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Parallel algorithms for matrix computations

K.A. Gallivan, Michael T. Heath, Esmond Ng., James M. Ortega, Barry W. Peyton, R.J. Plemmonss, Charles H. Romine, A.H. Sameh, Robert G. Voigt (Society for Industrial and Applied Mathematics, 1990)

 Abstrak

Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms.
Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra--direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.

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 Metadata

No. Panggil : e20442937
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Philadelphia : Society for Industrial and Applied Mathematics, 1990
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: ix, 197 pages : illustration
Tautan: http://portal.igpublish.com/iglibrary/search/SIAMB0000281.main.html?2
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e20442937 02-17-841592153 TERSEDIA
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