Name: An Introduction to Parallel and Vector Scientific Computation Hardback (Cambridge Texts in Applied Mathematics) (en Inglés)
SKU: 1803499
Price: 105.28 USD
Availability: InStock
Author: Shonkwiler; Lefton

portada An Introduction to Parallel and Vector Scientific Computation Hardback (Cambridge Texts in Applied Mathematics) (en Inglés)

An Introduction to Parallel and Vector Scientific Computation Hardback (Cambridge Texts in Applied Mathematics) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Shonkwiler; Lefton

Año

2006

Idioma

Inglés

N° páginas

308

Encuadernación

Tapa Dura

Peso

ISBN

052186478X

ISBN13

9780521864787

N° edición

Categorías

Sistemas distribuidos

An Introduction to Parallel and Vector Scientific Computation Hardback (Cambridge Texts in Applied Mathematics) (en Inglés)

Shonkwiler; Lefton (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "An Introduction to Parallel and Vector Scientific Computation Hardback (Cambridge Texts in Applied Mathematics) (en Inglés)"

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.