Optimal polynomial smoothers for parallel AMG

In this paper, we explore polynomial accelerators that are well-suited for parallel computations, specifically as smoothers in Algebraic MultiGrid (AMG) preconditioners for symmetric positive definite matrices. These accelerators address a minimax problem, initially formulated in Lottes (Numer. Lin....

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Numerical algorithms Ročník 100; číslo 4; s. 1783 - 1812
Hlavní autori:	D’Ambra, Pasqua, Durastante, Fabio, Filippone, Salvatore, Massei, Stefano, Thomas, Stephen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.12.2025 Springer Nature B.V
Predmet:	Accelerators Algebra Algorithms Approximation Basic converters Chebyshev approximation Computer Science Effectiveness Graphics processing units Iterative methods Matrices (mathematics) Minimax technique Numeric Computing Numerical Analysis Optimization Partial differential equations Polynomials Propagation Theory of Computation 65F10 AMG Parallel smoothers GPU 65F08 65N55 65Y05 Chebyshev polynomials
ISSN:	1017-1398, 1572-9265
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!