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Zbigniew J. Czech - Introduction to Parallel Computing

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Zbigniew J. Czech Introduction to Parallel Computing
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The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications. This book provides a comprehensive introduction to parallel computing, discussing theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and implementing shared- and distributed-memory programs, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Each chapter presents the basics in one place followed by advanced topics, allowing novices and experienced practitioners to quickly find what they need. A glossary and more than 80 exercises with selected solutions aid comprehension. The book is recommended as a text for advanced undergraduate or graduate students and as a reference for practitioners.

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Introduction to Parallel Computing

The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications. This book provides a comprehensive introduction to parallel computing, discussing both theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, such as methods of designing and implementing shared- and distributed-memory programs, and standards for parallel program implementation, in particular MPI and OpenMP interfaces.

Each chapter presents the basics in one place, followed by advanced topics, allowing both novices and experienced practitioners to quickly find what they need. A glossary and more than 80 exercises with selected solutions aid comprehension. The book is recommended as a text for advanced undergraduate or graduate students and as a reference for practitioners.

Zbigniew J. Czech is Professor of Computer Science at Silesian University of Technology, Gliwice, Poland. His research interests include computer programming, design and analysis of algorithms, and parallel computing, on which he has more than 45 years of experience lecturing and conducting research. He has served as a research fellow at the University of York and the University of Canterbury in the United Kingdom, and has lectured at numerous universities in Poland and elsewhere, including the University of CaliforniaSanta Barbara, Indiana University-Purdue University, and the University of Queensland.

Introduction to Parallel Computing
Zbigniew J. Czech
Silesian University of Technology

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UniversityPrintingHouse,CambridgeCB28BS,UnitedKingdom
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ItfurtherstheUniversitysmissionbydisseminatingknowledgeinthepursuitofeducation,learning,andresearchatthehighestinternationallevelsofexcellence.
www.cambridge.org
Informationonthistitle:www.cambridge.org/9781107174399
ZbigniewJ.Czech2016
Thispublicationisincopyright.Subjecttostatutoryexceptionandtotheprovisionsofrelevantcollectivelicensingagreements,noreproductionofanypartmaytakeplacewithoutthewrittenpermissionofCambridgeUniversityPress.
Firstpublished2016
PrintedintheUnitedStatesofAmericabySheridanBooks,Inc.
AcataloguerecordforthispublicationisavailablefromtheBritishLibrary.
LibraryofCongressCataloging-in-PublicationData
Names: Czech, Zbigniew J.
Title: Introduction to parallel computing / Zbigniew J. Czech, Silesia
University of Technology.
Description: Cambridge, United Kingdom ; New York, NY, USA : Cambridge
University Press, 2016. | Includes bibliographical references and index.
Identifiers: LCCN 2016051952 | ISBN 9781107174399 (hardback : alk. paper)
Subjects: LCSH: Parallel processing (Electronic computers)
Classification: LCC QA76.58.C975 2016 | DDC 004/.35 dc23
LC record available at https://lccn.loc.gov/2016051952
ISBN 978-1-107-17439-9Hardback
CambridgeUniversityPresshasnoresponsibilityforthepersistenceoraccuracyofURLsforexternalorthird-partyInternetWebsitesreferredtointhispublicationanddoesnotguaranteethatanycontentonsuchWebsitesis,orwillremain,accurateorappropriate.
Contents
1.1
1.1.1
1.1.2
1.2
1.2.1
1.3
1.4
1.4.1
1.4.2
1.4.3
1.4.4
1.4.5
1.5
1.6
1.7
2.1
2.1.1
2.1.2
2.2
2.2.1
2.2.2
2.2.3
2.2.4
2.2.5
2.3
2.4
2.5
2.6
3.1
3.1.1
3.1.2
3.2
3.3
3.4
3.5
3.5.1
3.5.2
3.5.3
3.5.4
3.5.5
3.5.6
3.5.7
3.5.8
3.6
3.6.1
3.6.2
3.6.3
3.6.4
3.6.5
3.7
3.8
3.8.1
3.8.2
3.8.3
3.9
3.10
4.1
4.2
4.2.1
4.2.2
4.2.3
4.2.4
4.2.5
4.2.6
4.3
4.4
4.4.1
4.4.2
4.4.3
4.4.4
4.4.5
4.5
4.5.1
4.5.2
4.5.3
4.6
4.6.1
4.6.2
4.6.3
4.6.4
4.6.5
4.7
4.8
5.1
5.1.1
5.2
5.3
5.3.1
5.3.2
5.3.3
5.4
5.4.1
5.4.2
5.4.3
5.4.4
5.5
5.5.1
5.5.2
5.6
5.6.1
5.6.2
5.7
5.8
5.9
6.1
6.2
6.3
6.3.1
6.3.2
6.3.3
6.3.4
6.3.5
6.4
6.4.1
6.4.2 Collecting and Spreading DataFunctions MPI_Gather
and MPI_Scatter
6.5
6.5.1
6.5.2
6.6
6.7
6.8
7.1
7.2
7.3
7.4
7.4.1
7.4.2
7.4.3
7.4.4
7.4.5
7.4.6
7.4.7
7.4.8
7.5
7.5.1
7.5.2
7.5.3
7.5.4
7.5.5
7.5.6
7.5.7
7.5.8
7.5.9
7.5.10
7.5.11
7.5.12
7.5.13
7.6
7.6.1
7.6.2
7.6.3
7.6.4
7.6.5
7.6.6
7.6.7
7.7
7.8
7.9
7.10
7.11
7.12
List of Figures
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
1.10
1.11
1.12
1.13
1.14
1.15
1.16
1.17
1.18
1.19
1.20
1.21
1.22
1.23
2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
2.10
2.11
2.12
2.13
2.14
2.15
2.16
2.17
2.18
2.19
2.20
2.21
2.22
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
3.9
3.10
3.11
3.12
3.13
3.14
3.15
3.16
3.17
3.18
3.19
3.20
3.21
3.22
3.23
3.24
3.25
3.26
3.27
3.28
3.29
3.30
3.31
3.32
3.33
3.34
3.35
3.36
3.37
3.38
3.39
3.40
3.41
3.42
3.43
3.44
4.1
4.2
4.3
4.4
4.5
4.6
4.7
4.8
4.9
4.10
4.11
4.12
4.13
4.14
4.15
4.16
4.17
4.18
4.19
4.20
4.21
4.22
4.23
4.24
4.25
4.26
4.27
4.28
4.29
4.30
4.31
4.32
4.33
4.34
4.35
4.36
4.37
4.38
4.39
4.40
4.41
5.1
5.2
5.3
5.4
5.5
5.6
5.7
5.8
5.9
5.10
5.11
5.12
5.13
5.14
5.15
5.16
5.17
5.18
5.19
5.20
5.21
5.22
5.23
5.24
5.25
5.26
5.27
5.28
5.29
5.30
5.31
5.32
5.33
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