Algorithmic Differentiation of Pragma-Defined Parallel Regions: Differentiating Computer Programs Containing Openmp

Name: Algorithmic Differentiation of Pragma-Defined Parallel Regions: Differentiating Computer Programs Containing Openmp
Brand: Springer
SKU: 9783658075965
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by Michael Förster

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ISBN13: 9783658075965
Binding: Paperback
Subject: N/A
Publisher: Springer
Publisher Imprint: Springer Vieweg
Publication Date: October 23, 2014
Pages: 405
Original Price: EUR 49.99
Language: English
Edition: 2014
Item Weight: 549 grams
BISAC Subject(s): Data Science / General, Computer Science, and Applied

About The Book

From the Back Cover

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.

About The Author

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

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