Publications of Martin Köhler

Erxleben, T., Duwe, K., Saak, J., Köhler, M., & Kuhn, M. (2022)Green Storage: Parallel File Systems on ARMInternational Journal on Advances in Software, 15 (3-4), 200–210.

Köhler, M. & Saak, J. (2019)Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme with Application to the Matrix-Sign-Function on OpenPOWER 8Concurrency and Computation: Practice and Experience, 31 (6), e4504, 16 pagesdoi: 10.1002/cpe.4504.

Anzt, H., Gates, M., Dongarra, J., Kreutzer, M., Wellein, G., & Köhler, M. (2017)Preconditioned Krylov Solvers on GPUsParallel Computing, 68, 32–44doi: 10.1016/j.parco.2017.05.006.

Köhler, M., Penke, C., Saak, J., & Ezzatti, P. (2016)Energy-Aware Solution of Linear Systems with Many Right Hand SidesComputer Science - Research and Development, 31 (4), 215–235doi: 10.1007/s00450-016-0326-3.

Köhler, M. & Saak, J. (2016)On GPU Acceleration of Common Solvers for (Quasi-) Triangular Generalized Lyapunov EquationsParallel Computing, 57, 212–221doi: 10.1016/j.parco.2016.05.010.

Köhler, M. & Saak, J. (2016)On BLAS Level-3 Implementations of Common Solvers for (Quasi-) Triangular Generalized Lyapunov EquationsACM Transactions on Mathematical Software, 43 (1), 3doi: 10.1145/2850415.

Benner, P., Köhler, M., & Saak, J. (2021)Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1 -- Philosophy, Features and Application for (Parametric) Model Order ReductionModel Reduction of Complex Dynamical Systems369–392Cham: Birkhäuserdoi: 10.1007/978-3-030-72983-7_18.

Benner, P., Köhler, M., & Penke, C. (2018)GPU-Accelerated and Storage-Efficient Implementation of the QR DecompositionParallel Computing is Everywhere329–338Amsterdam: IOS Pressdoi: 10.3233/978-1-61499-843-3-329.

Benner, P., Köhler, M., & Saak, J. (2014)Fast Approximate Solution of the Non-Symmetric Generalized Eigenvalue Problem on Multicore ArchitecturesParallel Computing Accelerating Computational Science and Engineering (CSE)143–152Amsterdam: IOS Pressdoi: 10.3233/978-1-61499-381-0-143.

Köhler, M. & Saak, J. (2013)A shared memory parallel implementation of the IRKA algorithm for H₂ model order reductionApplied Parallel and Scientific Computing541–544Berlin: Springerdoi: 10.1007/978-3-642-36803-5_42.

Saak, J., Köhler, M., & Benner, P. (2019)M-M.E.S.S.-2.0 — The “Matrix Equations, Sparse Solvers” toolbox for MATLAB^® and GNU OctaveIn: 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, 355–362.

Benner, P., Köhler, M., & Penke, C. (2017)GPU-Accelerated Implementation of the Storage-Efficient QR DecompositionIn: Book of Abstracts of 2nd Workshop on Power-Aware Computing, Ringberg Castle, 1–6doi: 10.5281/zenodo.815816.

Köhler, M. & Saak, J. (2017)Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme on OpenPower 8In: Book of Abstracts of 2nd Workshop on Power-Aware Computing, Ringberg Castle, 1–6doi: 10.5281/zenodo.574664.

Köhler, M. & Saak, J. (2017)GPU Accelerated Gauss-Jordan Elimination on the OpenPOWER platform – A case studyIn: Proceedings in Applied Mathematics and Mechanics, 845–846doi: 10.1002/pamm.201710390.

Anzt, H., Dongarra, J., Kreutzer, M., Wellein, G., & Köhler, M. (2016)Efficiency of General Krylov Methods on GPUs -- An Experimental StudyIn: Proceedings of 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 683–691doi: 10.1109/IPDPSW.2016.45.

Köhler, M., Lang, N., & Saak, J. (2016)Solving Differential Matrix Equations Using PararealIn: Proceedings in Applied Mathematics and Mechanics, 847–848doi: 10.1002/pamm.201610412.

Baran, B., Köhler, M., Prasad, N., & Saak, J. (2014)Numerical Solution of Large Scale Sparse Matrix Equations in PythonIn: Proceedings in Applied Mathematics and Mechanics, 959–960doi: 10.1002/pamm.201410460.

Benner, P., Köhler, M., & Saak, J. (2014)A Cache-Aware Implementation of the Spectral Divide-and-Conquer Approach for the Non-Symmetric Generalized Eigenvalue ProblemIn: Proceedings in Applied Mathematics and Mechanics, 819–820doi: 10.1002/pamm.201410390.

Benner, P. & Köhler, M. (2021)A Successive Divide and Conquer Algorithm for the Unilateral Quadratic Matrix EquationIn: Book of Abstracts Matrix Equations and Tensor Techniques IX, 43–44.

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