DMQ Gruppe
Data Mining and Uncertainty Quantification

Publikationen

2020

  • Sotirios Nikas, Chen Song, Vincent Heuveline, Lorenz Braun (2020). A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels 1108

2019

2018

  • Thomas van de Kamp, Achim H. Schwermann, Tomy dos Santos Rolo, Philipp D. Lösel, Thomas Engler, Walter Etter, Tomáš Faragó, Jörg Göttlicher, Vincent Heuveline, Andreas Kopmann, Bastian Mähler, Thomas Mörs, Janes Odar, Jes Rust, Nicholas Tan Jerome, Matthias Vogelgesang, Tilo Baumbach, Lars Krogmann (2018). Parasitoid biology preserved in mineralized fossils, Nat Commun 9(1) 353
  • Wolfgang Mexner, Matthias Bonn, Andreas Kopmann, Viktor Mauch, Doris Ressmann, Suren A. Chilingaryan, Nicholas Tan Jerome, Thomas Van De Kamp, Vincent Heuveline, Philipp Lösel, et al. (2018). OpenGL® API-Based Analysis of Large Datasets in a Cloud Environment, Design and Use of Virtualization Technology in Cloud Computing,pp.161-181,IGI Global 242
  • Torsten Seelig, Antoine Meyer, Philipp Gerstner, Martin Meier, Marcel Jongmanns, Martin Baumann, Vincent Heuveline, Christoph Egbers (2018). Dielectrophoretic force-driven convection in annular geometry under Earth’s gravity, arXiv preprint arXiv:1812.05460 348
  • Wolfgang Mexner, Matthias Bonn, Andreas Kopmann, Viktor Mauch, Doris Ressmann, Suren A Chilingaryan, Nicholas Tan Jerome, Thomas van de Kamp, Vincent Heuveline, Philipp Lösel (2018). OpenGL@API-Based Analysis of Large Datasets in a Cloud Environment, In Design and Use of Virtualization Technology in Cloud Computing, pp. 161–181, IGI Global 349
  • Simon Gawlok, Vincent Heuveline (2018). Nested Schur-Complement Solver for a Low-Mach Number Model: Application to a Cyclone-Cyclone Interaction, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(02) 350
  • David John, Michael Schick, Vincent Heuveline (2018). Learning model discrepancy of an electric motor with Bayesian inference, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(01) 351
  • David John, Michael Schick, Vincent Heuveline (2018). Bayesian inference for estimating model discrepancy of an electric motor, PAMM, 18(1):1–2 352

2017

  • Sebastian Schmelzle, Thomas van de Kamp, Michael Heethoff, Vincent Heuveline, Philipp Lösel, Jürgen Becker, Felix Beckmann, Frank Schluenzen, Jörg U. Hammel, Andreas Kopmann, Wolfgang Mexner, Matthias Vogelgesang, Nicholas T. Jerome, Oliver Betz, Rolf Beutel, Benjamin Wipfler, Alexander Blanke, Steffen Harzsch, Marie Hörnig, Tilo Baumbach (2017). The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data, Developments in X-Ray Tomography XI,p.24,SPIE 253
  • Martin Baumann, Maria Effinger, Dirk Eller, Vincent Heuveline, Christian Kempf, Lukas Loos, Leonhard Maylein, Jörg Peltzer, Michelle Pfeiffer, Veit Probst, others (2017). heiMAP: Virtueller Kartentisch, E-Science-Tage 2017: Forschungsdaten managen 231
  • Martin Baumann, Fabian Gehbart, Oliver Mattes, Sotirios Nikas, Vincent Heuveline (2017). Development and implementation of a temperature monitoring system for HPC systems, Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware (PARS),Gesellschaft für Informatik e.V.,2017 232
  • Valentin Bertsch, Wolf Fichtner, Vincent Heuveline, Thomas Leibfried (2017). Advances in Energy System Optimization: Proceedings of the first International Symposium on Energy System Optimization, Springer International Publishing 233
  • Lena Maier-Hein, S. Swaroop Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, Gregory D. Hager, Pierre Jannin (2017). Surgical Data Science: Enabling Next-Generation Surgery, arXiv, vol. abs/1701.06482 234
  • Thomas Loderer, Vincent Heuveline (2017). New sparsing approach for real-time simulations of stiff models on electronic control units, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(02) 235
  • Nicolai Schoch, Vincent Heuveline (2017). Towards an Intelligent Framework for Personalized Simulation-enhanced Surgery Assistance: Linking a Simulation Ontology to a Reinforcement Learning Algorithm for Calibration of Numerical Simulations, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(05) 236
  • Simon Gawlok, Philipp Gerstner, Saskia Haupt, Vincent Heuveline, Jonas Kratzke, Philipp Lösel, Katrin Mang, Mareike Schmidtobreick, Nicolai Schoch, Nils Schween, Jonathan Schwegler, Chen Song, Martin Wlotzka (2017). HiFlow3 – Technical Report on Release 2.0, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(06) 237
  • Vincent Heuveline, Michael Schick, Clayton Webster, Peter Zaspel (2017). Uncertainty Quantification and High Performance Computing (Dagstuhl Seminar 16372), In Dagstuhl Reports Number 9, vol. 6 238
  • S Klatt, D Kraus, P Kraft, L Breuer, M Wlotzka, V Heuveline, E Haas, R Kiese, Klaus Butterbach-Bahl (2017). Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach, Environmental Modelling & Software, 90:55–67 239
  • Philipp Lösel, Vincent Heuveline (2017). A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation, Reconstruction, Segmentation, and Analysis of Medical Images 10129:121-128,Springer International Publishing 240
  • Nico Meyer-Hübner, Michael Suriyah, Thomas Leibfried, Viktor Slednev, Valentin Bertsch, Wolf Fichtner, Philipp Gerstner, Michael Schick, Vincent Heuveline (2017). Optimal Storage Operation with Model Predictive Control in the German Transmission Grid, Advances in Energy System Optimization,pp.31-45,Springer International Publishing 241
  • N. Schoch, S. Engelhardt, R. De Simone, I. Wolf, V. Heuveline (2017). High Performance Computing for Cognition-Guided Cardiac Surgery: Soft Tissue Simulation for Mitral Valve Reconstruction in Knowledge-based Surgery Assistance, Modeling, Simulation and Optimization of Complex Processes HPSC 2015,pp.205-221,Springer International Publishing 243
  • Nicolai Schoch, Vincent Heuveline (2017). Towards Cognition-Guided Patient-Specific FEM-based Cardiac Surgery Simulation, Functional Imaging and Modelling of the Heart 10263:115-126,Springer International Publishing 244
  • Viktor Slednev, Manuel Ruppert, Valentin Bertsch, Wolf Fichtner, Nico Meyer-Hübner, Michael Suriyah, Thomas Leibfried, Philipp Gerstner, Michael Schick, Vincent Heuveline (2017). Regionalizing Input Data for Generation and Transmission Expansion Planning Models, Advances in Energy System Optimization,pp.205-217,Springer International Publishing 245
  • Chen Song, Markus Stoll, Kristina Giske, Rolf Bendl, Vincent Heuveline (2017). Sparse Grids for quantifying motion uncertainties in biomechanical models of radiotherapy patients, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(01) 246
  • Chen Song, Vincent Heuveline (2017). Multilevel preconditioner of Polynomial Chaos Method for quantifying uncertainties in a blood pump, In International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Greece, 2017, Scopus, Elsevier 247
  • Martin Wlotzka, Vincent Heuveline (2017). Energy-efficient multigrid smoothers and grid transfer operators on multi-core and GPU clusters, Journal of Parallel and Distributed Computing, 100:181–192 248
  • Martin Wlotzka, Vincent Heuveline, Manuel F Dolz, M Reza Heidari, Thomas Ludwig, A Cristiano I Malossi, Enrique S Quintana-Orti (2017). Energy-Aware High Performance Computing, In ICT-Energy Concepts for Energy Efficiency and Sustainability, InTech 249
  • M. Wlotzka, V. Heuveline, S. Klatt, D. Kraus, E. Haas, R. Kiese, K. Butterbach-Bahl, P. Kraft, L. Breuer (2017). Parallel multiphysics simulations using OpenPALM with application to hydrology-biogeochemistry coupling, In Modeling, Simulation and Optimization of Complex Processes – HPSC 2015, Eds: Bock, H.G. and Phu, H.X. and Rannacher, R. and Schlöder, J.P., Springer 250
  • M. Wlotzka, V. Heuveline (2017). An energy-efficient parallel multigrid methods for multi-core CPU platforms and HPC clusters, EMCL Preprint Series, vol. 03 251
  • M. Wlotzka, T. Morel, A. Piacentini, V. Heuveline (2017). New features for advanced dynamic parallel communication routines in OpenPALM: Algorithms and documentation, EMCL Preprint Series, vol. 04 252

2016

  • N. Schoch, F. Kißler, M. Stoll, S. Engelhardt, R. de Simone, I. Wolf, R. Bendl, V. Heuveline (2016). Comprehensive patient-specific information preprocessing for cardiac surgery simulations, Int J CARS 11(6):1051-1059 147
  • Michael Bromberger, Pascal Bastian, Jan-Philip Bergeest, Christian Conrad, Vincent Heuveline, Karl Rohr, Wolfgang Karl (2016). FPGA-accelerated Richardson-Lucy Deconvolution for 3D Image Data, In Proceedings International Symposium on Biomedical Imaging (ISBI), pp. Prague, Czech Republic, Apr 2016 68
  • Michael Bromberger, Wolfgang Karl, Vincent Heuveline (2016). Reducing Energy Consumption of Data Transfers using Runtime Data Type Conversion, In Proceedings Conference on Architecture of Computing Systems – ARCS, Nuremberg, Germany, Apr 2016 69
  • Andreas Fetzer, Jasmin Metzger, Darko Katic, Keno März, Martin Wagner, Patrick Philipp, Sandy Engelhardt, Tobias Weller, Sascha Zelzer, Alfred M. Franz, Nicolai Schoch, Vincent Heuveline, Maria Maleshkova, Achim Rettinger, Stefanie Speidel, Ivo Wolf, Hannes Kenngott, Arianeb Mehrabi, Beat P. Müller-Stich, Lena Maier-Hein, Hans-Peter Meinzer, Marco Nolden (2016). Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations,p.97890O,SPIE 144
  • Jonas Kratzke, Fabian Rengier, Christian Weis, Carsten J. Beller, Vincent Heuveline (2016). In vitro flow assessment: from PC-MRI to computational fluid dynamics including fluid-structure interaction, Medical Imaging 2016: Physics of Medical Imaging,p.97835C,SPIE 145
  • Philipp Lösel, Vincent Heuveline (2016). Enhancing a diffusion algorithm for 4D image segmentation using local information, Medical Imaging 2016: Image Processing,p.97842L,SPIE 146
  • Nicolai Schoch, Patrick Philipp, Tobias Weller, Sandy Engelhardt, Mykola Volovyk, Andreas Fetzer, Marco Nolden, Raffaele De Simone, Ivo Wolf, Maria Maleshkova, Achim Rettinger, Rudi Studer, Vincent Heuveline (2016). Cognitive tools pipeline for assistance of mitral valve surgery, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling,p.978603,SPIE 148
  • N. Schoch, S. Speidel, Y. Sure-Vetter, V. Heuveline (2016). Towards Semantic Simulation for Patient-Specific Surgery Assistance, Proc. First International Workshop on Surgical Data Science, 1:58-63 149
  • M. Wlotzka, V. Heuveline, S. Klatt, D. Kraus, E. Haas, K. Kiese, K. Butterbach-Bahl, P. Kraft, L. Breuer (2016). Parallel multiphysics simulations using OpenPALM with application to hydro-biogeochemistry coupling, Proc. 6th International Conference on High-Performance Scientific Computing 2015 (LNCS Springer), pp. [in press] 150

2015

  • Philipp Gerstner, Michael Schick, Vincent Heuveline (2015). A Multilevel Domain Decomposition approach for solving time constrained Optimal Power Flow problems, Preprint Series of the Engineering Mathematics and Computing Lab, 4:1-32 61
  • Maximilian Hoecker, Kai Lars Polsterer, Sven Dennis Kugler, Vincent Heuveline (2015). Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties, In Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, pp. 82-91 62
  • Nico Meyer-Hübner, Michael Suriyah, Thomas Leibfried, Viktor Slednev, Valentin Bertsch, Wolf Fichtner, Philipp Gerstner, Michael Schick, Vincent Heuveline (2015). Time Constrained Optimal Power Flow Calculations on the German Power Grid, In Proceedings of International ETG Congress, Bonn 63
  • Chen Song, Michael Schick, Vincent Heuveline (2015). A Polynomial Chaos Method for Uncertainty Quantification in Blood Pump Simulation, In Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP) 64
  • Jonas Kratzke, Michael Schick, Vincent Heuveline (2015). Fluid-Structure Interaction Simulation of an Aortic Phantom with Uncertain Young’s Modulus Using the Polynomial Chaos Expansion, Applied Mechanics and Materials, 807:34-44 65
  • Jonas Kratzke, Nicolai Schoch, Christian Weis, Matthias Mueller-Eschner, Stefanie Speidel, Mina Farag, Carsten Beller, Vincent Heuveline (2015). Enhancing 4D PC-MRI in an aortic phantom considering numerical simulations, In Proceedings of SPIE Medical Imaging 2015: Physics of Medical Imaging 66
  • Nicolai Schoch, Sandy Engelhardt, Norbert Zimmermann, Stefanie Speidel, Raffaele De Simone, Ivo Wolf, Vincent Heuveline (2015). Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system, In Proceedings of SPIE Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling 67
  • Michael Bromberger, Wolfgang Karl, Vincent Heuveline (2015). Exploiting approximate computing methods in FPGAs to accelerate stereo correspondence algorithms, In HiPEAC Conference, Amsterdam, Netherlands, Jan 2015 70

2018

  • Chen Song (2018). Uncertainty quantification for a blood pump device with generalized polynomial chaos expansion, Ruprecht-Karls-Universität Heidelberg 2018, 2018, Vincent Heuveline(Tutor) 345
  • Jonas Kratzke (2018). Uncertainty quantification for fluid-structure interaction, application to aortic biomechanics, Ruprecht-Karls-Universität Heidelberg 2018, 2018, Vincent Heuveline(Tutor) 347

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