• Kopanicakova, A. & Krause, R. (2020). A recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture. Computer Methods in Applied Mechanics and Engineering, 360(1), -. [More] [Bibtex] [RIS]
  • von Planta, C., Vogler, D., Xiaoqing, C., Nestola, M. G., Saar, M. O. & Krause, R. (2020). Modelling of hydro-mechanical processes in heterogeneous fracture intersections using a fictitious domain method with variational transfer operators. Computational Geosciences, , -. [More] [Bibtex] [RIS]
  • Bollhoefer, M., Schenk, O., Janalík, R., Hamm, S. & Gullapalli, K (2020). State-of-The-Art Sparse Direct Solvers, pages 1 - 30. Birkhauser. [More] [Bibtex] [RIS]
  • Klawonn, A., Lanser, M., Uran, M., Rheinbach, O., Schenk, O., Wellein, G. et al. (2020). Towards A Virtual Laboratory - Computation of Forming Limit Curves. Lecture Notes in Computational Science and Engineering, Springer, , 1 - 42. [More] [Bibtex] [RIS]
  • Zulian, P., von Planta, C., Vogler, D., Saar, M. O. & Krause, R. (2020). Contact between Rough Rock Surfaces Using a Dual Mortar Method. International Journal of Rock Mechanics and Mining Sciences, . [More] [Bibtex] [RIS]
  • Gaedke-Merzhäuser, L., Kopanicakova, A. & Krause, R (2020). Multilevel Minimization for Deep Residual Networks. In. [More] [Bibtex] [RIS]
  • Donatelli, M., Krause, R., Mazza, M. & Trotti, K. (2020). Multigrid preconditioners for anisotropic space-fractional diffusion equations. Advances in Computational Mathematics, . [More] [Bibtex] [RIS]
  • ALAPPAT, C., Hager, G., Schenk, O., Thies, J., Basermann, A., Bishop, A. et al. (2020). A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication. ACM Transactions on Parallel Computing, , 1 - 40. [More] [Bibtex] [RIS]


  • Pizzagalli, D. U., Latino, I., Pulfer, A., Palomino-Segura, M., Virgilio, T., Farsakoglu, Y. et al. (2019). Characterization of the dynamic behavior of neutrophils following influenza vaccination. Frontiers in Immunology, 20. [More] [Bibtex] [RIS]
  • Schädle, P., Zulian, P., Vogler, D., Sthavishtha, B. R., Nestola, M. G., Ebigbo, A. et al. (2019). 3D non-conforming mesh model for flow in fractured porous media using Lagrange multipliers. Computers \& Geosciences, 132, 42 - 55. [More] [Bibtex] [RIS]
  • Bollhoefer, M., Eftekhari, A., Scheidegger, S. & Schenk, O. (2019). Large-Scale Sparse Inverse Covariance Matrix Estimation. SIAM Journal on Scientific Computing, 41(1), 380 - 401. [More] [Bibtex] [RIS]
  • de Lima Batista, E. R., Alchieri, E., Pedone, F. & Dotti, F (2019). Resource Utilization Analysis of Early Scheduling in Parallel State Machine Replication. In IEEE. [More] [Bibtex] [RIS]
  • Zolfaghari, H., Becsek, B., Nestola, M. G., Sawyer, W. B., Krause, R. & Obrist, D. (2019). High-order accurate simulation of incompressible turbulent flows on many parallel GPUs of a hybrid-node supercomputer. Computational Physics Communications, 244, 132 - 142. [More] [Bibtex] [RIS]
  • Favino, M., Hunziker, J., Caspari, E., Quintal, B., Holliger, K. & Krause, R. (2019). Fully-Automated Adaptive Mesh Refinement for Media Embedding Complex Heterogeneities: Application to Poroelastic Fluid Pressure Diffusion. Computational Geosciences, . [More] [Bibtex] [RIS]
  • Bilgen, C., Kopaničáková, A., Krause, R. & Kerstin, W. (2019). A detailed investigation of the model influencing parameters of the phase-field fracture approach.. Accepted in GAMM Mitteilungen, (e202000005), -. [More] [Bibtex] [RIS]
  • von Planta, C., Vogler, D., Chen, X., Nestola, M. G., Saar, M. O. & Krause, R. (2019). Simulation of hydro-mechanically coupled processes in rough rock fractures using an immersed boundary method and variational transfer operators. Computational Geosciences, . [More] [Bibtex] [RIS]
  • Nestola, M. G., Becsek, B., Zolfaghari, H., Zulian, P., Marinis, D. D., Krause, R. et al. (2019). An immersed boundary method for fluid-structure interaction based on variational transfer. Journal of Computational Physics, , 108884 - 108884. [More] [Bibtex] [RIS]
  • Quaglino, A., Pezzuto, S. & Krause, R. (2019). High-dimensional and higher-order multifidelity Monte Carlo estimators. Journal of Computational Physics, , 300 - 315. [More] [Bibtex] [RIS]
  • Maire, F., Friel, N., Mira, A. & Raftery, A. E. (2019). Adaptive Incremental Mixture Markov chain Monte Carlo. Journal of Computational and Graphical Statistics, , 10 - 20. [More] [Bibtex] [RIS]
  • Kardoš, J., Kourounis, D. & Schenk, O (2019). Parallel Structure Exploiting Interior Point Methods, pages 1 - 30. Birkhauser. [More] [Bibtex] [RIS]
  • Kopaničáková, A. & Krause, R. (2019). Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture.. Submitted to Computer Methods in Applied Mechanics and Engineering, . [More] [Bibtex] [RIS]
  • Kopaničáková, A., Tamstorf, R. & Krause, R. (2019). Subdivision-based nonlinear multiscale cloth simulation. Accepted in SISC, SIAM JOURNAL for Scientific Computing, . [More] [Bibtex] [RIS]
  • Pizzagalli, D. U., Gonzalez, S. F. & Krause, R. (2019). A trainable clustering algorithm based on shortest paths from density peaks. Science Advances, . [More] [Bibtex] [RIS]
  • Nestola, M. G., Zulian, P., Gaedke-Merzhäuser, L. & Krause, R. (2019). An embedded formulation for fluid-structure interaction with contact. Computational Mechanics, , -. [More] [Bibtex] [RIS]
  • Dölz, J., Harbrecht, H. & Multerer, M. (2019). On the Best Approximation of the Hierarchical Matrix Product. SIAM Journal on Matrix Analysis and Applications, 40(1), 147 - 174. [More] [Bibtex] [RIS]
  • Harbrecht, H., Multerer, M. & Ilić, N. (2019). Rapid computation of far-field statistics for random obstacle scattering. Engineering Analysis with Boundary Elements, 101, 243 - 251. [More] [Bibtex] [RIS]


  • Pezzuto, S., Gharaviri, A., Schotten, U., Potse, M., Conte, G., Caputo, M. L. et al. (2018). Beat-to-beat P-wave morphological variability in patients with paroxysmal atrial fibrillation: an in silico study. EP Europace, 20(suppl\_3), -. [More] [Bibtex] [RIS]
  • Eftekhari, A., Bollhoefer, M. & Schenk, O (2018). Distributed Memory Sparse Inverse Covariance Matrix Estimation on High-Performance Computing Architectures. In Proceedings of the ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis. ACM. [More] [Bibtex] [RIS]
  • Verbosio, F., Kardoš, J., Bianco, M. & Schenk, O (2018). Highly Scalable Stencil-based Matrix-free Stochastic Estimator for the Diagonal of the Inverse. In 9th Workshop on Applications for Multi-Core Architectures. [More] [Bibtex] [RIS]
  • Malley, C. O., Kourounis, D., Hug, G. & Schenk, O (2018). Finite Volume Methods for Transient Modeling of Gas Pipelines. In 5th IEEE International Energy Conference. IEEE Xplore. [More] [Bibtex] [RIS]
  • Simpson, T., Dimosthenis, P., Kourounis, D., Fujita, K., Yamaguchi, T., Tsuyoshi, I. et al (2018). Balanced Graph Partition Refinement using the Graph p-Laplacian. In Proceedings of the ACM Platform for Advanced Scientific Computing Conference. ACM New York, NY, USA, 2018. [More] [Bibtex] [RIS]
  • Scheidegger, S., Mikushin, D., Kuebler, F. & Schenk, O (2018). Rethinking large-scale economic modeling for efficiency: optimizations for GPU and Xeon Phi clusters. In IEEE International Parallel & Distributed Processing Symposium (IPDPS'18), pages 610 - 619. In Proceedings of the 32nd IEEE International Parallel & Dis. [More] [Bibtex] [RIS]
  • Donfack, S., Sanan, P., Schenk, O., Reps, B. & Vanroose, W (2018). A High Arithmetic Intensity Krylov Subspace Method Based on Stencil Compiler Programs. In Proceedings of the International Conference on High Performance Computing in Science and Engineering, pages 1 - 18. Springer International Publishing. Lecture Notes in Computer. [More] [Bibtex] [RIS]
  • Multerer, M., Wittwer, L. D., Stopka, A., D. Barac, ., Lang, C. & Iber, D (2018). Simulation of morphogen and tissue dynamics, pages 223 - 250. Humana Press. [More] [Bibtex] [RIS]
  • Osborn, S., Zulian, P., Benson, T., Villa, U., Krause, R. & Vassilevski, P. S. (2018). Scalable hierarchical PDE sampler for generating spatially correlated random fields using nonmatching meshes. Numerical Linear Algebra with Applications, 25(3). [More] [Bibtex] [RIS]
  • Maffessanti, F., Prinzen, W. F., Conte, G., Regoli, F., Caputo, M. L., Suerder, D. et al. (2018). Integrated Assessment of Left Ventricular Electrical Activation and Myocardial Strain Mapping in Heart Failure Patients. JACC Clinical Electrophysiology, 4(1), 138 - 146. [More] [Bibtex] [RIS]
  • Becsek, B., Zolfaghari, H., Nestola, M. G., Obrist, D. & Krause, R (2018). Understanding Turbulent Flow issuing from the aortic valve. In 5th International Conference on Computational and Mathematical Biomedical Engineering-CMBE2017, pages 706 - 708. CMBE2017. [More] [Bibtex] [RIS]
  • von Planta, C., Vogler, D., Xiaoqing, C., Nestola, M. G., Zulian, P., Saar, M. O. et al (2018). Simulating hydro-mechanical processes in rough fractures with a Fluid-Structure Interaction (FSI) approach with a parallel transfer operator. In AGU Fall Meeting 2018, Washington, DC, USA. [More] [Bibtex] [RIS]
  • Bartolucci, F., Bacci, S. & Mira, A. (2018). On the role of latent variable models in the era of big data. Statistics and Probability Letters, , 165 - 169. [More] [Bibtex] [RIS]
  • Dutta, R., Chopard, B., Latt, J., Dubois, F., Boudjeltia, K. Z. & Mira, A. (2018). Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing. Frontiers in Physiology, section Computational Physiology and Medicine, , 1128 - 1138. [More] [Bibtex] [RIS]
  • Peluso, S., Chib, S. & Mira, A. (2018). Semiparametric Multivariate and Multiple Change-Point Modeling. Bayesian Analysis, , 10 - 20. [More] [Bibtex] [RIS]
  • Planta, C., Vogler, D., Nestola, M., Zulian, P. & Krause, R (2018). Variational Parallel Information Transfer between Unstructured Grids in Geophysics-Applications and Solutions Methods. In PROCEEDINGS, 43rd Workshop on Geothermal Reservoir Engineering Stanford University. [More] [Bibtex] [RIS]
  • Potse, M., Gharaviri, A., Pezzuto, S., Auricchio, A., Krause, R., Verheule, S. et al (2018). Anatomically-induced Fibrillation in a 3D model of the Human Atria. In Computing in Cardiology. [More] [Bibtex] [RIS]
  • Nestola, M. G., Becsek, B., Zolfaghari, H., Zulian, P., Obrist, D. & Krause, R (2018). An Immersed Boundary Method Based on the L2-Projection Approach. In Domain Decomposition Methods in Science and Engineering XXIV, pages 483 - 491. Springer International Publishing. [More] [Bibtex] [RIS]
  • Nguyen, U. C., Potse, M., Vernooy, K., Mafi-Rad, M., Heijman, J., Caputo, M. L. et al. (2018). A left bundle branch block activation sequence and ventricular pacing influence voltage amplitudes: an in vivo and in silico study.. EP Europace, 20(3), -. [More] [Bibtex] [RIS]
  • Malley, C. O., Roald, L., Kourounis, D., Schenk, O. & Hug, G (2018). Security Assessment in Gas-Electric Networks. In IEEE Xplore Proceedings of the 20th Power Systems Computation Conference, pages 1 - 7. IEEE Xplore Proceedings. [More] [Bibtex] [RIS]
  • Schenk, O., Giraud, L., Agullo, E. & Arbenz, P. (2018). Special issue on parallel matrix algorithms and applications (PMAA’16). Parallel Computing, , 1 - 2. [More] [Bibtex] [RIS]
  • Schenk, O., Kourounis, D. & Hug, G (2018). Optimizing gas networks using adjoint gradients. In x. [More] [Bibtex] [RIS]
  • Luisier, M., Ducry, F., Hossein, M., Hashemia, B., Brück, S., Calderara, M. et al (2018). Advanced Algorithms for Ab-initio Device Simulations. In IEEE Xplore:. IEEE Xplore. [More] [Bibtex] [RIS]
  • Amati, V., Lomi, A. & Mira, A. (2018). Social Network Modelling. Annual Review of Statistics and its Applications, , 343 - 369. [More] [Bibtex] [RIS]
  • Tierney, N., Reinhold, H. J., Mira, A., Weiser, M., Burkart, R., Benvenuti, C. et al. (2018). Novel relocation methods for automatic external defibrillator to improve out-of-hospital cardiac arrest coverage under limited resources. Resuscitation, , 83 - 89. [More] [Bibtex] [RIS]
  • Dutta, R., Mira, A. & Onnela, J. (2018). Bayesian inference of spreading processes on networks. Proc. Royal Society. A, , 20180129 - 20180129. [More] [Bibtex] [RIS]
  • Byshkin, M., Slivala, A., Robins, G., Mira, A. & Lomi, A. (2018). Fast Maximum Likelihood estimation via Equilibrium Expectation for large network data. Scientific Reports, , 1150 - 1160. [More] [Bibtex] [RIS]


  • Verbosio, F., Coninck, A. D., Kourounis, D. & Schenk, O. (2017). Enhancing the Scalability of Selected Inversion Factorization Algorithms in Genomic Prediction. Elsevier Journal of Computational Science, , -. [More] [Bibtex] [RIS]
  • Hunziker, J., Hunziker, J., Favino, M., Caspari, E., Quintal, B., Rubino, J. G. et al (2017). Seismic Attenuation in Realistic Fracture Networks. In Sixth Biot Conference on Poromechanics. American Society of Civil Engineers. [More] [Bibtex] [RIS]
  • Kourounis, D., Fuchs, A. & Schenk, O. (2017). Toward the next generation of multiperiod optimal power flow solvers. IEEE Transactions on Power Systems, 33(4), 4005 - 4014. [More] [Bibtex] [RIS]
  • Krause, R. & an Müller, B. (2017). An adaptive least-squares mixed finite eleme. Numerical Methods for Partial Differential Equations, 33(1), 276 - 289. [More] [Bibtex] [RIS]
  • Bilgen, C., Cáková, A. K., Krause, R. & Weinberg, K. (2017). A phase-field approach to pneumatic fracture. PAMM, 17(1), 71 - 74. [More] [Bibtex] [RIS]
  • Hesch, C., Schuß, S., Dittmann, M., Eugster, S. R., Favino, M. & Krause, R. (2017). Variational space-time elements for large-scale systems. Computer Methods in Applied Mechanics and Engineering, 326, 541 - 572. [More] [Bibtex] [RIS]
  • Peluso, S., Mira, A. & Muliere, P. (2017). Learning vs Earning Trade-Off with Missing or Censored Observations: the Two-Armed Bayesian Nonparametric Beta-Stacy Bandit Problem. Electronic Journal of Statistic, , 3368 - 3406. [More] [Bibtex] [RIS]
  • Mira, A., Peluso, S. & Muliere, P. (2017). Robust Identification of Highly Persistent Interest Rate Regimes. International Journal of Approximate Reasoning, , 102 - 117. [More] [Bibtex] [RIS]
  • Eftekhari, A., Scheidegger, S. U. & Schenk, O (2017). Parallelized Dimensional Decomposition for Large-Scale Dynamic Stochastic Economic Models. In Proceedings of the Platform for Advanced Scientific Computing Conference. [More] [Bibtex] [RIS]
  • Kourounis, D. & Schenk, O. (2017). Method to Accelerate the Processing of Multiperiod Optimal Power Flow Problems. Patent No. PCT/EP2017. [More] [Bibtex] [RIS]
  • Bloch, J. & Schenk, O (2017). Selected inversion as key to a stable Langevin evolution across the QCD phase boundary. In Proceedings of the 35th International Symposium on Lattice Field Theory. [More] [Bibtex] [RIS]
  • Rietmann, M., Grote, M., Peter, D. & Schenk, O. (2017). Newmark local time stepping on high-performance computing architectures. , . [More] [Bibtex] [RIS]
  • Lengauer, C., Bolten, M., Falgout, R. & Schenk, O. (2017). Special issue: Advanced stencil-code engineering. Concurrency and Computation: Practice and Experience, , 1 - 2. [More] [Bibtex] [RIS]


  • Dickopf, T., Gander, M. J., Halpern, L., Krause, R. & Pavarino, L. F. (2016). Domain Decomposition Methods in Science and Engineering XXII. Springer. [More] [Bibtex] [RIS]
  • Kotas, P., Croce, R., Poletti, V., Vondrak, V. & Krause, R (2016). A Massive Parallel Fast Marching Method. In Domain Decomposition Methods in Science and Engineering XXII, pages 311 - 318. Springer. [More] [Bibtex] [RIS]
  • Krause, R., Rigazzi, A. & Steiner, J. (2016). A parallel multigrid method for constrained minimization problems and its application to friction, contact, and obstacle problems. Computing and Visualization in Science, 18(1), 1 - 15. [More] [Bibtex] [RIS]
  • Grasedyck, L., Löbbert, C., Wittum, G., Nägel, A., Schulz, V., Siebenborn, M. et al (2016). Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations. In Software for Exascale Computing - SPPEXA 2013-2015, pages 507 - 523. Springer International Publishing. [More] [Bibtex] [RIS]
  • Favino, M., Bourauel, C. & Krause, R. (2016). A nonlinear poroelastic model for the periodontal ligament. International Journal for Computational Methods in Engineering Science and Mechanics, 17(3), 172 - 181. [More] [Bibtex] [RIS]
  • Benedusi, P., Hupp, D., Arbenz, P. & Krause, R (2016). A Parallel Multigrid Solver for Time-Periodic Incompressible Navier–Stokes Equations in 3D. In Numerical Mathematics and Advanced Applications ‐ ENUMATH 2015, pages 265 - 273. Springer. [More] [Bibtex] [RIS]
  • Quaglino, A. & Krause, R. (2016). Towards a multigrid method for the minimum-cost flow problem. arXiv preprint, . [More] [Bibtex] [RIS]
  • Favino, M., Pozzi, S., Pezzuto, S., Prinzen, F., Auricchio, A. & Krause, R. (2016). Impact of mechanical deformation on pseudo-ECG: a simulation study.. EP Europace, 18(suppl 4), -. [More] [Bibtex] [RIS]
  • Krause, D. & Krause, R. (2016). Enabling local time stepping in the parallel implicit solution of reaction{\textendash}diffusion equations via space-time finite elements on shallow tree meshes. Applied Mathematics and Computation, 277, 164 - 179. [More] [Bibtex] [RIS]
  • Krause, R. & Zulian, P. (2016). A Parallel Approach to the Variational Transfer of Discrete Fields between Arbitrarily Distributed Unstructured Finite Element Meshes. SIAM Journal on Scientific Computing, 38(3), -. [More] [Bibtex] [RIS]
  • Piazzese, C., Carminati, M. C., Colombo, A., Krause, R., Potse, M., Auricchio, A. et al. (2016). Segmentation of the left ventricular endocardium from magnetic resonance images by using different statistical shape models. Journal of Electrocardiology, 49(3), 383 - 391. [More] [Bibtex] [RIS]
  • Byshkin, M., Mira, A., Stivala, A., Krause, R., Robins, G. & Lomi, A. (2016). Auxiliary Parameter Markov Chain Monte Carlo for Exponential Random Graph Models. Journal of Statistical Physics, , 740 - 754. [More] [Bibtex] [RIS]
  • Mira, A., Friel, N. & Oates, C. (2016). Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods. Bayesian Analysis, , 215 - 245. [More] [Bibtex] [RIS]
  • Keilig, L., Drolshagen, M., Tran, K. L., Hasan, I., Reimann, S., Deschner, J. et al. (2016). In vivo measurements and numerical analysis of the biomechanical characteristics of the human periodontal ligament. Annals of anatomy, 206, 80 - 88. [More] [Bibtex] [RIS]
  • Říha, L., Brzobohat'y, T., Markopoulos, A., Kozubek, T., Meca, O., Schenk, O. et al (2016). Efficient Implementation of Total FETI Solver for Graphic Processing Units Using Schur Complement. In Proceedings of the International Conference on High Performance Computing in Science and Engineering, pages 85 - 100. Springer International Publishing. [More] [Bibtex] [RIS]
  • Li, X., Benedusi, P. & Krause, R. (2016). An Iterative Approach for Time Integration Based on Discontinuous Galerkin Methods. Math. of Comp, . [More] [Bibtex] [RIS]
  • Arbenz, P., Grigori, L., Krause, R. & Schenk, O. (2016). Special issue on Parallel Matrix Algorithms and Applications (PMAA'14). Parallel Computing, , 99 - 100. [More] [Bibtex] [RIS]
  • Coninck, A. D., Baets, B. D., Kourounis, D., Verbosio, F., Schenk, O., Maenhout, S. et al. (2016). Needles: Toward Large-Scale Genomic Prediction with Marker-by-Environment Interaction. Genetics, , 543 - 555. [More] [Bibtex] [RIS]


  • Speck, R., Ruprecht, D., Emmett, M., Minion, M., Bolten, M. & Krause, R. (2015). A multi-level spectral deferred correction method. Bit Numer. Math., 55(3), 843 - 867. [More] [Bibtex] [RIS]
  • Arteaga, A., Ruprecht, D. & Krause, R. (2015). A stencil-based implementation of Parareal in the C++ domain specific embedded language STELLA. Applied Mathematics and Computation, 267, 727 - 741. [More] [Bibtex] [RIS]
  • Krause, R., Krause, D., Favino, M. & Ruprecht, D (2015). Parallel Methods in Cardiac Simulation -- from lightweight adaptivity to Coupled Models. In 4th International Conference on Computational and Mathematical Biomedical Engineering - CMBE 2015, pages 684 - 687. [More] [Bibtex] [RIS]
  • Kroon, W., Lumens, J., Potse, M., Suerder, D., Klersy, C., Regoli, F. et al. (2015). In-vivo Electromechanical Assessment of Heart Failure Patients with Prolonged QRS Duration. Heart Rhythm, 12(6), 1259 - 1267. [More] [Bibtex] [RIS]
  • Nguy\haten, U. C., Potse, M., Regoli, F., Caputo, M. L., Conte, G., Murzilli, R. et al. (2015). An in-silico analysis of the effect of heart position and orientation on the ECG morphology and vectorcardiogram parameters in patients with heart failure and intraventricular conduction defects. Journal of Electrocardiology, 48(4), 617 - 625. [More] [Bibtex] [RIS]
  • Kreienbuehl, A., Naegel, A., Ruprecht, D., Speck, R., Wittum, G. & Krause, R. (2015). Numerical simulation of skin transport using Parareal. Computing and Visualization in Science, 17(2), 99 - 108. [More] [Bibtex] [RIS]
  • Schneider, T., Zulian, P., Azadmanesh, M. R., Krause, R. & Hauswirth, M (2015). Vestige: A visualization framework for engineering geometry-related software. In 2015 IEEE 3rd Working Conference on Software Visualization (VISSOFT), pages 26 - 35. [More] [Bibtex] [RIS]
  • Krause, R., Veeser, A. & Mirja. (2015). Efficient and reliable residual-type a posterio. Numerische Mathematik, 130(1), 151 - 197. [More] [Bibtex] [RIS]
  • Kourounis, D. & Schenk, O. (2015). Constraint handling for gradient-based optimization of compositional reservoir flow. Computational Geosciences, , 1109 - 1122. [More] [Bibtex] [RIS]
  • Arbenz, P., Grigori, L., Krause, R. & Schenk, O. (2015). Special issue on Parallel Matrix Algorithms and Applications (PMAA'14). Parallel Computing, , 135 - 136. [More] [Bibtex] [RIS]
  • Brumm, J., Mikushin, D., Scheidegger, S. U. & Schenk, O. (2015). Scalable high-dimensional dynamic stochastic economic modeling. Journal of Computational Science, , 12 - 25. [More] [Bibtex] [RIS]
  • Rietmann, M., Peter, D., Schenk, O., Car, B. U. & Grote, M (2015). Load-Balanced Local Time Stepping for Large-Scale Wave Propagation. In 2015 IEEE International Parallel and Distributed Processing Symposium. [More] [Bibtex] [RIS]
  • Lengauer, C., Bolten, M., Falgout, R. D. & Schenk, O. (2015). Advanced Stencil-Code Engineering (Dagstuhl Seminar 15161). Dagstuhl Report, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, , 56 - 75. [More] [Bibtex] [RIS]
  • Coninck, A. D., Kourounis, D., Verbosio, F., Schenk, O., Baets, B. D., Maenhout, S. et al (2015). Towards Parallel Large-Scale Genomic Prediction by Coupling Sparse and Dense Matrix Algebra. In 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. [More] [Bibtex] [RIS]


  • Kourounis, D., Durlofsky, L. J., Jansen, J. D. & Aziz, K. (2014). Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow. Computational Geosciences, 18(2), 117 - 137. [More] [Bibtex] [RIS]
  • Baginski, F. E., Croce, R., Gillmor, S. & Krause, R. (2014). Numerical investigations of the role of curvature in strong segregation problems on a given surface. Applied Mathematics and Computation, 227, 399 - 411. [More] [Bibtex] [RIS]
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