Parallelization of Large Scale Ocean Models by Data Decomposition. - Hans-Peter Kersken; B. Fritzsch; Olaf Schenk; Wolfgang Hiller; Jörn Behrens; E. Krauße (HPCN, 1994)

Scalable Parallel Sparse Factorization with Left-Right Looking Strategy on Shared Memory Multoprocessors. - Olaf Schenk; Klaus Gärtner; Wolfgang Fichtner (HPCN Europe, 1999)

Application of Parallel Sparse Direct Methods in Semiconductor Device and Process Simulation. - Olaf Schenk; Klaus Gärtner; Wolfgang Fichtner (ISHPC, 1999)

Scalable parallel sparse LU factorization methods on shared memory multiprocessors. - Olaf Schenk (Hartung-Gorre, 2000)

Sparse Factorization with Two Level Scheduling in PARDISO. - Olaf Schenk; Klaus Gärtner (PP, 2001)

PARDISO: a high-performance serial and parallel sparse linear solver in semiconductor device simulation. - Olaf Schenk; Klaus Gärtner; Wolfgang Fichtner; Andreas Stricker (Future Gener. Comput. Syst., 2001)

Two-level dynamic scheduling in PARDISO: Improved scalability on shared memory multiprocessing systems . - Olaf Schenk; Klaus Gärtner (Parallel Comput., 2002)

Task-Queue Based Hybrid Parallelism: A Case Study. - Karl Fürlinger; Olaf Schenk; Michael Hagemann (Euro-Par, 2004)

Maximum-Weighted Matching Strategies and the Application to Symmetric Indefinite Systems. - Stefan Röllin; Olaf Schenk (PARA, 2004)

Solving unsymmetric sparse systems of linear equations with PARDISO. - Olaf Schenk; Klaus Gärtner (Future Gener. Comput. Syst., 2004)

The effects of unsymmetric matrix permutations and scalings in semiconductor device and circuit simulation. - Olaf Schenk; Stefan Röllin; Anshul Gupta (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2004)

Efficiency Considerations in Solving Smoluchowski Equations for Rough Potentials. - Polina V. Banushkina; Olaf Schenk; Markus Meuwly (CompLife, 2005)

Special section: SPEEDUP Workshop on Modern algorithms in computational science and information technology. - Peter Arbenz; Helmar Burkhart; Erik Maehle; Olaf Schenk (Future Gener. Comput. Syst., 2005)

Weighted Matchings for Preconditioning Symmetric Indefinite Linear Systems. - Michael Hagemann; Olaf Schenk (SIAM J. Sci. Comput., 2006)

Matching-based preprocessing algorithms to the solution of saddle-point problems in large-scale nonconvex interior-point optimization. - Olaf Schenk; Andreas Wächter; Michael Hagemann (Comput. Optim. Appl., 2007)

Towards Personalized Medicine: High-Performance Computing in the Life Sciences. - Olaf Schenk; Helmar Burkhart; Hema Reddy (ERCIM News, 2008)

Algorithmic performance studies on graphics processing units. - Olaf Schenk; Matthias Christen; Helmar Burkhart (J. Parallel Distributed Comput., 2008)

On Large-Scale Diagonalization Techniques for the Anderson Model of Localization. - Olaf Schenk; Matthias Bollhöfer; Rudolf A. Römer (SIAM Rev., 2008)

Inertia-Revealing Preconditioning For Large-Scale Nonconvex Constrained Optimization. - Olaf Schenk; Andreas Wächter; Martin Weiser (SIAM J. Sci. Comput., 2008)

09061 Abstracts Collection - Combinatorial Scientific Computing. - Uwe Naumann; Olaf Schenk; Horst D. Simon; Sivan Toledo (Combinatorial Scientific Computing, 2009)

Solving Bi-objective Many-Constraint Bin Packing Problems in Automobile Sheet Metal Forming Processes. - Madan Sathe; Olaf Schenk; Helmar Burkhart (EMO, 2009)

PSPIKE: A Parallel Hybrid Sparse Linear System Solver. - Murat Manguoglu; Ahmed H. Sameh; Olaf Schenk (Euro-Par, 2009)

Parallel data-locality aware stencil computations on modern micro-architectures. - Matthias Christen; Olaf Schenk; Esra Neufeld; Peter Messmer; Helmar Burkhart (IPDPS, 2009)

Parallel scalable PDE-constrained optimization: antenna identification in hyperthermia cancer treatment planning. - Olaf Schenk; Murat Manguoglu; Ahmed H. Sameh; Matthias Christen; Madan Sathe (Comput. Sci. Res. Dev., 2009)

Algebraic Multilevel Preconditioner for the Helmholtz Equation in Heterogeneous Media. - Matthias Bollhöfer; Marcus J. Grote; Olaf Schenk (SIAM J. Sci. Comput., 2009)

Manycore Stencil Computations in Hyperthermia Applications. - Matthias Christen; Olaf Schenk; Esra Neufeld; Maarten M. Paulides; Helmar Burkhart (Scientific Computing with Multicore and Accelerators, 2010)

An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations. - Frank E. Curtis; Olaf Schenk; Andreas Wächter (SIAM J. Sci. Comput., 2010)

PATUS: A Code Generation and Autotuning Framework for Parallel Iterative Stencil Computations on Modern Microarchitectures. - Matthias Christen; Olaf Schenk; Helmar Burkhart (IPDPS, 2011)

Automatic code generation and tuning for stencil kernels on modern shared memory architectures. - Matthias Christen; Olaf Schenk; Helmar Burkhart (Comput. Sci. Res. Dev., 2011)

Special issue on Parallel Matrix Algorithms and Applications (PMAA'10). - Peter Arbenz; Yousef Saad; Ahmed H. Sameh; Olaf Schenk (Parallel Comput., 2011)

Interior Point Methods for the Inverse Medium Problem on Massively Parallel Architectures. - Marcus J. Grote; Johannes Huber; Olaf Schenk (ICCS, 2011)

PARDISO. - Olaf Schenk; Klaus Gärtner (Encyclopedia of Parallel Computing, 2011)

Patus for convenient high-performance stencils: evaluation in earthquake simulations. - Matthias Christen; Olaf Schenk; Yifeng Cui (SC, 2012)

Forward and adjoint simulations of seismic wave propagation on emerging large-scale GPU architectures. - Max Rietmann; Peter Messmer; Tarje Nissen-Meyer; Daniel Peter 001; Piero Basini; Dimitri Komatitsch; Olaf Schenk; Jeroen Tromp; Lapo Boschi; Domenico Giardini (SC, 2012)

A note on the implementation of an interior-point algorithm for nonlinear optimization with inexact step computations. - Frank E. Curtis; Johannes Huber; Olaf Schenk; Andreas Wächter (Math. Program., 2012)

An auction-based weighted matching implementation on massively parallel architectures. - Madan Sathe; Olaf Schenk; Helmar Burkhart (Parallel Comput., 2012)

A Performance Study of an Anelastic Wave Propagation Code Using Auto-tuned Stencil Computations. - Matthias Christen; Olaf Schenk (ICCS, 2012)

Fast Methods for Computing Selected Elements of the Green's Function in Massively Parallel Nanoelectronic Device Simulations. - Andrey Kuzmin; Mathieu Luisier; Olaf Schenk (Euro-Par, 2013)

Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers. - Cosmin G. Petra; Olaf Schenk; Mihai Anitescu (Comput. Sci. Eng., 2014)

Fast parallel algorithms for graph similarity and matching. - Giorgios Kollias; Madan Sathe; Olaf Schenk; Ananth Grama (J. Parallel Distributed Comput., 2014)

Parallel matrix algorithms. - Costas Bekas; Ananth Grama; Yousef Saad; Olaf Schenk (Parallel Comput., 2014)

Inexact Interior-Point Method for PDE-Constrained Nonlinear Optimization. - Marcus J. Grote; Johannes Huber; Drosos Kourounis; Olaf Schenk (SIAM J. Sci. Comput., 2014)

An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization. - Cosmin G. Petra; Olaf Schenk; Miles Lubin; Klaus Gärtner (SIAM J. Sci. Comput., 2014)

Efficient Implementation of Total FETI Solver for Graphic Processing Units Using Schur Complement. - Lubomír Ríha; Tomás Brzobohatý; Alexandros Markopoulos; Tomás Kozubek; Ondrej Meca; Olaf Schenk; Wim Vanroose (HPCSE, 2015)

Load-Balanced Local Time Stepping for Large-Scale Wave Propagation. - Max Rietmann; Daniel Peter 001; Olaf Schenk; Bora Uçar; Marcus J. Grote (IPDPS, 2015)

Towards Parallel Large-Scale Genomic Prediction by Coupling Sparse and Dense Matrix Algebra. - Arne De Coninck; Drosos Kourounis; Fabio Verbosio; Olaf Schenk; Bernard De Baets; Steven Maenhout; Jan Fostier (PDP, 2015)

Advanced Stencil-Code Engineering (Dagstuhl Seminar 15161). - Christian Lengauer; Matthias Bolten; Robert D. Falgout; Olaf Schenk (Dagstuhl Reports, 2015)

Scalable high-dimensional dynamic stochastic economic modeling. - Johannes Brumm; Dmitry Mikushin; Simon Scheidegger; Olaf Schenk (J. Comput. Sci., 2015)

Special issue on Parallel Matrix Algorithms and Applications (PMAA'14). - Peter Arbenz; Laura Grigori; Rolf Krause; Olaf Schenk (Parallel Comput., 2016)

A High Arithmetic Intensity Krylov Subspace Method Based on Stencil Compiler Programs. - Simplice Donfack; Patrick Sanan; Olaf Schenk; Bram Reps; Wim Vanroose (HPCSE, 2017)

Parallelized Dimensional Decomposition for Large-Scale Dynamic Stochastic Economic Models. - Aryan Eftekhari; Simon Scheidegger; Olaf Schenk (PASC, 2017)

Special issue: Advanced stencil-code engineering. - Christian Lengauer; Matthias Bolten; Robert D. Falgout; Olaf Schenk (Concurr. Comput. Pract. Exp., 2017)

Compile-Time Symbolic Differentiation Using C++ Expression Templates. - Drosos Kourounis; Leonidas Gergidis; Michael A. Saunders; Andrea Walther; Olaf Schenk (CoRR, 2017)

Newmark local time stepping on high-performance computing architectures. - Max Rietmann; Marcus J. Grote; Daniel Peter 001; Olaf Schenk (J. Comput. Phys., 2017)

Enhancing the scalability of selected inversion factorization algorithms in genomic prediction. - Fabio Verbosio; Arne De Coninck; Drosos Kourounis; Olaf Schenk (J. Comput. Sci., 2017)

Viscoelastic Crustal Deformation Computation Method with Reduced Random Memory Accesses for GPU-Based Computers. - Takuma Yamaguchi; Kohei Fujita; Tsuyoshi Ichimura; Anne Glerum; Ylona van Dinther; Takane Hori; Olaf Schenk; Muneo Hori; Lalith Wijerathne (ICCS (2), 2018)

Rethinking large-scale Economic Modeling for Efficiency: Optimizations for GPU and Xeon Phi Clusters. - Simon Scheidegger; Dmitry Mikushin; Felix Kubler; Olaf Schenk (IPDPS, 2018)

Balanced Graph Partition Refinement using the Graph p-Laplacian. - Toby Simpson; Dimosthenis Pasadakis; Drosos Kourounis; Kohei Fujita; Takuma Yamaguchi; Tsuyoshi Ichimura; Olaf Schenk (PASC, 2018)

Highly Scalable Stencil-Based Matrix-Free Stochastic Estimator for the Diagonal of the Inverse. - Fabio Verbosio; Jurai Kardos; Mauro Bianco; Olaf Schenk (SBAC-PAD, 2018)

Multicore Performance Engineering of Sparse Triangular Solves Using a Modified Roofline Model. - Markus Wittmann; Georg Hager; Radim Janalík; Martin Lanser; Axel Klawonn; Oliver Rheinbach; Olaf Schenk; Gerhard Wellein (SBAC-PAD, 2018)

Distributed memory sparse inverse covariance matrix estimation on high-performance computing architectures. - Aryan Eftekhari; Matthias Bollhöfer; Olaf Schenk (SC, 2018)

Optimizing gas networks using adjoint gradients. - Conor O'Malley; Drosos Kourounis; Gabriela Hug; Olaf Schenk (CoRR, 2018)

Special issue on parallel matrix algorithms and applications (PMAA'16). - Emmanuel Agullo; Peter Arbenz; Luc Giraud; Olaf Schenk (Parallel Comput., 2018)

State-of-The-Art Sparse Direct Solvers. - Matthias Bollhöfer; Olaf Schenk; Radim Janalík; Steve Hamm; Kiran Gullapalli (CoRR, 2019)

Structure Exploiting Interior Point Methods. - Jurai Kardos; Drosos Kourounis; Olaf Schenk (CoRR, 2019)

High Performance Block Incomplete LU Factorization. - Matthias Bollhöfer; Olaf Schenk; Fabio Verbosio (CoRR, 2019)

Large-scale Sparse Inverse Covariance Matrix Estimation. - Matthias Bollhöfer; Aryan Eftekhari; Simon Scheidegger; Olaf Schenk (SIAM J. Sci. Comput., 2019)

Reduced-Space Interior Point Methods in Power Grid Problems. - Juraj Kardos; Drosos Kourounis; Olaf Schenk (CoRR, 2020)

K-way p-spectral clustering on Grassmann manifolds. - Dimosthenis Pasadakis; Christie Louis Alappat; Olaf Schenk; Gerhard Wellein (CoRR, 2020)

A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication. - Christie L. Alappat; Achim Basermann; Alan R. Bishop; Holger Fehske; Georg Hager; Olaf Schenk; Jonas Thies; Gerhard Wellein (ACM Trans. Parallel Comput., 2020)

EXASTEEL: Towards a Virtual Laboratory for the Multiscale Simulation of Dual-Phase Steel Using High-Performance Computing. - Axel Klawonn; Martin Lanser; Matthias Uran; Oliver Rheinbach; Stephan Köhler; Jörg Schröder; Lisa Scheunemann; Dominik Brands; Daniel Balzani; Ashutosh Gandhi; Gerhard Wellein; Markus Wittmann; et al. (Software for Exascale Computing, 2020)

Block-enhanced precision matrix estimation for large-scale datasets. - Aryan Eftekhari; Dimosthenis Pasadakis; Matthias Bollhöfer; Simon Scheidegger; Olaf Schenk (J. Comput. Sci., 2021)

New Frontiers in Bayesian Modeling Using the INLA Package in R. - Janet van Niekerk; Haakon Bakka; Håvard Rue; Olaf Schenk (J. Stat. Softw., 2021)

Guest editorial: Virtual special issue on parallel matrix algorithms and applications (PMAA'18). - Olaf Schenk; Peter Arbenz; Luc Giraud; Wim Vanroose (Parallel Comput., 2021)

Multiway p-spectral graph cuts on Grassmann manifolds. - Dimosthenis Pasadakis; Christie Louis Alappat; Olaf Schenk; Gerhard Wellein (Mach. Learn., 2022)

AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study. - Naga Venkata Sai Jitin Jami; Juraj Kardos; Olaf Schenk; Harald Köstler (ISGT EUROPE, 2023)

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling. - Lisa Gaedke-Merzhäuser; Elias Teixeira Krainski; Radim Janalík; Håvard Rue; Olaf Schenk (CoRR, 2023)

Application of deep and reinforcement learning to boundary control problems. - Zenin Easa Panthakkalakath; Juraj Kardos; Olaf Schenk (CoRR, 2023)

Parallelized integrated nested Laplace approximations for fast Bayesian inference. - Lisa Gaedke-Merzhäuser; Janet van Niekerk; Olaf Schenk; Håvard Rue (Stat. Comput., 2023)

Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication. - Christie L. Alappat; Georg Hager; Olaf Schenk; Gerhard Wellein (IEEE Trans. Parallel Distributed Syst., 2023)

Sparse Quadratic Approximation for Graph Learning. - Dimosthenis Pasadakis; Matthias Bollhöfer; Olaf Schenk (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Data-Driven Unit Commitment Refinement - a Scalable Approach for Complex Modern Power Grids. - Timothy Holt; Shrirang Abhyankar; Teja Kuruganti; Olaf Schenk; Slaven Peles (HICSS, 2024)

Multilevel Diffusion Based Spectral Graph Clustering. - Malik Lechekhab; Dimosthenis Pasadakis; Olaf Schenk (HPEC, 2024)

GAMLNet: a graph based framework for the detection of money laundering. - Julien Schmidt; Dimosthenis Pasadakis; Madan Sathe; Olaf Schenk (SDS, 2024)

Building Interpretable Climate Emulators for Economics. - Aryan Eftekhari; Doris Folini; Aleksandra Friedl; Felix Kübler; Simon Scheidegger; Olaf Schenk (CoRR, 2024)

Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning. - Edoardo Vecchi; Juraj Kardos; Malik Lechekhab; Andreas Wächter; Illia Horenko; Olaf Schenk (J. Comput. Sci., 2024)

Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling. - Lisa Gaedke-Merzhäuser; Elias Teixeira Krainski; Radim Janalík; Håvard Rue; Olaf Schenk (SIAM J. Sci. Comput., 2024)

Multiresolution kernel matrix algebra. - Helmut Harbrecht; Michael D. Multerer; Olaf Schenk; Christoph Schwab (Numerische Mathematik, 2024)

Algorithm 1042: Sparse Precision Matrix Estimation with SQUIC. - Aryan Eftekhari; Lisa Gaedke-Merzhäuser; Dimosthenis Pasadakis; Matthias Bollhöfer; Simon Scheidegger; Olaf Schenk (ACM Trans. Math. Softw., 2024)

Sensitivity analysis of high-dimensional models with correlated inputs. - Juraj Kardos; Wouter Edeling; Diana Suleimenova; Derek Groen; Olaf Schenk (J. Comput. Sci., 2025)

The European master for HPC curriculum. - Pascal Bouvry; Mats Brorsson; Ramon Canal; Aryan Eftekhari; Siegfried Höfinger; Didier Smets; Harald Köstler; Tomás Kozubek; Ezhilmathi Krishnasamy; Josep Llosa; Alexandra Lukas-Rother; Xavier Martorell; et al. (J. Parallel Distributed Comput., 2025)

Serinv: A Scalable Library for the Selected Inversion of Block-Tridiagonal with Arrowhead Matrices. - Vincent Maillou; Lisa Gaedke-Merzhäuser; Alexandros Nikolaos Ziogas; Olaf Schenk; Mathieu Luisier (CoRR, 2025)

Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. - Lisa Gaedke-Merzhäuser; Vincent Maillou; Fernando Rodriguez Avellaneda; Olaf Schenk; Mathieu Luisier; Paula Moraga; Alexandros Nikolaos Ziogas; Håvard Rue (CoRR, 2025)