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ePub Parallel Programming Using C++ (Scientific and Engineering Computation) download

by Gregory V. Wilson,Paul Lu,William Gropp,Ewing Lusk

ePub Parallel Programming Using C++ (Scientific and Engineering Computation) download
Author:
Gregory V. Wilson,Paul Lu,William Gropp,Ewing Lusk
ISBN13:
978-0262731188
ISBN:
0262731185
Language:
Publisher:
The MIT Press (July 8, 1996)
Category:
Subcategory:
Programming Languages
ePub file:
1943 kb
Fb2 file:
1550 kb
Other formats:
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Rating:
4.6
Votes:
188

For the parallel programming community, a common parallel application is discussed in each chapter, as part of the description of the system itself

Parallel Programming Using C++ (Scientific and Engineering Computation). Gregory V. Wilson is a member of the technical staff at Visible Decisions, Inc. in Toronto.

Parallel Programming Using C++ (Scientific and Engineering Computation). Series: Scientific and Engineering Computation.

Series: Scientific and Engineering Computation. Hardcover: 576 pages.

Gregory V. Publisher: The MIT Press (November 21, 1995). ISBN-13: 978-0262231862. Product Dimensions: . x . x 9 inches.

Parallel Scientific Computation: A Structured Approach using BSP and MPI.

Using PLAPACK: Parallel Linear Algebra Package, Robert A. van de Geijn, 1997. Page ii. Fortran 95 Handbook, Jeanne C. Adams, Walter S. Brainerd, Jeanne T. Martin, Brian T. Smith, Jerrold L. Wagener, 1997. Using MPI-2: Advanced Features of the Message-Passing Interface, William Gropp, Ewing Lusk, and Rajeev Thakur, 1999.

Items related to Parallel Programming Using C++ (Scientific and Engineering. Published by The MIT Press (1996). Parallel Programming Using C++ (Scientific and Engineering Computation). ISBN 13: 9780262731188. William Gropp is Director of the Parallel Computing Institute and Thomas M. Siebel Chair in Computer Science at the University of Illinois Urbana-Champaign. Ewing Lusk is Argonne Distinguished Fellow Emeritus at Argonne National Laboratory. ISBN 10: 0262731185 ISBN 13: 9780262731188.

William Gropp, Ewing Lusk, Anthony Skjellum. The Message Passing Interface (MPI) specification is widely used for solving significant scientific and engineering problems on parallel computers. ISBN: 0262571323; Издательство: The MIT Press. There exist more than a dozen implementations on computer platforms ranging from IBM SP-2 supercomputers to clusters of PCs running Windows NT or Linux ("Beowulf" machines). The initial MPI Standard document, MPI-1, was recently updated by the MPI Forum

Using MPI: portable parallel programming with the message-passing. MPI The Complete Reference: Volume 1, The MPI Core, Marc Snir, Steve Otto, Steven Huss-Lederman, David Walker, and Jack Dongarra, 1998. Using MPI: portable parallel programming with the message-passing. interface/William Gropp, Ewing Lusk, Anthony Skjellum. This book offers a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel computers.

Foreword by Bjarne Stroustrup Software is generally acknowledged to be the single greatest obstacle preventing mainstream adoption of massively-parallel computing. While sequential applications are routinely ported to platforms ranging from PCs to mainframes, most parallel programs only ever run on one type of machine. One reason for this is that most parallel programming systems have failed to insulate their users from the architectures of the machines on which they have run. Those that have been platform-independent have usually also had poor performance. Many researchers now believe that object-oriented languages may offer a solution. By hiding the architecture-specific constructs required for high performance inside platform-independent abstractions, parallel object-oriented programming systems may be able to combine the speed of massively-parallel computing with the comfort of sequential programming. Parallel Programming Using C++ describes fifteen parallel programming systems based on C++, the most popular object-oriented language of today. These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control parallelism. For the parallel programming community, a common parallel application is discussed in each chapter, as part of the description of the system itself. By comparing the implementations of the polygon overlay problem in each system, the reader can get a better sense of their expressiveness and functionality for a common problem. For the systems community, the chapters contain a discussion of the implementation of the various compilers and runtime systems. In addition to discussing the performance of polygon overlay, several of the contributors also discuss the performance of other, more substantial, applications. For the research community, the contributors discuss the motivations for and philosophy of their systems. As well, many of the chapters include critiques that complete the research arc by pointing out possible future research directions. Finally, for the object-oriented community, there are many examples of how encapsulation, inheritance, and polymorphism can be used to control the complexity of developing, debugging, and tuning parallel software.