Parallel algorithms for solving linear systems with block-tridiagonal matrices on multi-core CPU with GPU

Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/51207

Title:	Parallel algorithms for solving linear systems with block-tridiagonal matrices on multi-core CPU with GPU
Authors:	Akimova, Elena N. Belousov, D. V.
Issue Date:	2012
Citation:	Akimova E. N. Parallel algorithms for solving linear systems with block-tridiagonal matrices on multi-core CPU with GPU / Elena N. Akimova, D. V. Belousov // Journal of Computational Science. — 2012. — Vol. 3. — № 6. — P. 445-449.
Abstract:	For solving systems of linear algebraic equations with block-tridiagonal matrices arising in geoelectrics problems, the parallel matrix sweep algorithm, conjugate gradient method with preconditioner, and square root method are proposed and implemented numerically on multi-core CPU Intel with graphics processors NVIDIA. Investigation of efficiency and optimization of parallel algorithms for solving the problem with quasi-model data are performed. © 2012.
Keywords:	BLOCK-TRIDIAGONAL SLAE DIRECT AND ITERATIVE NUMERICAL METHODS MULTI-CORE CPU AND GRAPHICS PROCESSORS NVIDIA PARALLEL ALGORITHMS
URI:	http://elar.urfu.ru/handle/10995/51207
Access:	info:eu-repo/semantics/restrictedAccess
SCOPUS ID:	84867209814
PURE ID:	1072394
ISSN:	1877-7503
DOI:	10.1016/j.jocs.2012.08.004
Appears in Collections:	Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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