Luke N. Olson
Orcid: 0000-0002-5283-6104Affiliations:
- University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- University of Colorado at Boulder, CO, USA (former, PhD 2003)
According to our database1,
Luke N. Olson
authored at least 67 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
Numer. Linear Algebra Appl., May, 2024
Exploiting mesh structure to improve multigrid performance for saddle point problems.
CoRR, 2024
2023
SIAM J. Sci. Comput., October, 2023
Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods.
ACM Trans. Parallel Comput., March, 2023
Characterizing the performance of node-aware strategies for irregular point-to-point communication on heterogeneous architectures.
Parallel Comput., 2023
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods.
Proceedings of the International Conference on Machine Learning, 2023
2022
Tausch: A halo exchange library for large heterogeneous computing systems using MPI, OpenCL, and CUDA.
Parallel Comput., 2022
CoRR, 2022
On Computing Coercivity Constants in Linear Variational Problems Through Eigenvalue Analysis.
CoRR, 2022
Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers.
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
2020
Parallel Comput., 2020
FFT, FMM, and multigrid on the road to exascale: Performance challenges and opportunities.
J. Parallel Distributed Comput., 2020
Reducing communication in algebraic multigrid with multi-step node aware communication.
Int. J. High Perform. Comput. Appl., 2020
2019
J. Parallel Distributed Comput., 2019
A massively scalable distributed multigrid framework for nonlinear marine hydrodynamics.
Int. J. High Perform. Comput. Appl., 2019
Int. J. High Perform. Comput. Appl., 2019
Proceedings of the 9th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2019
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019
2018
SIAM J. Sci. Comput., 2018
J. Comput. Phys., 2018
Proceedings of the 25th European MPI Users' Group Meeting, 2018
2017
Eng. Comput., 2017
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017
2016
SIAM J. Sci. Comput., 2016
SIAM J. Sci. Comput., 2016
A hybrid format for better performance of sparse matrix-vector multiplication on a GPU.
Int. J. High Perform. Comput. Appl., 2016
Modeling MPI Communication Performance on SMP Nodes: Is it Time to Retire the Ping Pong Test.
Proceedings of the 23rd European MPI Users' Group Meeting, EuroMPI 2016, 2016
IPAS: intelligent protection against silent output corruption in scientific applications.
Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016
2015
ACM Trans. Math. Softw., 2015
Proceedings of the Symposium on High Performance Computing, 2015
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
2014
SIAM J. Numer. Anal., 2014
Numer. Linear Algebra Appl., 2014
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014
2013
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
2012
SIAM J. Sci. Comput., 2012
A weighted adaptive least-squares finite element method for the Poisson-Boltzmann equation.
Appl. Math. Comput., 2012
2011
SIAM J. Sci. Comput., 2011
SIAM J. Sci. Comput., 2011
J. Sci. Comput., 2011
Smoothed aggregation multigrid solvers for high-order discontinuous Galerkin methods for elliptic problems.
J. Comput. Phys., 2011
2010
Numer. Linear Algebra Appl., 2010
A first-order system least-squares finite element method for the Poisson-Boltzmann equation.
J. Comput. Chem., 2010
2008
2007
Algebraic Multigrid Preconditioning of High-Order Spectral Elements for Elliptic Problems on a Simplicial Mesh.
SIAM J. Sci. Comput., 2007
2005
Numerical Conservation Properties of H(div)-Conforming Least-Squares Finite Element Methods for the Burgers Equation.
SIAM J. Sci. Comput., 2005
2004
Least-Squares Finite Element Methods and Algebraic Multigrid Solvers for Linear Hyperbolic PDEs.
SIAM J. Sci. Comput., 2004