Communication Avoiding Block Low-Rank Parallel Multifrontal Triangular Solve with Many Right-Hand Sides

Block low-rank (BLR) compression can significantly reduce the memory and time costs of parallel sparse direct solvers. In this paper, we investigate the performance of the BLR triangular solve phase, which we observe to be underwhelming when dealing with many right-hand sides (RHS). We explain that...

Celý popis

Podrobná bibliografie

Vydáno v:	SIAM journal on matrix analysis and applications Ročník 45; číslo 1; s. 148 - 166
Hlavní autoři:	Amestoy, Patrick, Boiteau, Olivier, Buttari, Alfredo, Gerest, Matthieu, Jézéquel, Fabienne, L’Excellent, Jean-Yves, Mary, Theo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Society for Industrial and Applied Mathematics 01.01.2024
Témata:	Computer Science Mathematics numerical linear algebra communication avoiding algorithms LU factorization low-rank approximations block low-rank matrices triangular solve data sparse matrices linear systems
ISSN:	0895-4798, 1095-7162
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!