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This textbook covers the new development in processor architecture and parallel hardware. It provides 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. The 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. In particular, this third edition includes an extended update of the chapter on computer architecture and performance analysis taking new developments such as the aspect of energy consumption into consideration. The description of OpenMP has been extended and now also captures the task concept of OpenMP. The chapter on message-passing programming has been extended and updated to include new features of MPI such as extended reduction operations and non-blocking collective communication operations. The chapter on GPU programming also has been updated. All other chapters also have been revised carefully. The main goal of this book is to present parallel programming techniques that can be used in many situations for many application areas and to enable the reader to develop correct and efficient parallel programs. Many example programs and exercises are provided to support this goal and to show how the techniques can be applied to further applications. The book can be used as a textbook for students as well as a reference book for professionals. The material of the book has been used for courses in parallel programming at different universities for many years.

Multiprocessors. --- Parallel programming (Computer science)

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Parallel programming (Computer science) --- Transputers --- Programmation parallèle (Informatique) --- Programming

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Parallel programming (Computer science) --- Programmation parallèle (Informatique)

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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.

Programming --- Parallel programming (Computer science) --- Programmation parallèle (Informatique) --- Parallel programming (Computer science). --- Programmation parallèle (Informatique) --- Programmation parallèle (informatique)

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Programming --- Computer science --- Parallel programming (Computer science) --- Programmation parallèle (Informatique) --- Programmation parallèle (Informatique)