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Umeå University
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Matrix Computations with Applications

Research group The group Numerical Linear Algebra studies algorithms for complex numerical problems, usually involving computations on very large matrices.

The results of this research are important for applications in engineering and natural science that require computation-intensive numerical problems to be solved. Along with the theoretical work and the exploration of applications in, e.g., systems and control theory, the group also contributes to the further development of standard software libraries, such as LAPACK, ScaLAPACK, and the SLICOT library within the NICONET project.

Research leader

Bo Kågström Professor emeritus, professor
E-mail
Email
Phone
+46 90 786 54 19

Overview

Participating departments and units at Umeå University

Department of Computing Science

Research area

Computing science

Research projects

StratiGraph and MCS Toolbox
Research area: Computing science
Duration 1 January 1998
Type of project Research project

Latest publications

Geometry of Matrix Polynomial Spaces
Foundations of Computational Mathematics, Springer 2020, Vol. 20, (3) : 423-450
Dmytryshyn, Andrii; Johansson, Stefan; Kågström, Bo; et al.
D7.8 Release of the NLAFET library
NLAFET Consortium; Umeå University 2019
Kågström, Bo; Myllykoski, Mirko; Karlsson, Lars; et al.
D2.7 Eigenvalue solvers for nonsymmetric problems
NLAFET Consortium; Umeå University 2019
Myllykoski, Mirko; Kjelgaard Mikkelsen, Carl Christian; Schwarz, Angelika Beatrix; et al.
D2.6 Prototype Software for Eigenvalue Problem Solvers
NLAFET Consortium; Umeå University 2018
Myllykoski, Mirko; Karlsson, Lars; Kågström, Bo; et al.
On the Tunability of a New Hessenberg Reduction Algorithm Using Parallel Cache Assignment
Parallel Processing and Applied Mathematics. PPAM 2017: Part 1, Springer 2018 : 579-589
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
Distributed one-stage Hessenberg-triangular reduction with wavefront scheduling
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics 2018, Vol. 40, (2) : C157-C180
Adlerborn, Björn; Karlsson, Lars; Kågström, Bo
An auto-tuning framework for a NUMA-aware Hessenberg reduction algorithm
ICPE '18 Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ACM Digital Library 2018 : 5-8
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
An auto-tuning framework for a NUMA-aware Hessenberg reduction algorithm
Report / UMINF, 17.19
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
Towards Highly Parallel and Compute-Bound Computation of Eigenvectors of Matrices in Schur Form
Report / UMINF, 17.10
Adlerborn, Björn; Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars; et al.
Task-Based Parallel Algorithms for Eigenvalue Reordering of Matrices in Real Schur Forms
Report / UMINF, 17.11
Myllykoski, Mirko; Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars; et al.
See more publications.

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Latest update: 2021-09-06