Introduction to Parallel Programming

Name: Introduction to Parallel Programming
Price: 7.74 USD
Availability: InStock
ISBN: 9780123742605

ISBN-10: 0123742609

ISBN-13: 9780123742605

Edition: 2012

Authors: Peter Pacheco

List price: $62.99

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Description:

Until recently parallel programming was considered a skill needed by a relatively small number of specialists. As a consequence most programmers and many computer science students have at best a nodding acquaintance with any aspect of parallel computing. However, with the advent of widely available clusters and multicore processors, parallel programming is no longer just for specialists. In order to fully exploit the power of these systems, it's essential that many more programmers learn the basics of distributed- and shared-memory parallel programming. Many colleges and universities are integrating parallel programming into their computer science cirricula. Furthermore, because of the huge…

Book details

List price: $62.99
Copyright year: 2012
Publisher: Elsevier Science & Technology
Publication date: 2/17/2011
Binding: Hardcover
Pages: 392
Size: 7.50" wide x 9.21" long x 1.00" tall
Weight: 2.134
Language: English




Why Parallel Computing



Why We Need Ever-Increasing Performance



Why We're Building Parallel Systems



Why We Need to Write Parallel Programs



How Do We Write Parallel Programs?



What We'll Be Doing



Concurrent, Parallel, Distributed



The Rest of the Book



A Word of Warning



Typographical Conventions



Summary



Exercises



Parallel Hardware and Parallel Software



Some Background



Modifications to the von Neumann Model



Parallel Hardware



Parallel Software



Input and Output



Performance



Parallel Program Design



Writing and Running Parallel Programs



Assumptions



Summary



Exercises



Distributed Memory Programming with MPI



Getting Started



The Trapezoidal Rule in MPI



Dealing with I/O



Collective Communication



MPI Derived Datatypes



A Parallel Sorting Algorithm



Summary



Exercises



Programming Assignments



Shared Memory Programming with Pthreads



Processes, Threads and Pthreads



Hello, World



Matrix-Vector Multiplication



Critical Sections



Busy-Waiting



Mutexes



Producer-Consumer Synchronization and Semaphores



Barriers and Condition Variables



Read-Write Locks



Caches, Cache-Coherence, and False Sharing



Thread-Safety



Summary



Exercises



Programming Assignments



Shared Memory Programming with OpenMP



Getting Started



The Trapezoidal Rule



Scope of Variables



The Reduction Clause



The Parallel For Directive



More About Loops in OpenMP: Sorting



Scheduling Loops



Producers and Consumers



Caches, Cache-Coherence, and False Sharing



Thread-Safety



Summary



Exercises



Programming Assignments



Parallel Program Development



Two N-Body Solvers



Tree Search



A Word of Caution



Which API?



Summary



Exercises



Programming Assignments



Where to Go from Here