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Published by Springer Vieweg 2014-10, 2014
ISBN 10: 3658075961 ISBN 13: 9783658075965
Language: English
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Published by Vieweg + Teubner Verlag, 2014
ISBN 10: 3658075961 ISBN 13: 9783658075965
Language: English
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Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Okt 2014, 2014
ISBN 10: 3658075961 ISBN 13: 9783658075965
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Add to basketTaschenbuch. Condition: Neu. Neuware -Numerical programs often use parallel programming techniques such as OpenMP to compute the program's output values as efficient as possible. In addition, derivative values of these output values with respect to certain input values play a crucial role. To achieve code that computes not only the output values simultaneously but also the derivative values, this work introduces several source-to-source transformation rules. These rules are based on a technique called algorithmic differentiation. The main focus of this work lies on the important reverse mode of algorithmic differentiation. The inherent data-flow reversal of the reverse mode must be handled properly during the transformation. The first part of the work examines the transformations in a very general way since pragma-based parallel regions occur in many different kinds such as OpenMP, OpenACC, and Intel Phi. The second part describes the transformation rules of the most important OpenMP constructs.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 420 pp. Englisch.
Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658075961 ISBN 13: 9783658075965
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Numerical programs often use parallel programming techniques such as OpenMP to compute the program's output values as efficient as possible. In addition, derivative values of these output values with respect to certain input values play a crucial role. To achieve code that computes not only the output values simultaneously but also the derivative values, this work introduces several source-to-source transformation rules. These rules are based on a technique called algorithmic differentiation. The main focus of this work lies on the important reverse mode of algorithmic differentiation. The inherent data-flow reversal of the reverse mode must be handled properly during the transformation. The first part of the work examines the transformations in a very general way since pragma-based parallel regions occur in many different kinds such as OpenMP, OpenACC, and Intel Phi. The second part describes the transformation rules of the most important OpenMP constructs.
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Published by Springer Fachmedien Wiesbaden Okt 2014, 2014
ISBN 10: 3658075961 ISBN 13: 9783658075965
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Numerical programs often use parallel programming techniques such as OpenMP to compute the program's output values as efficient as possible. In addition, derivative values of these output values with respect to certain input values play a crucial role. To achieve code that computes not only the output values simultaneously but also the derivative values, this work introduces several source-to-source transformation rules. These rules are based on a technique called algorithmic differentiation. The main focus of this work lies on the important reverse mode of algorithmic differentiation. The inherent data-flow reversal of the reverse mode must be handled properly during the transformation. The first part of the work examines the transformations in a very general way since pragma-based parallel regions occur in many different kinds such as OpenMP, OpenACC, and Intel Phi. The second part describes the transformation rules of the most important OpenMP constructs. 420 pp. Englisch.
Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658075961 ISBN 13: 9783658075965
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Publication in the field of technical sciencesIntroduction with Examples from Numerical Optimization.- Algorithmic Differentiation by Source Transformation.- Transformation rules for Parallel Code Regions (e.g. OpenMP 3.1).- Static Program Analysis.