Paper Info
Title
Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators
Abstract
We investigate the factorized solution of generalized stable Sylvester equations such as those arising in model reduction, image restoration, and observer design. Our algorithms, based on the matrix sign function, take advantage of the current trend to integrate high performance graphics accelerators (also known as GPUs) in computer systems. As a result, our realisations provide a valuable tool to solve large-scale problems on a variety of platforms.
Year
DOI
Venue
2021
10.1007/s11227-021-03658-y
The Journal of Supercomputing
Keywords
DocType
Volume
Sylvester equation, Matrix sign function, Newton iteration, GPUs
Journal
77
Issue
ISSN
Citations 
9
0920-8542
0
PageRank 
References 
Authors
0.34
10
5
Name
Order
Citations
PageRank
Peter Benner100.68
Ernesto Dufrechou22511.02
Pablo Ezzatti312428.24
Rodrigo Gallardo400.34
Enrique S. Quintana-Ortí52112.58