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Parallel and High-Performance Computing

The research group Parallel and High-Performance Computing focuses on algorithms, tools, and applications for scalable high-performance computer systems.

Research topics include high-performance and portable linear algebra kernels and LAPACK- and ScaLAPACK-style algorithms for blocked and scalable matrix computations.

Projects
Hierarchically Blocked Algorithms and Optimized Low-Level Kernels for Dense Matrix Computations on Memory-Tiered High-Performance Computing Systems

Research projects

NLAFET
Research subject: Computing science
Duration 1 November 2015
Type of project Research project
StarNEig library
Research subject: Computing science
Duration 1 November 2015
Type of project Research project
Efficient and Reliable HPC Algorithms for Matrix Computations in Applications
Research subject: Computing science
Duration 1 September 2010
Type of project Research project
StratiGraph and MCS Toolbox
Research subject: Computing science
Duration 1 January 1998
Type of project Research project

Latest publications

2019
NLAFET Consortium; Umeå University 2019
Kågström, Bo; Myllykoski, Mirko; Karlsson, Lars; et al.
2019
NLAFET Consortium; Umeå University 2019
Myllykoski, Mirko; Kjelgaard Mikkelsen, Carl Christian; Schwarz, Angelika Beatrix; et al.
2019
Foundations of Computational Mathematics, Vol. 20, (3) : 423-450
Dmytryshyn, Andrii; Johansson, Stefan; Kågström, Bo; et al.
2018
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics 2018, Vol. 40, (2) : C157-C180
Adlerborn, Björn; Karlsson, Lars; Kågström, Bo
2018
Parallel Processing and Applied Mathematics. PPAM 2017: Part 1, Springer 2018 : 579-589
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
2018
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
2018
NLAFET Consortium; Umeå University 2018
Myllykoski, Mirko; Karlsson, Lars; Kågström, Bo; et al.
2017
Report / UMINF, 17.19
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
2017
SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics 2017, Vol. 38, (4) : 1249-1267
Dmytryshyn, Andrii; Johansson, Stefan; Kågström, Bo
2017
NLAFET 2017
Kjelgaard Mikkelsen, Carl Christian; Myllykoski, Mirko; Adlerborn, Björn; et al.