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Parallel Programming Using C++ (Scientific and Engineering Computation) (Paperback)

~ Gregory V. Wilson (Editor), Paul Lu (Editor) "ABC++ was designed to support architecture-independent parallel programming in C++..." (more)
Key Phrases: mentat object, polygon overlay example, polygon overlay program, Thinking Machines, Chare Kernel, Intel Paragon (more...)

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Product Description

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. Scientific and Engineering Computation series

About the Author

Gregory V. Wilson is a member of the technical staff at Visible Decisions, Inc. in Toronto, and author of Practical Parallel Programming. Paul Lu is a Ph.D. candidate in the Department of Computer Science at the University of Toronto.

Product Details

Paperback: 760 pages
Publisher: The MIT Press (July 8, 1996)
Language: English
ISBN-10: 0262731185
ISBN-13: 978-0262731188
Product Dimensions: 9 x 7.1 x 1.6 inches
Shipping Weight: 3 pounds (View shipping rates and policies)
Average Customer Review: No customer reviews yet. Be the first.
Amazon.com Sales Rank: #1,487,896 in Books (See Bestsellers in Books)

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Inside This Book (learn more)

First Sentence:
ABC++ was designed to support architecture-independent parallel programming in C++. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mentat object, polygon overlay example, polygon overlay program, mentat class, polygon overlay problem, data movement routines, affinity hints, syntax tree object, parallelism encapsulation, concurrency guarantees, object consistency model, polygon overlay algorithm, spawn statement, overlay phase, sync variable, collide phase, replicated algorithm, sync pointer, stencil function, member function invocation, stencil algorithms, overlay code, one active object, concurrent aggregates, global void

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Thinking Machines, Chare Kernel, Intel Paragon, Multiblock Parti, Conjugate Gradient, Convex Exemplar, Panel Cholesky, Standard Template Library, Grand Challenge, Algorithm Unsegmented Segmented Comment, Component Layer, Parallel Abstraction Layer, Application Layer, High Performance Fortran, Naive Approach, University of Illinois, Visual Dagger, Advanced Computing Laboratory, Global Layer, Numerical Tokamak, Ocean Code, World Wide Web

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Citations (learn more)

This book cites 54 books:

Parallel Programming by Louis Baker on 5 pages
Object-Oriented Concurrent Programming (Artificial Intelligence) by Akinori Yonezawa in Back Matter (1), Back Matter (2), and Back Matter (3)
Computer Science by Andrew Meyenn in Front Matter, and Back Matter
The High Performance Fortran Handbook (Scientific and Engineering Computation) by Charles H. Koelbel in Front Matter, and Back Matter
The Connection Machine (Mit Press Series in Artificial Intelligence) by W. Daniel Hillis in Back Matter (1), and Back Matter (2)

See all 54 books this book cites

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