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ORCIDLuke N. Olson
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former, PhD 2003): University of Colorado at Boulder, CO, USA
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2020 – today
- 2024
[j42]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)- [j41]Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing Lloyd's Algorithm for Graph Clustering. SIAM J. Sci. Comput. 46(5): 2819- (2024) - [c17]Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West:
Learning from Integral Losses in Physics Informed Neural Networks. ICML 2024 - [i30]Lukas Spies, Luke N. Olson, Scott P. MacLachlan:
Exploiting mesh structure to improve multigrid performance for saddle point problems. CoRR abs/2401.06277 (2024) - [i29]Alexey Voronin, Graham Harper, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro:
Monolithic Multigrid Preconditioners for High-Order Discretizations of Stokes Equations. CoRR abs/2407.07253 (2024) - [i28]Seung Won Suh, Jonathan F. MacArt, Luke N. Olson, Jonathan B. Freund:
A TVD neural network closure and application to turbulent combustion. CoRR abs/2408.03413 (2024) - 2023
- [j40]Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Coarse-grid selection using simulated annealing. J. Comput. Appl. Math. 431: 115263 (2023) - [j39]Nathan Bell, Luke N. Olson, Jacob B. Schroder, Ben S. Southworth:
PyAMG: Algebraic Multigrid Solvers in Python. J. Open Source Softw. 8(88): 5495 (2023) - [j38]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: 103021 (2023) - [j37]Carlo Janna, Andrea Franceschini, Jacob B. Schroder, Luke N. Olson:
Parallel Energy-Minimization Prolongation for Algebraic Multigrid. SIAM J. Sci. Comput. 45(5): 2561- (2023) - [j36]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): 2:1-2:25 (2023) - [c16]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: 33381-33395 - [i27]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 abs/2301.11378 (2023) - [i26]Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing Lloyd's algorithm for graph clustering. CoRR abs/2303.01667 (2023) - [i25]Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West:
Learning from Integral Losses in Physics Informed Neural Networks. CoRR abs/2305.17387 (2023) - [i24]Alexey Voronin, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro:
Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations. CoRR abs/2306.06795 (2023) - 2022
- [j35]Nathan Bell, Luke N. Olson, Jacob B. Schroder:
PyAMG: Algebraic Multigrid Solvers in Python. J. Open Source Softw. 7(72): 4142 (2022) - [j34]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) - [j33]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: 102973 (2022) - [c15]Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Learning Interface Conditions in Domain Decomposition Solvers. NeurIPS 2022 - [c14]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. PP 2022: 49-59 - [i23]Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson:
Performance Analysis and Optimal Node-Aware Communication for Enlarged Conjugate Gradient Methods. CoRR abs/2203.06144 (2022) - [i22]Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Learning Interface Conditions in Domain Decomposition Solvers. CoRR abs/2205.09833 (2022) - [i21]Peter Sentz, Jehanzeb Hameed Chaudhry, Luke N. Olson:
On Computing Coercivity Constants in Linear Variational Problems Through Eigenvalue Analysis. CoRR abs/2205.11580 (2022) - [i20]Carlo Janna, Andrea Franceschini, Jacob B. Schroder, Luke N. Olson:
Parallel Energy-Minimization Prolongation for Algebraic Multigrid. CoRR abs/2208.02995 (2022) - [i19]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 abs/2209.06141 (2022) - [i18]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 abs/2212.05159 (2022) - [i17]Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing Reduction-Based Algebraic Multigrid. CoRR abs/2212.08371 (2022) - 2021
- [j32]Jehanzeb H. Chaudhry, Luke N. Olson, Peter Sentz:
A Least-Squares Finite Element Reduced Basis Method. SIAM J. Sci. Comput. 43(2): A1081-A1107 (2021) - [c13]Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart:
Modeling Data Movement Performance on Heterogeneous Architectures. HPEC 2021: 1-7 - [c12]Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. NeurIPS 2021: 12129-12140 - [i16]Alexey Voronin, Yunhui He, Scott P. MacLachlan, Luke N. Olson, Ray Tuminaro:
Low-order preconditioning of the Stokes equations. CoRR abs/2103.11967 (2021) - [i15]Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West:
Coarse-Grid Selection Using Simulated Annealing. CoRR abs/2105.13280 (2021) - [i14]Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. CoRR abs/2106.01854 (2021) - [i13]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 abs/2110.09667 (2021) - [i12]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 abs/2110.10775 (2021) - 2020
- [j31]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) - [j30]Huda Ibeid, Luke N. Olson, William Gropp:
FFT, FMM, and multigrid on the road to exascale: Performance challenges and opportunities. J. Parallel Distributed Comput. 136: 63-74 (2020) - [j29]Andrew Reisner, Markus Berndt, J. David Moulton, Luke N. Olson:
Scalable line and plane relaxation in a parallel structured multigrid solver. Parallel Comput. 100: 102705 (2020) - [i11]Jehanzeb Hameed Chaudhry, Luke N. Olson, Peter Sentz:
A Least-Squares Finite Element Reduced Basis Method. CoRR abs/2003.04555 (2020) - [i10]Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart:
Modeling Data Movement Performance on Heterogeneous Architectures. CoRR abs/2010.10378 (2020)
2010 – 2019
- 2019
- [j28]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) - [j27]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) - [j26]Amanda Bienz, William D. Gropp, Luke N. Olson:
Node aware sparse matrix-vector multiplication. J. Parallel Distributed Comput. 130: 166-178 (2019) - [c11]Huda Ibeid, Siping Meng, Oliver Dobon, Luke N. Olson, William Gropp:
Learning with Analytical Models. IPDPS Workshops 2019: 778-786 - [c10]Einar Horn, Dakota Fulp, Jon Calhoun, Luke N. Olson:
FaultSight: A Fault Analysis Tool for HPC Researchers. FTXS@SC 2019: 21-30 - [i9]Amanda Bienz, Luke N. Olson, William Gropp:
Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication. CoRR abs/1904.05838 (2019) - [i8]Amanda Bienz, Luke N. Olson, William D. Gropp:
Node-Aware Improvements to Allreduce. CoRR abs/1910.09650 (2019) - 2018
- [j25]Natalie N. Beams, Andreas Klöckner, Luke N. Olson:
High-order finite element-integral equation coupling on embedded meshes. J. Comput. Phys. 375: 1295-1313 (2018) - [j24]Andrew Reisner, Luke N. Olson, J. David Moulton:
Scaling Structured Multigrid to 500K+ Cores Through Coarse-Grid Redistribution. SIAM J. Sci. Comput. 40(4): C581-C604 (2018) - [c9]Amanda Bienz, William D. Gropp, Luke N. Olson:
Improving Performance Models for Irregular Point-to-Point Communication. EuroMPI 2018: 7:1-7:8 - [i7]Andrew Reisner, Luke N. Olson, J. David Moulton:
Scaling Structured Multigrid to 500K+ Cores through Coarse-Grid Redistribution. CoRR abs/1803.02481 (2018) - [i6]Amanda Bienz, William D. Gropp, Luke N. Olson:
Improving Performance Models for Irregular Point-to-Point Communication. CoRR abs/1806.02030 (2018) - [i5]Huda Ibeid, Siping Meng, Oliver Dobon, Luke N. Olson, William Gropp:
Learning with Analytical Models. CoRR abs/1810.11772 (2018) - [i4]Huda Ibeid, Luke N. Olson, William Gropp:
FFT, FMM, and Multigrid on the Road to Exascale: performance challenges and opportunities. CoRR abs/1810.11883 (2018) - 2017
- [j23]Zuofu Cheng, Eric Shaffer, Raine Yeh, George Zagaris, Luke N. Olson:
Efficient parallel optimization of volume meshes on heterogeneous computing systems. Eng. Comput. 33(4): 717-726 (2017) - [j22]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) - [c8]Jon Calhoun, Marc Snir, Luke N. Olson, William D. Gropp:
Towards a More Complete Understanding of SDC Propagation. HPDC 2017: 131-142 - 2016
- [j21]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): 103-120 (2016) - [j20]Natalie N. Beams, Luke N. Olson, Jonathan B. Freund:
A Finite Element Based P3M Method for N-Body Problems. SIAM J. Sci. Comput. 38(3) (2016) - [j19]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) - [c7]Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun, Luke N. Olson:
IPAS: intelligent protection against silent output corruption in scientific applications. CGO 2016: 227-238 - [c6]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: 41-50 - [i3]Amanda Bienz, William D. Gropp, Luke N. Olson:
TAPSpMV: Topology-Aware Parallel Sparse Matrix Vector Multiplication. CoRR abs/1612.08060 (2016) - 2015
- [j18]Steven Dalton, Luke N. Olson, Nathan Bell:
Optimizing Sparse Matrix - Matrix Multiplication for the GPU. ACM Trans. Math. Softw. 41(4): 25:1-25:20 (2015) - [c5]Jon Calhoun, Marc Snir, Luke N. Olson, María Jesús Garzarán:
Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply. CLUSTER 2015: 541-542 - [c4]Steven Dalton, Sean Baxter, Duane Merrill, Luke N. Olson, Michael Garland:
Optimizing Sparse Matrix Operations on GPUs Using Merge Path. IPDPS 2015: 407-416 - [c3]Jon Calhoun, Luke N. Olson, Marc Snir, William D. Gropp:
Towards a more fault resilient multigrid solver. SpringSim (HPS) 2015: 1-8 - [i2]Natalie N. Beams, Luke N. Olson, Jonathan B. Freund:
A Finite Element Based P3M Method for N-body Problems. CoRR abs/1503.08509 (2015) - [i1]Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, Jacob B. Schroder:
Reducing Parallel Communication in Algebraic Multigrid through Sparsification. CoRR abs/1512.04629 (2015) - 2014
- [j17]Scott P. MacLachlan, Luke N. Olson:
Theoretical bounds for algebraic multigrid performance: review and analysis. Numer. Linear Algebra Appl. 21(2): 194-220 (2014) - [j16]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): 3085-3105 (2014) - [c2]Jon Calhoun, Luke N. Olson, Marc Snir:
FlipIt: An LLVM Based Fault Injector for HPC. Euro-Par Workshops (1) 2014: 547-558 - 2013
- [c1]Eric Shaffer, Zuofu Cheng, Raine Yeh, George Zagaris, Luke N. Olson:
Efficient GPU-based Optimization of Volume Meshes. PARCO 2013: 285-294 - 2012
- [j15]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): 4892-4902 (2012) - [j14]Nathan Bell, Steven Dalton, Luke N. Olson:
Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods. SIAM J. Sci. Comput. 34(4) (2012) - 2011
- [j13]Luke N. Olson, Jacob B. Schroder:
Smoothed aggregation multigrid solvers for high-order discontinuous Galerkin methods for elliptic problems. J. Comput. Phys. 230(18): 6959-6976 (2011) - [j12]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): 347-364 (2011) - [j11]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): 966-991 (2011) - [j10]James H. Lai, Luke N. Olson:
Algebraic Multigrid for High-Order Hierarchical H(curl) Finite Elements. SIAM J. Sci. Comput. 33(5): 2888-2902 (2011) - 2010
- [j9]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): 1625-1635 (2010) - [j8]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): 3726-3744 (2010) - [j7]Luke N. Olson, Jacob B. Schroder:
Smoothed aggregation for Helmholtz problems. Numer. Linear Algebra Appl. 17(2-3): 361-386 (2010) - [j6]Luke N. Olson, Jacob B. Schroder, Raymond S. Tuminaro:
A new perspective on strength measures in algebraic multigrid. Numer. Linear Algebra Appl. 17(4): 713-733 (2010)
2000 – 2009
- 2008
- [j5]Nathan Bell, Luke N. Olson:
Algebraic multigrid for k-form Laplacians. Numer. Linear Algebra Appl. 15(2-3): 165-185 (2008) - 2007
- [j4]David M. Alber, Luke N. Olson:
Parallel coarse-grid selection. Numer. Linear Algebra Appl. 14(8): 611-643 (2007) - [j3]Luke N. Olson:
Algebraic Multigrid Preconditioning of High-Order Spectral Elements for Elliptic Problems on a Simplicial Mesh. SIAM J. Sci. Comput. 29(5): 2189-2209 (2007) - 2005
- [j2]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): 1573-1597 (2005) - 2004
- [j1]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): 31-54 (2004)
Coauthor Index
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