gSoFa: Scalable Sparse Symbolic LU Factorization on GPUs

Decomposing a matrix \mathbf {A} A into a lower matrix \mathbf {L} L and an upper matrix \mathbf {U} U , which is also known as LU decomposition, is an essential operation in numerical linear algebra. For a sparse matrix, LU decomposition often introduces more nonzero entries in the \mathbf {L} L...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems 2022-04, Vol.33 (4), p.1015-1026
Hauptverfasser:	Gaihre, Anil, Li, Xiaoye Sherry, Liu, Hang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data structures Decomposition Design optimization Factorization Graphics processing units Image edge detection Linear algebra LU decomposition Mathematical analysis MATHEMATICS AND COMPUTING Matrix algebra Matrix decomposition Memory management Parallel processing Sparse linear algebra sparse linear solvers Sparse matrices Sparsity static symbolic factorization on GPU
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