Parallel Programming Using C++

Gregory V. Wilson, Paul Lu, William Gropp, Ewing Lusk (Herausgeber)

Buch | Softcover

760 Seiten

1996
MIT Press (Verlag)
978-0-262-73118-8 (ISBN)

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Presents a broad survey of efforts to use C++ on high performance parallel computers and clusters of workstations. This text includes 16 different dialects and libraries, which are described by their developers and illustrated with many small example programs.

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.

Gregory Wilson is Head of Instructor Training at Data Camp, Cofounder of Software Carpentry, and editor of Beautiful Code, Making Software, and The Architecture of Open Source Applications. 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.

A perspective on concurrency and C++, Bjarne Stroustrup; ABC++, William G. O'Farrell et al; The Amelia Vector template library, Thomas J. Sheffler; CC++, Carl Kesselman; CHAOS++, Chialin Chang et al; CHARM++, Laxmikant V. Kale, Sanjeev Krishnan; COOL, Rohit Chandra et al; C++//, Denis Caromel et al; C**, James R. Larus et al; ICC++, Andrew A. Chien, Julian T. Dolby; Mentat, Andrew S. Grimshaw et al; MPC++, Yutaka Ishikawa et al; MPI++, Anthony Skjellum et al; PC++, Shelby X. Yang et al; POOMA, John V.W. Reynders et al; TAU, Bernd Mohr et al; UC++, Russel Winder et al. Appendices: an overview of C++; an overview of parallel computing; an overview of polygon overlay.

Reihe/Serie	Scientific and Engineering Computation
Verlagsort	Cambridge, Mass.
Sprache	englisch
Maße	152 x 229 mm
Gewicht	1247 g
Themenwelt	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
	Informatik ► Software Entwicklung ► Objektorientierung
	Mathematik / Informatik ► Informatik ► Theorie / Studium
ISBN-10	0-262-73118-5 / 0262731185
ISBN-13	978-0-262-73118-8 / 9780262731188
Zustand	Neuware