Isbn: 9780262731188 - parallel programming using c++ (17 risultati)

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Softcover. Condizione: Bon. Ancien livre de bibliothèque. Traces de pliures sur la couverture. Légères traces d'usure sur la couverture. Salissures sur la tranche. Pages cornées. Edition 1996. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Traces of creases on the cover. Slight signs of wear on the cover. Stains on the edge. Dog-eared pages. Edition 1996. Ammareal gives back up to 15% of this item's net price to charity organizations.…

paperback. Condizione: New. In shrink wrap. Looks like an interesting title.

Condizione: New. 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. Editor(s): Wilson, Gregory V.; Lu, Paul. Series: Scientific and Engineering Computation. Num Pages: 760 pages, bibliography, indexes. BIC Classification: UMN; UMX; UYFP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 152 x 40. Weight in Grams: 1248. . 1996. Paperback. . . . . …

Condizione: New. In English.

Condizione: Gut. Zustand: Gut | Seiten: 794 | Sprache: Englisch | Produktart: Bücher | 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.…

Condizione: New. 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. Editor(s): Wilson, Gregory V.; Lu, Paul. Series: Scientific and Engineering Computation. Num Pages: 760 pages, bibliography, indexes. BIC Classification: UMN; UMX; UYFP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 152 x 40. Weight in Grams: 1248. . 1996. Paperback. . . . . Books ship from the US and Ireland. …

Paperback. Condizione: Brand New. 758 pages. 9.00x7.25x1.75 inches. In Stock.

paperback. Condizione: Good. Good .Ships From Multiple Locations. book.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand pp. 760.

Condizione: New. Print on Demand pp. 760.

Condizione: New. PRINT ON DEMAND pp. 760.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.Foreword by Bjarne Stroustrup Software is g.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Taschenbuch. Condizione: Neu. Parallel Programming Using C++ | Gregory V. Wilson (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1996 | MIT Press | EAN 9780262731188 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …