Singer, Sanja and Novaković, Vedran (2011) A GPU-based hyperbolic SVD algorithm. = A GPU-based hyperbolic SVD algorithm. BIT Numerical Mathematics, 51 (4). pp. 1009-1030. ISSN 0006-3835. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q3 (2011). .
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Abstract
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. © 2011 Springer Science + Business Media B.V.
| Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
|---|---|
| Keywords (Croatian): | GPU parallel programming; Hyperbolic singular value decomposition; One-sided Jacobi algorithm; Symmetric indefinite eigenvalue problem |
| Subjects: | NATURAL SCIENCES > Mathematics TECHNICAL SCIENCE |
| Indexed in Web of Science: | Yes |
| Indexed in Current Contents: | Yes |
| Citations JCR: | 4 (23.4.2015.) |
| Quartiles: | Q3 (2011) |
| Citations SCOPUS: | 5 (23.4.2015.) |
| Date Deposited: | 23 Apr 2015 10:06 |
| Last Modified: | 23 May 2017 11:20 |
| URI: | http://repozitorij.fsb.hr/id/eprint/3767 |
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