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AbstractThe ready to use set of functions to facilitatesolving a generalized eigenvalue problem for symmetricmatrices in order to efficiently calculate eigenvalues andeigenvectors, using Compute Unified Device Architecture(CUDA) technology from NVIDIA, is provided. An integralpart of the CUDA is the high level programming environmentenabling tracking both code executed on Central ProcessingUnit and on Graphics Processing Unit. The presentedmatrix structures allow for the analysis of the advantagesof using graphics processors in such calculations.
Open Computer Science – de Gruyter
Published: Jan 1, 2016
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