Publikationen von Martin Köhler

Zeitschriftenartikel (5)

1.
Zeitschriftenartikel
Köhler, M.; Saak, J.: Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme with Application to the Matrix-Sign-Function on OpenPOWER 8. Concurrency and Computation: Practice and Experience 31 (6), e4504, 16 pages (2019)
2.
Zeitschriftenartikel
Anzt, H.; Gates, M.; Dongarra, J.; Kreutzer, M.; Wellein, G.; Köhler, M.: Preconditioned Krylov Solvers on GPUs. Parallel Computing 68, S. 32 - 44 (2017)
3.
Zeitschriftenartikel
Köhler, M.; Penke, C.; Saak, J.; Ezzatti, P.: Energy-Aware Solution of Linear Systems with Many Right Hand Sides. Computer Science - Research and Development 31 (4), S. 215 - 235 (2016)
4.
Zeitschriftenartikel
Köhler, M.; Saak, J.: On GPU Acceleration of Common Solvers for (Quasi-) Triangular Generalized Lyapunov Equations. Parallel Computing 57, S. 212 - 221 (2016)
5.
Zeitschriftenartikel
Köhler, M.; Saak, J.: On BLAS Level-3 Implementations of Common Solvers for (Quasi-) Triangular Generalized Lyapunov Equations. ACM Transactions on Mathematical Software 43 (1), 3 (2016)

Buchkapitel (4)

6.
Buchkapitel
Benner, P.; Köhler, M.; Saak, J.: Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1 -- Philosophy, Features and Application for (Parametric) Model Order Reduction. In: Model Reduction of Complex Dynamical Systems, S. 369 - 392 (Hg. Benner, P.; Breiten, T.; Faßbender, H.; Hinze, M.; Stykel, T. et al.). Birkhäuser, Cham (2021)
7.
Buchkapitel
Benner, P.; Köhler, M.; Penke, C.: GPU-Accelerated and Storage-Efficient Implementation of the QR Decomposition. In: Parallel Computing is Everywhere, Bd. 32, S. 329 - 338 (Hg. Bassini, S.; Danelutto, M.; Dazzi, P.; Joubert, G. R.; Peters, F.). IOS Press, Amsterdam (2018)
8.
Buchkapitel
Benner, P.; Köhler, M.; Saak, J.: Fast Approximate Solution of the Non-Symmetric Generalized Eigenvalue Problem on Multicore Architectures. In: Parallel Computing Accelerating Computational Science and Engineering (CSE), S. 143 - 152. IOS Press, Amsterdam (2014)
9.
Buchkapitel
Köhler, M.; Saak, J.: A shared memory parallel implementation of the IRKA algorithm for H2 model order reduction. In: Applied Parallel and Scientific Computing, Bd. 7782, S. 541 - 544. Springer, Berlin (2013)

Konferenzbeitrag (8)

10.
Konferenzbeitrag
Saak, J.; Köhler, M.; Benner, P.: M-M.E.S.S.-2.0 — The “Matrix Equations, Sparse Solvers” toolbox for MATLAB® and GNU Octave. In: Tagungsband GMA-FA 1.30 'Modellbildung, Identifikation und Simulation in der Automatisierungstechnik' und GMA-FA 1.40 'Systemtheorie und Regelungstechnik', Workshops in Anif, Salzburg, 23.-27.09.2019, S. 355 - 362 (Hg. Meurer, T.; Woittennek, F.). GMA-FA 1.30 'Modellbildung, Identifikation und Simulation in der Automatisierungstechnik' und GMA-FA 1.40 'Systemtheorie und Regelungstechnik', Anif, Austria, 23. September 2019 - 27. September 2019. (2019)
11.
Konferenzbeitrag
Benner, P.; Köhler, M.; Penke, C.: GPU-Accelerated Implementation of the Storage-Efficient QR Decomposition. In: Book of Abstracts of 2nd Workshop on Power-Aware Computing, Ringberg Castle, S. 1 - 6. 2nd Workshop on Power-Aware Computing, Ringberg Castle, Ringberg Castle, Germany, 05. Juli 2017 - 08. Juli 2017. (2017)
12.
Konferenzbeitrag
Köhler, M.; Saak, J.: Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme on OpenPower 8. In: Book of Abstracts of 2nd Workshop on Power-Aware Computing, Ringberg Castle, S. 1 - 6. 2nd Workshop on Power-Aware Computing, Ringberg Castle, Ringberg Castle, Germany, 05. Juli 2017 - 08. Juli 2017. (2017)
13.
Konferenzbeitrag
Köhler, M.; Saak, J.: GPU Accelerated Gauss-Jordan Elimination on the OpenPOWER platform – A case study. 88th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Weimar, Germany, 06. März 2017 - 10. März 2017. Proceedings in Applied Mathematics and Mechanics 17 (1), S. 845 - 846 (2017)
14.
Konferenzbeitrag
Anzt, H.; Dongarra, J.; Kreutzer, M.; Wellein, G.; Köhler, M.: Efficiency of General Krylov Methods on GPUs -- An Experimental Study. In: Proceedings of 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), S. 683 - 691. 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) , Chicago, USA, 23. Mai 2016 - 27. Mai 2016. (2016)
15.
Konferenzbeitrag
Köhler, M.; Lang, N.; Saak, J.: Solving Differential Matrix Equations Using Parareal. Joint 87th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) and Deutsche Mathematiker-Vereinigung, Braunschweig, 07. März 2016 - 11. März 2016. Proceedings in Applied Mathematics and Mechanics 16 (1), S. 847 - 848 (2016)
16.
Konferenzbeitrag
Baran, B.; Köhler, M.; Prasad, N.; Saak, J.: Numerical Solution of Large Scale Sparse Matrix Equations in Python. 85th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Erlangen, Germany, 10. März 2014 - 14. März 2014. Proceedings in Applied Mathematics and Mechanics 14 (1), S. 959 - 960 (2014)
17.
Konferenzbeitrag
Benner, P.; Köhler, M.; Saak, J.: A Cache-Aware Implementation of the Spectral Divide-and-Conquer Approach for the Non-Symmetric Generalized Eigenvalue Problem. 85th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 2014, Erlangen, Germany, 10. März 2014 - 14. März 2014. Proceedings in Applied Mathematics and Mechanics 14 (1), S. 819 - 820 (2014)

Meeting Abstract (1)

18.
Meeting Abstract
Benner, P.; Köhler, M.: A Successive Divide and Conquer Algorithm for the Unilateral Quadratic Matrix Equation. In Book of Abstracts Matrix Equations and Tensor Techniques IX, S. 43 - 44. Matrix Equations and Tensor Techniques IX, Perugia, Italy, 09. September 2021 - 10. September 2021. (2021)

Hochschulschrift - Doktorarbeit (1)

19.
Hochschulschrift - Doktorarbeit
Köhler, M.: Approximate Solution of Non-Symmetric Generalized Eigenvalue Problems and Linear Matrix Equations on HPC-Platforms. Dissertation, Logos Verlag, Berlin (2021)

Software (5)

20.
Software
Saak, J.; Köhler, M.; Benner, P.: M-M.E.S.S.-2.1 – the Matrix Equations Sparse Solvers Library. (2021)
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