Parallel numerical algorithms
 Responsibility
 edited by David E. Keyes, Ahmed Sameh and V. Venkatakrishnan.
 Language
 English.
 Imprint
 Dordrecht ; Boston : Kluwer Academic Publishers, c1997.
 Physical description
 xi, 395 p. : ill. ; 25 cm.
 Series
 ICASE/LaRC interdisciplinary series in science and engineering ; v. 4.
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QA76.9 .A43 P35 1997

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QA76.9 .A43 P35 1997
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Creators/Contributors
Contents/Summary
 Bibliography
 Includes bibliographical references.
 Contents

 Preface. Parallel Numerical Algorithms: An Introduction D.E. Keyes. Linear Systems. On Parallel Numerical Software Libraries J.W. Demmel. Parallel Direct Methods for Sparse Linear Equations M.T. Heath. Linear System Solvers: Sparse Iterative Methods H.A. van der Vorst, T.F. Chan. Implicitly Restarted Arnoldi/Lanczos Methods for Large Scale Eigenvalue Calculations D.C. Sorensen. Preconditioning. Approximate and Incomplete Factorizations T.F. Chan, H.A. van der Vorst. Parallel Multigrid Methods J.E. Jones, S.F. McCormick. Domain Decomposition Methods for Partial Differential Equations B.F. Smith. Fast Application of Operators. Parallel FFTs R.B. Pelz. Some Empirical Results on Using MultipoleAccelerated Iterative Methods to Solve 3D Potential Integral Equations F.T. Korsmeyer, et al. Multiresolution Representation and Numerical Algorithms: A Brief Review A. Harten. Parallel Tools, Environments, And Benchmarking. Graph Partitioning Algorithms with Applications to Scientific Computing A. Pothen. An Introduction to Performance Debugging for Parallel Computers W.D. Gropp. NAS Parallel Benchmark Results D.H. Bailey.
 (source: Nielsen Book Data)
 Publisher's Summary
 In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of largescale parallelism, leading algorithmicists survey their own fielddefining 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 mediumgranularity 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.
(source: Nielsen Book Data)  Supplemental links

Publisher description
Table of contents only
Subjects
Bibliographic information
 Publication date
 1997
 Series
 ICASE/LaRC interdisciplinary series in science and engineering ; v. 4
 ISBN
 0792342828 (acidfree paper)
 9780792342823 (acidfree paper)