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Shelby Lockhart
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Modeling data movement performance on heterogeneous architectures
A Bienz, LN Olson, WD Gropp, S Lockhart
2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2021
122021
Limited-memory trust-region methods for sparse relaxation
L Adhikari, O DeGuchy, JB Erway, S Lockhart, RF Marcia
Wavelets and Sparsity XVII 10394, 95-102, 2017
92017
Performance analysis and optimal node-aware communication for enlarged conjugate gradient methods
S Lockhart, A Bienz, W Gropp, L Olson
ACM Transactions on Parallel Computing 10 (1), 1-25, 2023
72023
Performance of low synchronization orthogonalization methods in Anderson accelerated fixed point solvers
S Lockhart, DJ Gardner, CS Woodward, S Thomas, LN Olson
Proceedings of the 2022 SIAM Conference on Parallel Processing for …, 2022
62022
Characterizing the performance of node-aware strategies for irregular point-to-point communication on heterogeneous architectures
S Lockhart, A Bienz, WD Gropp, LN Olson
Parallel Computing 116, 103021, 2023
42023
Preparation and optimization of a diverse workload for a large-scale heterogeneous system
I Karlin, Y Park, BR De Supinski, P Wang, B Still, D Beckingsale, R Blake, ...
Proceedings of the International Conference for High Performance Computing …, 2019
32019
Reducing communication bottlenecks in iterative solvers
S Lockhart
University of Illinois at Urbana-Champaign, 2023
2023
Trust-Region Methods for Sparse Relaxation
L Adhikari, JB Erway, S Lockhart, RF Marcia
arXiv preprint arXiv:1602.08813, 2016
2016
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Articles 1–8