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Optimize code for multi-core processors with Intel's Parallel Studio Parallel programming is rapidly becoming a "must-know" skill for developers. Yet, where to start? This teach-yourself tutorial is an ideal starting point for developers who already know Windows C and C++ and are eager to add parallelism to their code.

Apache Hadoop is ideal for organizations with a growing need to store and process massive application datasets. With Hadoop: The Definitive Guide, programmers will find details for analyzing large datasets with Hadoop, and administrators will learn how to set up and run Hadoop clusters.

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.

The roadmap for developers wanting to maximize their applications for multi-core architecture using Visual Studio 2010.

Written by top researchers Larry Snyder and Calvin Lin, this highly anticipated first edition emphasizes the principles underlying parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. Introduction: Parallelism = Opportunities + Challenges; Introduction: Parallelism = Opportunities + Challenge...

A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing--a reference for students and professionals.

Synchronization is a fundamental challenge in computer science. This text gives a view of aspects of synchronization algorithms. It helps computer science students, programmers, system designers and researchers to solve problems and master techniques, provided in introductory texts on operating systems, distributed computing and concurrency.

From a winner of the ACM/SIGCSE Award, this introduction to concurrency takes into account the importance of concurrency constructs in programming languages and of formal methods such as model checking. It focuses on algorithmic principles, and the use of the Spin model checker for modeling concurrent systems and verifying program correctness.

This accessible text covers the techniques of parallel programming in a practical manner that enables readers to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on n...

A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.

Intends to establish a theory of approximate correctness and infinite evolution of concurrent programs by employing some notions and tools from point-set topology. This book is suitable for professionals, researchers and graduate students in theoretical computer science and formal methods.

Focuses on the area of parallel and distributed computing, and considers the diverse approaches. Covering a comprehensive set of models and paradigms, this book serves as both an introduction and a survey. It is suitable for students and can be used as a foundation for parallel and distributed computing courses.

This text addresses the study of compiler transformations for parallel aspects of sophisticated scheduling problems, primarily task-graph scheduling and loop-nest scheduling. The presentation is self-contained and complete with detailed code for algorithms, proofs and selected exercise sets.

OpenMP is an industry standard for programming shared-memory and distributed shared-memory multiprocessors. This book teaches the parallel programmers how to program using this standard. It presents the basic OpenMP constructs in FORTRAN, C, and C++. It emphasizes practical concepts to address the concerns of real application developers.

Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance. Features Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary,...

Using MPI is a completely up-to-date version of the authors' 1994 introduction to the core functions of MPI. It adds material on the new C++ and Fortran 90 bindings for MPI throughout the book.