Parallel Programming Using C
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Parallel Programming In C With Mpi And Openmp
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Author : Michael Jay Quinn
language : en
Publisher: McGraw-Hill Education
Release Date : 2004
Parallel Programming In C With Mpi And Openmp written by Michael Jay Quinn and has been published by McGraw-Hill Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with C (Computer program language) categories.
The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book,Parallel Programming in C with MPI and OpenMPaddresses the needs of students and professionals who want to learn how to design, analyze, implement, and benchmark parallel programs in C using MPI and/or OpenMP. It introduces a rock-solid design methodology with coverage of the most important MPI functions and OpenMP directives. It also demonstrates, through a wide range of examples, how to develop parallel programs that will execute efficiently on today’s parallel platforms. If you are an instructor who has adopted the book and would like access to the additional resources, please contact your local sales rep. or Michelle Flomenhoft at: [email protected].
Parallel Programming In C With Mpi And Openmp
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Author : Michael Jay Quinn
language : en
Publisher: Tata McGraw-Hill Education
Release Date : 2003
Parallel Programming In C With Mpi And Openmp written by Michael Jay Quinn and has been published by Tata McGraw-Hill Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with C (Computer program language) categories.
Parallel And Distributed Programming Using C
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Author : Cameron Hughes
language : en
Publisher: Addison-Wesley Professional
Release Date : 2004
Parallel And Distributed Programming Using C written by Cameron Hughes and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
This text takes complicated and almost unapproachable parallel programming techniques and presents them in a simple, understandable manner. It covers the fundamentals of programming for distributed environments like Internets and Intranets as well as the topic of Web Based Agents.
The Concurrent C Programming Language
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Author : Narain Gehani
language : en
Publisher: Silicon Press
Release Date : 1989
The Concurrent C Programming Language written by Narain Gehani and has been published by Silicon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Concurrent C is a superset of C that provides parallel programming facilities such as those for the declaring and creating processes, for process synchronization and interaction, and for process termination and abortion. Concurrent C was designed for the effective utilization of multiprocessors and multicomputers. Concurrent C, as a compile-time option, also works with C++, an object-oriented superset of C.
Parallel Programming Using C
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Author : Gregory V. Wilson
language : en
Publisher: MIT Press
Release Date : 1996-07-08
Parallel Programming Using C written by Gregory V. Wilson and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-08 with Computers categories.
Foreword by Bjarne Stroustrup Software is generally acknowledged to be the single greatest obstacle preventing mainstream adoption of massively-parallel computing. While sequential applications are routinely ported to platforms ranging from PCs to mainframes, most parallel programs only ever run on one type of machine. One reason for this is that most parallel programming systems have failed to insulate their users from the architectures of the machines on which they have run. Those that have been platform-independent have usually also had poor performance. Many researchers now believe that object-oriented languages may offer a solution. By hiding the architecture-specific constructs required for high performance inside platform-independent abstractions, parallel object-oriented programming systems may be able to combine the speed of massively-parallel computing with the comfort of sequential programming. Parallel Programming Using C++ describes fifteen parallel programming systems based on C++, the most popular object-oriented language of today. These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control parallelism. For the parallel programming community, a common parallel application is discussed in each chapter, as part of the description of the system itself. By comparing the implementations of the polygon overlay problem in each system, the reader can get a better sense of their expressiveness and functionality for a common problem. For the systems community, the chapters contain a discussion of the implementation of the various compilers and runtime systems. In addition to discussing the performance of polygon overlay, several of the contributors also discuss the performance of other, more substantial, applications. For the research community, the contributors discuss the motivations for and philosophy of their systems. As well, many of the chapters include critiques that complete the research arc by pointing out possible future research directions. Finally, for the object-oriented community, there are many examples of how encapsulation, inheritance, and polymorphism can be used to control the complexity of developing, debugging, and tuning parallel software.
Parallel Programming In C With Mpi And Openmp
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Author : Michael Jay Quinn
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 2004
Parallel Programming In C With Mpi And Openmp written by Michael Jay Quinn and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Motivation and History - Parallel Architectures - Parallel Algorithm Design - Message-Passing Programming - The Sieve of Eratosthenes - Floyd's Algorithm - Performance Analysis - Matrix-Vector Multiplication - Document Classification - Monte Carlo Methods - Matrix Multiplication - Solving Linear Systems - Finite Difference Methods - Sorting - The Fast Fourier Transform - Combinatorial Search - Shared-memory Programming - Combining MPI and OpenMP.
Professional Parallel Programming With C
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Author : Gastón C. Hillar
language : en
Publisher: John Wiley & Sons
Release Date : 2010-12-08
Professional Parallel Programming With C written by Gastón C. Hillar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-08 with Computers categories.
Expert guidance for those programming today’s dual-core processors PCs As PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization. Teaches programmers professional-level, task-based, parallel programming with C#, .NET 4, and Visual Studio 2010 Covers concurrent collections, coordinated data structures, PLINQ, thread pools, asynchronous programming model, Visual Studio 2010 debugging, and parallel testing and tuning Explores vectorization, SIMD instructions, and additional parallel libraries Master the tools and technology you need to develop thread-safe concurrent applications for multi-core systems, with Professional Parallel Programming with C#.
An Introduction To Parallel Programming
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Author : Scott L. Hamilton
language : en
Publisher: Lulu.com
Release Date : 2013-12-31
An Introduction To Parallel Programming written by Scott L. Hamilton and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Computers categories.
An introduction to parallel programming with openmpi using C. It is written so that someone with even a basic understanding of programming can begin to write mpi based parallel programs.
Pro Tbb
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Author : Michael Voss
language : en
Publisher: Apress
Release Date : 2019-07-09
Pro Tbb written by Michael Voss and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-09 with Computers categories.
This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present numerous examples and best practices to help you become an effective TBB programmer and leverage the power of parallel systems. Pro TBB starts with the basics, explaining parallel algorithms and C++'s built-in standard template library for parallelism. You'll learn the key concepts of managing memory, working with data structures and how to handle typical issues with synchronization. Later chapters apply these ideas to complex systems to explain performance tradeoffs, mapping common parallel patterns, controlling threads and overhead, and extending TBB to program heterogeneous systems or system-on-chips. What You'll Learn Use Threading Building Blocks to produce code that is portable, simple, scalable, and more understandableReview best practices for parallelizing computationally intensive tasks in your applications Integrate TBB with other threading packages Create scalable, high performance data-parallel programs Work with generic programming to write efficient algorithms Who This Book Is For C++ programmers learning to run applications on multicore systems, as well as C or C++ programmers without much experience with templates. No previous experience with parallel programming or multicore processors is required.
Parallel C
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Author : Patrick Diehl
language : en
Publisher: Springer
Release Date : 2024-04-24
Parallel C written by Patrick Diehl and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-24 with Computers categories.
This textbook focuses on practical parallel C++ programming at the graduate student level. In particular, it shows the APIs and related language features in the C++ 17 and C++ 20 standards, covering both single node and distributed systems. It shows that with the parallel features in the C++ 17 and C++ 20 standards, learning meta-languages like OpenMP is no longer necessary. Using the C++ standard library for parallelism and concurrency (HPX), the same language features can be extended to distributed codes, providing a higher-level C++ interface to distributed programming than the Message Passing Interface (MPI). The book starts with the single-threaded implementation of the fractal sets, e.g. Julia set, and Mandelbrot set, using the C++ Standard Library (SL)’s container and algorithms. This code base is used for parallel implementation using low-level threads, asynchronous programming, parallel algorithms, and coroutines. The asynchronous programming examples are then extended to distributed programming using the C++ standard library for parallelism and concurrency (HPX). Octo-Tiger, an astrophysics code for stellar merger, is used as a showcase for a portable, efficient, and scalable high-performance application using HPX. The book’s core audience is advanced undergraduate and graduate students who want to learn the basics of parallel and distributed C++ programming but are not computer science majors. Basic C++ knowledge, like functions, classes, loops, and conditional statements, is assumed as a requirement, while C++ advanced topics, like generic programming, lambda functions, smart pointers, and move semantics, are briefly summarized in the appendix.