Please use this identifier to cite or link to this item: http://hdl.handle.net/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://hdl.handle.net/10995/51207
metadata.dc.rights: 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, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
10.1016j.jocs.2012.08.004_2012.pdf301,67 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.