Research

Simulation of Large Systems

Research Topics, projects, and software developments

Publications (Puma, under construction)

  1. 2023

    1. Hornischer, N.: Model Order Reduction with Dynamically Transformed Modes for Electrophysiological Simulations. GAMM Archive for Students. (2023).
    2. Pollinger, T., Van Craen, A., Niethammer, C., Breyer, M., Pflüger, D.: Leveraging the Compute Power of Two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique. Presented at the November 12 (2023). https://doi.org/10.1145/3581784.3607036.
    3. Breyer, M., Van Craen, A., Pflüger, D.: Performance Evolution of Different SYCL Implementations Based on the Parallel Least Squares Support Vector Machine Library. In: Proceedings of the 2023 International Workshop on OpenCL. Association for Computing Machinery, Cambridge, United Kingdom (2023). https://doi.org/10.1145/3585341.3585369.
    4. Breyer, M., Van Craen, A., Pflüger, D.: Performance Evolution of Different SYCL Implementations Based on the Parallel Least Squares Support Vector Machine Library. In: ACM (ed.) Proceedings of the 2023 International Workshop on OpenCL. Association for Computing Machinery, Cambridge, United Kingdom (2023). https://doi.org/10.1145/3585341.3585369.

  2. 2022

    1. Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach. Computational Geosciences. (2022). https://doi.org/10.1007/s10596-021-10120-8.
    2. Van Craen, A., Breyer, M., Pflüger, D.: PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 818–827 (2022). https://doi.org/10.1109/IPDPSW55747.2022.00138.
    3. Craen, A. van, Breyer, M., Pflüger, D.: PLSSVM : Parallel Least Squares Support Vector Machine. Software impacts. 14, 100343 (2022). https://doi.org/10.1016/j.simpa.2022.100343.
    4. Klink, M.: Time Error Estimators and Adaptive Time-stepping Schemes, (2022).
    5. Hornischer, N.: Model Order Reduction with Transformed Modes for Electrophysiological Simulations, (2022).
    6. Maier, B., Göddeke, D., Huber, F., Klotz, T., Röhrle, O., Schulte, M.: OpenDiHu: An Efficient and Scalable Framework for Biophysical Simulations of the Neuromuscular System, (2022).

  3. 2021

    1. Rodenberg, B., Desai, I., Hertrich, R., Jaust, A., Uekermann, B.: FEniCS–preCICE: Coupling FEniCS to other simulation software. SoftwareX. 16, 100807 (2021). https://doi.org/10.1016/j.softx.2021.100807.

  4. 2020

    1. Subramanian, S., Scheufele, K., Mehl, M., Biros, G.: Where did the tumor start? An inverse solver with sparse localization for tumor growth models. Inverse Problems. 36, (2020).
    2. Naseri, A., Totounferoush, A., Gonzales, I., Mehl, M., Perez-Segarra, C.D.: A scalable framework for the partitioned solution of fluid–structure interaction problems. Computational Mechanics. 66, 471--489 (2020).
    3. Jaust, A., Weishaupt, K., Mehl, M., Flemisch, B.: Partitioned coupling schemes for free-flow and porous-media applications with sharp interfaces. In: Klöfkorn, R., Keilegavlen, E., Radu, F.A., and Fuhrmann, J. (eds.) Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. pp. 605–613. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-030-43651-3_57.
    4. Naseri, A., Totounferoush, A., Gonzales, I., Mehl, M., Pérez-Segarra, C.: A scalable framework for the partitioned solution of fluid–structure interaction problems. In: Computational Mechanics. Springer (2020).
    5. Walter, J.R., Saini, H., Maier, B., Mostashiri, N., Aguayo, J.L., Zarshenas, H., Hinze, C., Shuva, S., Köhler, J., Sahrmann, A.S., Chang, C., Csiszar, A., Galliani, S., Cheng, L.K., Röhrle, O.: Comparative Study of a Biomechanical Model-based and Black-box Approach for Subject-Specific Movement Prediction. Presented at the (2020).
    6. Flemisch, B., Hermann, S., Holm, C., Mehl, M., Reina, G., Uekermann, B., Boehringer, D., Ertl, T., Grad, J.-N., Iglezakis, D., Jaust, A., Koch, T., Seeland, A., Weeber, R., Weik, F., Weishaupt, K.: Umgang mit Forschungssoftware an der Universität Stuttgart. Universität Stuttgart (2020). https://doi.org/10.18419/OPUS-11178.

  5. 2019

    1. Mehl, M., Lahnert, M.: Adaptive grid implementation for parallel continuum mechanics methods in particle simulations. The European Physical Journal Special Topics. 227, 1757--1778 (2019). https://doi.org/10.1140/epjst/e2019-800161-5.
    2. Scheufele, K., Mang, A., Gholami, A., Davatzikos, C., Biros, G., Mehl, M.: Coupling Brain-Tumor Biophysical Models and Diffeomorphic Image Registration. Computer Methods in Applied Mechanics and Engineering. 1--34 (2019). https://doi.org/10.1016/j.cma.2018.12.008.
    3. Maier, B., Emamy, N., Krämer, A., Mehl, M.: Highly Parallel Multi-Physics Simulation of Muscular Activation and EMG. Proceedings of VIII International Conference on Computational Methods for Coupled Problems in Science and Engineering. (2019).
    4. Brunn, M., Himthani, N., Biros, G., Mehl, M., Mang, A.: Fast 3D diffeomorphic image registration on GPUs. (2019).
    5. Totounferoush, A., Pour, N.E., Schröder, J., Roller, S., Mehl, M.: A New Load Balancing Approach for Coupled Multi-Physics Simulations. In: IPDPS Workshops. pp. 676–682. IEEE (2019).
    6. Scheufele, K., Subramanian, S., Mang, A., Biros, G., Mehl, M.: IMAGE-DRIVEN BIOPHYSICAL TUMOR GROWTH MODEL CALIBRATION. In: SIAM Journal on Scientific Computing. pp. 1--24. Springer (2019).

  6. 2018

    1. Bradley, C.P., Emamy, N., Ertl, T., Göddeke, D., Hessenthaler, A., Klotz, T., Krämer, A., Krone, M., Maier, B., Mehl, M., Rau, T., Röhrle, O.: Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems. Frontiers in Physiology. 9, 816--816 (2018). https://doi.org/10.3389/fphys.2018.00816.
    2. Bradley, C.P., Emamy, N., Ertl, T., Göddeke, D., Hessenthaler, A., Klotz, T., Krämer, A., Krone, M., Maier, B., Mehl, M., Rau, T., Röhrle, O.: Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems. FRONTIERS IN PHYSIOLOGY. 9, (2018). https://doi.org/10.3389/fphys.2018.00816.
    3. Emamy, N., Litty, P., Klotz, T., Mehl, M., Röhrle, O.: POD-DEIM model order reduction of the Monodomain Reaction-Diffusion Sub-Model of the Neuro-Muscular System. In: Fehr, J. and Haasdonk, B. (eds.) IUTAM Symposium on Model Order Reduction of Coupled Systems; Stuttgart, Germany, May 22-25, 2018: MORCOS 2018. pp. 1--14. Springer (2018).
    4. Pfander, D., Brunn, M., Pflüger, D.: AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. In: IPDPS Workshops. pp. 1123–1132. IEEE Computer Society (2018).
    5. Hirschmann, S., Lahnert, M., Schober, C., Brunn, M., Mehl, M., Pflüger, D.: Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications. In: Nagel, W.E., Kröner, D.H., and Resch, M.M. (eds.) High Performance Computing in Science and Engineering ’18. pp. 1--510. Springer International Publishing (2018). https://doi.org/10.1007/978-3-030-13325-2.
    6. Emamy, N., Litty, P., Klotz, T., Mehl, M., Röhrle, O.: POD-DEIM model order reduction for the Monodomain reaction-dissusion equation in neuro-muscular system. In: Owen, R., de Borst, R., Reese, J., and Pearce, C. (eds.) Proceedings of 6th European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) (ECCM 6) and the 7th European Conference on Computational Fluid Dynamics (ECFD 7); Glasgow, UK, June 11-15, 2018. pp. 2514--2524. International Center for Numerical Methods in Engineerin (CIMNE) (2018).
    7. Hirschmann, S., Lahnert, M., Schober, C., Brunn, M., Mehl, M., Pflüger, D.: Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications. In: Nagel, W.E., Kröner, D.H., and Resch, M.M. (eds.) High Performance Computing in Science and Engineering ’18. pp. 1--510. Springer International Publishing (2018). https://doi.org/10.1007/978-3-030-13325-2.

  7. 2017

    1. Scheufele, K., Mehl, M.: ROBUST MULTI-SECANT QUASI-NEWTON VARIANTS FOR PARALLEL FLUID-STRUCTURE SIMULATIONS—AND OTHER MULTIPHYSICS APPLICATIONS. Siam Journal on Scientific Computing, Volume 39, Issue 5. 39, 404--433 (2017).
    2. Hirschmann, S., Brunn, M., Lahnert, M., Glass, C.W., Mehl, M., Pflüger, D.: Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. In: Advances in Parallel Computing. pp. 455--464. IOS Press (2017). https://doi.org/10.3233/978-1-61499-843-3-455.
    3. Hirschmann, S., Brunn, M., Lahnert, M., Glass, C.W., Mehl, M., Pflüger, D.: Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. In: Advances in Parallel Computing. pp. 455--464. IOS Press (2017). https://doi.org/10.3233/978-1-61499-843-3-455.
    4. Lindner, F., Mehl, M., Uekermann, B.: Radial Basis Function Interpolation for Black-Box Multi-Physics Simulations. In: for Numerical Methods in Engineering (CIMNE), I.C. (ed.) Proceedings of the VII International Conference on Coupled Problems in Science and Engineering. pp. 50--61. CIMNE, Barcelona, Spain (2017).
    5. Gholami, A., Mang, A., Scheufele, K., Davatzikos, C., Mehl, M., Biros, G.: A Framework for Scalable Biophysics-based Image Analysis. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC17. pp. 1--13. ACM, New York, NY, USA (2017). https://doi.org/10.1145/3126908.3126930.
    6. Mang, A., Tarakan, S., Gholami, A., Himthani, N., Subramanian, Shanshank, Levitt, J., Azmat, M., Scheufele, K., Mehl, M., Davatzikos, C., Bart, B., Biros, G.: SIBIA-GlS: Scalable Biophysics-Based Image Analysis for Glioma Segmentation. In: The multimodal brain tumor image segmentation benchmark (BRATS), MICCAI. pp. 202--209. - (2017).
    7. Schober, C., Keerl, D., Lehmann, M., Mehl, M.: Simulating the Interaction of Electrostatically Charged Particles in the Inflow Area of Cabin Air Filters Using a Fully Coupled System. In: Proceedings of the VII International Conference on Coupled Problems in Science and Engineering. pp. 77--88. CIMNE, Barcelona, Spain (2017).
    8. Brunn, M.: Coupling of Particle Simulation and Lattice Boltzmann Background Flow on Adaptive Grids, http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=MSTR-0036&engl=1, (2017).

  8. 2016

    1. Mehl, M., Uekermann, B., Bijl, H., Blom, D., Gatzhammer, B., van Zuijlen, A.: Parallel coupling numerics for partitioned fluid–structure interaction simulations. Computers & Mathematics with Applications. 71, 869--891 (2016). http://dx.doi.org/10.1016/j.camwa.2015.12.025.
    2. Bungartz, H.-J., Lindner, F., Gatzhammer, B., Mehl, M., Scheufele, K., Shukaev, A., Uekermann, B.: preCICE – A Fully Parallel Library for Multi-Physics Surface Coupling. Computers & Fluids. 1--1 (2016). http://dx.doi.org/10.1016/j.compfluid.2016.04.003.
    3. Lahnert, M., Burstedde, C., Holm, C., Mehl, M., Rempfer, G., Weik, F.: Towards Lattice-Boltzmann on Dynamically Adaptive Grids -- Minimally-Invasive Grid Exchange in ESPResSo. In: Papadrakakis, M., Papadopoulos, V., Stefanou, G., and Plevris, V. (eds.) ECCOMAS Congress 2016, VII European Congress on Computational Methods in Applied Sciences and Engineering. pp. 1--25. ECCOMAS (2016).
    4. Bakhtiari, A., Malhotra, D., Raoofy, A., Mehl, M., Bungartz, H.-J., Biros, G.: A Parallel Arbitrary-order Accurate AMR Algorithm for the Scalar Advection-diffusion Equation. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. pp. 1--12. IEEE Press, Piscataway, NJ, USA (2016).
    5. Lahnert, M., Aoki, T., Burstedde, C., Mehl, M.: Minimally-Invasive Integration of P4est in Espresso for Adaptive Lattice-Boltzmann. In: The 30th Computational Fluid Dynamics Symposium ; Tokyo, Japan, December 12--14, 2016. pp. 1--7. Japan Society of Fluid Mechanics (2016).
    6. Brunn, M.: Data-mining on adaptively refined sparse grids with higher order basis functions on GPUs, http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=BCLR-2479&engl=1, (2016).

  9. 2015

    1. Bungartz, H.-J., Lindner, F., Mehl, M., Uekermann, B.: A plug-and-play coupling approach for parallel multi-field simulations. Computational Mechanics. 55, 1119--1129 (2015).
    2. Mehl, M., Bischoff, M., Schäfer, M. eds: Recent Trends in Computational Engineering. Springer, Berlin, Heidelberg, New York (2015).
    3. Blom, D., Lindner, F., Mehl, M., Scheufele, K., van Zuijlen, A.: A Review on Fast Quasi-Newton and Accelerated Fixed Point Iterations for Partitioned Fluid-Structure Interaction Simulation. In: Advances in Computational Fluid-Structure Interaction. pp. 1--12. Springer International Publishing (2015).
    4. Bungartz, H.-J., Klimach, H., Krupp, V., Lindner, F., Mehl, M., Roller, S., Uekermann, B.: Fluid-Acoustics Interaction on Massively Parallel Systems. In: Recent Trends in Computational Engineering. pp. 151--165. Springer, Berlin, Heidelberg, New York (2015).
    5. Blom, D., Uekermann, B., Mehl, M., van Zuijlen, A., Bijl, H.: Multi-Level Acceleration of Parallel Coupled Partitioned Fluid-Structure Interaction with Manifold Mapping. In: Recent Trends in Computational Engineering. pp. 135--150. Springer, Berlin, Heidelberg, New York (2015).
    6. Lindner, F., Mehl, M., Scheufele, K., Uekermann, B.: A Comparison of various Quasi-Newton Schemes for Partitioned Fluid-Structure Interaction. In: Coupled Problems. ECCOMAS (2015).
    7. Wagner, S., Pflüger, D., Mehl, M.: Simulation Software Engineering: Experiences and Challenges. In: Proceedings of the 3rd International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering. pp. 1--4. ACM (2015). https://doi.org/10.1145/2830168.2830171.

  10. 2014

    1. Hester, B., Ertl, T., Mehl, M., Roller, S., Sternel, D.: ExaFSA -- Exascale Simulation of Fluid-Structure-Acoustics Interactions. inSiDE. 12, 78--81 (2014).
    2. Uekermann, B., Gatzhammer, B., Mehl, M.: Coupling Algorithms for Partitioned Multi-Physics Simulations. In: Proceedings of the Informatik 2014 Conference. GI (2014).
    3. Uekermann, B., Cajas, J.C., Gatzhammer, B., Houzeaux, G., Mehl, M., Vazquez, M.: Towards Partitioned Fluid-Structure Interaction on Massively Parallel Systems. In: Proceedings of WCCM XI / ECCM V / ECFD VI. Sonstige (2014).

  11. 2013

    1. Uekermann, B., Bungartz, H.-J., Gatzhammer, B., Mehl, M.: A Parallel, Black-Box Coupling for Fluid-Structure Interaction. In: Idelsohn, S., Papadrakakis, M., and Schrefler, B. (eds.) Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2013. //congress.cimne.com/coupled2013/proceedings/), Stanta, Eulalia; Ibiza, Spain (2013).

  12. 2012

    1. Neumann, P., Bungartz, H.-J., Mehl, M., Neckel, T., Weinzierl, T.: A Coupled Approach for Fluid Dynamic Problems Using the PDE Framework Peano. Commun. Comput. Phys. 12, 65--84 (2012).
    2. Benk, J., Ulbrich, M., Mehl, M.: The Nitsche Method of the Navier-Stokes Equations for Immersed and Moving Boundaries. In: In Seventh International Conference on Computational Fluid Dynamics. Sonstige, Hawaii (2012).
    3. Lieb, M., Mehl, M., Neckel, T., Unterweger, K.: HPC Fluid Flow Simulations in Porous Media Geometries. In: Seventh International Conference on Computational Fluid Dynamics. Sonstige, NASA , Ames (2012).
    4. Michael, B., Hans-Joachim, B., Dan, G., Mehl, M., Mundani, R.-P., Potolea, R. eds: ISPDC 2012 - 11th International Symposium on Parallel and Distributed Computing. IEEE Computer Society, Los Alamitos (2012).

  13. 2011

    1. Hans-Joachim, B., Bernhard, G., Michael, L., Mehl, M., Neckel, T.: Towards Multi-Phase Flow Simulations in the PDE Framework Peano. Computational Mechanics. 48, 365--376 (2011).
    2. Weinzierl, T., Mehl, M.: Peano -- A Traversal and Storage Scheme for Octree-Like Adaptive Cartesian Multiscale Grids. SIAM Journal on Scientific Computing. 33, 2732--2760 (2011).
    3. Bader, M., Bungartz, H.-J., Mehl, M.: Space-Filling Curves. In: Encyclopedia of Parallel Computing. pp. 1862--1867. Springer, Berlin, Heidelberg, New York (2011). https://doi.org/10.1007/978-0-387-09766-4_145.
    4. Benk, J., Mehl, M., Ulbrich, M.: Sundance PDE Solvers on Cartesian Fixed Grids in Complex and Variable Geometries. In: Proceedinggs of the ECCOMAS Thematic Conference CFD & Optimization, Antlya, Turkey, May 23-25, 2011. Sonstige (2011).
    5. Gatzhammer, B., Mehl, M., Neckel, T.: Partitioned Fluid-Structure Interaction Coupling Methods for Black-Box Solvers. In: Behr, M., Lang, J., Rank, E., and Schäfer, M. (eds.) 2nd International Conference on Computational Engineering (ICCE 2011). pp. 76--77. typographics GmbH, Darmstadt (2011).

  14. 2010

    1. Bungartz, H.-J., Mehl, M., Neckel, T., Weinzierl, T.: The PDE framework Peano applied to fluid dynamics: an efficient implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grids. Computational Mechanics. 46, 103--114 (2010).
    2. Mehl, M., Neckel, T., Neumann, P.: Navier-Stokes and Lattice-Boltzmann on octree-like grids in the 3 Peano framework. Int. J. Numer. Meth. Fluids. 65, 67--86 (2010).
    3. Bungartz, H.-J., Benk, J., Gatzhammer, B., Mehl, M., Neckel, T.: Fluid-Structure Interaction -- Modelling, Simulation, Optimisation, Part II. In: Partitioned Simulation of Fluid-Structure Interaction on Cartesian Grids. pp. 255--284. Springer, Berlin, Heidelberg, (2010).
    4. Atanasov, A., Bungartz, H.-J., Frisch, J., Mehl, M., Mundani, R.-P., Rank, E., van Treek, C.: High Performance Computing in Science and Engineering, Garching 2009. In: Computational Steering of Complex Flow Simulations. Springer, Berlin, Heidelberg, (2010).
    5. Neckel, T., Mehl, M., Zenger, C.: Enhanced Divergence-Free Elements for Efficient Incompressible Flow Simulations in the PDE Framework Peano. In: Prooceedings of the Fifth European Conference on Computational Fluid Dynamics, ECCOMAS CFD 2010, 14th-17th June 2010, Lissabon. Sonstige, Lissabon (2010).
    6. Mehl, M., Gatzhammer, B., Neckel, T.: Partitioned Fluid-Structure Interaction Simulations Using a Hierarchical Cartesian Flow Solver. In: Prooceddings of the Fifth European Conference on Computational Fluid Dynamics, ECCOMAS CFD 2010, 14th-17th June 2010, Lissabon. Sonstige, Lissabon (2010).

  15. 2009

    1. Bungartz, H.-J., Mehl, M., Zenger, C.: 100 Volumes Notes on Numerical Fluid Mechanics and Multidisciplinary Design (NNFM) and 40 Years Numerical Fluid Mechanics. In: Computer Science and Fluid Mechanics -- An Essential Cooperation. pp. 437--450. Springer-Verlag, Berlin, Heidelberg, (2009).
    2. Gatzhammer, B., Mehl, M.: Fluid-Structure Interaction: Theory, Numerics, and Applications. In: FSI*ce -- A Modular Simulation Environment for Fluid-Structure Interactions. pp. 115--130. kassel university press, Kassel (2009).
    3. Bungartz, H.-J., Mehl, M., Neckel, T.: Steady-state Flow Simulations using Exact Jacobians on Cartesian Grids. In: Malan, A.G., Nithiarasu, P., and Oxtoby, O. (eds.) Proceedings of the 1st African Conference on Computational Mechanics (Africomp). Sonstige, Sun City, South Africa (2009).
    4. Gatzhammer, B., Mehl, M., Weinzierl, T.: A Coupling Tool for the Partitioned Simulation of Fluid-Structure Interactions. In: Kvamsdal, T., Pettersen, B., Bergan, P., Onate, E., and Garcia, J. (eds.) Computational Methods in Marine Engineering. pp. 147--150. CIMNE, Trondheim (2009).

  16. 2008

    1. Brenk, M., Bungartz, H.-J., Mehl, M., Muntean, I.L., Neckel, T., Weinzierl, T.: Numerical Simulation of Particle Transport in a Drift Ratchet. SIAM Journal of Scientific Computing. 30, 2777--2798 (2008).
    2. Brenk, M., Bungartz, H.-J., Mehl, M., Muntean, I.L., Neckel, T., Daubner, K.: An Eulerian Approach for Partitioned Fluid-structure Simulations on Cartesian Grids. Computational Mechanics. 43, 115--124 (2008).
    3. Bungartz, H.-J., Mehl, M., Weinzierl, T., Eckhardt, W.: ICCS 2008: Advancing Science through Computation, Part III. In: DaStGen - A Data Structure Generator for Parallel C++ HPC Software. pp. 213--222. Springer-Verlag, Berlin, Heidelberg, (2008).
    4. Mehl, M., Neckel, T., Weinzierl, T.: Domain Decomposition Methods in Science and Engineering XVII. In: Concepts for the Efficient Implementation of Domain Decomposition Approaches for Fluid-Structure Interactions. pp. 591--598. Springer, Berlin, Heidelberg, New York (2008).
    5. Neckel, T., Mehl, M., Bungartz, H.-J., Aoki, T.: CFD simulations using an AMR-like approach in the PDE framework Peano. In: CFD2008. Sonstige, Tokyo (2008).
    6. Zenger, C., Bader, M., Mehl, M.: Cache oblivious Memory Management for PDE-solvers. In: Banks, R.E. (ed.) Schnelle Löser für partielle Differentialgleichungen. Sonstige (2008).
    7. Mehl, M., Brenk, M., Muntean, I.L., Neckel, T., Weinzierl, T.: A Modular and Efficient Simulation Environment for Fluid-Structure Interactions with Large Domain Deformation. In: Papadrakakis, M. and Topping, B.H.V. (eds.) Proceedings of the Sixth International Conference on Engineering Computational Technology, Athens, September 2008. Civil-Comp Press, Kippen, Strirlingshire, United Kingdom (2008).

  17. 2007

    1. Mehl, M., Brenk, M., Muntean, I.L., Neckel, T., Weinzierl, T.: Benefits of Structured Cartesian Gris for the Simulation of Fluid-Structure Interactions. In: Yagawa, G., Iu, V.P., Kashiyama, K., Miyazaki, N., e Oliveira, E.A., Valliappan, S., Yabe, T., Yuan, M.W., and Yoshimura, S. (eds.) Proceedings of the Third Asian-Pacific Congress on Computational Mechanics, APCOM 07. Sonstige, Kyoto, Japan (2007).
    2. Brenk, M., Bungartz, H.-J., Mehl, M., Muntean, I.L., Neckel, T., Weinzierl, T.: A coupling environment for fluid-structure interactions on Cartesian grids. In: Bergan, P., Garcia, J., Onate, E., and Kvamsdal, T. (eds.) International Conference on Computational Methods in Marine Engineering. Sonstige, Barcelona (2007).

  18. 2006

    1. Günther, F., Mehl, M., Pögl, M., Zenger, C.: A cache-aware algorithm for PDEs on hierarchical data structures based on space-filling curves. SIAM Journal on Scientific Computing. 28, 1634--1650 (2006).
    2. Mehl, M., Weinzierl, T., Zenger, C.: A cache-oblivious self-adaptive full multigrid method. Numerical Linear Algebra with Applications. 13, 275--291 (2006).
    3. Bungartz, H.-J., Mehl, M., Weinzierl, T.: Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference. In: A Parallel Adaptive Cartesian PDE Solver Using Space--Filling Curves. pp. 1064--1074. Springer-Verlag, Berlin, Heidelberg, (2006).
    4. Günther, F., Mehl, M., Pögl, M., Zenger, C.: PARA 2004. In: A Cache-Aware Algorithm for PDEs on Hierarchical Data Structures. pp. 874--882. Springer, Berlin, Heidelberg, (2006).
    5. Mehl, M.: High Performance Computing and Communications. Second International Conference, HPCC 2006, Munich, Germany, September 13-15, 2006. Proceedings. In: Cache-Optimal Data-Structures for Hierarchical Methods on Adaptively Refined Space-Partitioning Grids. Springer, Berlin, Heidelberg, (2006).
    6. Brenk, M., Bungartz, H.-J., Mehl, M., Neckel, T.: Fluid-Structure Interaction - Modelling, Simulation, Optimisation. In: Fluid-Structure Interaction on Cartesian Grids: Flow Simulation and Coupling Environment. pp. 233--269. Springer-Verlag, Berlin, Heidelberg, (2006).
    7. Bungartz, H.-J., Mehl, M.: CARTESIAN DISCRETISATIONS FOR FLUID-STRUCTURE INTERACTION - EFFICIENT FLOW SOLVER. In: Proceedings ECCOMAS CFD 2006, European Conference on Computational Fluid Dynamics, Egmond an Zee, September 5th-8th 2006. Sonstige (2006).

  19. 2005

    1. Langlotz, M., Mehl, M., Weinzierl, T., Zenger, C.: High Performance Computing in Science and Engineering, Garching 2004. In: SkvG: Cache-Optimal Parallel Solution of PDEs on High Performance Computers Using Space-Trees and Space-Filling Curves. pp. 71--82. Springer-Verlag, Berlin, Heidelberg, New York (2005).
    2. Brenk, M., Bungartz, H.-J., Mehl, M., Mundani, R.-P., Düster, A., Scholz, D.: Efficient Interface Treatment for Fluid-Structure Interaction on Cartesian Grids. In: Proc. of the ECCOMAS Thematic Conf. on Comp. Methods for Coupled Problems in Science and Engineering. Sonstige (2005).
    3. Mehl, M., Zenger, C.: Cache-oblivious parallel multigrid solvers on adaptively refined grids. In: Hülsemann, F., Kowarschik, M., and Rüde, U. (eds.) Proceedings of the 18th Symposium Simulationstechnique (ASIM 2005). pp. 173--179. SCS European Publishing House, Erlangen (2005).

  20. 2004

    1. Günther, F., Krahnke, A., Langlotz, M., Mehl, M., Pögl, M., Zenger, C.: Recent Advances in Parallel Virtual Machine and Message Passing Interface. 11th European PVM/MPI Users Group Meeting Budapest, Hungary, September 19 - 22, 2004. Proceedings. In: On the Parallelization of a Cache-Optimal Iterative Solver for PDEs Based on Hierarchical Data Structures and Space-Filling Curves. pp. 425--429. Springer, Berlin, Heidelberg, (2004).

  21. 2003

    1. Bungartz, H.-J., Kuehn, M., Mehl, M., Wuertz, S.: Polymer and Cell Dynamics - Multiscale Modelling and Numerical Simulations. In: Space- and time-resolved simulations of processes in biofilm systems on a microscale. pp. 175--188. Birkhäuser, Basel (2003).
    2. Bungartz, H.-J., Mehl, M.: Biofilms in Wastewater Treatment: An Interdisciplinary Approach. In: Beyond models: Requirements and chances of computational biofilms. pp. 60--87. IWA Publishing (2003).

  22. 2001

    1. Kuehn, M., Mehl, M., Hausner, M., Bungartz, H.-J., Wuertz, S.: Time-resolved Study of Biofilm Architecture and Transport Processes Using Experimental and Simulation Techniques: The Role of EPS. Water Science & Technology. 43, 143--151 (2001).

  23. 2000

    1. Bungartz, H.-J., Kuehn, M., Mehl, M., Hausner, M., Wuertz, S.: Fluid flow and transport in defined biofilms: Experiments and numerical simulations on a microscale. Water Science & Technology. 41, 331--338 (2000).
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