Parallel Numerical Algorithms

David E. Keyes

ISBN 10: 9401062773 / ISBN 13: 9789401062770

Published by Springer Netherlands, 2013

About this Item

Druck auf Anfrage Neuware - Printed after ordering - In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspective to permit working one's way to the frontiers. This book is distinguished from earlier surveys in parallel numerical algorithms by its extension of coverage beyond core linear algebraic methods into tools more directly associated with partial differential and integral equations - though still with an appealing generality - and by its focus on practical medium-granularity parallelism, approachable through traditional programming languages. Several of the authors used their invitation to participate as a chance to stand back and create a unified overview, which nonspecialists will appreciate.

Seller Inventory # 9789401062770

Bibliographic Details

• Title: Parallel Numerical Algorithms
• Publisher: Springer Netherlands
• Publication Date: 2013
• Language: English
• ISBN 10: 9401062773
• ISBN 13: 9789401062770
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 160H x 23D millimeters 240 millimeters width by 160 millimeters height by 23 millimeters depth
• Weight: 655 grams

About this title

Synopsis

In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspective to permit working one's way to the frontiers.
This book is distinguished from earlier surveys in parallel numerical algorithms by its extension of coverage beyond core linear algebraic methods into tools more directly associated with partial differential and integral equations - though still with an appealing generality - and by its focus on practical medium-granularity parallelism, approachable through traditional programming languages.
Several of the authors used their invitation to participate as a chance to stand back and create a unified overview, which nonspecialists will appreciate.

Review

` ... a unique collection of well-written survey articles, covering the state-of-the-art in the rapidly evolving field of parallel numerical algorithms. Highly recommended!'
Newsletter on Computational and Applied Mathematics, 13 (1997)