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Reasoning About Program Transformations: Imperative Programming and Flow of Data - Softcover

 
9781441929815: Reasoning About Program Transformations: Imperative Programming and Flow of Data

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A new book providing a detailed and current presentation of the program analysses and transformations that extract the flow of data in computer memory systems. The emphasis is on a framework for the optimization of code for imperative programs and greater computer systems efficiency. Professionals and researchers in software engineering, computer engineering, program design analysis, and compiler design will benefit from its presentation of data-flow methods and memory optimization of compilers.

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The text contains a detailed and current presentation of the program analyses and transformations that extract the flow of data in computer memory systems. The emphasis is on a framework for the optimization of code for imperative programs and greater computer systems efficiency. In addition, the author shows that correctness of program transformations is guaranteed by the conservation of data flow. Professionals and researchers in software engineering, computer engineering, program design analysis, and compiler design will benefit from its presentation of data-flow methods and memory optimization of compilers.

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9780387953915: Reasoning About Program Transformations: Imperative Programming and Flow of Data

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ISBN 10:  0387953914 ISBN 13:  9780387953915
Verlag: Springer, 2002
Hardcover

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Jean-Francois Collard
Verlag: Springer New York, 2010
ISBN 10: 1441929819 ISBN 13: 9781441929815
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Overview The motivation of this text lies in what we believe is the inadequacy of current frameworks to reason about the ow of data in imperative programs. This inadequacy clearly shows up when dealing with the individual side effects of loop iterations. - deed, we face a paradoxical situation where, on the one hand, a typical program spends most of its execution time iterating or recursing on a few lines of codes, and, on the other hand, current optimization frameworks are clumsy when trying to capture the effects of each incarnation of these few lines-frameworks we inherited from designs made decades ago. The reasons are manyfold, but one of them stands out: The same concepts have been used, on the one hand, to represent and manipulate programs internally in compilers and, on the other hand, to allow us humans to reason about optimizations. Unfortunately, these two uses have different aims and constraints. An example of such a situation is given by control- ow graphs of basic blocks, which have been - tremely useful in practice as an internal representation of programs, but which are not always adequate or convenient to formally think about programs and specify their transformations. In some cases, de nitions based on control- ow graphs can be overly restrictive. Dominance, studied in Chapter 4, is a good example. Artikel-Nr. 9781441929815

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Collard, Jean-Francois
Verlag: Springer, 2010
ISBN 10: 1441929819 ISBN 13: 9781441929815
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Zustand: New. In. Artikel-Nr. ria9781441929815_new

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