Openmp In Practice
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OpenMP in Practice
"OpenMP in Practice" "OpenMP in Practice" is an expertly structured guide that delivers a comprehensive exploration of OpenMP, the industry-standard API for parallel programming on shared-memory architectures. The book starts with essential concepts such as execution models, language bindings for C, C++, and Fortran, and the evolution of OpenMP’s features, providing readers a strong foundation in both the standard’s philosophy and its practical implementations. Detailed discussions on memory consistency, programming models, and the intricate relationship between compilation, runtimes, and system architectures highlight the breadth and depth required for professional-level parallel programming. Building on these fundamentals, this book delves deeply into the engineering of scalable, high-performance applications. It addresses core techniques for controlling parallelism, synchronization, and data sharing, including advanced tasking, nested parallelism, sophisticated scheduling controls, and the avoidance of data races. The chapters on performance tuning are particularly invaluable, guiding readers through profiling, minimizing overhead, optimizing for NUMA architectures, and adapting to modern heterogeneous computing environments such as GPUs and FPGAs using OpenMP’s powerful offloading capabilities. Real-world strategies for debugging, regression testing, code maintainability, and hybrid programming with MPI extend the book’s practical utility. Looking to the future, "OpenMP in Practice" situates OpenMP within the evolving landscape of high-performance computing. The final chapters offer an incisive perspective on recent advances in the specification, the challenges of scalability, and trends in emerging hardware and domain-specific applications. Case studies illuminate best practices—and pitfalls—in large-scale deployments, while discussions of community ecosystem growth and open research topics ensure readers are well equipped to push the boundaries of parallel programming. For engineers, researchers, and advanced students alike, this book is an essential resource for mastering OpenMP in modern computing.
OpenMP Shared Memory Parallel Programming
Author: Matthias S. Müller
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-05-21
This book constitutes the thoroughly refereed post-workshop proceedings of the First and the Second International Workshop on OpenMP, IWOMP 2005 and IWOMP 2006, held in Eugene, OR, USA, and in Reims, France, in June 2005 and 2006 respectively. The first part of the book presents 16 revised full papers carefully reviewed and selected from the IWOMP 2005 program and organized in topical sections on performance tools, compiler technology, run-time environment, applications, as well as the OpenMP language and its evaluation. In the second part there are 19 papers of IWOMP 2006, fully revised and grouped thematically in sections on advanced performance tuning aspects of code development applications, and proposed extensions to OpenMP.
Using OpenMP
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.