Contact
+49 711 685 62022
+4971168552022
Email
Allmandring 5b
70569 Stuttgart
Deutschland
Room: 0.40
Office Hours
by appointment
Subject
Main interests: numerics of partial differential equations, high performance computing, computational science and engineering, hardware-oriented numerics
Especially: finite-element multigrid domain decomposition methods, parallelisation, GPU computing, cluster computing and big machines, efficient data structures and implementation techniques, continuum mechanics
Current focus: fault tolerance, communication-avoiding and asynchrony, software frameworks, green computing, computational geophysics, imaging
2022
- E. Agullo et al., “Resiliency in numerical algorithm design for extreme scale simulations,” The International Journal of High Performance ComputingApplications, vol. 36, no. 2, Art. no. 2, 2022, doi: 10.1177/10943420211055188.
- M. Zinßer et al., “Irradiation-dependent topology optimization of metallization grid patterns and variation of contact layer thickness used for latitude-based yield gain of thin-film solar modules,” MRS Advances, Aug. 2022, doi: 10.1557/s43580-022-00321-3.
2021
- M. Altenbernd, N.-A. Dreier, C. Engwer, and D. Göddeke, “Towards Local-Failure Local-Recovery in PDE Frameworks: The Case of Linear Solvers,” in High Performance Computing in Science and Engineering -- HPCSE 2019, Jan. 2021, vol. 12456, pp. 17--38. doi: 10.1007/978-3-030-67077-1_2.
- T. Benacchio et al., “Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction,” The International Journal of High Performance Computing Applications, vol. 35, no. 4, Art. no. 4, Feb. 2021, doi: 10.1177/1094342021990433.
- A. Krämer et al., “Multi-physics multi-scale HPC simulations of skeletal muscles,” High Performance Computing in Science and Engineering ’20: Transactions of the High Performance Computing Center, Stuttgart(HLRS) 2020, 2021, doi: 10.1007/978-3-030-80602-6_13.
- J. Kühnert, D. Göddeke, and M. Herschel, “Provenance-integrated parameter selection and optimization in numerical simulations,” Jul. 2021. [Online]. Available: https://www.usenix.org/conference/tapp2021/presentation/kühnert
- M. Osorno, M. Schirwon, N. Kijanski, R. Sivanesapillai, H. Steeb, and D. Göddeke, “A cross-platform, high-performance SPH toolkit for image-based flow simulations on the pore scale of porous media,” Computer Physics Communications, vol. 267, no. 108059, Art. no. 108059, Oct. 2021, doi: 10.1016/j.cpc.2021.108059.
- A. Rörich, T. A. Werthmann, D. Göddeke, and L. Grasedyck, “Bayesian inversion for electromyography using low-rank tensor formats,” Inverse Problems, vol. 37, no. 5, Art. no. 5, Mar. 2021, doi: 10.1088/1361-6420/abd85a.
- J. Schmalfuss, C. Riethmüller, M. Altenbernd, K. Weishaupt, and D. Göddeke, “Partitioned coupling vs. monolithic block-preconditioning approaches for solving Stokes-Darcy systems,” 2021. doi: 10.23967/coupled.2021.043.
2020
- P. Bastian et al., “Exa-Dune - Flexible PDE Solvers, Numerical Methods and Applications,” in Software for Exascale Computing -- SPPEXA 2016--2019, H.-J. Bungartz, S. Reiz, B. Uekermann, P. Neumann, and W. E. Nagel, Eds. Springer, 2020, pp. 225--269. doi: 10.1007/978-3-030-47956-5_9.
- M. Brehler, M. Schirwon, P. M. Krummrich, and D. Göddeke, “Simulation of Nonlinear Signal Propagation in Multimode Fibers on Multi-GPU Systems,” Communications in Nonlinear Science and Numerical Simulation, vol. 84, p. 105150, May 2020, doi: 10.1016/j.cnsns.2019.105150.
- D. Göddeke, M. Schirwon, and N. Borg, “Smartphone-Apps im Mathematikstudium,” 2020, doi: 10.18419/darus-1147.
- R. Tielen, M. Möller, D. Göddeke, and C. Vuik, “p-multigrid methods and their comparison to h-multigrid methods in Isogeometric Analysis,” Computer Methods in Applied Mechanics and Engineering, vol. 372, p. 113347, Dec. 2020, doi: 10.1016/j.cma.2020.113347.
2018
- M. Altenbernd and D. Göddeke, “Soft fault detection and correction for multigrid,” The International Journal of High Performance Computing Applications, vol. 32, no. 6, Art. no. 6, Nov. 2018, doi: 10.1177/1094342016684006.
- C. P. Bradley et al., “Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems,” Frontiers in Physiology, vol. 9, no. 816, Art. no. 816, Jul. 2018, doi: 10.3389/fphys.2018.00816.
- M. Brehler, M. Schirwon, D. Göddeke, and P. Krummrich, “Modeling the Kerr-Nonlinearity in Mode-Division Multiplexing Fiber Transmission Systems on GPUs,” Jul. 2018.
- C. Engwer, M. Altenbernd, N.-A. Dreier, and D. Göddeke, “A high-level C++ approach to manage local errors, asynchrony and faults in an MPI application,” Mar. 2018.
2017
- M. Brehler, M. Schirwon, D. Göddeke, and P. M. Krummrich, “A GPU-Accelerated Fourth-Order Runge-Kutta in the Interaction Picture Method for the Simulation of Nonlinear Signal Propagation in Multimode Fibers,” Journal of Lightwave Technology, vol. 35, no. 17, Art. no. 17, Sep. 2017, doi: 10.1109/JLT.2017.2715358.
2016
- P. Bastian et al., “Advances Concerning Multiscale Methods and Uncertainty Quantification in EXA-DUNE,” in Software for Exascale Computing -- SPPEXA 2013--2015, H.-J. Bungartz, P. Neumann, and W. E. Nagel, Eds. Springer, 2016, pp. 25--43. doi: 10.1007/978-3-319-40528-5_2.
- P. Bastian et al., “Hardware-Based Efficiency Advances in the EXA-DUNE Project,” in Software for Exascale Computing -- SPPEXA 2013--2015, H.-J. Bungartz, P. Neumann, and W. E. Nagel, Eds. Springer, 2016, pp. 3--23. doi: 10.1007/978-3-319-40528-5_1.
- M. Geveler, B. Reuter, V. Aizinger, D. Göddeke, and S. Turek, “Energy efficiency of the simulation of three-dimensional coastal ocean circulation on modern commodity and mobile processors -- A case study based on the Haswell and Cortex-A15 microarchitectures,” Computer Science -- Research and Development, vol. 31, no. 4, Art. no. 4, Aug. 2016, doi: 10.1007/s00450-016-0324-5.
2015
- D. Göddeke, M. Altenbernd, and D. Ribbrock, “Fault-tolerant finite-element multigrid algorithms with hierarchically compressed asynchronous checkpointing,” Parallel Computing, vol. 49, pp. 117–135, 2015, doi: 10.1016/j.parco.2015.07.003.
- S. Müthing, D. Ribbrock, and D. Göddeke, “Integrating multi-threading and accelerators into DUNE-ISTL,” in Numerical Mathematics and Advanced Applications -- ENUMATH 2013, vol. 103, A. Abdulle, S. Deparis, D. Kressner, F. Nobile, and M. Picasso, Eds. Springer, 2015, pp. 601--609. doi: 10.1007/978-3-319-10705-9_59.
2014
- P. Bastian et al., “EXA-DUNE: Flexible PDE Solvers, Numerical Methods and Applications,” in Euro-Par 2014: Parallel Processing Workshops, vol. 8806, L. Lopes, J. Zilinskas, A. Costan, RobertoG. Cascella, G. Kecskemeti, E. Jeannot, M. Cannataro, L. Ricci, S. Benkner, S. Petit, V. Scarano, J. Gracia, S. Hunold, StephenL. Scott, S. Lankes, C. Lengauer, J. Carretero, J. Breitbart, and M. Alexander, Eds. Springer, 2014, pp. 530--541. doi: 10.1007/978-3-319-14313-2_45.
- D. Göddeke, D. Komatitsch, and M. Möller, “Finite and Spectral Element Methods on Unstructured Grids for Flow and Wave Propagation Methods,” in Numerical Computations with GPUs, V. Kindratenko, Ed. Springer, 2014, pp. 183--206. doi: 10.1007/978-3-319-06548-9_9.
- S. Müthing, P. Bastian, D. Göddeke, and D. Ribbrock, “Node-level performance engineering for an advanced density driven porous media flow solver,” in 3rd Workshop on Computational Engineering 2014, Stuttgart, Germany, Oct. 2014, pp. 109--113.
2013
- M. Geveler, D. Ribbrock, D. Göddeke, P. Zajac, and S. Turek, “Towards a complete FEM-based simulation toolkit on GPUs: Unstructured Grid Finite Element Geometric Multigrid solvers with strong smoothers based on Sparse Approximate Inverses,” Computers & Fluids, vol. 80, pp. 327--332, Jul. 2013, doi: 10.1016/j.compfluid.2012.01.025.
- D. Göddeke et al., “Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster,” Journal of Computational Physics, vol. 237, pp. 132--150, Mar. 2013, doi: 10.1016/j.jcp.2012.11.031.
- S. Turek and D. Göddeke, “Hardware-oriented Numerics for PDE,” in Encyclopedia of Applied and Computational Mathematics, B. Engquist, T. Chan, W. J. Cook, E. Hairer, J. Hastad, A. Iserles, H. P. Langtangen, C. Le Bris, P. L. Lions, C. Lubich, A. J. Majda, J. R. McLaughlin, R. M. Nieminen, J. T. Oden, P. Souganidis, and A. Tveito, Eds. Springer, 2013.
2011
- M. Geveler, D. Ribbrock, D. Göddeke, P. Zajac, and S. Turek, “Towards a complete FEM-based simulation toolkit on GPUs: Geometric multigrid solvers,” May 2011.
- M. Geveler, D. Ribbrock, S. Mallach, D. Göddeke, and S. Turek, “A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on modern Multi- and Many-Core Architectures,” Journal of Computational Science, vol. 2, pp. 113--123, Jan. 2011, doi: 10.1016/j.jocs.2011.01.008.
- M. Geveler, D. Ribbrock, D. Göddeke, P. Zajac, and S. Turek, “Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on GPUs,” in Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, Apr. 2011. doi: 10.4203/ccp.95.22.
- D. Göddeke and R. Strzodka, “Cyclic Reduction Tridiagonal Solvers on GPUs Applied to Mixed Precision Multigrid,” IEEE Transactions on Parallel and Distributed Systems, vol. 22, no. 1, Art. no. 1, Jan. 2011, doi: 10.1109/TPDS.2010.61.
2010
- M. Geveler, D. Ribbrock, D. Göddeke, and S. Turek, “Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors,” in Facing the Multicore Challenge, vol. 6310, R. Keller, D. Kramer, and J.-P. Weiß, Eds. Springer, 2010, pp. 92--104. doi: 10.1007/978-3-642-16233-6_11.
- D. Göddeke and R. Strzodka, “Mixed Precision GPU-Multigrid Solvers with Strong Smoothers,” in Scientific Computing with Multicore and Accelerators, J. Kurzak, D. A. Bader, and J. J. Dongarra, Eds. CRC Press, 2010, pp. 131--147. doi: 10.1201/b10376-11.
- D. Göddeke, “Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters,” Technische Universität Dortmund, Fakultät für Mathematik, 2010. [Online]. Available: http://hdl.handle.net/2003/27243
- D. Komatitsch, Michéa, G. Erlebacher, and D. Göddeke, “Running 3D finite-difference or spectral-element wave propagation codes 25x to 50x faster using a GPU cluster,” in 72nd European Association of Geoscientists and Engineers Conference and Exhibition (EAGE’2010), Jun. 2010, vol. 4, pp. 2920--2924.
- D. Komatitsch, G. Erlebacher, D. Göddeke, and D. Michéa, “High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster,” Journal of Computational Physics, vol. 229, pp. 7692--7714, Oct. 2010, doi: 10.1016/j.jcp.2010.06.024.
- D. Komatitsch, D. Göddeke, G. Erlebacher, and D. Michéa, “Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs,” Computer Science -- Research and Development, vol. 25, no. 1--2, Art. no. 1--2, May 2010, doi: 10.1007/s00450-010-0109-1.
- D. Ribbrock, M. Geveler, D. Göddeke, and S. Turek, “Performance and Accuracy of Lattice-Boltzmann Kernels on Multi- and Manycore Architectures,” in International Conference on Computational Science (ICCS’10), 2010, vol. 1, pp. 239--247. doi: 10.1016/j.procs.2010.04.027.
- S. Turek, D. Göddeke, S. H. M. Buijssen, and H. Wobker, “Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters,” in Scientific Computing with Multicore and Accelerators, J. Kurzak, D. A. Bader, and J. J. Dongarra, Eds. CRC Press, 2010, pp. 113--130. doi: 10.1201/b10376-10.
- S. Turek, D. Göddeke, C. Becker, S. H. M. Buijssen, and H. Wobker, “FEAST -- Realisation of hardware-oriented Numerics for HPC simulations with Finite Elements,” Concurrency and Computation: Practice and Experience, vol. 22, no. 6, Art. no. 6, Nov. 2010, doi: 10.1002/cpe.1584.
2009
- D. Göddeke, S. H. M. Buijssen, H. Wobker, and S. Turek, “GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes Solver,” in High Performance Computing & Simulation 2009, Jun. 2009, pp. 12--21. doi: 10.1109/HPCSIM.2009.5191718.
- D. Göddeke, H. Wobker, R. Strzodka, J. Mohd-Yusof, P. S. McCormick, and S. Turek, “Co-Processor Acceleration of an Unmodified Parallel Solid Mechanics Code with FEASTGPU,” International Journal of Computational Science and Engineering, vol. 4, no. 4, Art. no. 4, Oct. 2009, doi: 10.1504/IJCSE.2009.029162.
- D. van Dyk, M. Geveler, S. Mallach, D. Ribbrock, D. Göddeke, and C. Gutwenger, “HONEI: A collection of libraries for numerical computations targeting multiple processor architectures,” Computer Physics Communications, vol. 180, no. 12, Art. no. 12, Dec. 2009, doi: 10.1016/j.cpc.2009.04.018.
2008
- S. H. M. Buijssen, H. Wobker, D. Göddeke, and S. Turek, “FEASTSolid and FEASTFlow: FEM Applications Exploiting FEAST’s HPC Technologies,” in High Performance Computing in Science and Engineering ’08, vol. 2008, W. Nagel, D. Kröner, and M. Resch, Eds. Springer, 2008, pp. 425--440. doi: 10.1007/978-3-540-88303-6_30.
- D. Göddeke et al., “Using GPUs to Improve Multigrid Solver Performance on a Cluster,” International Journal of Computational Science and Engineering, vol. 4, no. 1, Art. no. 1, Nov. 2008, doi: 10.1504/IJCSE.2008.021111.
- D. Göddeke and R. Strzodka, “Performance and accuracy of hardware-oriented native, emulated- and mixed-precision solvers in FEM simulations (Part 2: Double Precision GPUs),” Fakultät für Mathematik, Technische Universität Dortmund, Aug. 2008.
- M. Köster, D. Göddeke, H. Wobker, and S. Turek, “How to gain speedups of 1000 on single processors with fast FEM solvers ---- Benchmarking numerical and computational efficiency,” Fakultät für Mathematik, TU Dortmund, Oct. 2008.
- S. Turek, D. Göddeke, C. Becker, S. H. M. Buijssen, and H. Wobker, “UCHPC -- Unconventional High-Performance Computing for Finite Element Simulations,” Jun. 2008.
2007
- D. Göddeke et al., “Exploring weak scalability for FEM calculations on a GPU-enhanced cluster,” Parallel Computing, vol. 33, no. 10--11, Art. no. 10--11, Sep. 2007, doi: 10.1016/j.parco.2007.09.002.
- D. Göddeke, H. Wobker, R. Strzodka, J. Mohd-Yusof, P. S. McCormick, and S. Turek, “Co-processor acceleration of an unmodified parallel structural mechanics code with FEAST-GPU.” Nov. 2007.
- D. Göddeke, R. Strzodka, and S. Turek, “Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations,” International Journal of Parallel, Emergent and Distributed Systems, vol. 22, no. 4, Art. no. 4, Jan. 2007, doi: 10.1080/17445760601122076.
2006
- D. Göddeke, C. Becker, and S. Turek, “Integrating GPUs as fast co-processors into the parallel FE package FEAST,” in 19th Symposium Simulationstechnique (ASIM’06), Sep. 2006, pp. 277--282.
- R. Strzodka and D. Göddeke, “Pipelined Mixed Precision Algorithms on FPGAs for Fast and Accurate PDE Solvers from Low Precision Components,” in Proceedings of the 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM’06), Apr. 2006, pp. 259--270. doi: 10.1109/FCCM.2006.57.
- R. Strzodka and D. Göddeke, “Mixed Precision Methods for Convergent Iterative Schemes,” in Proceedings of the Workshop on Edge Computing Using New Commodity Architectures, May 2006, p. D-59--60.
2005
- D. Göddeke, R. Strzodka, and S. Turek, “Accelerating Double Precision FEM Simulations with GPUs,” in 18th Symposium Simulationstechnique (ASIM’05), Sep. 2005, pp. 139--144.
- D. Göddeke, “GPGPU--Basic Math Tutorial,” Fachbereich Mathematik, Universität Dortmund, Nov. 2005.
since 1/2019 | Pl, Cluster of Excellence "Data-Integrated Simulation Science" (Exc 2075) | |
since 1/2016 | Fellow, Stuttgart Centre for Simulation Sciences, and Director, Institute of Applied Analysis and Numerical Simulation | |
since 2/2015 | Full professor (W3 m.L.), Chair Computational Mathematics for Complex Simulations in Science and Engineering, Institute of Applied Analysis and Numerical Simulation, University of Stuttgart | |
8/2011–1/2015 | Juniorprofessor for „Hardware-oriented Numerics for Large Systems“ at the Chair for Applied Mathematics and Numerics (LS3), Department of Mathematics, TU Dortmund Technical University | |
9/2014 | Positive intermediate evaluation of the Junior Professorship, formally equivalent to Habilitation in Mathematics | |
10/2004–08/2011 | Research assistant at the above Chair | |
May 10, 2010 | Graduation: Dr. rer. nat. (with highest honours) Dissertation title: Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters (Supervisors: S. Turek, H. Müller) |
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10/2004–05/2010 | Doctoral studies, Department of Mathematics, TU Dortmund | |
August 31, 2004 | Graduation: Diploma in Computer Science (with honours) Dissertation title: Geometric Projection Methods on Surface Triangulations for Numerical Flow Simulation with Hierarchical Multigrid Methods (Supervisors: S. Turek, H. Müller) |
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10/1999–08/2004 | Studies of Computer Science (major) and Mathematics (minor), Dortmund University, Pre-Diploma in Computer Science (9/2001) and Mathematics (4/2002) |
2020 | Digital Teaching Award by the students of the Department of Mathematics, University of Stuttgart |
2019 | Award for extraordinary engagement as a lecturer by the student body STUVUS. |
2018 | Best lecture award for the best intermediate level (Stochastik und angewandte Mahematik für LA) lecture in 2017/2018, awarded by the students of the Department of Mathematics, University of Stuttgart. |
2016 | Best lecture awards for the best entry-level (Numerical Linear Algebra) and the best intermediate level (Numerics for ODEs) lectures in 2016, awarded by the students of the Department of Mathematics, University of Stuttgart. |
2011 | Rudolf Chaudoire Award, jointly awarded by TU Dortmund and the Chaudoire Society to honour excellent junior researchers. The award includes 5.000€ financial support for a longer research visit abroad. |
2011 | Young Researcher Best Paper Award of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, jointly awarded with M. Geveler, D. Ribbrock, P. Zajac and S. Turek (all TU Dortmund) for our submission Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on Graphics Processing Units (500€ cash prize). |
2010 | Dissertation Award for the best doctoral dissertation of the Department of Mathematics, TU Dortmund. |
2009 | SIAM Travel Award for the SIAM Conference on Computational Science and Engineering (stipend of 500$). |
2008 | PRACE Award of the Partnership for Advanced Computing in Europe, together with S. Turek, Ch. Becker, S.H.M. Buijssen and H. Wobker (all TU Dortmund) for our contribution UCHPC – UnConventional High Performance Computing for Finite Element Simulations. This award has been granted for the first time in 2008 and honours young European researchers in HPC (stipend to attend a thematic conference). |
2002–2004 | Studienstiftung des Deutschen Volkes |
Please visit our Research site for further information.