Hybrid Algorithms for Solving the Algebraic Eigenvalue Problem with Sparse Matrices

Hybrid algorithms for solving the partial generalized eigenvalue problem for symmetric positive definite sparse matrices of different structures by hybrid computers with graphic processors are proposed, coefficients for the efficiency of the algorithms are obtained, and approbation of the developed...

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Vydané v:	Cybernetics and systems analysis Ročník 53; číslo 6; s. 937 - 949
Hlavní autori:	Khimich, A. N., Popov, A. V., Chistyakov, O. V.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.11.2017 Springer Springer Nature B.V
Predmet:	Algorithms Analysis Artificial Intelligence Control Eigenvalues Hybrid computers Mathematical analysis Mathematics Mathematics and Statistics Matrix methods Processor Architectures Processors Software Engineering/Programming and Operating Systems Software–Hardware Systems Sparse matrices Sparsity Systems Theory computer of hybrid architecture conjugate gradient methods algebraic eigenvalue problem efficiency of parallel algorithms hybrid algorithm subspace iteration method
ISSN:	1060-0396, 1573-8337
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