Algorithmic differentiation of pragma-defined parallel regions [electronic resource] : differentiating computer programs containing OpenMP / Michael Förster.
2014
QA76.642
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Title
Algorithmic differentiation of pragma-defined parallel regions [electronic resource] : differentiating computer programs containing OpenMP / Michael Förster.
Author
ISBN
9783658075972 electronic book
365807597X electronic book
9783658075965
365807597X electronic book
9783658075965
Published
Wiesbaden : Springer Vieweg, 2014.
Language
English
Description
1 online resource.
Call Number
QA76.642
Dewey Decimal Classification
005.2/75
Summary
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.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed October 20, 2014).
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Table of 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.
Algorithmic Differentiation by Source Transformation
Transformation rules for Parallel Code Regions (e.g. OpenMP 3.1)
Static Program Analysis.