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Algorithmic Differentiation of Pragma-Defined Parallel Regions by Michael Forster
Algorithmic Differentiation of Pragma-Defined Parallel Regions by Michael Forster
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Algorithmic Differentiation of Pragma-Defined Parallel Regions

Differentiating Computer Programs Containing OpenMP
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Description

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.

Author Biography:

Michael Förster is currently Research Associate of the Institute Software and Tools for Computational Engineering, RWTH Aachen University.
Release date NZ
October 23rd, 2014
Audience
  • Professional & Vocational
Illustrations
41 Illustrations, black and white; XI, 405 p. 41 illus.
Pages
405
Dimensions
148x210x24
ISBN-13
9783658075965
Product ID
22845204

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