Katarzyna Swirydowicz
Orcid: 0000-0001-5758-5394Affiliations:
- National Renewable Energy Laboratory, Golden, CO, USA
- Virginia Tech, Department of Mathematics, USA
According to our database1,
Katarzyna Swirydowicz
authored at least 29 papers
between 2015 and 2025.
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Online presence:
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on orcid.org
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Bibliography
2025
Iterative methods in GPU-resident linear solvers for nonlinear constrained optimization.
Parallel Comput., 2025
2024
Advanced Computing is at the Forefront of a New "Moonshot" Revolutionizing the North American Power Grid.
Comput. Sci. Eng., 2024
A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches.
Proceedings of the 36th IEEE International Symposium on Computer Architecture and High Performance Computing, 2024
Proceedings of the 24th IEEE International Symposium on Cluster, 2024
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024
2023
Optim. Methods Softw., March, 2023
GPU-Resident Sparse Direct Linear Solvers for Alternating Current Optimal Power Flow Analysis.
CoRR, 2023
Towards Efficient Alternating Current Optimal Power Flow Analysis on Graphical Processing Units.
Proceedings of the XXIX International Conference on Information, 2023
Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
2022
Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers.
Parallel Comput., 2022
Parallel Comput., 2022
2021
Numer. Linear Algebra Appl., 2021
Int. J. High Perform. Comput. Appl., 2021
Int. J. High Perform. Comput. Appl., 2021
Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster.
CoRR, 2021
2020
Int. J. High Perform. Comput. Appl., 2020
Low-synchronization orthogonalization schemes for <i>s</i>-step and pipelined Krylov solvers in Trilinos.
Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020
2019
J. Comput. Phys., 2019
Int. J. High Perform. Comput. Appl., 2019
2018
CoRR, 2018
2015
J. Comput. Phys., 2015