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Parallel Numerical Algorithms

  • Book
  • © 1997

Overview

Part of the book series: ICASE LaRC Interdisciplinary Series in Science and Engineering (ICAS, volume 4)

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About this book

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.

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Table of contents (14 chapters)

  1. Parallel Numerical Algorithms: An Introduction

  2. Linear Systems

  3. Preconditioning

  4. “Fast” Application of Operators

  5. Parallel Tools, Environments, and Benchmarking

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)

Editors and Affiliations

  • Old Dominion University, Norfolk, USA

    David E. Keyes

  • ICASE, Hampton, USA

    David E. Keyes, V. Venkatakrishnan

  • University of Minnesota, Minneapolis, USA

    Ahmed Sameh

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