activity
20102020
most citedA GPU-based hyperbolic SVD algorithm

30 citations · 99 across the 12 of their papers we have counts for

collaborators

9 papers

math.NA2020

Nearly optimal scaling in the SR decomposition

Heike Fassbender, Miroslav Rozloznik, Sanja Singer

In this paper we analyze the nearly optimal block diagonal scalings of the rows of one factor and the columns of the other factor in the triangular form of the SR decomposition. Th…

math.NA2020

A Kogbetliantz-type algorithm for the hyperbolic SVD

Vedran Novaković, Sanja Singer

In this paper a two-sided, parallel Kogbetliantz-type algorithm for the hyperbolic singular value decomposition (HSVD) of real and complex square matrices is developed, with a sing…

math.NA2019★ 4 cited

Implicit Hari--Zimmermann algorithm for the generalized SVD on the GPUs

Vedran Novaković, Sanja Singer

A parallel, blocked, one-sided Hari--Zimmermann algorithm for the generalized singular value decomposition (GSVD) of a real or a complex matrix pair is here proposed, where…

math.NA2019★ 1 cited

The antitriangular factorization of skew-symmetric matrices

Sanja Singer

In this paper we develop algorithms for orthogonal similarity transformations of skew-symmetric matrices to simpler forms. The first algorithm is similar to the algorithm for the b…

math.NA2019★ 6 cited

The LAPW method with eigendecomposition based on the Hari--Zimmermann generalized hyperbolic SVD

Sanja Singer, Edoardo Di Napoli, Vedran Novaković +1

In this paper we propose an accurate, highly parallel algorithm for the generalized eigendecomposition of a matrix pair , given in a factored form $(F^{\ast} J F, G^{\ast}…

math.NA2010★ 16 cited

Three-Level Parallel J-Jacobi Algorithms for Hermitian Matrices

Sanja Singer, Sasa Singer, Vedran Novakovic +3

The paper describes several efficient parallel implementations of the one-sided hyperbolic Jacobi-type algorithm for computing eigenvalues and eigenvectors of Hermitian matrices. B…

math.NA2010★ 30 cited

A GPU-based hyperbolic SVD algorithm

Vedran Novakovic, Sanja Singer

A one-sided Jacobi hyperbolic singular value decomposition (HSVD) algorithm, using a massively parallel graphics processing unit (GPU), is developed. The algorithm also serves as t…

math.NA2010★ 13 cited

Novel Modifications of Parallel Jacobi Algorithms

Sanja Singer, Sasa Singer, Vedran Novakovic +2

We describe two main classes of one-sided trigonometric and hyperbolic Jacobi-type algorithms for computing eigenvalues and eigenvectors of Hermitian matrices. These types of algor…

math.NA2010

Estimates for the Spectral Condition Number of Cardinal B-Spline Collocation Matrices (Long version)

Vedran Novakovic, Sanja Singer, Sasa Singer

The famous de Boor conjecture states that the condition of the polynomial B-spline collocation matrix at the knot averages is bounded independently of the knot sequence, i.e., depe…