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Olaf Schenk
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2020 – today
- 2024
- [j43]Edoardo Vecchi
, Juraj Kardos, Malik Lechekhab, Andreas Wächter, Illia Horenko, Olaf Schenk:
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning. J. Comput. Sci. 76: 102208 (2024) - [j42]Helmut Harbrecht, Michael D. Multerer, Olaf Schenk, Christoph Schwab:
Multiresolution kernel matrix algebra. Numerische Mathematik 156(3): 1085-1114 (2024) - [j41]Lisa Gaedke-Merzhäuser
Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling. SIAM J. Sci. Comput. 46(4): 448- (2024) - [j40]Aryan Eftekhari
Algorithm 1042: Sparse Precision Matrix Estimation with SQUIC. ACM Trans. Math. Softw. 50(2): 13:1-13:18 (2024) - [c31]Timothy Holt, Shrirang Abhyankar, Teja Kuruganti, Olaf Schenk, Slaven Peles:
Data-Driven Unit Commitment Refinement - a Scalable Approach for Complex Modern Power Grids. HICSS 2024: 3082-3091 - [c30]Julien Schmidt, Dimosthenis Pasadakis, Madan Sathe, Olaf Schenk:
GAMLNet: a graph based framework for the detection of money laundering. SDS 2024: 241-245 - [e2]Katherine Evans, Olaf Schenk:
Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2024, Zurich, Switzerland, June 3-5, 2024. ACM 2024 [contents] - 2023
- [j39]Dimosthenis Pasadakis
Sparse Quadratic Approximation for Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11256-11269 (2023) - [j38]Lisa Gaedke-Merzhäuser
Parallelized integrated nested Laplace approximations for fast Bayesian inference. Stat. Comput. 33(1): 25 (2023) - [j37]Christie L. Alappat
Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication. IEEE Trans. Parallel Distributed Syst. 34(2): 581-597 (2023) - [c29]Naga Venkata Sai Jitin Jami, Juraj Kardos, Olaf Schenk, Harald Köstler:
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study. ISGT EUROPE 2023: 1-5 - [i18]Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, Håvard Rue, Olaf Schenk:
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling. CoRR abs/2303.15254 (2023) - [i17]Juraj Kardos, Wouter Edeling, Diana Suleimenova, Derek Groen, Olaf Schenk:
Sensitivity Analysis of High-Dimensional Models with Correlated Inputs. CoRR abs/2306.00555 (2023) - [i16]Naga Venkata Sai Jitin Jami
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study. CoRR abs/2306.10080 (2023) - [i15]Zenin Easa Panthakkalakath
Application of deep and reinforcement learning to boundary control problems. CoRR abs/2310.15191 (2023) - 2022
- [j36]Dimosthenis Pasadakis
Multiway p-spectral graph cuts on Grassmann manifolds. Mach. Learn. 111(2): 791-829 (2022) - [i14]Lisa Gaedke-Merzhäuser, Janet van Niekerk, Olaf Schenk, Håvard Rue:
Parallelized integrated nested Laplace approximations for fast Bayesian inference. CoRR abs/2204.04678 (2022) - [i13]Christie L. Alappat, Georg Hager, Olaf Schenk, Gerhard Wellein:
Level-based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication. CoRR abs/2205.01598 (2022) - [i12]Helmut Harbrecht, Michael D. Multerer, Olaf Schenk, Christoph Schwab:
Multiresolution kernel matrix algebra. CoRR abs/2211.11681 (2022) - 2021
- [j35]Aryan Eftekhari
Block-enhanced precision matrix estimation for large-scale datasets. J. Comput. Sci. 53: 101389 (2021) - [j34]Janet van Niekerk
New Frontiers in Bayesian Modeling Using the INLA Package in R. J. Stat. Softw. 100(2) (2021) - [j33]Olaf Schenk, Peter Arbenz, Luc Giraud, Wim Vanroose:
Guest editorial: Virtual special issue on parallel matrix algorithms and applications (PMAA'18). Parallel Comput. 102: 102720 (2021) - 2020
- [j32]Christie L. Alappat
A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication. ACM Trans. Parallel Comput. 7(3): 19:1-19:37 (2020) - [p2]Axel Klawonn
EXASTEEL: Towards a Virtual Laboratory for the Multiscale Simulation of Dual-Phase Steel Using High-Performance Computing. Software for Exascale Computing 2020: 351-404 - [i11]Juraj Kardos, Drosos Kourounis, Olaf Schenk:
Reduced-Space Interior Point Methods in Power Grid Problems. CoRR abs/2001.10815 (2020) - [i10]Dimosthenis Pasadakis, Christie Louis Alappat, Olaf Schenk, Gerhard Wellein:
K-way p-spectral clustering on Grassmann manifolds. CoRR abs/2008.13210 (2020)
2010 – 2019
- 2019
- [j31]Matthias Bollhöfer
Large-scale Sparse Inverse Covariance Matrix Estimation. SIAM J. Sci. Comput. 41(1): A380-A401 (2019) - [i9]Matthias Bollhöfer
State-of-The-Art Sparse Direct Solvers. CoRR abs/1907.05309 (2019) - [i8]Jurai Kardos, Drosos Kourounis, Olaf Schenk:
Structure Exploiting Interior Point Methods. CoRR abs/1907.05420 (2019) - [i7]Christie L. Alappat, Georg Hager, Olaf Schenk, Jonas Thies, Achim Basermann, Alan R. Bishop, Holger Fehske, Gerhard Wellein:
A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication. CoRR abs/1907.06487 (2019) - [i6]Matthias Bollhöfer
High Performance Block Incomplete LU Factorization. CoRR abs/1908.10169 (2019) - 2018
- [j30]Emmanuel Agullo, Peter Arbenz
Special issue on parallel matrix algorithms and applications (PMAA'16). Parallel Comput. 74: 1-2 (2018) - [c28]Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura, Anne Glerum, Ylona van Dinther
Viscoelastic Crustal Deformation Computation Method with Reduced Random Memory Accesses for GPU-Based Computers. ICCS (2) 2018: 31-43 - [c27]Simon Scheidegger, Dmitry Mikushin, Felix Kubler, Olaf Schenk
Rethinking large-scale Economic Modeling for Efficiency: Optimizations for GPU and Xeon Phi Clusters. IPDPS 2018: 610-619 - [c26]Toby Simpson, Dimosthenis Pasadakis
Balanced Graph Partition Refinement using the Graph p-Laplacian. PASC 2018: 8:1-8:11 - [c25]Markus Wittmann, Georg Hager
Multicore Performance Engineering of Sparse Triangular Solves Using a Modified Roofline Model. SBAC-PAD 2018: 233-241 - [c24]Fabio Verbosio
Highly Scalable Stencil-Based Matrix-Free Stochastic Estimator for the Diagonal of the Inverse. SBAC-PAD 2018: 410-419 - [c23]Aryan Eftekhari, Matthias Bollhöfer, Olaf Schenk:
Distributed memory sparse inverse covariance matrix estimation on high-performance computing architectures. SC 2018: 20:1-20:12 - [i5]Conor O'Malley, Drosos Kourounis, Gabriela Hug, Olaf Schenk:
Optimizing gas networks using adjoint gradients. CoRR abs/1804.09601 (2018) - 2017
- [j29]Christian Lengauer
Special issue: Advanced stencil-code engineering. Concurr. Comput. Pract. Exp. 29(17) (2017) - [j28]Max Rietmann, Marcus J. Grote
Newmark local time stepping on high-performance computing architectures. J. Comput. Phys. 334: 308-326 (2017) - [j27]Fabio Verbosio
Enhancing the scalability of selected inversion factorization algorithms in genomic prediction. J. Comput. Sci. 22: 99-108 (2017) - [c22]Simplice Donfack, Patrick Sanan, Olaf Schenk
A High Arithmetic Intensity Krylov Subspace Method Based on Stencil Compiler Programs. HPCSE 2017: 1-18 - [c21]Aryan Eftekhari
Parallelized Dimensional Decomposition for Large-Scale Dynamic Stochastic Economic Models. PASC 2017: 9:1-9:11 - [i4]Drosos Kourounis, Leonidas Gergidis, Michael A. Saunders, Andrea Walther, Olaf Schenk:
Compile-Time Symbolic Differentiation Using C++ Expression Templates. CoRR abs/1705.01729 (2017) - 2016
- [j26]Peter Arbenz
Special issue on Parallel Matrix Algorithms and Applications (PMAA'14). Parallel Comput. 57: 135-136 (2016) - 2015
- [j25]Johannes Brumm, Dmitry Mikushin, Simon Scheidegger, Olaf Schenk
Scalable high-dimensional dynamic stochastic economic modeling. J. Comput. Sci. 11: 12-25 (2015) - [j24]Peter Arbenz
Special issue on Parallel Matrix Algorithms and Applications (PMAA'14). Parallel Comput. 49: 99-100 (2015) - [c20]Lubomír Ríha
Efficient Implementation of Total FETI Solver for Graphic Processing Units Using Schur Complement. HPCSE 2015: 85-100 - [c19]Max Rietmann, Daniel Peter
Load-Balanced Local Time Stepping for Large-Scale Wave Propagation. IPDPS 2015: 925-935 - [c18]Arne De Coninck, Drosos Kourounis, Fabio Verbosio
Towards Parallel Large-Scale Genomic Prediction by Coupling Sparse and Dense Matrix Algebra. PDP 2015: 747-750 - [i3]Christian Lengauer, Matthias Bolten, Robert D. Falgout, Olaf Schenk:
Advanced Stencil-Code Engineering (Dagstuhl Seminar 15161). Dagstuhl Reports 5(4): 56-75 (2015) - 2014
- [j23]Cosmin G. Petra, Olaf Schenk
Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers. Comput. Sci. Eng. 16(5): 32-42 (2014) - [j22]Giorgios Kollias, Madan Sathe, Olaf Schenk
Fast parallel algorithms for graph similarity and matching. J. Parallel Distributed Comput. 74(5): 2400-2410 (2014) - [j21]Costas Bekas, Ananth Grama, Yousef Saad
Parallel matrix algorithms. Parallel Comput. 40(7): 159-160 (2014) - [j20]Cosmin G. Petra, Olaf Schenk
An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization. SIAM J. Sci. Comput. 36(2) (2014) - [j19]Marcus J. Grote, Johannes Huber, Drosos Kourounis, Olaf Schenk
Inexact Interior-Point Method for PDE-Constrained Nonlinear Optimization. SIAM J. Sci. Comput. 36(3) (2014) - 2013
- [c17]Andrey Kuzmin, Mathieu Luisier, Olaf Schenk
Fast Methods for Computing Selected Elements of the Green's Function in Massively Parallel Nanoelectronic Device Simulations. Euro-Par 2013: 533-544 - 2012
- [j18]Frank E. Curtis
A note on the implementation of an interior-point algorithm for nonlinear optimization with inexact step computations. Math. Program. 136(1): 209-227 (2012) - [j17]Madan Sathe, Olaf Schenk
An auction-based weighted matching implementation on massively parallel architectures. Parallel Comput. 38(12): 595-614 (2012) - [c16]Matthias Christen, Olaf Schenk
Patus for convenient high-performance stencils: evaluation in earthquake simulations. SC 2012: 11 - [c15]Max Rietmann, Peter Messmer, Tarje Nissen-Meyer
Forward and adjoint simulations of seismic wave propagation on emerging large-scale GPU architectures. SC 2012: 38 - [c14]Matthias Christen, Olaf Schenk
A Performance Study of an Anelastic Wave Propagation Code Using Auto-tuned Stencil Computations. ICCS 2012: 956-965 - 2011
- [j16]Matthias Christen, Olaf Schenk
Automatic code generation and tuning for stencil kernels on modern shared memory architectures. Comput. Sci. Res. Dev. 26(3-4): 205-210 (2011) - [j15]Peter Arbenz
Special issue on Parallel Matrix Algorithms and Applications (PMAA'10). Parallel Comput. 37(12): 731-732 (2011) - [c13]Matthias Christen, Olaf Schenk
PATUS: A Code Generation and Autotuning Framework for Parallel Iterative Stencil Computations on Modern Microarchitectures. IPDPS 2011: 676-687 - [c12]Marcus J. Grote, Johannes Huber, Olaf Schenk
Interior Point Methods for the Inverse Medium Problem on Massively Parallel Architectures. ICCS 2011: 1466-1474 - [r1]Olaf Schenk, Klaus Gärtner:
PARDISO. Encyclopedia of Parallel Computing 2011: 1458-1464 - 2010
- [j14]Frank E. Curtis
An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations. SIAM J. Sci. Comput. 32(6): 3447-3475 (2010) - [p1]Matthias Christen, Olaf Schenk, Esra Neufeld, Maarten M. Paulides, Helmar Burkhart:
Manycore Stencil Computations in Hyperthermia Applications. Scientific Computing with Multicore and Accelerators 2010: 255-277
2000 – 2009
- 2009
- [j13]Olaf Schenk
Parallel scalable PDE-constrained optimization: antenna identification in hyperthermia cancer treatment planning. Comput. Sci. Res. Dev. 23(3-4): 177-183 (2009) - [j12]Matthias Bollhöfer
Algebraic Multilevel Preconditioner for the Helmholtz Equation in Heterogeneous Media. SIAM J. Sci. Comput. 31(5): 3781-3805 (2009) - [c11]Madan Sathe, Olaf Schenk
Solving Bi-objective Many-Constraint Bin Packing Problems in Automobile Sheet Metal Forming Processes. EMO 2009: 246-260 - [c10]Murat Manguoglu, Ahmed H. Sameh, Olaf Schenk
PSPIKE: A Parallel Hybrid Sparse Linear System Solver. Euro-Par 2009: 797-808 - [c9]Matthias Christen, Olaf Schenk
Parallel data-locality aware stencil computations on modern micro-architectures. IPDPS 2009: 1-10 - [e1]Uwe Naumann, Olaf Schenk, Horst D. Simon, Sivan Toledo:
Combinatorial Scientific Computing, 01.02. - 06.02.2009. Dagstuhl Seminar Proceedings 09061, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [i2]Uwe Naumann, Olaf Schenk, Horst D. Simon, Sivan Toledo:
09061 Abstracts Collection - Combinatorial Scientific Computing. Combinatorial Scientific Computing 2009 - 2008
- [j11]Olaf Schenk
Algorithmic performance studies on graphics processing units. J. Parallel Distributed Comput. 68(10): 1360-1369 (2008) - [j10]Olaf Schenk
On Large-Scale Diagonalization Techniques for the Anderson Model of Localization. SIAM Rev. 50(1): 91-112 (2008) - [j9]Olaf Schenk
Inertia-Revealing Preconditioning For Large-Scale Nonconvex Constrained Optimization. SIAM J. Sci. Comput. 31(2): 939-960 (2008) - [i1]Olaf Schenk, Helmar Burkhart, Hema Reddy:
Towards Personalized Medicine: High-Performance Computing in the Life Sciences. ERCIM News 2008(74) (2008) - 2007
- [j8]Olaf Schenk
Matching-based preprocessing algorithms to the solution of saddle-point problems in large-scale nonconvex interior-point optimization. Comput. Optim. Appl. 36(2-3): 321-341 (2007) - 2006
- [j7]Michael Hagemann, Olaf Schenk
Weighted Matchings for Preconditioning Symmetric Indefinite Linear Systems. SIAM J. Sci. Comput. 28(2): 403-420 (2006) - [j6]Olaf Schenk
On Large-Scale Diagonalization Techniques for the Anderson Model of Localization. SIAM J. Sci. Comput. 28(3): 963-983 (2006) - 2005
- [j5]Peter Arbenz
Special section: SPEEDUP Workshop on Modern algorithms in computational science and information technology. Future Gener. Comput. Syst. 21(8): 1249-1250 (2005) - [c8]Polina V. Banushkina, Olaf Schenk, Markus Meuwly:
Efficiency Considerations in Solving Smoluchowski Equations for Rough Potentials. CompLife 2005: 208-216 - 2004
- [j4]Olaf Schenk
Solving unsymmetric sparse systems of linear equations with PARDISO. Future Gener. Comput. Syst. 20(3): 475-487 (2004) - [j3]Olaf Schenk
The effects of unsymmetric matrix permutations and scalings in semiconductor device and circuit simulation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 23(3): 400-411 (2004) - [c7]Karl Fürlinger, Olaf Schenk, Michael Hagemann:
Task-Queue Based Hybrid Parallelism: A Case Study. Euro-Par 2004: 624-631 - [c6]Stefan Röllin, Olaf Schenk:
Maximum-Weighted Matching Strategies and the Application to Symmetric Indefinite Systems. PARA 2004: 808-817 - 2002
- [j2]Olaf Schenk
Two-level dynamic scheduling in PARDISO: Improved scalability on shared memory multiprocessing systems . Parallel Comput. 28(2): 187-197 (2002) - [c5]Olaf Schenk, Klaus Gärtner:
Solving Unsymmetric Sparse Systems of Linear Equations with PARDISO. International Conference on Computational Science (2) 2002: 355-363 - 2001
- [j1]Olaf Schenk
PARDISO: a high-performance serial and parallel sparse linear solver in semiconductor device simulation. Future Gener. Comput. Syst. 18(1): 69-78 (2001) - [c4]Olaf Schenk, Klaus Gärtner:
Sparse Factorization with Two Level Scheduling in PARDISO. PP 2001 - 2000
- [b1]Olaf Schenk:
Scalable parallel sparse LU factorization methods on shared memory multiprocessors. ETH Zurich, Zürich, Switzerland, Hartung-Gorre 2000, ISBN 978-3-89649-532-7, pp. 1-130
1990 – 1999
- 1999
- [c3]Olaf Schenk, Klaus Gärtner, Wolfgang Fichtner:
Scalable Parallel Sparse Factorization with Left-Right Looking Strategy on Shared Memory Multoprocessors. HPCN Europe 1999: 221-230 - [c2]Olaf Schenk
Application of Parallel Sparse Direct Methods in Semiconductor Device and Process Simulation. ISHPC 1999: 206-219 - 1994
- [c1]Hans-Peter Kersken, B. Fritzsch, Olaf Schenk, Wolfgang Hiller, Jörn Behrens, E. Krauße:
Parallelization of Large Scale Ocean Models by Data Decomposition. HPCN 1994: 323-328
Coauthor Index
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