Proceedings Article10.1117/12.2636414
Research on parallel algorithms for solving tridiagonal sparse linear equations
Jinchao Ji,Keying Huang,Xiao-jie Suo,Junan Zhao,Wen Yan +4 more
- 06 May 2022
Vol. 12176, pp 121760S-121760S
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TL;DR: This paper first analyzes the potential parallel process of solving tridiagonal sparse linear equations by Gaussian elimination method and matrix splitting method, and designs and implements these two parallel algorithms to solve sparselinear equations.
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Abstract: There are many practical problems in real life, which are finally attributed to solving large sparse linear equations. In order to solve sparse linear equations in parallel, this paper first analyzes the potential parallel process of solving tridiagonal sparse linear equations by Gaussian elimination method and matrix splitting method, and designs and implements these two parallel algorithms to solve sparse linear equations, Through different process tests and performance analysis, it shows that the Gaussian elimination method has poor time performance, while the matrix splitting method has good efficiency in both space and time.
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References
•Journal Article
An effective parallel algorithm for tridiagonal linear equations
TL;DR: A parallel algorithm,PPD algorithm, for the solution of diagonally dominant tridiagonal linear systems, and the results show that speedup improves linearly and the efficiency of the method is up to 90%.
4
Efficient tridiagonal solvers on multicomputers
TL;DR: The PDD algorithm is highly parallel and provides an approximate solution which equals the exact solution within machine accuracy, which closely match the results measured from the nCUBE-1 machine.
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