Publications of Martin Köhler

Journal Article (6)

1.
Journal Article
Erxleben, T.; Duwe, K.; Saak, J.; Köhler, M.; Kuhn, M.: Green Storage: Parallel File Systems on ARM. International Journal on Advances in Software 15 (3-4), pp. 200 - 210 (2022)
2.
Journal Article
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)
3.
Journal Article
Anzt, H.; Gates, M.; Dongarra, J.; Kreutzer, M.; Wellein, G.; Köhler, M.: Preconditioned Krylov Solvers on GPUs. Parallel Computing 68, pp. 32 - 44 (2017)
4.
Journal Article
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), pp. 215 - 235 (2016)
5.
Journal Article
Köhler, M.; Saak, J.: On GPU Acceleration of Common Solvers for (Quasi-) Triangular Generalized Lyapunov Equations. Parallel Computing 57, pp. 212 - 221 (2016)
6.
Journal Article
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)

Book Chapter (4)

7.
Book Chapter
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, pp. 369 - 392 (Eds. Benner, P.; Breiten, T.; Faßbender, H.; Hinze, M.; Stykel, T. et al.). Birkhäuser, Cham (2021)
8.
Book Chapter
Benner, P.; Köhler, M.; Penke, C.: GPU-Accelerated and Storage-Efficient Implementation of the QR Decomposition. In: Parallel Computing is Everywhere, Vol. 32, pp. 329 - 338 (Eds. Bassini, S.; Danelutto, M.; Dazzi, P.; Joubert, G. R.; Peters, F.). IOS Press, Amsterdam (2018)
9.
Book Chapter
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), pp. 143 - 152. IOS Press, Amsterdam (2014)
10.
Book Chapter
Köhler, M.; Saak, J.: A shared memory parallel implementation of the IRKA algorithm for H2 model order reduction. In: Applied Parallel and Scientific Computing, Vol. 7782, pp. 541 - 544. Springer, Berlin (2013)

Conference Paper (8)

11.
Conference Paper
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, pp. 355 - 362 (Eds. 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, September 23, 2019 - September 27, 2019. (2019)
12.
Conference Paper
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, pp. 1 - 6. 2nd Workshop on Power-Aware Computing, Ringberg Castle, Ringberg Castle, Germany, July 05, 2017 - July 08, 2017. (2017)
13.
Conference Paper
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, pp. 1 - 6. 2nd Workshop on Power-Aware Computing, Ringberg Castle, Ringberg Castle, Germany, July 05, 2017 - July 08, 2017. (2017)
14.
Conference Paper
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, March 06, 2017 - March 10, 2017. Proceedings in Applied Mathematics and Mechanics 17 (1), pp. 845 - 846 (2017)
15.
Conference Paper
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), pp. 683 - 691. 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) , Chicago, USA, May 23, 2016 - May 27, 2016. (2016)
16.
Conference Paper
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, March 07, 2016 - March 11, 2016. Proceedings in Applied Mathematics and Mechanics 16 (1), pp. 847 - 848 (2016)
17.
Conference Paper
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, March 10, 2014 - March 14, 2014. Proceedings in Applied Mathematics and Mechanics 14 (1), pp. 959 - 960 (2014)
18.
Conference Paper
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, March 10, 2014 - March 14, 2014. Proceedings in Applied Mathematics and Mechanics 14 (1), pp. 819 - 820 (2014)

Meeting Abstract (1)

19.
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, pp. 43 - 44. Matrix Equations and Tensor Techniques IX, Perugia, Italy, September 09, 2021 - September 10, 2021. (2021)

Thesis - PhD (1)

20.
Thesis - PhD
Köhler, M.: Approximate Solution of Non-Symmetric Generalized Eigenvalue Problems and Linear Matrix Equations on HPC-Platforms. Dissertation, Logos Verlag, Berlin (2021)
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