Algorithmic Differentiation of Pragma-Defined Parallel Regions (Record no. 56738)

000 -LEADER
fixed length control field 03387nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-658-07597-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112043.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141009s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783658075972
-- 978-3-658-07597-2
082 04 - CLASSIFICATION NUMBER
Call Number 004.0151
100 1# - AUTHOR NAME
Author F�orster, Michael.
245 10 - TITLE STATEMENT
Title Algorithmic Differentiation of Pragma-Defined Parallel Regions
Sub Title Differentiating Computer Programs Containing OpenMP /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 405 p. 41 illus.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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 F�orster is currently Research Associate of the Institute Software and Tools for Computational Engineering, RWTH Aachen University.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Mathematics.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-658-07597-2
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Koha item type eBooks
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-- Wiesbaden :
-- Springer Fachmedien Wiesbaden :
-- Imprint: Springer Vieweg,
-- 2014.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
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-- Computer science
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-- Computers.
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-- Applied mathematics.
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-- Engineering mathematics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics of Computing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computing Methodologies.
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-- Appl.Mathematics/Computational Methods of Engineering.
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-- ZDB-2-SCS

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