Advanced Computing Laboratory
Selected Publications
2026
Refereed Journal Articles
D. V. Rodriguez, S. Omlin, D. Pasadakis, O. Schenk
Generating Architecture-Agnostic Performance Tests from Functional Unit Tests
ACM Trans. Model. Perform. Eval. Comput. Syst., Vol. 11, No. 1-2, Article 1, April 2026.
https://doi.org/10.1145/380109
https://doi.org/10.1145/380109
Refereed Conference Articles
V. Maillou, M. Bollhoefer, O. Schenk, A. N. Ziogas, M. Luisier
Parallel Quadratic Selected Inversion in Quantum Transport Simulation
In Proceedings of the ACM International Conference on Supercomputing, Belfast, 2026.
https://doi.org/10.1145/3797905.3807841
https://doi.org/10.1145/3797905.3807841
M. Lechekhab, D. Pasadakis, R. Käppeli, A. Eftekhari, O. Schenk
GraphLab.jl: A Julia Framework for Graph Partitioning
In Proceedings of the JuliaCon Conferences, Julia Conf’26, pages, 8(85), 196, 2026.
https://doi.org/10.21105/jcon.00196
https://doi.org/10.21105/jcon.00196
2025
Refereed Journal Articles
A. Eftekhari, D. Folini, A. Friedl, F. Kübler, S. Scheidegger, O. Schenk
Building Interpretable Climate Emulators for Economics
The Economic Journal, 2025.
https://doi.org/10.1093/ej/ueaf131
https://doi.org/10.1093/ej/ueaf131
J. Kardos, W. Edeling, D. Suleimenova, D. Groen, and O. Schenk
Sensitivity analysis of high-dimensional models with correlated inputs
Journal of Computational Science, ISSN 1877-7503 Volume 91, 2025.
https://doi.org/10.1016/j.jocs.2025.102681
https://doi.org/10.1016/j.jocs.2025.102681
P. Bouvry, M. Brorsson, R. Canal, A. Eftekhari, S. Hoefinger, D. Smets, H. Koestler, T. Kozubek, E. Krishnasamy, J. Llosa, A. Lukas-Rother, X. Martorell, D. Pleiter, A. Proykova, M. R. Sancho, O. Schenk, C. Silvano
The European master for HPC curriculum
Journal of Parallel and Distributed Computing, Volume 201, 2025..
https://doi.org/10.1016/j.jpdc.2025.105081
https://doi.org/10.1016/j.jpdc.2025.105081
Refereed Conference Articles
X. Niu, G. Meyer, D. Pasadakis, A. J. Yzelman, O. Schenk
Incremental Sparse Tensor Format for Maximizing Efficiency in Tensor-Vector Multiplications
IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), Edinburgh, United Kingdom, 2025, pp. 1-2.
https://doi.org/10.1109/CLUSTERWorkshops65972.2025.11164206
https://doi.org/10.1109/CLUSTERWorkshops65972.2025.11164206
D. Folini, A. Eftekhari, A. Friedl, F. Kübler, S. Scheidegger, O. Schenk
Build your own! From tailored box-model climate emulators to pattern scaling
In Proceedings European Geosciences UnionGeneral Assembly 2025 (EGU25), Vienna, Austria, 2025.
https://doi.org/10.5194/egusphere-egu25-10007
https://doi.org/10.5194/egusphere-egu25-10007
L. Gaedke-Merzhaeuser, V. Maillou, F. R. Avellaneda, O. Schenk, P. Moraga, M. Luisier, A. N. Ziogas, H. Rue
Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes
In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC ’25), in Association for Computing Machinery, New York, NY, USA, 949–972, 2025.
https://doi.org/10.1145/3712285.3759832
https://doi.org/10.1145/3712285.3759832
V. Maillou, L. Gaedke-Merzhäuser, A. Nikolaos Zioga, O. Schenk, and M. Luisier
Parallel Selected Inversion of Block-Tridiagonal with Arrowhead Matrices
In 2025 IEEE International Conference on Cluster Computing (CLUSTER), United Kingdom, 2025, pp. 1-12.
https://doi.org/10.1109/CLUSTER59342.2025.11186484
https://doi.org/10.1109/CLUSTER59342.2025.11186484
H. Rim, J. Kardos, O. Schenk
Forecasting Renewable Energy at European Markets
In Proceedings SIGENERGY Energy Inform., Rev. 4, pp. 187–189, 2024.
https://doi.org/10.1145/3717413.3717430
https://doi.org/10.1145/3717413.3717430
2024
Refereed Journal Articles
A. Eftekhari, L. Gaedke-Merzhäuser, D. Pasadakis, M. Bollhöfer, S. Scheidegger, O. Schenk
Algorithm 1042: Sparse Precision Matrix Estimation with SQUIC
ACM Transactions on Mathematical Software, Volume 50, Issue 2, 2024.
https://doi.org/10.1145/365010
https://doi.org/10.1145/365010
L. Gaedke-Merzhaeuser, E. Krainski, R. Janalik, and H. Rue, H and O. Schenk
Integrated Nested Laplace Approximations for Large-Scale Spatio-temporal Bayesian Modeling
SIAM Journal on Scientific Computing, vol. 46, no. 4, pp. B448-B473, 2024.
https://doi.org/10.1137/23M1561531
https://doi.org/10.1137/23M1561531
H. Harbrecht, M. Multerer, O. Schenk, C. Schwab
Multiresolution kernel matrix algebra
Numerische Mathematik, Volume 156, pages 1085–1114, 2024.
https://doi.org/10.1007/s00211-024-01409-8
https://doi.org/10.1007/s00211-024-01409-8
E. Vecchi, J. Kardoš, M. Lechekhab, A. Waechter, I. Horenko, O. Schenk
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning
Journal of Computational Science, Volume 76, 2024.
https://doi.org/10.1016/j.jocs.2024.102208
https://doi.org/10.1016/j.jocs.2024.102208
Refereed Conference Articles
M. Lechekhab, D. Pasadakis, O. Schenk
Multilevel Diffusion Based Spectral Graph Clustering
IEEE High Performance Extreme Computing Conference (HPEC), Wakefield, MA, USA, 2024, pp. 1-7.
https://doi.org/10.1109/HPEC62836.2024.10938528
https://doi.org/10.1109/HPEC62836.2024.10938528
J. Schmidt, D. Pasadakis, M. Sathe, O. Schenk
GAMLNet: a graph based framework for the detection of money laundering
1th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 2024, pp. 241-245.
https://doi.org/10.1109/SDS60720.2024.00043
https://doi.org/10.1109/SDS60720.2024.00043
H. Rim, O. Schenk, J. Kardoš
Forecasting Renewable Energy at European Markets
3th DACH+ Conference on Energy Informatics, ACM SIGEnergy Energy Informatics Review, Lugano, Switzerland, October 9-11, 2024.
T. A. B. Holt, S. Abhyankar, T. Kuruganti, O. Schenk, S. Peles
Data-Driven Unit Commitment Refinement - a Scalable Approach for Complex Modern Power Grids
The Hawaii International Conference on System Sciences, HICSS 2024, University of Hawaii. January 2-6, 2024
2023
Refereed Journal Articles
D. Pasadakis, M. Bollhoefer, O. Schenk
Sparse Quadratic Approximation for Graph Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
April 2023, pages 1-20,
https://www.computer.org/csdl/journal/tp
, accepted, in press.
Refereed Conference Articles
Jami J., Kardoš J., Schenk O., Koestler H.
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study
ISGT 2023. Innovative Smart Grid Technologies Conference. Université Grenoble Alpes, France. October 23rd-26th, 2023.
Pasadakis D., Schenk O., Vlacic V. ., Yzelman A. J.
Nonlinear Spectral Clustering with C++ GraphBLAS.
27th Annual IEEE High Performance Extreme Computing Conference, IEEE HPEC 2023, 25 - 29 September 2023.
2022
Refereed Journal Articles
L. Gaedke-Merzhäuser, J. Van Niekerk, O. Schenk, H. Rue
Parallelized integrated nested Laplace approximations for fast Bayesian inference
Statistics and Computing, December 2022, pages 1-20,
https://www.springer.com/journal/11222
, accepted, in press.
I. Horenko, E. Vecchi , J. Kardoš, O. Schenk, A. Waechter, T. O’Kane, P. Gagliardini, S. Gerber
On cheap entropy-sparsified regression learning
Proceedings of the National Academy of Sciences (PNAS), November 2022, pages 1-13,
https://www.pnas.org/
, accepted, in press.
C. Alappat, G. Hager, O. Schenk and G. Wellein
Level-based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication
IEEE Transactions on Parallel and Distributed Systems, November 2022, pages 1-18,
https://doi.org/10.1109/TPDS.2022.3223512
J. Kardos, T. Holt, V. Fazio, L. Fabietti, F. Spazzini, O. Schenk
Massively Parallel Data Analytics for Smart Grid Applications
Sustainable Energy, Grids and Networks, June 2022, pages 1-17,
doi.org/10.1016/j.segan.2022.100789
D. Pasadakis, M. Bollhoefer, O. Schenk
Sparse Quadratic Approximation for Graph Learning
TechRxiv, April 2022, pages 1-12,
doi.org/10.36227/techrxiv.19635990.v1
A. Eftekhari, L. Gaedke-Merzhäuser, D. Pasadakis, M. Bollhoefer, S. Scheidegge, O. Schenk
Large-Scale Precision Matrix Estimation With SQUIC
Social Science Research Network, Elsevier, 2022, Pages 1-15,
doi.org/10.2139/ssrn.3904001
2021
Patent
D. Kourounis, O. Schenk
Processing of Multiperiod Optimal Power Flow Problems using Structure-Exploiting
Patent Interior Point Methods
US Patent number 11,080,362, July 2021
Refereed Conference Articles
T. A. Holt, J. Kardoš, V. Fazio, L. Fabietti, F. Spazzini, O. Schenk
High-Performance Data Analytics Techniques for
Power Markets Simulation
2021 International Conference on Smart Energy Systems and Technologies (SEST) Mon, Sep 6, 2021 – Wed, Sep 8, 2021, doi: 10.1109/SEST50973.2021.9543110
Refereed Journal Articles
M. Bollhöfer, O. Schenk, F. Verbosio
High Performance Block Incomplete LU Factorization
Applied Numerical Mathematics, Volume 162, April 2021, Pages 265-282, doi.org/10.1016/j.apnum.2020.12.023
A. Eftekhari, D. Pasadakis, S. Scheidegger, M. Bollhöfer, O. Schenk
Block-Enhanced Precision Matrix Estimation for Large-Scale Datasets
Journal of Computational Science, Volume 53, July 2021, Pages 1-39,
doi.org/10.1016/j.jocs.2021.101389
D. Pasadakis, C. L. Alappat, O. Schenk, G. Wellein
Multiway p-spectral graph cuts on Grassmann manifolds
Machine Learning, November 2021, Pages 1-39,
doi.org/10.1007/s10994-021-06108-1
J. van Niekerk, H. Bakka, H. Rue, and O. Schenk
New frontiers in Bayesian modeling using the INLA package
Journal of Statistical Software, November 2021, Pages 1-39,
doi.org/
10.18637/jss.v100.i02
2020
Refereed Journal Articles
P. Arbenz, L. Giraud, O. Schenk.W. Vanroose
Guest editorial: Special Issue on Parallel Matrix Algorithms and Applications (PMAA’18)
Parallel Computing, Volume 84, December 2020, Pages 1-2
doi.org/10.1016/j.parco.2018.01.003
P. Sanan, D. May, B. Bollhöfer, O. Schenk
Pragmatic Solvers for 3D Stokes and Elasticity Problems with Heterogeneous Coefficients: Evaluating Modern Incomplete LDLT Preconditioners
Solid Earth Discussions, 1-23, 2020,
doi.org/10.5194/se-2020-79
A. Klawonn, M. Lanser, M. Uran, O. Rheinbach, S. Köhler, J. Schröder, L. Scheunemann, D. Brands, D. Balzani, A. Gandhi, G. Wellein, M. Wittmann, O. Schenk, R. Janalík
Towards A Virtual Laboratory - Computation of Forming Limit Curves
In: Bungartz HJ., Reiz S., Uekermann B., Neumann P., Nagel W. (eds) Software for Exascale Computing - SPPEXA 2016-2019. Lecture Notes in Computational Science and Engineering, vol 136. Springer, Cham,
doi.org/10.1007/978-3-030-47956-5_13
J. Kardos, D. Kourounis, and O. Schenk
Two-Level Parallel Augmented Schur Complement Interior-Point Algorithms for the Solution of Security Constrained Optimal Power Flow Problems
IEEE Transactions on Power Systems, 1340 - 1350, Volume: 35 , Issue: 2 , March 2020,
doi.org/10.1109/TPWRS.2019.2942964
C. Alappat, G. Hager, O. Schenk, J. Thies, A. Basermann, A. Bischop, H. Fehske, G. Wellein
A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication
ACM Transactions on Parallel Computing, Vol. 7, No. 3, Article 19, June 2020
doi.org/10.1145/3399732
2019
Refereed Journal Articles
M. Bollhoefer, A. Eftekhari, S. Scheidegger, and O. Schenk
Large-Scale Sparse Inverse Covariance Matrix Estimation
SIAM J. Sci. Comput., 41(1), A380–A401, January 2019, DOI:
doi.org/10.1137/17M1147615
Book Contributions
M. Bollhöfer, O. Schenk , R. Janalik, S. Hamm, and K. Gullapalli
State-of-The-Art Sparse Direct Solvers
In: Grama A., Sameh A. (eds) Parallel Algorithms in Computational Science and Engineering. Modeling and Simulation in Science, Engineering and Technology. pp 1-32, Birkhäuser, Cham.
doi.org/10.1007/978-3-030-43736-7_1
J. Kardos, D. Kourounis, and O. Schenk
Parallel Structure Exploiting Interior Point Methods
In: Grama A., Sameh A. (eds) Parallel Algorithms in Computational Science and Engineering. Modeling and Simulation in Science, Engineering and Technology. pp 63-93, Birkhäuser, Cham.
doi.org/10.1007/978-3-030-43736-7_3