A GPU-based hyperbolic SVD algorithm (CROSBI ID 171128)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Novaković, Vedran ; Singer, Sanja
engleski
A GPU-based hyperbolic SVD algorithm
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.
one-sided Jacobi algorithm ; hyperbolic singular value decomposition ; symmetric indefinite eigenvalue problem ; GPU parallel programming
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Podaci o izdanju
51 (4)
2011.
1009-1030
objavljeno
0006-3835
1572-9125
10.1007/s10543-011-0333-5