A GPU-based hyperbolic SVD algorithm

Computer Science – Numerical Analysis

Scientific paper

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Accepted for publication in BIT Numerical Mathematics

Scientific paper

10.1007/s10543-011-0333-5

A one-sided Jacobi hyperbolic singular value decomposition (HSVD) algorithm, using a massively parallel graphics processing unit (GPU), is developed. The algorithm also serves as the final stage of solving a symmetric indefinite eigenvalue problem. Numerical testing demonstrates the gains in speed and accuracy over sequential and MPI-parallelized variants of similar Jacobi-type HSVD algorithms. Finally, possibilities of hybrid CPU--GPU parallelism are discussed.

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