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Practical Computer Science 

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Parallel Programming for Multicore and Cluster Systems

Springer Verlag
3rd ed. 2023, XIII, 554 p. 197 illus., Hardcover
ISBN: 978-3-031-28923-1 (Print) 978-3-031-28924-8 (Online)

Authors:
Rauber, T.   Bayreuth University
Rünger, G.   Technische Universität Chemnitz

Written for:
Professional/practitioner

Keywords:
Distributed Programming, Grid Computing, Multithreading, Networking, Parallel Programming, Scientific Programming

Buchtitel Parallel Programming for Multicore and Cluster Systems, 3. Auflage

Cover-Text:
This textbook covers the new development in processor architecture and parallel hardware. It provides detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers.
The book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. In particular, this third edition includes an extended update of the chapter on computer architecture and performance analysis taking new developments such as the aspect of energy consumption into consideration. The description of OpenMP has been extended and now also captures the task concept of OpenMP. The chapter on message-passing programming has been extended and updated to include new features of MPI such as extended reduction operations and non-blocking collective communication operations. The chapter on GPU programming also has been updated. All other chapters also have been revised carefully.
The main goal of this book is to present parallel programming techniques that can be used in many situations for many application areas and to enable the reader to develop correct and efficient parallel programs. Many example programs and exercises are provided to support this goal and to show how the techniques can be applied to further applications. The book can be used as a textbook for students as well as a reference book for professionals. The material of the book has been used for courses in parallel programming at different universities for many years.

Features and Benefits:
  • Broad coverage of all aspects of parallel programming
  • Special emphasis on runtime efficiency and memory organization
  • Presented material has been used in courses for many years
  • Complemented by many examples and an additional website with teaching material

Further information and additional material


Parallel Programming for Multicore and Cluster Systems

Springer Verlag
2nd ed. 2013, XIII, 516 p. 178 illus., Hardcover
ISBN: 978-3-642-37800-3 (Print) 978-3-642-37801-0 (Online)

Authors:
Rauber, T.   Bayreuth University
Rünger, G.   Technische Universität Chemnitz

Written for:
Professional/practitioner

Keywords:
Distributed Programming, Grid Computing, Multithreading, Networking, Parallel Programming, Scientific Programming

Buchtitel Parallel Programming for Multicore and Cluster Systems, 2. Auflage

Cover-Text:
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing.
Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added.
The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The material presented has been used for courses in parallel programming at different universities for many years.

Features and Benefits:
  • Broad coverage of all aspects of parallel programming
  • Special emphasis on runtime efficiency and memory organization
  • Presented material has been used in courses for many years
  • Complemented by many examples and an additional website with teaching material

Further information and additional material


Parallele Programmierung

Springer Verlag
3., neu bearb. u. erw. Aufl.
2012. X, 522 S., 154 Abb., Softcover
ISBN: 978-3-642-13603-0 (Print) 978-3-642-13604-7 (Online)

Authors:
Rauber, T.   Bayreuth University
Rünger, G.   Technische Universität Chemnitz

Written for:
Studierende und Dozenten, Anfänger und fortgeschrittene Programmierer

Keywords:
Parallelrechner, Parallele Programmierung, Verteilte Programmierung, Programmiersprachen, Programmbibliotheken, Wissenschaftliches Rechnen

Buchtitel Parallele Programmierung, 3. Auflage

Durch kostengünstige Multiprozessor-Desktoprechner, Cluster von PCs und Innovationen wie die Hyperthreading-Technologie oder Multicore-Prozessoren sind parallele Rechenressourcen allgegenwärtig. Die effiziente Ausnutzung dieser parallelen Rechenleistung ist jedoch nur durch den Einsatz paralleler Programmiertechniken möglich, die sich damit in alle Bereiche der Softwareerstellung ausbreiten.
Dieses Buch stellt die parallele Programmierung für herkömmliche Parallelrechner und für die neuartigen parallelen Plattformen umfassend dar. Neben den Grundlagen der parallelen Programmierung werden portable Programmierumgebungen wie Pthreads, Java-Threads, OpenMP, MPI, PVM oder UPC und die zugehöigen Programmiermodelle ausführlich behandelt. Parallele Progammiertechniken, die zur erfolgreichen Realisierung effizienter paralleler Programme führen, werden mit einer Vielzahl von Beispielen dargestellt.

Das Buch ist für Anfänger und fortgeschrittene Programmierer geeignet.

Further information and additional material


Parallel Programming for Multicore and Cluster Systems

Springer Verlag
1st Edition., X, 456 p. 156 illus., Hardcover
ISBN: 978-3-642-04817-3 (Print) 978-3-642-04818-0 (Online)

Authors:
Rauber, T.   Bayreuth University
Rünger, G.   Technische Universität Chemnitz

Written for:
Professional/practitioner

Keywords:
Distributed Programming, Grid Computing, Multithreading, Networking, Parallel Programming, Scientific Programming

Buchtitel Parallel Programming for Multicore and Cluster Systems

Cover-Text:
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing.
Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures.
The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Features and Benefits:
  • Broad coverage of all aspects of parallel programming
  • Special emphasis on runtime and storage efficiency
  • Presented material has been used in courses for many years
  • Complemented by many examples and an additional website with teaching material

Further information and additional material


Multicore: Parallele Programmierung

Springer Verlag
1. Auflage
2008, VIII, 164 S., Softcover
ISBN: 978-3-540-73113-9 (Print) 978-3-540-73114-6 (Online)

Authors:
Rauber, T.   Bayreuth University
Rünger, G.   Technische Universität Chemnitz

Written for:
Studierende, Wissenschaftler, Praktiker der Informatik

Keywords:
HPCS-Sprachen, Java-Threads, Multicore-Architektur, OpenMP, Parallele Programmierung, Pthreads, UPC

Buchtitel Multicore: Parallele Programmierung

Parallele Programmierung

Springer Verlag
2., neu bearb. u. erw. Aufl.
2007. X, 485 S., Softcover
ISBN: 978-3-540-46549-2 (Print) 978-3-540-46548-5 (Online)

Authors:
Rauber, T.   Bayreuth University
Rünger, G.   Technische Universität Chemnitz

Written for:
Studierende und Dozenten, Anfänger und fortgeschrittene Programmierer

Keywords:
Parallelrechner, Parallele Programmierung, Verteilte Programmierung, Programmiersprachen, Programmbibliotheken, Wissenschaftliches Rechnen

Buchtitel Parallele Programmierung, 2. Auflage

Durch kostengünstige Multiprozessor-Desktoprechner, Cluster von PCs und Innovationen wie die Hyperthreading-Technologie oder Multicore-Prozessoren sind parallele Rechenressourcen allgegenwärtig. Die effiziente Ausnutzung dieser parallelen Rechenleistung ist jedoch nur durch den Einsatz paralleler Programmiertechniken möglich, die sich damit in alle Bereiche der Softwareerstellung ausbreiten.
Dieses Buch stellt die parallele Programmierung für herkömmliche Parallelrechner und für die neuartigen parallelen Plattformen umfassend dar. Neben den Grundlagen der parallelen Programmierung werden portable Programmierumgebungen wie Pthreads, Java-Threads, OpenMP, MPI, PVM oder UPC und die zugehörigen Programmiermodelle ausführlich behandelt. Parallele Programmiertechniken, die zur erfolgreichen Realisierung effizienter paralleler Programme führen, werden mit einer Vielzahl von Beispielen dargestellt.

Das Buch ist für Anfänger und fortgeschrittene Programmierer geeignet.


Parallele und verteilte Programmierung

Springer Verlag
2000. XII, 563 S. 165 Abb.
ISBN: 3-540-66009-7

Authors:
Rauber, T.   Bayreuth University
Rünger, G.   Technische Universität Chemnitz

Written for:
Studierende und Dozenten, Wissenschaftler / Forscher, Institute / Bibliotheken

Book category: Springer Lehrbuch

Keywords:
Parallelrechner, Parallele Programmierung, Verteilte Programmierung, Programmiersprachen, Programmbibliotheken, Wissenschaftliches Rechnen

Fachgebiete:
Programmiertechniken; Programmiersprachen, Compiler, Interpreter; Organisation und Kommunikation von Rechnersystemen

Buchtitel Parallele und verteilte Programmierung

Das Buch behandelt die praktischen Aspekte paralleler und verteilter Programmierung und stellt die zugrundeliegenden Konzepte in angemessener Tiefe dar. Wesentlich ist dabei das Zusammenspiel der parallelen Eigenschaften des jeweiligen Anwendungsproblems, der Programmierumgebung und der Architektur des Parallelrechners. Dementsprechend werden in den einzelnen Kapiteln die unterschiedlichen Typen von Parallelrechnern und parallelen Plattformen betrachtet, ein Überblick über parallele Programmierumgebungen gegeben und Charakteristika wichtiger Anwendungsalgorithmen beschrieben. Breiten Raum nehmen die Darstellung und der Vergleich portabler Programmierplattformen wie PVM und MPI ein. Das Buch enthält insbesondere einen genauen Effizienzvergleich dieser Plattformen für viele aktuelle Parallelrechner und diskutiert die Anwendung auf Probleme, die für die Praxis der Natur- und Ingenieurwissenschaften sowie des Wissenschaftlichen Rechnens relevant sind.

Das Buch ist für Anfänger und fortgeschrittene Programmierer geeignet.

Inhaltsverzeichnis   Glossar   Index