Parallel Numerical Algorithms

By: David E. Keyes (Editor), Ahmed Sameh (Editor), V. Venkatakrishnan (Editor)

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Hardcover | 31 January 1997

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Hardcover
412 Pages

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25.4 x 17.78 x 3.18

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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.

Industry Reviews

` ... 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)

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Computer Architecture & Logic Design Parallel Processing Mathematics Applied Mathematics Engineering & Technology Technology in General Engineering in General

Algebra Computer Hardware Mainframes & Minicomputers Calculus & Mathematical Analysis Differential Calculus & Equations

Preface
Dedication
Parallel Numerical Algorithms: An Introduction	p. 1
On Parallel Numerical Software Libraries	p. 17
Parallel Direct Methods for Sparse Linear Equations	p. 55
Linear System Solvers: Sparse Iterative Methods	p. 91
Implicitly Restarted Arnoldi/Lanczos Methods for Large Scale Eigenvalue Calculations	p. 119
Approximate and Incomplete Factorizations	p. 167
Parallel Multigrid Methods	p. 203
Domain Decomposition Methods for Partial Differential Equations	p. 225
Parallel FFTs	p. 245
Some Empirical Results on Using Multipole-Accelerated Iterative Methods to Solve 3-D Potential Integral Equations	p. 267
Multiresolution Representation and Numerical Algorithms: A Brief Review	p. 289
Graph Partitioning Algorithms with Applications to Scientific Computing	p. 323
An Introduction to Performance Debugging for Parallel Computers	p. 369
NAS Parallel Benchmark Results	p. 383
Table of Contents provided by Blackwell. All Rights Reserved.

Parallel Numerical Algorithms

At a Glance

Hardcover

Industry Reviews

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How to return your order

Defective items

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