Name: Foundations of Parallel Programming (Cambridge International Series on Parallel Computation) (en Inglés)
Price: 222.69 PEN
Availability: InStock
Author: D. B. Skillicorn; David Skillicorn
ISBN: 9780521018562

portada Foundations of Parallel Programming (Cambridge International Series on Parallel Computation) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

D. B. Skillicorn; David Skillicorn

Año

2005

Idioma

Inglés

N° páginas

212

Encuadernación

Tapa Blanda

ISBN

0521018560

ISBN13

9780521018562

N° edición

Categorías

Programación informática - desarrollo de software

Foundations of Parallel Programming (Cambridge International Series on Parallel Computation) (en Inglés)

D. B. Skillicorn; David Skillicorn (Autor) · Cambridge University Press · Tapa Blanda

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Reseña del libro "Foundations of Parallel Programming (Cambridge International Series on Parallel Computation) (en Inglés)"

The major reason for the lack of use of parallel computing is the mismatch between the complexity and variety of parallel hardware, and the software development tools to program it. The cost of developing software needs to be amortised over decades, but the platforms on which it executes change every few years, requiring complete rewrites. The evident cost-effectiveness of parallel computation has not been realized because of this mismatch. This book presents an integrated approach to parallel software development by addressing both software and performance issues together. It presents a methodology for software construction that produces architecture-independent and intellectually abstract software. The software can execute efficiently on a range of existing and potential hardware configurations. The approach is based on the construction of categorical data types, a generalization of abstract data types, and of objects. Categorical data types abstract both from the representation of a data type, and also from the detailed control flow necessary to perform operations on it. They thus impose a strong separation between the semantics, on which programs can depend, and the implementation, which is therefore free to hide the parallel machine properties that are used.