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Umeå University
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Staff photo Lars Karlsson

Lars Karlsson

I am assistant head of department with responsibility for education and conduct research on efficient algorithms for matrix and tensor computations.

Contact

E-mail
lars.g.karlsson@umu.se
Phone
+46 90 786 70 24

Works at

Affiliation
Associate professor at Department of Computing Science Role: Assistant head of department
Location
MIT-huset, Umeå universitet, MIT.D.447 Umeå universitet, 901 87 Umeå
FLOPs as a discriminant for dense linear algebra algorithms
ICPP '22: proceedings of the 51st international conference on parallel processing
López, Francisco; Karlsson, Lars; Bientinesi, Paolo
Algorithm 1026: Concurrent Alternating Least Squares for Multiple Simultaneous Canonical Polyadic Decompositions
ACM Transactions on Mathematical Software, ACM Digital Library 2022, Vol. 48, (3)
Psarras, Christos; Karlsson, Lars; Bro, Rasmus; et al.
Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition
Frontiers in Applied Mathematics and Statistics, Vol. 8
Psarras, Christos; Karlsson, Lars; Bro, Rasmus; et al.
Robust Parallel Eigenvector Computation for the Non-Symmetric Eigenvalue Problem
Report / UMINF, 20.02
Schwarz, Angelika Beatrix; Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars
Robust parallel eigenvector computation for the non-symmetric eigenvalue problem
Parallel Computing, Elsevier 2020, Vol. 100
Schwarz, Angelika Beatrix; Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars
D6.5 Evaluation of auto-tuning techniques
NLAFET Consortium; Umeå University 2019
Karlsson, Lars; Eljammaly, Mahmoud; Myllykoski, Mirko
Experiences of using mastery learning and the personalized system of instruction
Universitetspedagogiska konferensen 2019: Helhetssyn på undervisning - kropp, känsla och kognition i akademin, Umeå: Universitetspedagogik och lärandestöd (UPL), Umeå universitet 2019 : 21-21
Karlsson, Lars; Pettersson, Jonny
Parallel robust solution of triangular linear systems
Concurrency and Computation, John Wiley & Sons 2019, Vol. 31, (19)
Kjelgaard Mikkelsen, Carl Christian; Schwarz, Angelika Beatrix; Karlsson, Lars
D7.8 Release of the NLAFET library
NLAFET Consortium; Umeå University 2019
Kågström, Bo; Myllykoski, Mirko; Karlsson, Lars; et al.
Scalable eigenvector computation for the non-symmetric eigenvalue problem
Parallel Computing, Elsevier 2019, Vol. 85 : 131-140
Schwarz, Angelika Beatrix; Karlsson, Lars
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
A Householder-Based Algorithm for Hessenberg-Triangular Reduction
SIAM Journal on Matrix Analysis and Applications, SIAM Publications 2018, Vol. 39, (3) : 1270-1294
Bujanović, Zvonimir; Karlsson, Lars; Kressner, Daniel
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
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
Blocked Algorithms for Robust Solution of Triangular Linear Systems
Parallel Processing and Applied Mathematics: 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part I, Springer 2018 : 68-78
Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars
D2.6 Prototype Software for Eigenvalue Problem Solvers
NLAFET Consortium; Umeå University 2018
Myllykoski, Mirko; Karlsson, Lars; Kågström, Bo; et al.
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.
Parallel and Heterogeneous $m$-Hessenberg-Triangular-Triangular Reduction
SIAM Journal on Scientific Computing, Vol. 39, (1) : C29-C47
Bosner, Nela; Karlsson, Lars
An auto-tuning framework for a NUMA-aware Hessenberg reduction algorithm
Report / UMINF, 17.19
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
Negative stride in the column-major format makes sense and has useful applications
Report / UMINF, 17.17
Karlsson, Lars; Kjelgaard Mikkelsen, Carl Christian
Robust Solution of Triangular Linear Systems
Report / UMINF, 17.09
Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars
D2.5 Eigenvalue problem solvers
NLAFET 2017
Kjelgaard Mikkelsen, Carl Christian; Myllykoski, Mirko; Adlerborn, Björn; 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.
Distributed one-stage Hessenberg-triangular reduction with wavefront scheduling
Report / UMINF, 16.10
Adlerborn, Björn; Kågström, Bo; Karlsson, Lars
A library for storing and manipulating dense tensors
Report / UMINF, 17.22
Eljammaly, Mahmoud; Karlsson, Lars
Evaluation of the Tunability of a New NUMA-Aware Hessenberg Reduction Algorithm
Report / UMINF, 16.21
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
Parallel algorithms for tensor completion in the CP format
Parallel Computing, Vol. 57 : 222-234
Karlsson, Lars; Kressner, Daniel; Uschmajew, Andre
Algorithms for Hessenberg-Triangular Reduction of Fiedler Linearization of Matrix Polynomials
SIAM Journal on Scientific Computing, Vol. 37, (3) : C384-C414
Karlsson, Lars; Tisseur, Francoise
Improving Perfect Parallelism
Parallel Processing and Applied Mathematics: 10th International Conference, PPAM 2013, Warsaw, Poland, September 8-11, 2013, Revised Selected Papers, Part I, Springer Berlin/Heidelberg 2014 : 76-85
Karlsson, Lars; Kjelgaard Mikkelsen, Carl Christian; Kågström, Bo
Optimally Packed Chains of Bulges in Multishift QR Algorithms
ACM Transactions on Mathematical Software, Vol. 40, (2) : 12-
Karlsson, Lars; Kressner, Daniel; Lang, Bruno
Fine-Grained Bulge-Chasing Kernels for Strongly Scalable Parallel QR Algorithms
Parallel Computing, Elsevier 2014, (7) : 271-288
Karlsson, Lars; Kågström, Bo; Wadbro, Eddie
Parallel and Cache-Efficient In-Place Matrix Storage Format Conversion
ACM Transactions on Mathematical Software, New York: Association for Computing Machinery 2012, Vol. 38, (3) : 17:1-17:32
Gustavson, Fred; Karlsson, Lars; Kågström, Bo
Efficient Reduction from Block Hessenberg Form to Hessenberg Form Using Shared Memory
Applied parallel and scientific computing: Part II : 258-268
Karlsson, Lars; Kagstrom, Bo
Scheduling of parallel matrix computations and data layout conversion for HPC and Multi-Core Architectures
Report / UMINF, 11.04
Karlsson, Lars
Parallel two-stage reduction to Hessenberg form using dynamic scheduling on shared-memory architectures
Parallel Computing, Vol. 37, (12) : 771-782
Karlsson, Lars; Kågström, Bo
Computing codimensions and generic canonical forms for generalized matrix products
The Electronic Journal of Linear Algebra, Vol. 22 : 277-309
Kågström, Bo; Karlsson, Lars; Kressner, Daniel
Efficient reduction from block Hessenberg form to Hessenberg form using shared memory
PARA 2010: State of the Art in Scientific and Parallel Computing, Reykjavik, June 6-9, 2010
Karlsson, Lars; Kågström, Bo
Distributed SBP Cholesky factorization algorithms with near-optimal scheduling
ACM Transactions on Mathematical Software, Vol. 36, (2) : 11:1-11:25
Gustavson, Fred; Karlsson, Lars; Kågström, Bo
Blocked in-place transposition with application to storage format conversion
Report / UMINF, 09.01
Karlsson, Lars
A framework for dynamic node-scheduling of two-sided blocked matrix computations
Applied Parallel Computing - State of the Art in Parallel and Scientific Computing: 9th International Workshop, PARA 2008
Karlsson, Lars; Kågström, Bo
Three Algorithms for Cholesky Factorization on Distributed Memory Using Packed Storage
Applied Parallel Computing - State of the Art in Scientific Computing: 8th International Workshop, PARA 2006, Springer 2007 : 550-559
Gustavson, Fred; Karlsson, Lars; Kågström, Bo
View publications in DiVA