UDC 519.6
1 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
 khimich505@gmail.com
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2 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
alex50popov@gmail.com
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A PARALLEL ALGORITHM FOR SOLVING THE PARTIAL EIGENVALUE PROBLEM
FOR BLOCK-DIAGONAL BORDERED MATRICES
Abstract. A hybrid algorithm of the iteration method for the subspace of solution of a partial generalized eigenvalue problem
for symmetric positive definite sparse matrices of block-diagonal structure with bordering on hybrid computers with graphic processors is proposed, efficiency coefficients of the algorithm are obtained, and the algorithm is tested against test and practical problems.
Keywords: algebraic eigenvalue problem, computer of hybrid architecture, hybrid algorithm, subspace iteration method, efficiency of parallel algorithm.
FULL TEXT
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