle
Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to software engineering and verification. Modern compilers apply it to produce performance-maximizing code, and software engineers use it to re-engineer or reverse engineer programs and verify the integrity of their programs. Supplementary Online Materials to Strengthen Understanding Unlike most comparable books, many of which are limited to bit vector frameworks and classical constant propagation, Data Flow Analysis: Theory and Practice offers comprehensive coverage of both classical and contemporary data flow analysis. It prepares foundations useful for both researchers and students in the field by standardizing and unifying various existing research, concepts, and notations. It also presents mathematical foundations of data flow analysis and includes study of data flow analysis implantation through use of the GNU Compiler Collection (GCC). Divided into three parts, this unique text combines discussions of inter- and intraprocedural analysis and then describes implementation of a generic data flow analyzer (gdfa) for bit vector frameworks in GCC. Through the inclusion of case studies and examples to reinforce material, this text equips readers with a combination of mutually supportive theory and practice, and they will be able to access the author’s accompanying Web page. Here they can experiment with the analyses described in the book, and can make use of updated features, including: Slides used in the authors’ courses The source of the generic data flow analyzer (gdfa) An errata that features errors as they are discovered Additional updated relevant material discovered in the course of research
Author | : Steven S. Muchnick |
Publisher | : Prentice Hall |
Total Pages | : 454 |
Release | : 1981 |
Genre | : Computers |
ISBN | : |
Download Program Flow Analysis Book in PDF, Epub and Kindle
"Presents a series of tutorial and research papers on the applications of flow analysis, as well as its methods and underlying theory." -- Preface.
Author | : Matthew Sterling Hecht |
Publisher | : |
Total Pages | : 150 |
Release | : 1973 |
Genre | : Algorithms |
ISBN | : |
Download Global Data Flow Analysis of Computer Programs Book in PDF, Epub and Kindle
Author | : F. T. Chan |
Publisher | : |
Total Pages | : 23 |
Release | : 1984 |
Genre | : AID (Computer program) |
ISBN | : |
Download AIDA - A data flow analysis system for Pascal programs Book in PDF, Epub and Kindle
Author | : A.W. Biermann |
Publisher | : Springer Science & Business Media |
Total Pages | : 379 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9400970196 |
Download Computer Program Synthesis Methodologies Book in PDF, Epub and Kindle
powerful operations on them. An early step in this direction was the development of APl, and more recent examples have been SETl which enables a user to code in terms of mathematical enti ties such as sets and BDl which allows a user, presumably a businessman, to specify a computation in terms of a series of tabular forms and a series of processing paths through which data flows. The design and implementation of such languages are examined in chapters by P. GOLDBERG. Another extension to traditional methods is made possible by systems designed to automatically handle low level flow-of control decisions. All the above higher level languages do this implicitly with their built in operators. PROLOG is a language which does this with a theorem proving mechanism employing primarily unification and backtracking. The programmer specifies the problem to be solved with a set of formal logic statements including a theorem to be proved. The theorem proving system finds a way to combine the axioms to prove the theorem, and in the process, it completes the desired calculation. H. GAllAIRE has contributed a chapter describing PROLOG giving many examples of its usage.
Author | : Steven Weng-Kiang Tjiang |
Publisher | : |
Total Pages | : 298 |
Release | : 1993 |
Genre | : |
ISBN | : |
Download Automatic Generation of Data-flow Analyzers Book in PDF, Epub and Kindle
Author | : Samuel P. Midkiff |
Publisher | : Morgan & Claypool Publishers |
Total Pages | : 172 |
Release | : 2012 |
Genre | : Computers |
ISBN | : 1608458415 |
Download Automatic Parallelization Book in PDF, Epub and Kindle
Compiling for parallelism is a longstanding topic of compiler research. This book describes the fundamental principles of compiling regular numerical programs for parallelism. We begin with an explanation of analyses that allow a compiler to understand the interaction of data reads and writes in different statements and loop iterations during program execution. These analyses include dependence analysis, use-def analysis and pointer analysis. Next, we describe how the results of these analyses are used to enable transformations that make loops more amenable to parallelization, and discuss transformations that expose parallelism to target shared memory multicore and vector processors. We then discuss some problems that arise when parallelizing programs for execution on distributed memory machines. Finally, we conclude with an overview of solving Diophantine equations and suggestions for further readings in the topics of this book to enable the interested reader to delve deeper into the field. Table of Contents: Introduction and overview / Dependence analysis, dependence graphs and alias analysis / Program parallelization / Transformations to modify and eliminate dependences / Transformation of iterative and recursive constructs / Compiling for distributed memory machines / Solving Diophantine equations / A guide to further reading