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Parallel Programming

Author: Thomas Rauber
Publisher: Springer Science & Business Media
ISBN: 3642378013
Size: 43.48 MB
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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.

Multicore

Author: Thomas Rauber
Publisher: Springer-Verlag
ISBN: 3540731148
Size: 38.95 MB
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Multicore-Prozessoren mit zwei oder mehreren Prozessorkernen erhöhen die Leistungsfähigkeit aller Computer immens. Doch nur spezielle Techniken gewährleisten die tatsächlich schnellere Programmbearbeitung und optimale Nutzung dieser Leistungsfähigkeit. Die Autoren zeigen hier erstmals, wie Software-Entwickler parallele Programme mittels Software-Threads zur schnellen Ausführung auf Multicore-Prozessoren erstellen. Umfassend erläutern sie alle Aspekte des Themas: parallele Programmiermodelle, Konzepte der Thread-Programmierung, die Programmierumgebungen Pthreads, Java-Threads und OpenMP sowie Sprachkonstrukte und neuere Programmieransätze.

Parallele Und Verteilte Programmierung

Author: Thomas Rauber
Publisher: Springer-Verlag
ISBN: 3662091968
Size: 42.44 MB
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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.

Mpi Eine Einf Hrung

Author: William Gropp
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3486841009
Size: 78.62 MB
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Message Passing Interface (MPI) ist ein Protokoll, das parallel Berechnungen auf verteilten, heterogenen, lose-gekoppelten Computersystemen ermöglicht.

Paralleles Rechnen

Author: Josef Schüle
Publisher: Oldenbourg Verlag
ISBN: 348671158X
Size: 70.59 MB
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Zunächst werden Grundlagen der Informatik gelegt, danach mathematische Algorithmen so einfach wie möglich als Rezepte vorgestellt, analysiert und deren Performance mit vielen Beispielen verbessert. Die Lösung eines Gleichungssystems und die Performancebetrachtungen zu Speicherungstechniken ziehen sich dabei als roter Faden durch das Buch.

An Introduction To Parallel Programming

Author: Peter Pacheco
Publisher: Elsevier
ISBN: 9780080921440
Size: 80.61 MB
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An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models

Parallel Programming For Modern High Performance Computing Systems

Author: Pawel Czarnul
Publisher: CRC Press
ISBN: 1351385798
Size: 19.54 MB
Format: PDF
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In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs

Computational Technologies

Author: Petr N. Vabishchevich
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110359960
Size: 52.99 MB
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This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In constructing computational algorithms, mathematical problems are separated in relatively independent subproblems in order to solve them on a single computing node.