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Algorithmic Differentiation of Pragma-Defined Parallel Regions: Differentiating Computer Programs Containing OpenMP - Tapa blanda
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Michael Förster is currently Research Associate of the Institute Software and Tools for Computational Engineering, RWTH Aachen University.
De la contraportada
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.
Contents
- Introduction with Examples from Numerical Optimization
- Algorithmic Differentiation by Source Transformation
- Transformation rules for Parallel Code Regions (e.g. OpenMP 3.1)
- Static Program Analysis
Target Groups
- Lecturers and students of computer science
- Computer scientists, engineers, mathematicians and numerical analysts
The Author
Michael Förster is currently Research Associate of the Institute Software and Tools for Computational Engineering, RWTH Aachen University."Sobre este título" puede pertenecer a otra edición de este libro.
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Algorithmic Differentiation of Pragma-Defined Parallel Regions
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Springer Fachmedien Wiesbaden Okt 2014, 2014
ISBN 10: 3658075961
ISBN 13: 9783658075965
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783658075965
Cantidad disponible: 2 disponibles
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Algorithmic Differentiation of Pragma-Defined Parallel Regions : Differentiating Computer Programs Containing OpenMP
Publicado por
Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658075961
ISBN 13: 9783658075965
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783658075965
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Algorithmic Differentiation of Pragma-Defined Parallel Regions: Differentiating Computer Programs Containing OpenMP
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Algorithmic Differentiation of Pragma-Defined Parallel Regions
Publicado por
Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658075961
ISBN 13: 9783658075965
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Condición: 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. Nº de ref. del artículo: 5123682
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Algorithmic Differentiation of Pragma-Defined Parallel Regions
Publicado por
Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Okt 2014, 2014
ISBN 10: 3658075961
ISBN 13: 9783658075965
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Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783658075965
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