Parallel Programming In C With Mpi And Openmp
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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: michelle_flomenhoft@mcgraw-hill.com.
Parallel Programming In Openmp
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Author : Rohit Chandra
language : en
Publisher: Elsevier
Release Date : 2000-10-11
Parallel Programming In Openmp written by Rohit Chandra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-10-11 with Computers categories.
The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems. At the same time, developers of technical and scientific applications in industry and in government laboratories find they need to parallelize huge volumes of code in a portable fashion. OpenMP, developed jointly by several parallel computing vendors to address these issues, is an industry-wide standard for programming shared-memory and distributed shared-memory multiprocessors. It consists of a set of compiler directives and library routines that extend FORTRAN, C, and C++ codes to express shared-memory parallelism. Parallel Programming in OpenMP is the first book to teach both the novice and expert parallel programmers how to program using this new standard. The authors, who helped design and implement OpenMP while at SGI, bring a depth and breadth to the book as compiler writers, application developers, and performance engineers.* Designed so that expert parallel programmers can skip the opening chapters, which introduce parallel programming to novices, and jump right into the essentials of OpenMP.* Presents all the basic OpenMP constructs in FORTRAN, C, and C++.* Emphasizes practical concepts to address the concerns of real application developers.* Includes high quality example programs that illustrate concepts of parallel programming as well as all the constructs of OpenMP.* Serves as both an effective teaching text and a compact reference.* Includes end-of-chapter programming exercises.
An Introduction To Parallel Programming
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Author : Peter Pacheco
language : en
Publisher: Elsevier
Release Date : 2011-02-17
An Introduction To Parallel Programming written by Peter Pacheco and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-17 with Computers categories.
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
Using Openmp
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Author : Barbara Chapman
language : en
Publisher: MIT Press
Release Date : 2007-10-12
Using Openmp written by Barbara Chapman and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-12 with Computers categories.
A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing—a reference for students and professionals. "I hope that readers will learn to use the full expressibility and power of OpenMP. This book should provide an excellent introduction to beginners, and the performance section should help those with some experience who want to push OpenMP to its limits." —from the foreword by David J. Kuck, Intel Fellow, Software and Solutions Group, and Director, Parallel and Distributed Solutions, Intel Corporation OpenMP, a portable programming interface for shared memory parallel computers, was adopted as an informal standard in 1997 by computer scientists who wanted a unified model on which to base programs for shared memory systems. OpenMP is now used by many software developers; it offers significant advantages over both hand-threading and MPI. Using OpenMP offers a comprehensive introduction to parallel programming concepts and a detailed overview of OpenMP. Using OpenMP discusses hardware developments, describes where OpenMP is applicable, and compares OpenMP to other programming interfaces for shared and distributed memory parallel architectures. It introduces the individual features of OpenMP, provides many source code examples that demonstrate the use and functionality of the language constructs, and offers tips on writing an efficient OpenMP program. It describes how to use OpenMP in full-scale applications to achieve high performance on large-scale architectures, discussing several case studies in detail, and offers in-depth troubleshooting advice. It explains how OpenMP is translated into explicitly multithreaded code, providing a valuable behind-the-scenes account of OpenMP program performance. Finally, Using OpenMP considers trends likely to influence OpenMP development, offering a glimpse of the possibilities of a future OpenMP 3.0 from the vantage point of the current OpenMP 2.5. With multicore computer use increasing, the need for a comprehensive introduction and overview of the standard interface is clear. Using OpenMP provides an essential reference not only for students at both undergraduate and graduate levels but also for professionals who intend to parallelize existing codes or develop new parallel programs for shared memory computer architectures.
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.
Using Opencl
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Author : Janusz Kowalik
language : en
Publisher: IOS Press
Release Date : 2012
Using Opencl written by Janusz Kowalik and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Parallel Programming With Openacc
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Author : Rob Farber
language : en
Publisher: Newnes
Release Date : 2016-10-14
Parallel Programming With Openacc written by Rob Farber and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-14 with Computers categories.
Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort. Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel® Xeon PhiTM as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems. Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and the pitfalls to avoid. Throughout, the book demonstrates how the use of simple working examples that can be adapted to solve application needs. - Presents the simplest way to leverage GPUs to achieve application speedups - Shows how OpenACC works, including working examples that can be adapted for application needs - Allows readers to download source code and slides from the book's companion web page
Using Advanced Mpi
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Author : William Gropp
language : en
Publisher: MIT Press
Release Date : 2014-11-07
Using Advanced Mpi written by William Gropp and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-07 with Computers categories.
A guide to advanced features of MPI, reflecting the latest version of the MPI standard, that takes an example-driven, tutorial approach. This book offers a practical guide to the advanced features of the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. It covers new features added in MPI-3, the latest version of the MPI standard, and updates from MPI-2. Like its companion volume, Using MPI, the book takes an informal, example-driven, tutorial approach. The material in each chapter is organized according to the complexity of the programs used as examples, starting with the simplest example and moving to more complex ones. Using Advanced MPI covers major changes in MPI-3, including changes to remote memory access and one-sided communication that simplify semantics and enable better performance on modern hardware; new features such as nonblocking and neighborhood collectives for greater scalability on large systems; and minor updates to parallel I/O and dynamic processes. It also covers support for hybrid shared-memory/message-passing programming; MPI_Message, which aids in certain types of multithreaded programming; features that handle very large data; an interface that allows the programmer and the developer to access performance data; and a new binding of MPI to Fortran.
Using Mpi
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Author : William Gropp
language : en
Publisher:
Release Date : 1999
Using Mpi written by William Gropp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
Parallel Programming
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Author : Bertil Schmidt
language : en
Publisher: Morgan Kaufmann
Release Date : 2017-11-20
Parallel Programming written by Bertil Schmidt and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-20 with Computers categories.
Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors' open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings. - Covers parallel programming approaches for single computer nodes and HPC clusters: OpenMP, multithreading, SIMD vectorization, MPI, UPC++ - Contains numerous practical parallel programming exercises - Includes access to an automated code evaluation tool that enables students the opportunity to program in a web browser and receive immediate feedback on the result validity of their program - Features an example-based teaching of concept to enhance learning outcomes