15 citations · 17 across the 6 of their papers we have counts for
4 papers · 1 filter
Cucheb: A GPU implementation of the filtered Lanczos procedure
Jared L. Aurentz, Vassilis Kalantzis, Yousef Saad
This paper describes the software package Cucheb, a GPU implementation of the filtered Lanczos procedure for the solution of large sparse symmetric eigenvalue problems. The filtere…
Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning
Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh
This paper describes a set of rational filtering algorithms to compute a few eigenvalues (and associated eigenvectors) of non-Hermitian matrix pencils. Our interest lies in computi…
Sparse graph based sketching for fast numerical linear algebra
Dong Hu, Shashanka Ubaru, Alex Gittens +3
In recent years, a variety of randomized constructions of sketching matrices have been devised, that have been used in fast algorithms for numerical linear algebra problems, such a…
Projection techniques to update the truncated SVD of evolving matrices
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru +3
This paper considers the problem of updating the rank-k truncated Singular Value Decomposition (SVD) of matrices subject to the addition of new rows and/or columns over time. Such…