Prof. Dr. Harald Köstler, Akad. Dir.

2026

• Kemmler S., Cuéllar P., Artinov A., Baeßler M., Köstler H.:
  Calibration of Analytical Suction Bucket Installation Models Using Grain-Scale LBM-DEM Simulations
  45th International Conference on Ocean, Offshore & Arctic Engineering (Tokyo, 7. June 2026 - 12. June 2026)
• Mayr M., Wind S., Schröder L., Hager G., Köstler H., Wellein G.:
  AI Application Benchmarking: Power-Aware Performance Analysis for Vision and Language Models
  (2026)
  DOI: 10.48550/arXiv.2603.16164
• Schröder L., Kavane S., Köstler H.:
  A Validated LBM Dataset and Pipeline for Surrogate Modeling of Turbulent 3D Obstructed Channel Flows
  (2026)
  DOI: 10.48550/arXiv.2606.16765
• Suffa P., Holzer M., Köstler H., Rüde U.:
  Architecture specific generation of large scale lattice Boltzmann methods for sparse complex geometries
  In: International Journal of High Performance Computing Applications (2026)
  ISSN: 1094-3420
  DOI: 10.1177/10943420261434639

2025

• Böhm F., Bauer D., Kohl N., Alappat C., Thönnes D., Mohr M., Köstler H., Rüde U.:
  Code Generation and Performance Engineering for Matrix-Free Finite Element Methods on Hybrid Tetrahedral Grids
  In: SIAM Journal on Scientific Computing 47 (2025), p. B131-B159
  ISSN: 1064-8275
  DOI: 10.1137/24M1653756
• Büttner M., Alt C., Kenter T., Köstler H., Plessl C., Aizinger V.:
  Analyzing performance portability for a SYCL implementation of the 2D shallow water equations
  In: Journal of Supercomputing 81 (2025), Article No.: 772
  ISSN: 0920-8542
  DOI: 10.1007/s11227-025-07063-7
• Godé H., Kruse C., Angersbach R., Köstler H., Bauerheim M., Rüde U.:
  Comparison of Multigrid and Machine Learning-Based Poisson Solvers
  15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024 (Ostrava, 8. September 2024 - 11. September 2024)
  In: Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski (ed.): Lecture Notes in Computer Science 2025
  DOI: 10.1007/978-3-031-85703-4_12
• Jacob SJ., Mrosek M., Othmer C., Köstler H.:
  Benchmarking convolutional neural network and graph neural network based surrogate models on a real-world car external aerodynamics dataset
  In: Computers & Fluids 300 (2025), Article No.: 106760
  ISSN: 0045-7930
  DOI: 10.1016/j.compfluid.2025.106760
• Kemmler S., Cuéllar P., Artinov A., Baeßler M., Köstler H.:
  Fully-resolved LBM-DEM simulations of piping erosion during a suction bucket installation
  10th International Conference on Discrete Element Methods (Himeji, 1. July 2025 - 5. July 2025)
• Kemmler S., Cuéllar P., Artinov A., Luu LH., Farhat A., Philippe P., Rettinger C., Köstler H.:
  A fully-resolved micromechanical simulation of piping erosion during a suction bucket installation
  In: Computers and Geotechnics 186 (2025), Article No.: 107375
  ISSN: 0266-352X
  DOI: 10.1016/j.compgeo.2025.107375
• Kemmler S., Cuéllar P., Rettinger C., Köstler H.:
  A Fluid-Solid Coupled Micromechanical Simulation for the Analysis of Piping Erosion During the Seabed Installation of a Suction Bucket Foundation
  In: IOP Conference Series : Earth and Environmental Science (2025)
  ISSN: 1755-1307
  DOI: 10.1088/1755-1315/1480/1/012024
• Kemmler S., Rettinger C., Rüde U., Cuéllar P., Köstler H.:
  Efficiency and scalability of fully-resolved fluid-particle simulations on heterogeneous CPU-GPU architectures
  In: International Journal of High Performance Computing Applications (2025)
  ISSN: 1094-3420
  DOI: 10.1177/10943420241313385

2024

• Alt C., Köstler H.:
  Continuous Benchmarking for a Massively Parallel Multi Physics Framework
  deRSE24: Conference for Research Software Engineering in Germany (Würzburg, 5. March 2024 - 7. March 2024)
  URL: https://events.hifis.net/event/994/contributions/7934/
• Alt C., Lanser M., Plewinski J., Janki A., Klawonn A., Köstler H., Selzer M., Rüde U.:
  A continuous benchmarking infrastructure for high-performance computing applications
  In: International Journal of Parallel, Emergent and Distributed Systems (2024)
  ISSN: 1744-5760
  DOI: 10.1080/17445760.2024.2360190
• Angersbach R., Köstler H., Kuckuk S.:
  Code Generation for Octree-Based Multigrid Solvers with Fused Higher-Order Interpolation and Communication
  Euro-Par 2024 (Madrid, 26. August 2024 - 30. August 2024)
  DOI: 10.1007/978-3-031-69583-4_17
• Büttner M., Alt C., Kenter T., Köstler H., Plessl C., Aizinger V.:
  Enabling Performance Portability for Shallow Water Equations on CPUs, GPUs, and FPGAs with SYCL
  PASC '24: Platform for Advanced Scientific Computing Conference (Zürich, 3. June 2024 - 5. June 2024)
  In: PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference, New York, NY: 2024
  DOI: 10.1145/3659914.3659925
• Kemmler S., Cuéllar P., Köstler H.:
  A Fluid Solid Coupled Micromechanical Simulation of Piping Erosion During the Installation of a Suction Bucket for the Foundation of an Offshore Wind Turbine
  9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (Lissabon, 3. June 2024 - 7. June 2024)
• Kemmler S., Cuéllar P., Köstler H.:
  Gekoppelte Fluid Partikel Simulationen einer Suction Bucket Gründung zur Analyse von Piping Erosion während der Installation von Offshore Windkraftanlagen
  Gesinus-Treffen 2024 (Universität Stuttgart, 20. June 2024 - 21. June 2024)
• Suffa P., Kemmler S., Köstler H., Rüde U.:
  Highly Parallel Complex Moving Geometries on CPU and GPU using the Partially Saturated Cells Method
  33rd Discrete Simulation of Fluid Dynamics (DSFD) Conference (ETH Zürich Rämistrasse 101 8092 Zürich Schweiz, 9. July 2024 - 12. July 2024)

2023

• Angersbach R., Kuckuk S., Köstler H.:
  Generating Coupling Interfaces for Multiphysics Simulations with ExaStencils and waLBerla
  International Parallel and Distributed Processing Symposium (IPDPS) (St. Petersburg, Florida USA, 15. May 2023 - 19. May 2023)
  In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Los Alamitos, CA, USA: 2023
  DOI: 10.1109/IPDPSW59300.2023.00112
  URL: https://ieeexplore.ieee.org/document/10196550
• Chincholi F., Köstler H.:
  Detectron2 for Lesion Detection in Diabetic Retinopathy
  In: Algorithms 16 (2023), Article No.: 147
  ISSN: 1999-4893
  DOI: 10.3390/a16030147
• Dahmardeh M., Dastjerdi HM., Mazal H., Köstler H., Sandoghdar V.:
  Breaking new ground in protein detection: Self-supervised machine learning and iSCAT enable label-free detection of single proteins below 10 kDa
  Biophotonics Congress: Optics in the Life Sciences 2023, OMA, NTM, BODA, OMP, BRAIN 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences (Vancouver, BC, CAN, 24. April 2023 - 27. April 2023)
  In: Bio-Optics: Design and Application in Proceedings Biophotonics Congress: Optics in the Life Sciences 2023, OMA, NTM, BODA, OMP, BRAIN 2023 2023
  DOI: 10.1364/BODA.2023.JW2A.3
• Faghih-Naini S., Kuckuk S., Zint D., Kemmler S., Köstler H., Aizinger V.:
  Discontinuous Galerkin method for the shallow water equations on complex domains using masked block-structured grids
  In: Advances in Water Resources 182 (2023), Article No.: 104584
  ISSN: 0309-1708
  DOI: 10.1016/j.advwatres.2023.104584
• Kemmler S., Schwarzmeier C., Rettinger C., Plewinski J., Núñez-González F., Köstler H., Rüde U., Vowinckel B.:
  Geometrically Resolved Simulation of Upstream Migrating Antidune Formation and Propagation
  40th IAHR World Congres (Wien, 21. August 2023 - 25. August 2023)
• Parthasarathy D., Schmitt J., Köstler H.:
  Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic Programming
  2023 Genetic and Evolutionary Computation Conference Companion, GECCO 2023 Companion (Lisbon, PRT, 15. July 2023 - 19. July 2023)
  In: GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion 2023
  DOI: 10.1145/3583133.3590734
• da Rosa Righi R., Galante G., Rodrigues VF., Yeom H., Köstler H., Singh M., Li GP.:
  Designing cloud-friendly HPC applications
  In: Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux (ed.): High Performance Computing in Clouds. Moving HPC Applications to a Scalable and Cost-Effective Environment, Cham: Springer Nature, 2023
  ISBN: 9783031297694
  DOI: 10.1007/978-3-031-29769-4_6

2022

• Alt C., Opdenhövel JO., Plessl C., Kenter T., Hönig J., Köstler H.:
  Bringing Water to the Fields - A Code Generation Pipeline for SWE Simulations on FPGAs
  ISC High Performance 2022 (Hamburg, 30. May 2022 - 1. June 2022)
• Angersbach R., Köstler H., Kuckuk S.:
  Fusion of Massively-Parallel Simulation Frameworks and Code Generation Methodologies for Lattice Boltzmann and Multigrid Applications
  Platform for Advanced Scientific Computing (PASC) Conference (Congress Center Basel, Switzerland., 27. June 2022 - 29. June 2022)
  URL: https://pasc22.pasc-conference.org/fileadmin/user_upload/pasc22/pdf/P41_pos144s2-file1.pdf
• Datar C., Köstler H.:
  EVALUATING MULTIGRID-IN-TIME ALGORITHM FOR LAYER-PARALLEL TRAINING OF RESIDUAL NETWORKS
  8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022 (Oslo, 5. June 2022 - 9. June 2022)
  In: eccomas2022 2022
  DOI: 10.23967/eccomas.2022.239
• Heisig M., Köstler H.:
  Closing the Performance Gap Between Lisp and C
  The 15th European Lisp Symposium (Porto, 21. March 2022 - 22. March 2022)
  In: Proceedings of The 15th European Lisp Symposium 2022
  DOI: 10.5281/zenodo.6335627
• Jacob SJ., Mrosek M., Othmer C., Köstler H.:
  Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes
  In: SAE International Journal of Passenger Vehicle Systems 15 (2022), p. 77-90
  ISSN: 2770-3460
  DOI: 10.4271/15-15-02-0006
• Schmitt J., Köstler H.:
  Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming
  Genetic and Evolutionary Computation Conference (GECCO ’22) (Boston, Massachusetts, 9. July 2022 - 13. July 2022)
  In: Association for Computing Machinery (ed.): Proceedings of the Genetic and Evolutionary Computation Conference 2022
  DOI: 10.1145/3512290.3528688
• Zint D., Grosso R., Aizinger V., Faghih-Naini S., Kuckuk S., Köstler H.:
  Automatic Generation of Load-Balancing-Aware Block-Structured Grids for Complex Ocean Domains.
  2022 SIAM International Meshing Roundtable
  In: Robinson, Trevor ; Moxey, David ; Tomov, Vladimir Z. (ed.) (ed.): Proceedings of the 2022 SIAM International Meshing Roundtable 2022
  DOI: 10.5281/zenodo.6562440

2021

• Holzer M., Bauer M., Köstler H., Rüde U.:
  Highly efficient lattice Boltzmann multiphase simulations of immiscible fluids at high-density ratios on CPUs and GPUs through code generation
  In: International Journal of High Performance Computing Applications (2021)
  ISSN: 1094-3420
  DOI: 10.1177/10943420211016525
• Schmitt J., Kuckuk S., Köstler H.:
  EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods
  In: Genetic Programming and Evolvable Machines (2021)
  ISSN: 1389-2576
  DOI: 10.1007/s10710-021-09412-w
  URL: http://link.springer.com/article/10.1007/s10710-021-09412-w
• Sobania D., Schmitt J., Köstler H., Rothlauf F.:
  Genetic programming for iterative numerical methods
  In: Genetic Programming and Evolvable Machines (2021)
  ISSN: 1389-2576
  DOI: 10.1007/s10710-021-09425-5

2020

• Köstler H., Heisig M., Kohl N., Kuckuk S., Bauer M., Rüde U.:
  Code generation approaches for parallel geometric multigrid solvers
  In: Analele Stiintifice ale Universitatii Ovidius Constanta, Seria Matematica 28 (2020), p. 123-152
  ISSN: 1844-0835
  DOI: 10.2478/auom-2020-0038
• Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
  ExaStencils: Advanced multigrid solver generation
  In: Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel (ed.): Lecture notes in computational science and engineering, Cham: Springer, 2020, p. 405-452 (Software for Exascale Computing SPPEXA 2016 – 2019, Vol.136)
  ISBN: 978-3-030-47955-8
  DOI: 10.1007/978-3-030-47956-5
  URL: https://library.oapen.org/bitstream/handle/20.500.12657/41289/2020_Book_SoftwareForExascaleComputing-S.pdf?sequence=1#page=411
• Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
  ExaStencils – Advanced Multigrid Solver Generation
  In: Hans-Joachim Bungartz, Severin Reiz, Philipp Neumann, Benjamin Uekermann, Wolfgang Nagel (ed.): Software for Exascale Computing – SPPEXA 2016-2019, Springer, 2020, p. 405-452 (Lecture Notes in Computer Science and Engineering, Vol.136)
  ISBN: 978-3-030-47955-8
  DOI: 10.1007/978-3-030-47956-5_14
  URL: https://www12.cs.fau.de/downloads/hannig/publications/ExaStencils_Advanced_Multigrid_Solver_Generation.pdf
• Schmitt J., Kuckuk S., Köstler H.:
  Constructing Efficient Multigrid Solvers with Genetic Programming
  Genetic and Evolutionary Computation Conference (GECCO '20) (Cancún, 8. July 2020 - 12. July 2020)
  In: Association for Computing Machinery (ed.): Proceedings of the 2020 Genetic and Evolutionary Computation Conference, New York, NY, USA: 2020
  DOI: 10.1145/3377930.3389811

2019

• Bauer M., Hötzer J., Ernst D., Hammer J., Seiz M., Hierl H., Hönig J., Köstler H., Wellein G., Nestler B., Rüde U.:
  Code generation for massively parallel phase-field simulations
  2019 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019 (Denver, CO, 17. November 2019 - 22. November 2019)
  In: International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019
  DOI: 10.1145/3295500.3356186
• Zint D., Grosso R., Aizinger V., Köstler H.:
  Generation of Block Structured Grids on Complex Domains for High Performance Simulation
  In: Computational Mathematics and Mathematical Physics 59 (2019), p. 2108-2123
  ISSN: 0965-5425
  DOI: 10.1134/S0965542519120182
• Zint D., Grosso R., Aizinger V., Köstler H.:
  Generation of Block Structured Grids on Complex Domains for High Performance Simulation
  9th International Conference of Numerical Geometry, Grid Generation and Scientific Computing (Dorodnicyn Computing Center, Moscow, 3. December 2018 - 5. December 2018)
  In: Springer International Publishing, Cham (ed.): Numerical Geometry, Grid Generation and Scientific Computing, Cham: 2019
  DOI: 10.1007/978-3-030-23436-2_6

2018

• Kohl N., Hötzer J., Schornbaum F., Bauer M., Godenschwager C., Köstler H., Nestler B., Rüde U.:
  A scalable and extensible checkpointing scheme for massively parallel simulations
  In: International Journal of High Performance Computing Applications (2018)
  ISSN: 1094-3420
  DOI: 10.1177/1094342018767736
• Kuckuk S., Köstler H.:
  Code Generation for Massively Parallel PDE Solvers
  Computational Science at Scale (CoSaS) (Erlangen, 5. September 2018 - 7. September 2018)
• Kuckuk S., Köstler H.:
  Generation of Highly Parallel Multigrid Solvers for CFD Applications
  SIAM Conference on Parallel Processing for Scientific Computing 2018 (Tokio, 7. March 2018 - 10. March 2018)

2017

• Köstler H., Schmitt C., Kuckuk S., Kronawitter S., Hannig F., Teich J., Rüde U., Lengauer C.:
  A Scala Prototype to Generate Multigrid Solver Implementations for Different Problems and Target Multi-Core Platforms
  In: International Journal of Computational Science and Engineering 14 (2017), p. 150-163
  ISSN: 1742-7185
  DOI: 10.1504/IJCSE.2017.10003829

2016

• Bauer M., Schornbaum F., Godenschwager C., Markl M., Anderl D., Köstler H., Rüde U.:
  A Python extension for the massively parallel multiphysics simulation framework waLBerla
  In: International Journal of Parallel, Emergent and Distributed Systems 31 (2016), p. 529-542
  ISSN: 1744-5760
  DOI: 10.1080/17445760.2015.1118478
  URL: https://www.tandfonline.com/doi/abs/10.1080/17445760.2015.1118478
• Kuckuk S., Köstler H.:
  Automatic Code Generation for Simulating Non-Newtonian Fluid Flows with ExaStencils
  SIAM Conference on Parallel Processing 2016 (Paris, 12. April 2016 - 15. April 2016)
• Kuckuk S., Köstler H.:
  Automatic Code Generation for Simulations of Non-Newtonian Fluids
  PASC'16 (Lausanne, 8. June 2016 - 10. June 2016)
• Kuckuk S., Köstler H.:
  Automatic Generation of Massively Parallel Codes from ExaSlang
  In: Computation 4 (2016), p. 1-20
  ISSN: 2079-3197
  Open Access: http://www.mdpi.com/2079-3197/4/3/27
  URL: http://www.mdpi.com/2079-3197/4/3/27/pdf
• Rühaak Jan, König Lars, Tramnitzke Florian, Köstler Harald, Modersitzki Jan:
  A matrix-free approach to efficient affine-linear image registration on CPU and GPU
  In: Journal of Real-Time Image Processing (2016), p. 1-21
  ISSN: 1861-8200
  DOI: 10.1007/s11554-016-0564-4
  URL: http://link.springer.com/article/10.1007/s11554-016-0564-4
• Schmitt J., Köstler H.:
  A Multi-Objective Genetic Algorithm for Simulating Optimal Fights in StarCraft II
  IEEE Conference on Computational Intelligence and Games (CIG) (Santorini, 20. September 2016 - 23. September 2016)
  In: IEEE (ed.): 2016 IEEE Conference on Computational Intelligence and Games (CIG) 2016
  DOI: 10.1109/CIG.2016.7860422
  URL: https://ieeexplore.ieee.org/document/7860422/

2015

• Bauer M., Pursiainen S., Vorwerk J., Köstler H., Wolters C.:
  Comparison Study for Whitney (Raviart-Thomas)-Type Source Models in Finite-Element-Methods-Based EEG Forward Modeling
  In: IEEE transactions on bio-medical engineering 62 (2015), p. 2648-2656
  ISSN: 1558-2531
  DOI: 10.1109/TBME.2015.2439282
  URL: http://www.sci.utah.edu/~wolters/PaperWolters/2015/BauerPursiainenVorwerkKoestlerWolters_IEEETransBiomedEng_2015.pdf
• Bauer M., Schornbaum F., Godenschwager C., Markl M., Anderl D., Rüde U., Köstler H.:
  A Python extension for the massively parallel multiphysics simulation framework waLBerla
  In: International Journal of Distributed and Parallel Systems (2015), p. 1-14
  ISSN: 2229-3957
  DOI: 10.1080/17445760.2015.1118478
  URL: http://www.tandfonline.com/doi/full/10.1080/17445760.2015.1118478
• Gaffling S., Daum V., Steidl S., Maier A., Köstler H., Hornegger J.:
  A Gauss-Seidel Iteration Scheme for Reference-Free 3-D Histological Image Reconstruction
  In: IEEE Transactions on Medical Imaging 34/2015 (2015), p. 1-17
  ISSN: 0278-0062
  DOI: 10.1109/TMI.2014.2361784
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Gaffling15-AGI.pdf
• Tramnitzke F., Rühaak J., König L., Modersitzki J., Köstler Harald:
  GPU Based Affine Linear Image Registration using Normalized Gradient Fields
  Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI) (Boston)
  In: Proc. Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI) 2015
  URL: https://www.mic.uni-luebeck.de/uploads/tx_wapublications/tramnitzke2014gpu.pdf
• Reuter B., Aizinger V., Köstler H.:
  A multi-platform scaling study for an OpenMP parallelization of a discontinuous Galerkin ocean model
  In: Computers & Fluids 117 (2015), p. 325 - 335
  ISSN: 0045-7930
  DOI: 10.1016/j.compfluid.2015.05.020
  URL: https://www1.am.uni-erlangen.de/research/publications/Jahr_2015/2015_ReuterAizingerKoestler_MultiPlatformScalingOpenMPdGoceanModel.pdf
• Schmitt C., Schmid M., Hannig F., Teich J., Kuckuk S., Köstler H.:
  Generation of Multigrid-based Numerical Solvers for FPGA Accelerators
  2nd International Workshop on High-Performance Stencil Computations (HiStencils) (Amsterdam, 20. January 2015 - 20. January 2015)
  In: Proceedings of the 2nd International Workshop on High-Performance Stencil Computations (HiStencils) 2015
  URL: https://www12.cs.fau.de/downloads/schmittch/publications/SSHTKK15histencils.pdf

2014

• Bauer M., Schornbaum F., Godenschwager C., Markl M., Anderl D., Köstler H., Rüde U.:
  A Python extension for the massively parallel framework waLBerla
  4th Workshop on Python for High Performance and Scientific Computing (New Orleans, 17. November 2014 - 17. November 2014)
  In: online 2014
  URL: http://www.dlr.de/sc/Portaldata/15/Resources/dokumente/pyhpc2014/submissions/pyhpc2014_submission_5.pdf
• Grebhahn A., Kuckuk S., Schmitt C., Köstler H., Siegmund N., Apel S., Hannig F., Teich J.:
  Experiments on Optimizing the Performance of Stencil Codes with SPL Conqueror
  In: Parallel Processing Letters 24 (2014)
  ISSN: 0129-6264
  DOI: 10.1142/S0129626414410011
• Kuckuk S., Gmeiner B., Köstler H., Rüde U.:
  A Generic Prototype to Benchmark Algorithms and Data Structures
  In: Parallel Computing: Accelerating Computational Science and Engineering (CSE), Berlin: IOS Press, 2014, p. 813-822 (Advances in Parallel Computing, Vol.25)
  ISBN: 978-1-61499-380-3
  DOI: 10.3233/978-1-61499-381-0-813
  URL: http://ebooks.iospress.nl/volumearticle/35957
• Kuckuk S., Schmitt C., Köstler H., Hannig F., Teich J.:
  Generating Highly Parallel Geometric Multigrid Solvers with the ExaStencils Apporach
  3rd Workshop on Extreme-scale Programming Tools (New Orleans, 17. November 2014 - 17. November 2014)
• Köstler H., Feichtinger C., Rüde U., Aoki T.:
  A Geometric Multigrid Solver on Tsubame 2.0
  In: Bruhn A, Pock Th, Tai X-C (ed.): Efficient Algorithms for Global Optimisation Methods in Computer Vision, Berlin, Heidelberg, New York: Springer, 2014, p. 155-173 (Lecture Notes in Computer Science, Vol.8293)
  ISBN: 978-3-642-54774-4
  DOI: 10.1007/978-3-642-54774-4-8
  URL: http://link.springer.com/content/pdf/10.1007%2F978-3-642-54774-4_8.pdf
• Köstler H., Kuckuk S.:
  Automatic Generation of Algorithms and Data Structures for Geometric Multigrid
  SIAM Conference on Parallel Processing for Scientific Computing (Portland, 18. February 2014 - 21. February 2014)
• Lengauer C., Apel S., Bolten M., Größlinger A., Hannig F., Köstler H., Rüde U., Teich J., Grebhahn A., Kronawitter S., Kuckuk S., Rittich H., Schmitt C.:
  ExaStencils: Advanced Stencil-Code Engineering - First Project Report
  (2014)
  Open Access: http://www.fim.uni-passau.de/fileadmin/files/forschung/mip-berichte/MIP1401.pdf
  (Techreport)
• Lengauer C., Apel S., Größlinger A., Grebhahn A., Kronawitter S., Bolten M., Rittich H., Hannig F., Köstler H., Rüde U., Teich J., Kuckuk S., Schmitt C.:
  ExaStencils: Advanced Stencil-Code Engineering
  Euro-Par: Parallel Processing Workshops (Porto, 25. August 2014 - 26. August 2014)
  In: Proceedings of Euro-Par 2014: Parallel Processing Workshops, Berlin; Heidelberg: 2014
  DOI: 10.1007/978-3-319-14313-2_47
  URL: http://link.springer.com/content/pdf/10.1007/978-3-319-14313-2_47.pdf
• Schmitt C., Kuckuk S., Hannig F., Köstler H., Teich J.:
  ExaSlang: A Domain-Specific Language for Highly Scalable Multigrid Solvers
  4th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC) (New Orleans, LA, USA, 17. November 2014 - 17. November 2014)
  In: Proc. of the 4th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC), New York, NY, USA: 2014
  DOI: 10.1109/WOLFHPC.2014.11
• Schmitt C., Kuckuk S., Köstler H., Hannig F., Teich J.:
  An Evaluation of Domain-Specific Language Technologies for Code Generation
  14th International Conference on Computational Science and its Applications (ICCSA) (Minho, Guimaraes, 30. June 2014 - 3. July 2014)
  In: Proc. of the 14th International Conference on Computational Science and its Applications (ICCSA), New York, NY, USA: 2014
  DOI: 10.1109/ICCSA.2014.16

2013

• Godenschwager C., Schornbaum F., Bauer M., Köstler H., Rüde U.:
  A Framework for Hybrid Parallel Flow Simulations with a Trillion Cells in Complex Geometries
  SC13: International Conference for High Performance Computing, Networking, Storage and Analysis (Denver, 17. November 2013 - 22. November 2013)
  In: Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis 2013
  DOI: 10.1145/2503210.2503273
  URL: https://www10.informatik.uni-erlangen.de/Publications/Papers/2013/Godenschwager_SC13.pdf
• Kuckuk S., Köstler H.:
  A Framework for Interactive Physical Simulations on Remote HPC Clusters
  CS-2013-06 (2013), p. 1-10
  ISSN: 2191-5008
  Open Access: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/5024
  URL: http://opus4.kobv.de/opus4-fau/files/5024/Kuckuk_2013_VIPER.pdf
  (Techreport)
• Köstler H., Gmeiner B.:
  A Multi-objective Genetic Algorithm for Build Order Optimization in StarCraft II
  In: Künstliche Intelligenz 27 (2013), p. 221-223
  ISSN: 0933-1875
  DOI: 10.1007/s13218-013-0263-2
• Köstler H., Ritter D., Feichtinger C.:
  A Geometric Multigrid Solver on GPU Clusters
  In: GPU Solutions to Multi-scale Problems in Science and Engineering, Berlin Heidelberg: Springer, 2013, p. 407-422 (Lecture Notes in Earth System Sciences)
  ISBN: 978-3-642-16404-0
  DOI: 10.1007/978-3-642-16405-7_26
  URL: http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-16404-0

2012

• Alassi S., Kowarschik M., Pohl T., Köstler H., Rüde U.:
  Estimating Blood Flow Based on 2D Angiographic Image Sequences
  In: Bildverarbeitung für die Medizin 2012, Berlin, Heidelberg: Springer, 2012, p. 380-385
  ISBN: 978-3-642-28502-8
  DOI: 10.1007/978-3-642-28502-8-66
  URL: http://link.springer.com/content/pdf/10.1007/978-3-642-28502-8_66.pdf
• Stürmer M., Köstler H., Rüde U.:
  Fast wavelet transform utilizing a multicore-aware framework
  In: Jonasson K (ed.): Applied Parallel and Scientific Computing, Berlin, Heidelberg, New York: Springer-verlag, 2012, p. 313-323 (Lecture Notes in Computer Science, Vol.7134)
  ISBN: 9783642281440
  DOI: 10.1007/978-3-642-28145-7_31
  URL: http://link.springer.com/content/pdf/10.1007%2F978-3-642-28145-7_31.pdf

2011

• Feichtinger C., Köstler H., Hager G., Rüde U., Wellein G., Habich J.:
  A flexible Patch-based lattice Boltzmann parallelization approach for heterogeneous GPU-CPU clusters
  In: Parallel Computing 37 (2011), p. 536-549
  ISSN: 0167-8191
  DOI: 10.1016/j.parco.2011.03.005
  URL: http://www.sciencedirect.com/science/article/pii/S0167819111000342
• Gmeiner B., Gradl T., Köstler H., Rüde U.:
  Analysis of a flat Highly Parallel Geometric Multigrid Algorithm for Hierarchical Hybrid Grids
  (2011), p. 11
  URL: https://www10.cs.fau.de/publications/reports/TechRep_2011-03.pdf
  (Techreport)

2010

• Bartuschat D., Stürmer M., Köstler H.:
  An Orthogonal Matching Pursuit Algorithm for Image Denoising on the Cell Broadband Engine
  8th International Conference, PPAM 2009 (Wroclaw, 13. September 2009 - 16. September 2009)
  In: Parallel Processing and Applied Mathematics, Berlin Heidelberg: 2010
  DOI: 10.1007/978-3-642-14390-8_58
  URL: http://www.springerlink.com/content/JXJ06Q00R1U03516
• Feichtinger C., Habich J., Köstler H., Hager G., Rüde U., Wellein G.:
  A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters
  (2010), p. 18
  URL: https://www10.cs.fau.de/publications/reports/TechRep_2010-07.pdf
  (Techreport)
• Roman W., Köstler H.:
  A practical framework for the construction of prolongation operators for multigrid based on canonical basis functions
  In: Computing and Visualization in Science 13 (2010), p. 207-220
  ISSN: 1432-9360
  DOI: 10.1007/s00791-010-0138-0
  URL: http://www.springerlink.com/content/cm30372356013201/

2009

• Bartuschat D., Borsdorf A., Köstler H., Rubinstein R., Stürmer M.:
  A parallel K-SVD implementation for CT image denoising
  (2009), p. 26
  URL: https://www10.cs.fau.de/publications/reports/TechRep_2009-01.pdf
  (Techreport)
• Stürmer M., Wellein G., Hager G., Köstler H., Rüde U.:
  Challenges and Potentials of Emerging Multicore Architectures
  Third Joint HLRB and KONWIHR Status and Result Workshop (Garching, 3. December 2007 - 4. December 2007)
  In: High Performance Computing in Science and Engineering Garching-Munich 2007, Berlin Heidelberg: 2009
  URL: http://www.springer.com/math/cse/book/978-3-540-69181-5

2008

• Han J., Köstler H., Bennewitz C., Kuwert T., Hornegger J.:
  Computer-aided evaluation of anatomical accuracy of image fusion between X-ray CT and SPECT
  In: Computerized Medical Imaging and Graphics 32 (2008), p. 388-395
  ISSN: 0895-6111
  DOI: 10.1016/j.compmedimag.2008.03.002
• Köstler H.:
  A Multigrid Framework for Variational Approaches in Medical Image Processing and Computer Vision
  München: Dr. Hut Verlag, 2008
  ISBN: 978-3-89963-761-8
• Köstler, Harald:
  A Multigrid Framework for Variational Approaches in Medical Image Processing and Computer Vision (Dissertation, 2008)
  URL: https://www10.cs.fau.de/publications/dissertations/Diss_2008-Koestler.pdf
• Köstler H., Popa C., Prümmer M., Rüde U.:
  Algebraic Full Multigrid in Image Reconstruction
  5th Workshop on Mathematical Modellingof Environmental and Life Sciences Problems (Constanta, Romania, 10. September 2006 - 13. September 2006)
  In: Stelian I, Marinoschi G, Popa C (ed.): Series on Mathematical Modelling of Environmental and Life Sciences, Proceedings of the fifth workshop, September, 2006, Constanta, Romania, Bukarest: 2008
  Open Access: https://www10.cs.fau.de/publications/papers/2008/KoestlPopaPruemmRuede08.pdf
  URL: https://www10.cs.fau.de/publications/papers/2008/KoestlPopaPruemmRuede08.pdf
• Köstler H., Schmid R., Rüde U., Scheit C.:
  A parallel multigrid accelerated Poisson solver for ab initio molecular dynamics application
  In: Computing and Visualization in Science 11 (2008), p. 115-122
  ISSN: 1432-9360
  DOI: 10.1007/s00791-007-0062-0
  URL: http://link.springer.com/article/10.1007/s00791-007-0062-0
• Stürmer M., Köstler H., Rüde U.:
  A fast full multigrid solver for applications in image processing
  In: Numerical Linear Algebra With Applications 15 (2008), p. 187-200
  ISSN: 1070-5325
  DOI: 10.1002/nla.563
  URL: http://onlinelibrary.wiley.com/doi/10.1002/nla.703/pdf
• Stürmer M., Ritter D., Köstler H., Rüde U.:
  Experiences with Numerical Codes on the Cell Broadband Engine Architecture
  International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08) (Lake Como, Italy, 8. November 2008 - 8. November 2008)
  In: Buchty R, Weiß J-P (ed.): High-performance and hardware-aware computing: proceedings of the first International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08), Karlsruhe: 2008
  DOI: 10.5445/KSP/1000009529
  URL: http://www.ksp.kit.edu/9783866442986

2007

• Kalmoun EM., Köstler H., Rüde U.:
  3D optical flow computation using a parallel variational multigrid scheme with application to cardiac C-arm CT motion
  In: Image and Vision Computing 25 (2007), p. 1482-1494
  ISSN: 0262-8856
  DOI: 10.1016/j.imavis.2006.12.017
  URL: http://www.sciencedirect.com/science/article/pii/S0262885606003696
• Stürmer M., Köstler H., Rüde U.:
  A fast full multigrid solver for applications in image processing
  (2007), p. 14
  URL: https://www10.cs.fau.de/publications/reports/TechRep_2007-06.pdf
  (Techreport)

2006

• Hornegger J., Köstler H., Rüde U., Prümmer M.:
  Adaptive variational sinogram interpolation of sparsely sampled CT data
  18th International Conference on Pattern Recognition, ICPR 2006 (Hong Kong, 20. August 2006 - 24. August 2006)
  In: Proceedings of the ICPR 2006 2006
  DOI: 10.1109/ICPR.2006.225
• Köstler H., Popa C., Rüde U.:
  Algebraic multigrid for general inconsistent linear systems: The correction step
  (2006), p. 10
  URL: https://www10.cs.fau.de/publications/reports/TechRep_2006-04.pdf
  (Techreport)
• Köstler H., Rüde U.:
  An accurate multigrid solver for computing singular solutions of elliptic problems
  In: Numerical Linear Algebra With Applications 13 (2006), p. 231-249
  ISSN: 1070-5325
  DOI: 10.1002/nla.478
  URL: http://dl.acm.org/ft_gateway.cfm?id=1218086&ftid=390490&coll=DL&dl=ACM&CFID=610112035&CFTOKEN=94651414
• Köstler H., Thürey N., Rüde U., Zheng Y.:
  Enhanced Motion Blur Calculation with Optical Flow
  Vision, Modeling and Visualization (Aachen)
  In: Proceedings of Vision, Modeling and Visualization 2006, Aachen: 2006
  URL: https://www10.informatik.uni-erlangen.de/Publications/Papers/2006/Zheng_VMV06.pdf
• Schmid R., Tafipolsky M., König PH., Köstler H.:
  Car-Parrinello molecular dynamics using real space waverfunctions
  In: physica status solidi (b) 243, Issue 5 (2006), p. 1001-1015
  ISSN: 0370-1972
  URL: http://onlinelibrary.wiley.com/doi/10.1002/pssb.200541391/pdf

2005

• Köstler H.:
  An accurate multigrid solver for computing singular solutions of elliptic problems
  12th Copper Mountain Conference on Multigrid Method (Copper Mountain)
  In: Abstracts Of the 12th Copper Mountain Conference on Multigrid Methods 2005
  URL: https://www10.informatik.uni-erlangen.de/Publications/Papers/2005/Koestler_MG05.pdf
• Prümmer M., Köstler H., Hornegger J., Rüde U.:
  A full multigrid technique to accelerate an ART scheme for tomographic image reconstruction
  Simulationstechnique 18th Symposium in Erlangen 2005 (Erlangen, 12. September 2005 - 15. September 2005)
  In: Hülsemann Frank, Kowarschik Markus, Rüde Ulrich (ed.): Frontiers in Simulation, Erlangen: 2005
  Open Access: https://www10.cs.fau.de/publications/papers/2005/Pruemmer_Koestler_ASIM05.pdf
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Pruemmer05-AFM.pdf

2004

• Köstler H., Rüde U.:
  Accurate Techniques for Computing Singular Solutions of Elliptic Problems
  (2004), p. 24
  URL: https://www10.cs.fau.de/publications/reports/TechRep_2004-03.pdf
  (Techreport)
• Köstler H., Rüde U.:
  Extrapolation Techniques for Computing Accurate Solutions of Elliptic Problems with Singular Solutions
  International Conference on Computational Science (Krakau)
  In: Computational Science - ICCS 2004, Berlin: 2004