Luke N. Olson - RankMe

98 papers A* 4A 3C 3Journal 81Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A TVD neural network closure and application to turbulent combustion. J. Comput. Phys. Seung Won Suh, Jonathan F. MacArt, Luke N. Olson, Jonathan B. Freund
2025	J	`jnl`	Corrigendum to "A TVD neural network closure and application to turbulent combustion" [Journal of Computational Physics 523 (2025)/113638]. J. Comput. Phys. Seung Won Suh, Jonathan F. MacArt, Luke N. Olson, Jonathan B. Freund
2025	J	`jnl`	Exploiting mesh structure to improve multigrid performance for saddle-point problems. Int. J. High Perform. Comput. Appl. Lukas Spies, Luke N. Olson, Scott P. MacLachlan
2025	J	`jnl`	MIRGE: An Array-Based Computational Framework for Scientific Computing. CoRR Matthias Diener, Matthew J. Smith, Michael T. Campbell, Kaushik Kulkarni, Michael J. Anderson, Andreas Klöckner, William Gropp, Jonathan B. Freund, Luke N. Olson
2025	J	`jnl`	Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations. SIAM J. Sci. Comput. Alexey Voronin, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro
2025	J	`jnl`	Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation. SIAM J. Sci. Comput. Nicolas Nytko, Ali Taghibakhshi, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2025	J	`jnl`	Teaching An Old Dog New Tricks: Porting Legacy Code to Heterogeneous Compute Architectures With Automated Code Translation. CoRR Nicolas Nytko, Andrew Reisner, J. David Moulton, Luke N. Olson, Matthew West
2025	J	`jnl`	Teaching an old dog new tricks: Porting legacy code to heterogeneous compute architectures with automated code translation. Int. J. High Perform. Comput. Appl. Nicolas Nytko, Andrew Reisner, J. David Moulton, Luke N. Olson, Matthew West
2025	J	`jnl`	Unstructured to structured: geometric multigrid on complex geometries via domain remapping. CoRR Nicolas Nytko, Scott P. MacLachlan, J. David Moulton, Luke N. Olson, Andrew Reisner, Matthew West
2024	J	`jnl`	A TVD neural network closure and application to turbulent combustion. CoRR Seung Won Suh, Jonathan F. MacArt, Luke N. Olson, Jonathan B. Freund
2024	J	`jnl`	Exploiting mesh structure to improve multigrid performance for saddle point problems. CoRR Lukas Spies, Luke N. Olson, Scott P. MacLachlan
2024	J	`jnl`	Generalizing Lloyd's Algorithm for Graph Clustering. SIAM J. Sci. Comput. Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2024	J	`jnl`	Generalizing reduction-based algebraic multigrid. Numer. Linear Algebra Appl. Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2024	A*	`conf`	Learning from Integral Losses in Physics Informed Neural Networks. ICML Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West
2024	J	`jnl`	Monolithic Multigrid Preconditioners for High-Order Discretizations of Stokes Equations. CoRR Alexey Voronin, Graham Harper, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro
2023	J	`jnl`	Characterizing the performance of node-aware strategies for irregular point-to-point communication on heterogeneous architectures. Parallel Comput. Shelby Lockhart, Amanda Bienz, William D. Gropp, Luke N. Olson
2023	J	`jnl`	Coarse-grid selection using simulated annealing. J. Comput. Appl. Math. Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2023	J	`jnl`	Generalizing Lloyd's algorithm for graph clustering. CoRR Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2023	J	`jnl`	Learning from Integral Losses in Physics Informed Neural Networks. CoRR Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West
2023	A*	`conf`	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. ICML Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2023	J	`jnl`	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. CoRR Ali Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2023	J	`jnl`	Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations. CoRR Alexey Voronin, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro
2023	J	`jnl`	Parallel Energy-Minimization Prolongation for Algebraic Multigrid. SIAM J. Sci. Comput. Carlo Janna, Andrea Franceschini, Jacob B. Schroder, Luke N. Olson
2023	J	`jnl`	Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods. ACM Trans. Parallel Comput. Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson
2023	J	`jnl`	PyAMG: Algebraic Multigrid Solvers in Python. J. Open Source Softw. Nathan Bell, Luke N. Olson, Jacob B. Schroder, Ben S. Southworth
2022	J	`jnl`	Characterizing the Performance of Node-Aware Strategies for Irregular Point-to-Point Communication on Heterogeneous Architectures. CoRR Shelby Lockhart, Amanda Bienz, William D. Gropp, Luke N. Olson
2022	J	`jnl`	Generalizing Reduction-Based Algebraic Multigrid. CoRR Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2022	A*	`conf`	Learning Interface Conditions in Domain Decomposition Solvers. NeurIPS Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2022	J	`jnl`	Learning Interface Conditions in Domain Decomposition Solvers. CoRR Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West
2022	J	`jnl`	Low-order preconditioning of the Stokes equations. Numer. Linear Algebra Appl. Alexey Voronin, Yunhui He, Scott P. MacLachlan, Luke N. Olson, Raymond S. Tuminaro
2022	J	`jnl`	On Computing Coercivity Constants in Linear Variational Problems Through Eigenvalue Analysis. CoRR Peter Sentz, Jehanzeb Hameed Chaudhry, Luke N. Olson
2022	J	`jnl`	Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation. CoRR Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West
2022	J	`jnl`	Parallel Energy-Minimization Prolongation for Algebraic Multigrid. CoRR Carlo Janna, Andrea Franceschini, Jacob B. Schroder, Luke N. Olson
2022	J	`jnl`	Performance Analysis and Optimal Node-Aware Communication for Enlarged Conjugate Gradient Methods. CoRR Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson
2022	—	`conf`	Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers. PP Shelby Lockhart, David J. Gardner, Carol S. Woodward, Stephen Thomas, Luke N. Olson
2022	J	`jnl`	PyAMG: Algebraic Multigrid Solvers in Python. J. Open Source Softw. Nathan Bell, Luke N. Olson, Jacob B. Schroder
2022	J	`jnl`	Tausch: A halo exchange library for large heterogeneous computing systems using MPI, OpenCL, and CUDA. Parallel Comput. Lukas Spies, Amanda Bienz, J. David Moulton, Luke N. Olson, Andrew Reisner
2021	J	`jnl`	A Least-Squares Finite Element Reduced Basis Method. SIAM J. Sci. Comput. Jehanzeb H. Chaudhry, Luke N. Olson, Peter Sentz
2021	J	`jnl`	Coarse-Grid Selection Using Simulated Annealing. CoRR Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West
2021	J	`jnl`	Low-order preconditioning of the Stokes equations. CoRR Alexey Voronin, Yunhui He, Scott P. MacLachlan, Luke N. Olson, Ray Tuminaro
2021	—	`conf`	Modeling Data Movement Performance on Heterogeneous Architectures. HPEC Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart
2021	A*	`conf`	Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. NeurIPS Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2021	J	`jnl`	Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. CoRR Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West
2021	J	`jnl`	Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers. CoRR Shelby Lockhart, David J. Gardner, Carol S. Woodward, Stephen Thomas, Luke N. Olson
2021	J	`jnl`	Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks. CoRR Peter Sentz, Kristian Beckwith, Eric C. Cyr, Luke N. Olson, Ravi G. Patel
2020	J	`jnl`	A Least-Squares Finite Element Reduced Basis Method. CoRR Jehanzeb Hameed Chaudhry, Luke N. Olson, Peter Sentz
2020	J	`jnl`	FFT, FMM, and multigrid on the road to exascale: Performance challenges and opportunities. J. Parallel Distributed Comput. Huda Ibeid, Luke N. Olson, William Gropp
2020	J	`jnl`	Modeling Data Movement Performance on Heterogeneous Architectures. CoRR Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart
2020	J	`jnl`	Reducing communication in algebraic multigrid with multi-step node aware communication. Int. J. High Perform. Comput. Appl. Amanda Bienz, William D. Gropp, Luke N. Olson
2020	J	`jnl`	Scalable line and plane relaxation in a parallel structured multigrid solver. Parallel Comput. Andrew Reisner, Markus Berndt, J. David Moulton, Luke N. Olson
2019	J	`jnl`	A massively scalable distributed multigrid framework for nonlinear marine hydrodynamics. Int. J. High Perform. Comput. Appl. Stefan Lemvig Glimberg, Allan Peter Engsig-Karup, Luke N. Olson
2019	J	`jnl`	Exploring the feasibility of lossy compression for PDE simulations. Int. J. High Perform. Comput. Appl. Jon C. Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, William D. Gropp
2019	—	`conf`	FaultSight: A Fault Analysis Tool for HPC Researchers. FTXS@SC Einar Horn, Dakota Fulp, Jon Calhoun, Luke N. Olson
2019	—	`conf`	Learning with Analytical Models. IPDPS Workshops Huda Ibeid, Siping Meng, Oliver Dobon, Luke N. Olson, William Gropp
2019	J	`jnl`	Node aware sparse matrix-vector multiplication. J. Parallel Distributed Comput. Amanda Bienz, William D. Gropp, Luke N. Olson
2019	J	`jnl`	Node-Aware Improvements to Allreduce. CoRR Amanda Bienz, Luke N. Olson, William D. Gropp
2019	J	`jnl`	Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication. CoRR Amanda Bienz, Luke N. Olson, William Gropp
2018	J	`jnl`	FFT, FMM, and Multigrid on the Road to Exascale: performance challenges and opportunities. CoRR Huda Ibeid, Luke N. Olson, William Gropp
2018	J	`jnl`	High-order finite element-integral equation coupling on embedded meshes. J. Comput. Phys. Natalie N. Beams, Andreas Klöckner, Luke N. Olson
2018	C	`conf`	Improving Performance Models for Irregular Point-to-Point Communication. EuroMPI Amanda Bienz, William D. Gropp, Luke N. Olson
2018	J	`jnl`	Improving Performance Models for Irregular Point-to-Point Communication. CoRR Amanda Bienz, William D. Gropp, Luke N. Olson
2018	J	`jnl`	Learning with Analytical Models. CoRR Huda Ibeid, Siping Meng, Oliver Dobon, Luke N. Olson, William Gropp
2018	J	`jnl`	Scaling Structured Multigrid to 500K+ Cores Through Coarse-Grid Redistribution. SIAM J. Sci. Comput. Andrew Reisner, Luke N. Olson, J. David Moulton
2018	J	`jnl`	Scaling Structured Multigrid to 500K+ Cores through Coarse-Grid Redistribution. CoRR Andrew Reisner, Luke N. Olson, J. David Moulton
2017	J	`jnl`	A Root-Node-Based Algebraic Multigrid Method. SIAM J. Sci. Comput. Thomas A. Manteuffel, Luke N. Olson, Jacob B. Schroder, Ben S. Southworth
2017	J	`jnl`	Efficient parallel optimization of volume meshes on heterogeneous computing systems. Eng. Comput. Zuofu Cheng, Eric Shaffer, Raine Yeh, George Zagaris, Luke N. Olson
2017	A	`conf`	Towards a More Complete Understanding of SDC Propagation. HPDC Jon Calhoun, Marc Snir, Luke N. Olson, William D. Gropp
2016	J	`jnl`	A Finite Element Based P SIAM J. Sci. Comput. Natalie N. Beams, Luke N. Olson, Jonathan B. Freund
2016	J	`jnl`	A hybrid format for better performance of sparse matrix-vector multiplication on a GPU. Int. J. High Perform. Comput. Appl. Dahai Guo, William Gropp, Luke N. Olson
2016	A	`conf`	IPAS: intelligent protection against silent output corruption in scientific applications. CGO Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun, Luke N. Olson
2016	C	`conf`	Modeling MPI Communication Performance on SMP Nodes: Is it Time to Retire the Ping Pong Test. EuroMPI William Gropp, Luke N. Olson, Philipp Samfass
2016	J	`jnl`	Reducing Parallel Communication in Algebraic Multigrid through Sparsification. SIAM J. Sci. Comput. Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, Jacob B. Schroder
2016	J	`jnl`	TAPSpMV: Topology-Aware Parallel Sparse Matrix Vector Multiplication. CoRR Amanda Bienz, William D. Gropp, Luke N. Olson
2015	J	`jnl`	A Finite Element Based P3M Method for N-body Problems. CoRR Natalie N. Beams, Luke N. Olson, Jonathan B. Freund
2015	J	`jnl`	Optimizing Sparse Matrix - Matrix Multiplication for the GPU. ACM Trans. Math. Softw. Steven Dalton, Luke N. Olson, Nathan Bell
2015	A	`conf`	Optimizing Sparse Matrix Operations on GPUs Using Merge Path. IPDPS Steven Dalton, Sean Baxter, Duane Merrill, Luke N. Olson, Michael Garland
2015	J	`jnl`	Reducing Parallel Communication in Algebraic Multigrid through Sparsification. CoRR Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, Jacob B. Schroder
2015	—	`conf`	Towards a more fault resilient multigrid solver. SpringSim (HPS) Jon Calhoun, Luke N. Olson, Marc Snir, William D. Gropp
2015	C	`conf`	Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply. CLUSTER Jon Calhoun, Marc Snir, Luke N. Olson, María Jesús Garzarán
2014	J	`jnl`	Enhancing Least-Squares Finite Element Methods Through a Quantity-of-Interest. SIAM J. Numer. Anal. Jehanzeb Hameed Chaudhry, Eric C. Cyr, Kuo Liu, Thomas A. Manteuffel, Luke N. Olson, Lei Tang
2014	—	`conf`	FlipIt: An LLVM Based Fault Injector for HPC. Euro-Par Workshops (1) Jon Calhoun, Luke N. Olson, Marc Snir
2014	J	`jnl`	Theoretical bounds for algebraic multigrid performance: review and analysis. Numer. Linear Algebra Appl. Scott P. MacLachlan, Luke N. Olson
2013	—	`conf`	Efficient GPU-based Optimization of Volume Meshes. PARCO Eric Shaffer, Zuofu Cheng, Raine Yeh, George Zagaris, Luke N. Olson
2012	J	`jnl`	A weighted adaptive least-squares finite element method for the Poisson-Boltzmann equation. Appl. Math. Comput. Jehanzeb Hameed Chaudhry, Stephen D. Bond, Luke N. Olson
2012	J	`jnl`	Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods. SIAM J. Sci. Comput. Nathan Bell, Steven Dalton, Luke N. Olson
2011	J	`jnl`	A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization. SIAM J. Sci. Comput. Luke N. Olson, Jacob B. Schroder, Raymond S. Tuminaro
2011	J	`jnl`	Algebraic Multigrid for High-Order Hierarchical H(curl) Finite Elements. SIAM J. Sci. Comput. James H. Lai, Luke N. Olson
2011	J	`jnl`	Finite Element Approximation to a Finite-Size Modified Poisson-Boltzmann Equation. J. Sci. Comput. Jehanzeb Hameed Chaudhry, Stephen D. Bond, Luke N. Olson
2011	J	`jnl`	Smoothed aggregation multigrid solvers for high-order discontinuous Galerkin methods for elliptic problems. J. Comput. Phys. Luke N. Olson, Jacob B. Schroder
2010	J	`jnl`	A first-order system least-squares finite element method for the Poisson-Boltzmann equation. J. Comput. Chem. Stephen D. Bond, Jehanzeb Hameed Chaudhry, Eric C. Cyr, Luke N. Olson
2010	J	`jnl`	A new perspective on strength measures in algebraic multigrid. Numer. Linear Algebra Appl. Luke N. Olson, Jacob B. Schroder, Raymond S. Tuminaro
2010	J	`jnl`	A spectral boundary integral method for flowing blood cells. J. Comput. Phys. Hong Zhao, Amir H. G. Isfahani, Luke N. Olson, Jonathan B. Freund
2010	J	`jnl`	Smoothed aggregation for Helmholtz problems. Numer. Linear Algebra Appl. Luke N. Olson, Jacob B. Schroder
2008	J	`jnl`	Algebraic multigrid for Numer. Linear Algebra Appl. Nathan Bell, Luke N. Olson
2007	J	`jnl`	Algebraic Multigrid Preconditioning of High-Order Spectral Elements for Elliptic Problems on a Simplicial Mesh. SIAM J. Sci. Comput. Luke N. Olson
2007	J	`jnl`	Parallel coarse-grid selection. Numer. Linear Algebra Appl. David M. Alber, Luke N. Olson
2005	J	`jnl`	Numerical Conservation Properties of H(div)-Conforming Least-Squares Finite Element Methods for the Burgers Equation. SIAM J. Sci. Comput. Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Luke N. Olson
2004	J	`jnl`	Least-Squares Finite Element Methods and Algebraic Multigrid Solvers for Linear Hyperbolic PDEs. SIAM J. Sci. Comput. Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Luke N. Olson