Luke N. Olson

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 53

Top Topics

Finite Element Methods

Top Venues

SIAM J. Sci. Comput.

Int. J. High Perform. Comput. Appl.

Numer. Linear Algebra Appl.

Publications

Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing reduction-based algebraic multigrid. Numer. Linear Algebra Appl. 31 (3) (2024)
Lukas Spies, Luke N. Olson, Scott P. MacLachlan
Exploiting mesh structure to improve multigrid performance for saddle point problems. CoRR (2024)
Alexey Voronin, Graham Harper, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro
Monolithic Multigrid Preconditioners for High-Order Discretizations of Stokes Equations. CoRR (2024)
Ali Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. CoRR (2023)
Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson
Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods. ACM Trans. Parallel Comput. 10 (1) (2023)
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. ICML (2023)
Nathan Bell, Luke N. Olson, Jacob B. Schroder, Ben S. Southworth
PyAMG: Algebraic Multigrid Solvers in Python. J. Open Source Softw. 8 (88) (2023)
Alexey Voronin, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro
Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations. CoRR (2023)
Carlo Janna, Andrea Franceschini, Jacob B. Schroder, Luke N. Olson
Parallel Energy-Minimization Prolongation for Algebraic Multigrid. SIAM J. Sci. Comput. 45 (5) (2023)
Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West
Learning from Integral Losses in Physics Informed Neural Networks. CoRR (2023)
Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
Coarse-grid selection using simulated annealing. J. Comput. Appl. Math. 431 (2023)
Shelby Lockhart, Amanda Bienz, William D. Gropp, Luke N. Olson
Characterizing the performance of node-aware strategies for irregular point-to-point communication on heterogeneous architectures. Parallel Comput. 116 (2023)
Tareq Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing Lloyd's algorithm for graph clustering. CoRR (2023)
Ali Taghibakhshi, Nicolas Nytko, Tareq Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
Learning Interface Conditions in Domain Decomposition Solvers. CoRR (2022)
Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation. CoRR (2022)
Carlo Janna, Andrea Franceschini, Jacob B. Schroder, Luke N. Olson
Parallel Energy-Minimization Prolongation for Algebraic Multigrid. CoRR (2022)
Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson
Performance Analysis and Optimal Node-Aware Communication for Enlarged Conjugate Gradient Methods. CoRR (2022)
Alexey Voronin, Yunhui He, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro
Low-order preconditioning of the Stokes equations. Numer. Linear Algebra Appl. 29 (3) (2022)
Tareq Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Generalizing Reduction-Based Algebraic Multigrid. CoRR (2022)
Nathan Bell, Luke N. Olson, Jacob B. Schroder
PyAMG: Algebraic Multigrid Solvers in Python. J. Open Source Softw. 7 (72) (2022)
Lukas Spies, Amanda Bienz, J. David Moulton, Luke N. Olson, Andrew Reisner
Tausch: A halo exchange library for large heterogeneous computing systems using MPI, OpenCL, and CUDA. Parallel Comput. 114 (2022)
Shelby Lockhart, David J. Gardner, Carol S. Woodward, Stephen Thomas, Luke N. Olson
Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers. PPSC (2022)
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
Learning Interface Conditions in Domain Decomposition Solvers. NeurIPS (2022)
Peter Sentz, Jehanzeb Hameed Chaudhry, Luke N. Olson
On Computing Coercivity Constants in Linear Variational Problems Through Eigenvalue Analysis. CoRR (2022)
Shelby Lockhart, Amanda Bienz, William D. Gropp, Luke N. Olson
Characterizing the Performance of Node-Aware Strategies for Irregular Point-to-Point Communication on Heterogeneous Architectures. CoRR (2022)
Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart
Modeling Data Movement Performance on Heterogeneous Architectures. HPEC (2021)
Jehanzeb H. Chaudhry, Luke N. Olson, Peter Sentz
A Least-Squares Finite Element Reduced Basis Method. SIAM J. Sci. Comput. 43 (2) (2021)
Shelby Lockhart, David J. Gardner, Carol S. Woodward, Stephen Thomas, Luke N. Olson
Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers. CoRR (2021)
Alexey Voronin, Yunhui He, Scott MacLachlan, Luke N. Olson, Ray Tuminaro
Low-order preconditioning of the Stokes equations. CoRR (2021)
Peter Sentz, Kristian Beckwith, Eric C. Cyr, Luke N. Olson, Ravi G. Patel
Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks. CoRR (2021)
Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West
Coarse-Grid Selection Using Simulated Annealing. CoRR (2021)
Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. NeurIPS (2021)
Jehanzeb Hameed Chaudhry, Luke N. Olson, Peter Sentz
A Least-Squares Finite Element Reduced Basis Method. CoRR (2020)
Andrew Reisner, Markus Berndt, J. David Moulton, Luke N. Olson
Scalable line and plane relaxation in a parallel structured multigrid solver. Parallel Comput. 100 (2020)
Amanda Bienz, William D. Gropp, Luke N. Olson
Reducing communication in algebraic multigrid with multi-step node aware communication. Int. J. High Perform. Comput. Appl. 34 (5) (2020)
Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart
Modeling Data Movement Performance on Heterogeneous Architectures. CoRR (2020)
Stefan Lemvig Glimberg, Allan Peter Engsig-Karup, Luke N. Olson
A massively scalable distributed multigrid framework for nonlinear marine hydrodynamics. Int. J. High Perform. Comput. Appl. 33 (5) (2019)
Jon C. Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, William D. Gropp
Exploring the feasibility of lossy compression for PDE simulations. Int. J. High Perform. Comput. Appl. 33 (2) (2019)
Amanda Bienz, Luke N. Olson, William D. Gropp
Node-Aware Improvements to Allreduce. CoRR (2019)
Amanda Bienz, William D. Gropp, Luke N. Olson
Node aware sparse matrix-vector multiplication. J. Parallel Distributed Comput. 130 (2019)
Andrew Reisner, Luke N. Olson, J. David Moulton
Scaling Structured Multigrid to 500K+ Cores Through Coarse-Grid Redistribution. SIAM J. Sci. Comput. 40 (4) (2018)
Natalie N. Beams, Andreas Klöckner, Luke N. Olson
High-order finite element-integral equation coupling on embedded meshes. J. Comput. Phys. 375 (2018)
Amanda Bienz, William D. Gropp, Luke N. Olson
Improving Performance Models for Irregular Point-to-Point Communication. EuroMPI (2018)
Amanda Bienz, William D. Gropp, Luke N. Olson
Improving Performance Models for Irregular Point-to-Point Communication. CoRR (2018)
Andrew Reisner, Luke N. Olson, J. David Moulton
Scaling Structured Multigrid to 500K+ Cores through Coarse-Grid Redistribution. CoRR (2018)
Thomas A. Manteuffel, Luke N. Olson, Jacob B. Schroder, Ben S. Southworth
A Root-Node-Based Algebraic Multigrid Method. SIAM J. Sci. Comput. 39 (5) (2017)
Jon Calhoun, Marc Snir, Luke N. Olson, William D. Gropp
Towards a More Complete Understanding of SDC Propagation. HPDC (2017)
Dahai Guo, William Gropp, Luke N. Olson
A hybrid format for better performance of sparse matrix-vector multiplication on a GPU. Int. J. High Perform. Comput. Appl. 30 (1) (2016)
William Gropp, Luke N. Olson, Philipp Samfass
Modeling MPI Communication Performance on SMP Nodes: Is it Time to Retire the Ping Pong Test. EuroMPI (2016)
Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, Jacob B. Schroder
Reducing Parallel Communication in Algebraic Multigrid through Sparsification. SIAM J. Sci. Comput. 38 (5) (2016)
Amanda Bienz, William D. Gropp, Luke N. Olson
TAPSpMV: Topology-Aware Parallel Sparse Matrix Vector Multiplication. CoRR (2016)
Natalie N. Beams, Luke N. Olson, Jonathan B. Freund
M Method for N-Body Problems. SIAM J. Sci. Comput. 38 (3) (2016)
Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun, Luke N. Olson
IPAS: intelligent protection against silent output corruption in scientific applications. CGO (2016)
Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, Jacob B. Schroder
Reducing Parallel Communication in Algebraic Multigrid through Sparsification. CoRR (2015)
Steven Dalton, Luke N. Olson, Nathan Bell
Optimizing Sparse Matrix - Matrix Multiplication for the GPU. ACM Trans. Math. Softw. 41 (4) (2015)
Steven Dalton, Sean Baxter, Duane Merrill, Luke N. Olson, Michael Garland
Optimizing Sparse Matrix Operations on GPUs Using Merge Path. IPDPS (2015)
Natalie N. Beams, Luke N. Olson, Jonathan B. Freund
A Finite Element Based P3M Method for N-body Problems. CoRR (2015)
Jehanzeb Hameed Chaudhry, Eric C. Cyr, Kuo Liu, Thomas A. Manteuffel, Luke N. Olson, Lei Tang
Enhancing Least-Squares Finite Element Methods Through a Quantity-of-Interest. SIAM J. Numer. Anal. 52 (6) (2014)
Scott P. MacLachlan, Luke N. Olson
Theoretical bounds for algebraic multigrid performance: review and analysis. Numer. Linear Algebra Appl. 21 (2) (2014)
Nathan Bell, Steven Dalton, Luke N. Olson
Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods. SIAM J. Sci. Comput. 34 (4) (2012)
Jehanzeb Hameed Chaudhry, Stephen D. Bond, Luke N. Olson
A weighted adaptive least-squares finite element method for the Poisson-Boltzmann equation. Appl. Math. Comput. 218 (9) (2012)
Jehanzeb Hameed Chaudhry, Stephen D. Bond, Luke N. Olson
Finite Element Approximation to a Finite-Size Modified Poisson-Boltzmann Equation. J. Sci. Comput. 47 (3) (2011)
James H. Lai, Luke N. Olson
Algebraic Multigrid for High-Order Hierarchical H(curl) Finite Elements. SIAM J. Sci. Comput. 33 (5) (2011)
Luke N. Olson, Jacob B. Schroder, Raymond S. Tuminaro
A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization. SIAM J. Sci. Comput. 33 (2) (2011)
Luke N. Olson, Jacob B. Schroder
Smoothed aggregation multigrid solvers for high-order discontinuous Galerkin methods for elliptic problems. J. Comput. Phys. 230 (18) (2011)
Luke N. Olson, Jacob B. Schroder, Raymond S. Tuminaro
A new perspective on strength measures in algebraic multigrid. Numer. Linear Algebra Appl. 17 (4) (2010)
Hong Zhao, Amir H. G. Isfahani, Luke N. Olson, Jonathan B. Freund
A spectral boundary integral method for flowing blood cells. J. Comput. Phys. 229 (10) (2010)
Luke N. Olson, Jacob B. Schroder
Smoothed aggregation for Helmholtz problems. Numer. Linear Algebra Appl. 17 (2-3) (2010)
Stephen D. Bond, Jehanzeb Hameed Chaudhry, Eric C. Cyr, Luke N. Olson
A first-order system least-squares finite element method for the Poisson-Boltzmann equation. J. Comput. Chem. 31 (8) (2010)
Nathan Bell, Luke N. Olson
-form Laplacians. Numer. Linear Algebra Appl. 15 (2-3) (2008)
David M. Alber, Luke N. Olson
Parallel coarse-grid selection. Numer. Linear Algebra Appl. 14 (8) (2007)
Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Luke N. Olson
Numerical Conservation Properties of H(div)-Conforming Least-Squares Finite Element Methods for the Burgers Equation. SIAM J. Sci. Comput. 26 (5) (2005)
Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Luke N. Olson
Least-Squares Finite Element Methods and Algebraic Multigrid Solvers for Linear Hyperbolic PDEs. SIAM J. Sci. Comput. 26 (1) (2004)