| A New Augmented Lagrangian Approach for -mean Curvature Image Denoising M Myllykoski, R Glowinski, T Karkkainen, T Rossi SIAM Journal on Imaging Sciences 8 (1), 95-125, 2015 | 50 | 2015 |
| Task-Based Parallel Algorithms for Eigenvalue Reordering of Matrices in Real Schur Forms M Myllykoski, CC Kjelgaard Mikkelsen, L Karlsson, B Kågström Umeå University, 2017 | 8* | 2017 |
| Fast Poisson solvers for graphics processing units M Myllykoski, T Rossi, J Toivanen International Workshop on Applied Parallel Computing, 265-279, 2012 | 8 | 2012 |
| Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems M Myllykoski, CC Kjelgaard Mikkelsen Concurrency and Computation: Practice and Experience, 2020 | 7 | 2020 |
| A Task-Based Algorithm for Reordering the Eigenvalues of a Matrix in Real Schur Form M Myllykoski 12th International Conference on Parallel Processing and Applied Mathematics …, 2018 | 7 | 2018 |
| PRACE Best Practice Guide: Modern Accelerators J Bispo, JG Barbosa, P Filipe Silva, C Morales, M Myllykoski, ... https://prace-ri.eu/training-support/best-practice-guides/modern-accelerators/, 2021 | 6* | 2021 |
| Introduction to StarNEig — A Task-based Library for Solving Nonsymmetric Eigenvalue Problems M Myllykoski, CC Kjelgaard Mikkelsen Lecture Notes in Computer Science 12043, 70-81, 2020 | 6 | 2020 |
| D2.7 Eigenvalue solvers for nonsymmetric problems M Myllykoski, CC Kjelgaard Mikkelsen, A Schwarz, B Kågström http://www.nlafet.eu/wp-content/uploads/2019/04/D2.7-EVP-solvers-evaluation …, 2019 | 6 | 2019 |
| A GPU-accelerated augmented Lagrangian based l1-mean curvature image denoising algorithm implementation M Myllykoski, R Glowinski, T Kärkkäinen, T Rossi Computer Science Research Notes, 2015 | 5 | 2015 |
| D2.6 Prototype Software for Eigenvalue Problem Solvers M Myllykoski, L Karlsson, B Kågström, M Eljammaly, S Pranesh, ... http://www.nlafet.eu/wp-content/uploads/2016/01/Deliverable2.6-180427-rev.pdf, 2018 | 4 | 2018 |
| On solving separable block tridiagonal linear systems using a GPU implementation of radix-4 PSCR M Myllykoski, T Rossi, J Toivanen Journal of Parallel and Distributed Computing 115, 56-66, 2018 | 4 | 2018 |
| Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils CC Kjelgaard Mikkelsen, M Myllykoski International Conference on Parallel Processing and Applied Mathematics, 58-69, 2019 | 3 | 2019 |
| Algorithm 1019: A Task-based Multi-shift QR/QZ Algorithm with Aggressive Early Deflation M Myllykoski ACM Transactions on Mathematical Software 48 (1), 2022 | 2 | 2022 |
| D6.5 Evaluation of auto-tuning techniques L Karlsson, M Eljammaly, M Myllykoski http://www.nlafet.eu/wp-content/uploads/2019/04/D6-5-eval-auto-tuning-final.pdf, 2019 | 2 | 2019 |
| On GPU-accelerated fast direct solvers and their applications in image denoising M Myllykoski Jyväskylä studies in computing 218., 2015 | 2 | 2015 |
| Rinnakkaistuvat nopeat Poisson-ratkaisijat (Parallel Fast Poisson Solvers) M Myllykoski University of Jyväskylä, 2010 | 2* | 2010 |
| D2.5 Eigenvalue Problem Solvers CC Kjelgaard Mikkelsen, M Myllykoski, B Adlerborn, L Karlsson, ... http://www.nlafet.eu/wp-content/uploads/2016/01/D2.5-EVP-solvers-170427_v1.0 …, 2017 | 1 | 2017 |
| A parallel radix‐4 block cyclic reduction algorithm M Myllykoski, T Rossi Numerical Linear Algebra with Applications 21 (4), 540-556, 2014 | 1 | 2014 |
| Morphogenesis and Dynamics of Multicellular Systems A Quintero, AROS Freltoft, A Igolkina, M Myllykoski, N Dixit ECMI Newsletter 52, 2012 | 1 | 2012 |
| Task-based Algorithms and Software for Solving Dense Nonsymmetric Eigenvalue Problems M Myllykoski XXI Householder Symposium on Numerical Linear Algebra, 285, 2020 | | 2020 |
Carl Christian Kjelgaard MikkelsenResearch Scientist, Department of Computing Science and HPC2N, Umeå UniversityPotvrđena adresa e-pošte na cs.umu.se
