Heterogeneous Implementation of Preconditioners Based on Gauss–Seidel Method for Sparse Block Matrices

In this paper we present a parallel preconditioner algorithm for the Krylov-type iterative method based on the multicolor Gauss–Seidel method and its transferable heterogeneous software implementation using the OpenCL computational standard. A special feature is its application to block sparse matri...

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Bibliographic Details
Published in:	Computational mathematics and modeling Vol. 33; no. 4; pp. 438 - 442
Main Authors:	Magomedov, A. R., Gorobets, A. V.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2022 Springer Nature B.V
Subjects:	Algorithms Applications of Mathematics Compressibility Computational Mathematics and Numerical Analysis Gauss-Seidel method Hybrid systems II. Numerical Methods Iterative methods Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Optimization Sparse matrices Gauss–Seidel method hybrid computing systems preconditioner sparse matrices
ISSN:	1046-283X, 1573-837X
Online Access:	Get full text
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