Bethany Lusch

28 papers A 1B 4Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Queue wait time prediction in high performance computing (HPC) systems.
J. Supercomput.
Nwamaka Okafor, Bethany Lusch, Venkatram Vishwanath
2025 J jnl
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems.
CoRR
Shilpika, Bethany Lusch, Venkatram Vishwanath, Michael E. Papka
2025 J jnl
Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery.
CoRR
Benjamin S. Allen, James L. Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, Solomon Bekele, Colleen Bertoni, Cyrus Blackworth, Renzo Bustamante, Kevin Canada, John Carrier, Christopher Chan-nui, Lance C. Cheney, J. Taylor Childers, Paul K. Coffman, Susan Coghlan, Michael D'Mello, Murali Emani, Kyle Felker, Sam Foreman, Olivier Franza, Longfei Gao, Marta García, María Jesús Garzarán, Balazs Gerofi, Yasaman Ghadar, Neha Gupta, Kevin Harms, Väinö Hatanpää, Brian Holland, Carissa Holohan, Brian Homerding, Khalid Hossain, Louise Huot, Huda Ibeid, Joseph A. Insley, Sai Jayanthi, Hong Jiang, Wei Jiang, Xiao-Yong Jin, Jeongnim Kim, Christopher Knight, Kalyan Kumaran, JaeHyuk Kwack, Ti Leggett, Ben Lenard, Chris Lewis, Nevin Liber, Johann Lombardi, Raymond M. Loy, Ye Luo, Bethany Lusch, Nilakantan Mahadevan, Victor A. Mateevitsi, Gordon McPheeters, Ryan Milner, Vitali A. Morozov, Servesh Muralidharan, Tom Musta, Mrigendra Nagar, Vikram Narayana, Marieme Ngom, Anthony-Trung Nguyen, Nathan Nichols, Aditya Nishtala, James C. Osborn, Michael E. Papka, Scott Parker, Saumil Patel, Adrian C. Pope, Sucheta Raghunanda, Esteban Rangel, Paul M. Rich, Silvio Rizzi, Kris Rowe, Varuni Sastry, Adam Scovel, Filippo Simini, Haritha Siddabathuni Som, Patrick Steinbrecher, Rick Stevens, Xinmin Tian, Peter Upton, Thomas D. Uram, Archit Vasan, Álvaro Vázquez-Mayagoitia, Kaushik Velusamy, Brice Videau, Venkatram Vishwanath, Brian Whitney, Timothy J. Williams, Michael Woodacre, Sam Zeltner, Gengbin Zheng, Huihuo Zheng
2024 B conf
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems.
CCGrid
Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
2024 — conf
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems.
SC Workshops
Shilpika, Bethany Lusch, Venkatram Vishwanath, Michael E. Papka
2024 J jnl
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks.
CoRR
Shivam Barwey, Pinaki Pal, Saumil Patel, Riccardo Balin, Bethany Lusch, Venkatram Vishwanath, Romit Maulik, Ramesh Balakrishnan
2024 — ed.
Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, PP 2024, Baltimore, MD, USA, March 5-8, 2024
PP
Michael Bader, Anshu Dubey, Bethany Lusch
2024 — conf
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling.
SC Workshops
Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath
2024 J jnl
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling.
CoRR
Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath
2023 J jnl
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems.
CoRR
Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
2023 J jnl
Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems For Control.
CoRR
Madhur Tiwari, George Nehma, Bethany Lusch
2023 J jnl
Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems for Control.
IEEE Control. Syst. Lett.
Madhur Tiwari, George Nehma, Bethany Lusch
2022 B conf
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification.
ICPR
Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash
2022 J jnl
PythonFOAM: In-situ data analyses with OpenFOAM and Python.
J. Comput. Sci.
Romit Maulik, Dimitrios Fytanidis, Bethany Lusch, Venkatram Vishwanath, Saumil Patel
2022 B conf
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems.
CCGRID
Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
2021 J jnl
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification.
CoRR
Romain Egele, Romit Maulik, Krishnan Raghavan, Prasanna Balaprakash, Bethany Lusch
2021 — conf
Data-Driven Deep Learning Emulators for Geophysical Forecasting.
ICCS (5)
Varuni Katti Sastry, Romit Maulik, Vishwas Rao, Bethany Lusch, S. Ashwin Renganathan, Rao Kotamarthi
2021 J jnl
PythonFOAM: In-situ data analyses with OpenFOAM and Python.
CoRR
Romit Maulik, Dimitrios Fytanidis, Bethany Lusch, Venkatram Vishwanath, Saumil Patel
2020 J jnl
Deploying deep learning in OpenFOAM with TensorFlow.
CoRR
Romit Maulik, Himanshu Sharma, Saumil Patel, Bethany Lusch, Elise Jennings
2020 A conf
Recurrent neural network architecture search for geophysical emulation.
SC
Romit Maulik, Romain Egele, Bethany Lusch, Prasanna Balaprakash
2019 J jnl
Deep Learning Models for Global Coordinate Transformations that Linearize PDEs.
CoRR
Craig Gin, Bethany Lusch, Steven L. Brunton, J. Nathan Kutz
2019 — conf
MELA: A Visual Analytics Tool for Studying Multifidelity HPC System Logs.
DAAC@SC
Shilpika, Bethany Lusch, Murali Emani, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
2019 B conf
Shape Constrained Tensor Decompositions.
DSAA
Bethany Lusch, Eric C. Chi, J. Nathan Kutz
2019 J jnl
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models.
CoRR
Romit Maulik, Vishwas Rao, Sandeep Madireddy, Bethany Lusch, Prasanna Balaprakash
2017 J jnl
Deep learning for universal linear embeddings of nonlinear dynamics.
CoRR
Bethany Lusch, J. Nathan Kutz, Steven L. Brunton
2016 J jnl
Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries.
CoRR
Bethany Lusch, Eric C. Chi, J. Nathan Kutz
2015 — conf
Submodular Hamming Metrics.
NIPS
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
2015 J jnl
Submodular Hamming Metrics.
CoRR
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes