Parallel Selected Inversion of Block-Tridiagonal with Arrowhead Matrices

The inversion of structured sparse matrices is a fundamental yet computationally and memory-intensive task in many scientific applications, such as Bayesian statistical modeling and material science. In certain cases, only particular entries of the full inverse are required. This has motivated the d...

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Vydané v:	Proceedings / IEEE International Conference on Cluster Computing s. 1 - 12
Hlavní autori:	Maillou, Vincent, Gaedke-Merzhauser, Lisa, Ziogas, Alexandros Nikolaos, Schenk, Olaf, Luisier, Mathieu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 02.09.2025
Predmet:	Computational modeling Distributed algorithms Graphics processing units Libraries Linear algebra Materials science and technology Parallel algorithms Predictive models Selected linear algebra Sparse matrices Supercomputers Temperature distribution
ISSN:	2168-9253
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