Sciweavers

Share
ICMLA
2008

Multi-stage Learning of Linear Algebra Algorithms

9 years 2 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent recommender systems have been proposed. In our application area, the iterative solution of linear systems of equations, the recommendation process is especially complicated, since the classes have a multi-dimensional structure. We discuss different strategies of recommending the different components of the algorithms.
Victor Eijkhout, Erika Fuentes
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ICMLA
Authors Victor Eijkhout, Erika Fuentes
Comments (0)
books