An Introduction to Parallel Programming

User-friendly teaching practice studentshow to compile, run and modify the sample program. Main features: Take a tutorial approach, beginning with examples of programming a small and progressive development of more challenging examples Focus on designing, debugging and evaluating program performance distributed shared-memory and Describes how to develop parallel programs using MPI, pthreads, OpenMP programming model.

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Parallel Programming in OpenMP

Aimed at researchers who work or scientific C / C + + or Fortran programmers, Parallel Programming in OpenMP two standards describe what and how to use them to create software that takes full advantage of parallel computing. At its core, OpenMP is very simple. Techniques explored include how to tweak the default direction paralleled to a certain situation, how to use the parallel region (beyond simple loop), and the dos and don'ts of effective synchronization (with critical sections and barriers). The book is completed with some advice very good for how to work with the current system cache mechanism OpenMP-compliant. Overall, Parallel Programming in OpenMP introduce appropriate research programmer for a new vocabulary of idioms and techniques for parallelizing software using OpenMP -. Richard Dragan Topics covered: Overview of OpenMP programming standard for shared-memory multiprocessors Description OpenMP directives for Fortran OpenMP parallel hardware and pragmas for C / C + + Parallelizing simple do-loop parallel / parallel to the direction of shared and private scoping for variable reduction surgery thread data dependence and how to remove them OpenMP performance problems (work fairly, balancing the load in the loop, the scheduling option) Parallel mode area parallelize arbitrary blocks of code (master and slave threads, and paragraph copyin threadprivate direction) parallel work queue task number Divide by sharing thread Restrictions on work-sharing Noniterative Orphaning work Nested parallel regions in OpenMP parallelism control, including controlling the number of threads, dynamic threads, and OpenMP library calls for synchronization of data OpenMP threads Avoiding Critical race landing part (nested critical sections and atomic directive name and OpenMP Runtime library lock routines Event synchronization (barrier landing and part ordered) Custom synchronization, including the directive flush Programming tips for the performance of synchronization problems with the Act load balancing's Amdahl OpenMP for manual code parallelized to write code paralleled that matches the processor cache Avoiding false synchronization instructions Performance sharing problem for bus-based and Non-Uniform Memory Access (NUMA) machine quick reference OpenMP.

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Parallel Programming in C with MPI and OpenMP

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 OpenMP" addresses 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. 

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Using OpenMP

Kuck, Intel Software, Fellow and Solutions Group, and Director, Parallel and Distributed Solutions, Intel Corporation OpenMP, a portable programming interface for shared memory parallel computers, has been adopted as an informal standard in 1997 by computer scientists who want a single model on which the program to the shared memory system. Using OpenMP offers a comprehensive introduction to parallel programming concepts and detailed overview of OpenMP. Using OpenMP discusses hardware developments, describes where OpenMP applicable, and compares OpenMP to other programming interfaces parallel and distributed shared memory architecture. Finally, Using OpenMP considers trends likely to influence OpenMP development, offering a glimpse of the possibility of a future OpenMP 3.0 from the viewpoint of the current OpenMP 2.5. With multicore computer use increasing, the need for a comprehensive introduction and overview of the standard interface that clearly provides. Using OpenMP important reference not only for students both at undergraduate and postgraduate level, but also for professionals who intend to parallelize existing codes or develop The new parallel programs for shared memory computer architecture. 

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Examples from book : http://openmp.org/examples/Using-OpenMP-Examples-Distr.zip