Advanced Computing Laboratory
Selected Publications
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.
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