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Parallele Programmierung


Parallele Programmierung
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Parallele Programmierung


Parallele Programmierung
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Author : Thomas Rauber
language : de
Publisher: Springer-Verlag
Release Date : 2012-09-04

Parallele Programmierung written by Thomas Rauber and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-04 with Computers categories.


Multiprozessor-Desktoprechner, Cluster von PCs und Innovationen wie Hyperthreading oder Multicore-Prozessoren machen parallele Rechenressourcen allgegenwärtig. Die Ausnutzung dieser Rechenleistung ist jedoch nur durch parallele Programmiertechniken möglich. Das Buch stellt diese Techniken für herkömmliche Parallelrechner und für neuartige Plattformen umfassend dar. Neben den Grundlagen der parallelen Programmierung werden Programmierumgebungen wie Pthreads, Java-Threads, OpenMP, MPI oder PVM sowie die zugehörigen Programmiermodelle behandelt.



Parallel Programming


Parallel Programming
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Author : Thomas Bräunl
language : en
Publisher:
Release Date : 1993

Parallel Programming written by Thomas Bräunl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.


This introduction to parallel programming explores the fundamentals of parallelism, parallel system architecture (MIMD and SIMD), and parallel programming languages, and presents methods for designing parallel algorithms, for writing efficient parallel programs, and for computing performance data and judging it.



Openmp


Openmp
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Author : Simon Hoffmann
language : de
Publisher: Springer-Verlag
Release Date : 2008-04-03

Openmp written by Simon Hoffmann and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-03 with Computers categories.


OpenMP ist ein weit verbreiteter de-facto-Standard für High-Level Shared-Memory-Programmierung, der für viele Plattformen zur Verfügung steht (u.a. Linux und Microsoft Windows). Das Programmiermodell von OpenMP ermöglicht einen einfachen und flexiblen Ansatz zur Entwicklung paralleler Applikationen unter FORTRAN, C und C++. Open MP wird von den meisten High-performance Compiler- und Hardwareherstellern unterstützt. Das Buch stellt Open MP ausführlich vor und zeigt die Implementierung paralleler C/C++ Algorithmen anhand zahlreicher Beispiele.



Patterns For Parallel Programming


Patterns For Parallel Programming
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Author : Timothy G. Mattson
language : en
Publisher: Pearson Education
Release Date : 2004-09-15

Patterns For Parallel Programming written by Timothy G. Mattson and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-15 with Computers categories.


The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.



Introduction To Parallel Programming


Introduction To Parallel Programming
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Author : Steven Brawer
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Introduction To Parallel Programming written by Steven Brawer and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Computers categories.


Introduction to Parallel Programming focuses on the techniques, processes, methodologies, and approaches involved in parallel programming. The book first offers information on Fortran, hardware and operating system models, and processes, shared memory, and simple parallel programs. Discussions focus on processes and processors, joining processes, shared memory, time-sharing with multiple processors, hardware, loops, passing arguments in function/subroutine calls, program structure, and arithmetic expressions. The text then elaborates on basic parallel programming techniques, barriers and race conditions, and nested loops. The manuscript takes a look at overcoming data dependencies, scheduling summary, linear recurrence relations, and performance tuning. Topics include parallel programming and the structure of programs, effect of the number of processes on overhead, loop splitting, indirect scheduling, block scheduling and forward dependency, and induction variable. The publication is a valuable reference for researchers interested in parallel programming.



Parallele Programmierung


Parallele Programmierung
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Author :
language : de
Publisher: Springer-Verlag
Release Date : 2013-11-22

Parallele Programmierung written by and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-22 with Technology & Engineering categories.


Dieses Lehrbuch gibt eine Einführung in das Gebiet der parallelen Programmierung und richtet sich vor allem an Studenten der Informatik im Hauptstudium. Nach den Grundlagen folgen die Gebiete der "konventionellen" asynchronen parallelen Programmierung und der synchronen "massiv parallelen" oder daten-parallelen Programmierung mit tausend oder mehr Prozessoren. Den Abschluß bilden weitere parallele Modelle, die nicht einem dieser beiden Gebiete zugeordnet werden können, die automatische Parallelisierung und Vektorisierung sowie Leistungsbetrachtungen. Das Buch entstand aus dem Skript zur gleichnamigen Vorlesung, die vom Autor an der Universität Stuttgart gehalten wurde. Begleitende Praktika und Seminar ergänzten den Themenbereich, an denen sich die Übungen zu den jeweiligen Kapiteln orientieren.



An Introduction To Parallel Programming


An Introduction To Parallel Programming
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Author : Peter Pacheco
language : en
Publisher: Morgan Kaufmann
Release Date : 2021-08-27

An Introduction To Parallel Programming written by Peter Pacheco and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-27 with Computers categories.


An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: New chapters on GPU programming and heterogeneous programming New examples and exercises related to parallel algorithms



Parallele Programmierung Mit Modula 2


Parallele Programmierung Mit Modula 2
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Author : Ernst A. Heinz
language : de
Publisher: Springer-Verlag
Release Date : 2019-06-12

Parallele Programmierung Mit Modula 2 written by Ernst A. Heinz and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-12 with Science categories.




Parallel Programming


Parallel Programming
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Author : Thomas Rauber
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-13

Parallel Programming written by Thomas Rauber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-13 with Computers categories.


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.



Programming Models For Parallel Computing


Programming Models For Parallel Computing
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Author : Pavan Balaji
language : en
Publisher: MIT Press
Release Date : 2015-11-06

Programming Models For Parallel Computing written by Pavan Balaji and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Computers categories.


An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng