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Technische Universität Dortmund
Fakultät für Mathematik — Lehrstuhl 3 für Angewandte Mathematik
Vogelpothsweg 87
44227 Dortmund
Tel.: +49-(0)231-755-3076
Fax: +49-(0)231-755-5933
E-mail:

JP Dr. Dominik Göddeke

Technische Universität Dortmund
Vogelpothsweg 87
44227 Dortmund
JP Dr. Dominik Göddeke
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Telefax(0231) 755-5933
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Curriculum Vitae

1999-2004 Studium Informatik und Mathematik, Universität Dortmund
Aug. 2004 Diplom in Informatik
2004-2010 Wiss. Ang. und Doktorand, Institut für Angewandte Mathematik und Numerik, Fakultät für Mathematik, TU Dortmund
Mai 2010 Promotion in Angewandter Mathematik
2010-2011 Wiss. Ang. und Postdoc, Institut für Angewandte Mathematik und Numerik, Fakultät für Mathematik, TU Dortmund
Aug. 2011 Berufung zum Juniorprofessor für das Fachgebiet ``Hardware-orientierte Numerik für große Systeme``, Fakultät für Mathematik, TU Dortmund

Tätigkeiten am Lehrstuhl

  • Lehrveranstaltungen in der Angewandten Mathematik und Numerik (Vorlesungen, Übungen, Studienprojekte, Seminare), insbesondere für die Studiengänge Technomathematik BSc und MSc
  • Betreuung von Seminar-, Bachelor- und Masterarbeiten sowie von Promotionen
  • Entwicklung und Erweiterung des HPC-FEM Pakets FEAST
  • Co-Organisator des LS3 Coffee Club
  • Forschung (Abends und am Wochenende)

Forschungsinteressen

  • Hardware-orientierte Numerik für PDEs
  • GPU Computing
  • Numerische Techniken für fein-, medium- und grobgranulare Parallelität
  • Parallele Mehrgittermethoden, Glättungs- und Vorkonditionierungstechniken
  • Finite Elemente Methoden

Veröffentlichungen

Autoren Titel / Veranstaltung / Jahr Download

Thesis
Göddeke, D. Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters, http://hdl.handle.net/2003/27243 ( http://www.logos-verlag.de/cgi-bin/buch?isbn=2768), 2010 [BibTeX]

Book Chapters
Göddeke, D.; Komatitsch, D.; Möller, M. Finite and Spectral Element Methods on Unstructured Grids for Flow and Wave Propagation Methods, Kindratenko, V., 183-206, Numerical Computations with GPUs, Springer, doi 10.1007/978-3-319-06548-9_9, 2014 [BibTeX]
Turek, S.; Göddeke, D.; Buijssen, S.; Wobker, H. Hardware-Oriented Multigrid Finite Element Solvers on (GPU)-Accelerated Clusters, Kurzak, J., Bader, D., Dongarra, J., chapter 6, 113-130, Scientific Computing with Multicore and Accelerators, CRC Press, doi: 10.1201/b10376-10, 2010 [BibTeX]
Göddeke, D.; Strzodka, R. Mixed Precision (GPU)-Multigrid Solvers with Strong Smoothers, Kurzak, J., Bader, D., Dongarra, J., chapter 7, 131-147, Scientific Computing with Multicore and Accelerators, CRC Press, doi 10.1201/b10376-11, 2010 [BibTeX]

Journals
Göddeke, D.; Komatitsch, D.; Geveler, M.; Ribbrock, D.; Rajovic, N.; Puzovic, N.; Ramirez, A. Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster, J. Comput. Phys., 237, 132-150, DOI 10.1016/j.jcp.2012.11.031, 2013 [BibTeX]
Geveler, M.; Ribbrock, D.; Göddeke, D.; Zajac, P.; Turek, S. Towards a complete FEM-based simulation toolkit on GPUS: Unstructured Grid Finite Element Geometric Multigrid solvers with strong smoothers based on Sparse Approximate Inverses, Comp. Fluids, 80, 327-332, doi: 10.1016/j.compfluid.2012.01.025, 2013 [BibTeX]
Geveler, M.; Ribbrock, D.; Mallach, S.; Göddeke, D.; Turek, S. 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, 2, 113-123, doi 10.1016/j.jocs.2011.01.008, 2011 [Abstract] [BibTeX]
Göddeke, D.; Strzodka, R. Cyclic Reduction Tridiagonal Solvers on GPUs Applied to Mixed Precision Multigrid, IEEE Transactions on Parallel and Distributed Systems, 22, 1, 22-32, doi: 10.1109/TPDS.2010.61, 2011 [Abstract] [BibTeX]
Komatitsch, D.; Erlebacher, G.; Göddeke, D.; Michea, D. High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster, J. Comput. Phys., 229, 7692-7714, DOI 10.1016/j.jcp.2010.06.024, 2010 [Abstract] [BibTeX]
Komatitsch, D.; Göddeke, D.; Erlebacher, G.; Michea, D. Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs, Computer Science - Research and Development, 25, 1--2, 75-82, Special Issue: Proceedings of ISC`10 / doi: 10.1007/s00450-010-0109-1, 2010 [Abstract] [BibTeX]
Turek, S.; Göddeke, D.; Becker, C.; Buijssen, S.; Wobker, H. FEAST -- Realisation of hardware-oriented Numerics for HPC simulations with Finite Elements, Concurrency and Computation: Practice and Experience, 6, 2247-2265, Special Issue Proceedings of ISC 2008. doi:10.1002/cpe.1584, 2010 [BibTeX]
van Dyk, D.; Geveler, M.; Mallach, S.; Ribbrock, D.; Göddeke, D.; Gutwenger, C. HONEI: A collection of libraries for numerical computations targeting multiple processor architectures, Computer Physics Communications, 180, 12, 2534-2543, DOI: 10.1016/j.cpc.2009.04.018, 2009 [Abstract] [BibTeX]
Göddeke, D.; Wobker, H.; Strzodka, R.; Mohd-Yusof, J.; McCormick, P.; Turek, S. Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU, International Journal of Computational Science and Engineering, 4, 4, 254-269, DOI: 10.1504/IJCSE.2009.029162, 2009 [Abstract] [BibTeX]
Göddeke, D.; Strzodka, R.; Mohd-Yusof, J.; McCormick, P.; Wobker, H.; Becker, C.; Turek, S. Using GPUs to improve multigrid solver performance on a cluster, International Journal of Computational Science and Engineering, 4, 1, 36-55, doi: 10.1504/IJCSE.2008.021111, 2008 [BibTeX]
Göddeke, D.; Strzodka, R.; Mohd-Yusof, J.; McCormick, P.; Buijssen, S.; Grajewski, M.; Turek, S. Exploring weak scalability for FEM calculations on a GPU-enhanced cluster, Parallel Computing, 33, 10--11, 685-699, doi: 10.1016/j.parco.2007.09.002, 2007 [Abstract] [BibTeX]
Göddeke, D.; Strzodka, R.; Turek, S. Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations, International Journal of Parallel, Emergent and Distributed Systems, 22, 4, 221-256, doi: 10.1080/17445760601122076, 2007 [Abstract] [BibTeX]

Conference Proceedings
Müthing, S.; Ribbrock, D.; Göddeke, D. Integrating multi-threading and accelerators into DUNE-ISTL, Abdulle, A., Deparis, S., Kressner, D., Nobile, F., Picasso, M., Lecture Notes in Computational Science and Engineering, 103, chapter 59, 601-609, Numerical Mathematics and Advanced Applications -- ENUMATH 2013, Springer, doi 10.1007/978-3-319-10705-9_59, 2015 [Abstract] [BibTeX]
Bastian, P.; Engwer, C.; Göddeke, D.; Iliev, O.; Ippisch, O.; Ohlberger, M.; Turek, S.; Fahlke, J.; Kaulmann, S.; Müthing, S.; Ribbrock, D. EXA-DUNE: Flexible PDE Solvers, Numerical Methods and Applications , Proceedings EuroPar 2014, Workshop on Software for Exascale Computing , Springer, August 2014, Porto, Portugal , 2014 [Abstract] [BibTeX]
Göddeke, D. Exascale techniques for Numerics for PDEs (Part II), Casanova, H., Robert, Y., Schwiegelshohn, U., Report from Dagstuhl Seminar 13381, 115, Algorithms and Scheduling Techniques for Exascale Systems, Dagstuhl Publishing, http://dx.doi.org/10.4230/DagRep.3.9.106, 2013 [BibTeX]
Geveler, M.; Ribbrock, D.; Göddeke, D.; Zajac, P.; Turek, S. Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers, 23rd International Conference on Parallel Computational Fluid Dynamics (ParCFD`11), Wiley-Interscience, 2011 [Abstract] [BibTeX]
Geveler, M.; Ribbrock, D.; Göddeke, D.; Zajac, P.; Turek, S. Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on GPUs, Ivànyi, P., Topping, B., 22, Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, Civil-Comp Press, Young Researcher Best Paper Award (doi: 10.4203/ccp.95.22), 2011 [BibTeX]
Ribbrock, D.; Geveler, M.; Göddeke, D.; Turek, S. Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures, Sloot, P., Dick van Albada, G., Dongarra, J., Procedia Computer Science, 1, 1, 239 - 247, International Conference on Computational Science (ICCS`10), Elsevier, doi: 10.1016/j.procs.2010.04.027, 2010 [BibTeX]
Geveler, M.; Ribbrock, D.; Göddeke, D.; Turek, S. Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors, Keller, R., Kramer, D., Weiß, J., Lecture Notes in Computer Science, 6310, 92-104, Facing the Multicore Challenge, Springer, 2010 [BibTeX]
Göddeke, D.; Buijssen, S.; Wobker, H.; Turek, S. GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes Solver, Smari, W., McIntire, J., 12-21, High Performance Computing & Simulation 2009, Logos Verlag, 2009 [BibTeX]
Buijssen, S.; Wobker, H.; Göddeke, D.; Turek, S. FEASTSolid and FEASTFlow: FEM applications exploiting FEAST`s HPC technologies, Nagel, W., Resch, M., Transactions of the High Performance Computing Center Stuttgart (HLRS) 2008, 425-440, High Performance Computing in Science and Engineering 2008, Springer, doi: 10.1007/978-3-540-88303-6_30, 2008 [Abstract] [BibTeX]
Turek, S.; Göddeke, D.; Becker, C.; Buijssen, S.; Wobker, H. UCHPC - UnConventional High Performance Computing for finite element simulations, Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 360, Fakultät für Mathematik, TU Dortmund, 360, 2008 [Abstract] [BibTeX] [PDF]
Göddeke, D.; Wobker, H.; Strzodka, R.; Mohd-Yusof, J.; McCormick, P.; Turek, S. Co-processor acceleration of an unmodified parallel structural mechanics code with FEAST-GPU , Supercomputing 2007 posters, 2007 [BibTeX] [PDF]
Göddeke, D.; Becker, C.; Turek, S. Integrating GPUs as fast co-processors into the parallel FE package FEAST, Becker, M., Szczerbicka, H., Frontiers in Simulation, 277-282, 19th Symposium Simulationstechnique, SCS Publishing House e.V., ISBN 3-936150-49-4, 2006 [Abstract] [BibTeX]
Strzodka, R.; Göddeke, D. Mixed Precision Methods for Convergent Iterative Schemes, D-59-60, Proceedings of the Workshop on Edge Computing Using New Commodity Architectures, UNC Chapel Hill, 2006 [BibTeX]
Strzodka, R.; Göddeke, D. Pipelined Mixed Precision Algorithms on FPGAs for Fast and Accurate PDE Solvers from Low Precision Components, 259-268, IEEE Proceedings on Field-Programmable Custom Computing Machines (FCCM 2006), IEEE Computer Society Press, doi: 10.1109/FCCM.2006.57, 2006 [Abstract] [BibTeX]
Göddeke, D.; Strzodka, R.; Turek, S. Accelerating double precision FEM simulations with GPUs, Hülsemann, F., Kowarschik, M., Rüde, U., Frontiers in Simulation, 139-144, 18th Symposium Simulationstechnique, SCS Publishing House e.V., ASIM 2005, 2005 [Abstract] [BibTeX]

Techreports
Müthing, S.; Ribbrock, D.; Göddeke, D. Integrating multi-threading and accelerators into DUNE-ISTL, Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 492, Fakultät für Mathematik, TU Dortmund, 492, 2014 [BibTeX] [PDF]
Borg, N.; Cebulla, M.; Christof, C.; Deska, M.; Greif, J.; Gutknecht, T.; Rörich, A.; Rörich, S.; Wahlers, S.; Westervoß, P. Abschlußbericht Studienprojekt Modellbildung und Simulation 2011-12 ``Lamésolver``, Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 454, Fakultät für Mathematik, TU Dortmund, 454, 2012 [BibTeX] [PDF]
Geveler, M.; Ribbrock, D.; Göddeke, D.; Zajac, P.; Turek, S. Towards a complete FEM-based simulation toolkit on GPUS: Unstructured Grid Finite Element Geometric Multigrid solvers with strong smoothers based on Sparse Approximate Inverses, Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 434, Fakultät für Mathematik, TU Dortmund, 434, 2011 [Abstract] [BibTeX] [PDF]
Köster, M.; Göddeke, D.; Wobker, H.; Turek, S. How to gain speedups of 1000 on single processors with fast FEM solvers - Benchmarking numerical and computational efficiency, Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 382, Fakultät für Mathematik, TU Dortmund, 382, 2008 [Abstract] [BibTeX] [PDF]
Göddeke, D.; Strzodka, R. Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations (Part 2: Double Precision GPUs), Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 370, Fakultät für Mathematik, TU Dortmund, 370, 2008 [Abstract] [BibTeX] [PDF]
Göddeke, D. GPGPU-Basic Math Tutorial, Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 300, Fakultät für Mathematik, TU Dortmund, 300, http://www.mathematik.uni-dortmund.de/~goeddeke/gpgpu/tutorial.html , 2005 [Abstract] [BibTeX] [PDF]
PG DeViSoR, . Endbericht der Projektgruppe DeViSoR, Ergebnisberichte des Instituts für Angewandte Mathematik Nummer 240T, Fakultät für Mathematik, TU Dortmund, 240T, 2003 [Abstract] [BibTeX] [PDF]
Becker, C.; Göddeke, D. DeViSoR Grid, 2002 [BibTeX]

Vorträge

Autoren Titel / Veranstaltung / Jahr Download
Göddeke, D.; Altenbernd, M.; Ribbrock, D. Resilient geometric finite-element multigrid algorithms using minimised checkpointing, Parallel Matrix Algorithms and Applications 2014, Juli 2014, Lugano, Switzerland [BibTeX] [PDF]
Göddeke, D.; Turek, S. Exascale techniques for Numerics for PDEs Part II, Dagstuhl Seminar 13381: Algorithms and Scheduling Techniques for Exascale Systems Schloss Dagstuhl, Germany September 15-20, 2013 , 2013 [Abstract] [BibTeX] [PDF]
Turek, S.; Göddeke, D. Exascale Techniques for Numerics for PDEs (Part I), Dagstuhl Seminar 13381: Algorithms and Scheduling Techniques for Exascale Systems Schloss Dagstuhl, Germany September 15-20, 2013, 2013 [Abstract] [BibTeX] [PDF]
Göddeke, D.; Strzodka, R. Scientific Computing with GPUs , Tutorial, 10th International Conference on Parallel Processing and Applied Mathematics (PPAM) , 8.-11. September 2013 Warschau, Polen , 2013, http://gpgpu.org/ppam2013 [BibTeX]
Engwer, C.; Göddeke, D. Bridging Software Design and Performance Tuning for Numerical Codes , ENUMATH 2013, Lausanne, Switzerland, Aug 2013 [BibTeX]
Göddeke, D. Energy efficiency aspects of high performance computing for PDEs , 25th Biennial Numerical Analysis Conference , Juni 2013, University of Strathclyde, Glasgow, UK [Abstract] [BibTeX] [PDF]
Göddeke, D. Energy effiency aspects of high performance computing for PDEs, High Performance Computing in Science and Engineering Hotel Solán, Czech Republic, Mai 2013 [BibTeX] [PDF]
Göddeke, D. Hardware-orientierte Numerik für PDEs , , 2013, FH Aachen-Jülich, Fachbereich Medizintechnik und Technomathematik, Jülich [BibTeX]
Göddeke, D. Hardware-oriented Numerics for PDEs, Software Problems for Challenging Computational Problems ACMAC, Heraklion, Greece, January 15 2013, Januar 2013 [BibTeX] [PDF]
Göddeke, D. Hardware-oriented Numerics for PDEs , Algoritmy 2012 , 2012, Podbanske, Slowakei 10.-14. September 2012 [BibTeX]
Göddeke, D. Hardware Oriented Numerics for PDEs, PDESoft 2012, Mai 2012 [BibTeX] [PDF]
Göddeke, D.; Komatitsch, D.; Erlebacher, G.; Michea, D. High-order Finite-Element Seismic Wave Propagation Modeling with MPI on a Large GPU Cluster, AGU Fall Meeting, IN17 High-Resolution Modeling in the Geosciences using GPUs and Many-Core Architectures San Francisco, USA, Dezember 2011 [Abstract] [BibTeX] [PDF]
Göddeke, D.; Strzodka, R. Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers and Applications in CFD and CSM , Enumath 2011, September 2011 [Abstract] [BibTeX] [PDF]
Turek, S.; Göddeke, D. Hardware-oriented Numerics for PDEs - Motivation, Concepts, Applications, Enumath 2011, September 2011 [BibTeX] [PDF]
Göddeke, D. Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers, Mini-Symposium: Parallel Computing in Numerical Linear Algebra Braunschweig, Aug 2011 [Abstract] [BibTeX] [PDF]
Göddeke, D. Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers and Applications in CFD and CSM, SIMTECH 2011 International Conference on Simulation Technology, Juni 2011 [BibTeX] [PDF]
Göddeke, D.; Strzodka, R. Finite Element Multigrid Solvers for PDE Problems on GPUs and GPU Clusters Part 2: Applications on GPU Clusters, INRIA Sophia Antipolis, France, Juni 2011 [Abstract] [BibTeX] [PDF]
Göddeke, D. GPUs in HPC - Introduction and Overview, 27. Nutzertreffen Compute Service, Mai 2011 [BibTeX] [PDF]
Göddeke, D. Fast and Accurate Finite Element Multigrid Solvers for PDE Simulations on GPU Clusters , Kolloquium über Angewandte Mathematik, April 2011, Universität Göttingen [BibTeX] [PDF]
Göddeke, D. Hardware-Oriented Finite Element Multigrid Solvers for PDEs , ASIM Workshop ``Trends in CSE``, März 2011, Garching [BibTeX] [PDF]
Göddeke, D.; Buijssen, S.; Wobker, H.; Turek, S. GPU Cluster Computing for FEM with Applications in CFD and CSM, ECCOMAS-CFD 2010, Lisbon, Portugal, Juni 2010 [BibTeX] [PDF]
Komatitsch, D.; Göddeke, D.; Erlebacher, G.; Michea, D. Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs, International Supercomputing Conference 2010 (ISC`10), Mai 2010 [Abstract] [BibTeX] [PDF]
Göddeke, D. Introduction to GPU Computing, , November 2009, Institut für Geophysik, Universität Münster [BibTeX]
Göddeke, D.; Buijssen, S.; Wobker, H.; Turek, S. GPU Cluster Computing for FEM, GPU Computing in Computational Science and Engineering International Workshop on Computational Engineering Special Topic Fluid-Structure Interaction, Oktober 2009, Herrsching [BibTeX] [PDF]
Strzodka, R.; Göddeke, D.; Behr, D. GPUs, OpenCL and Scientific Computing: Full-day tutorial, PPAM 2009, Wroclaw, Poland, September 2009, http://gpgpu.org/ppam2009 [BibTeX]
Göddeke, D.; Wobker, H.; Buijssen, S.; Turek, S. GPU Cluster Computing for Finite Element Applications, 38th SPEEDUP Workshop on High-Performance Computing, September 2009, EPF Lausanne, Switzerland, September 7, 2009 [Abstract] [BibTeX] [PDF]
Göddeke, D.; Strzodka, R.; Sigg, C. Tutorial on the practical use of GPUs: Full-day tutorial, SPEEDUP 2009, Lausanne, Switzerland, September 2009, http://www.speedup.ch/workshops/w38_2009/tutorial.html [BibTeX]
Göddeke, D.; Buijssen, S.; Wobker, H.; Turek, S. GPU Cluster Computing for Finite Element Applications, SIAM Conference on Computational Science and Engineering (SIAM CSE09), März 2009, Emerging Manycore Architectures Minisymposium, Miami, Florida [BibTeX] [PDF]
Göddeke, D.; Turek, S. GPU Cluster Computing for Finite Element Applications, Workshop: Experiences with the GPU and the Cell Processor, Delft, Januar 2009 [BibTeX] [PDF]
Göddeke, D.; Strzodka, R. Mixed Precision Methods on GPUs, NVISION 2008, Aug 2008, The World of Visual Computing, San Jose [BibTeX]
Göddeke, D. GPU integration in existing large scale MPI applications , ARCS 2008 – Architecture of Computing Systems GPGPU and CUDA Tutorials, Februar 2008 [Abstract] [BibTeX] [PDF]
Göddeke, D. Languages and programming environments for GPU computing , ARCS 2008 – Architecture of Computing Systems GPGPU and CUDA Tutorials, Februar 2008 [Abstract] [BibTeX] [PDF]
Göddeke, D. Finite Element computations on GPU clusters, Computer Science, September 2007, University of Erlangen [BibTeX]
Göddeke, D. Minimally Invasive Integration of GPUs to Improve Multigrid Solver Performance on a Cluster, Workshop on Software Issues in Computational Science and Engineering, Aug 2007, Uppsala [Abstract] [BibTeX] [PDF]
Göddeke, D.; Strzodka, R. Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations, Supercomputing 2006, November 2006, http://www.gpgpu.org/sc2006/workshop/ [BibTeX] [PDF]
Göddeke, D. GPUs as fast co-processors for scientific computing, Theoretical Physics, Juni 2006, University of Wuppertal [BibTeX]
Göddeke, D. Integrating GPUs as fast co-processors into the existing parallel FE package FEAST, ASIM 2006, September 2006 [BibTeX] [PDF]
Göddeke, D.; Strzodka, R. General Purpose Computation on Graphics Hardware (GPGPU): Half-day tutorial, ICCS 2006: International Conference on Computational Science, Mai 2006, Reading, U.K. [BibTeX]
Turek, S.; Göddeke, D. High Performance Computing for PDE - Some numerical aspects of Petascale Computing, Dagstuhl, Februar 2006 [Abstract] [BibTeX] [PDF]
Göddeke, D.; Strzodka, R.; Turek, S. Accelerating Double Precision FEM Simulations with GPUs, ASIM 2005 – 18th Symposium on Simulation Technique Workshop Parallel Computing and Graphics Processors, September 2005, Erlangen, Germany, September 12th-15th 2005 [BibTeX] [PDF]
Göddeke, D. Introduction to data-stream based computations on graphics hardware, ASIM 2005 – 18th Symposium on Simulation Technique Workshop Parallel Computing and Graphics Processors, September 2005, Erlangen, Germany, September 12th-15th 2005 [BibTeX] [PDF]
Göddeke, D. The GPU as a FEM-coprocessor: Algorithmic design goals, Workshop: Supercomputers on a chip GPUs as Mathematical Coprocessors in Finite-Element-Simulations, April 2005 [Abstract] [BibTeX] [PDF]