Parallel Numerical Linear Algebra

Parallel Numerical Linear Algebra (1997)

by James W. Demmel , Michael T. Heath , Henk A. van der Vorst

Venue:	Society for Industrial and Applied Mathematics
Citations:	416 - 23 self

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Datum	Value	Source
TITLE	Parallel Numerical Linear Algebra	user correction
AUTHOR NAME	James W. Demmel	user correction
AUTHOR AFFIL	Computer Science Division and Mathematics Department, University of California	user correction
AUTHOR ADDR	Berkeley CA 94720	user correction
AUTHOR NAME	Michael T. Heath	user correction
AUTHOR NAME	Henk A. van der Vorst	user correction
AUTHOR AFFIL		user correction
AUTHOR ADDR		user correction
ABSTRACT	We survey general techniques and open problems in numerical linear algebra on parallel architectures. We first discuss basic principles of parallel processing, describing the costs of basic operations on parallel machines, including general principles for constructing efficient algorithms. We illustrate these principles using current architectures and software systems, and by showing how one would implement matrix multiplication. Then, we present direct and iterative algorithms for solving linear systems of equations, linear least squares problems, the symmetric eigenvalue problem, the nonsymmetric eigenvalue problem, the singular value decomposition, and generalizations of these to two matrices. We consider dense, band and sparse matrices.	SVM HeaderParse 0.1
YEAR	1997	INFERENCE
VENUE	Society for Industrial and Applied Mathematics	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	184 found	ParsCit 1.0