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Algorithmic Differentiation of Pragma-Defined Parallel Regions

Differentiating Computer Programs Containing OpenMP

Authors: Förster, Michael

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  • Publication in the field of technical sciences

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About this book

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.

About the authors

Michael Förster is currently Research Associate of the Institute Software and Tools for Computational Engineering, RWTH Aachen University.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-658-07597-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA
  • ISBN 978-3-658-07596-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Algorithmic Differentiation of Pragma-Defined Parallel Regions
Book Subtitle
Differentiating Computer Programs Containing OpenMP
Authors
Copyright
2014
Publisher
Springer Vieweg
Copyright Holder
Springer Fachmedien Wiesbaden
eBook ISBN
978-3-658-07597-2
DOI
10.1007/978-3-658-07597-2
Softcover ISBN
978-3-658-07596-5
Edition Number
1
Number of Pages
XI, 405
Number of Illustrations
41 b/w illustrations
Topics