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J. Austin Ellis
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2020 – today
- 2022
- [j4]Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi:
Training-free hyperparameter optimization of neural networks for electronic structures in matter. Mach. Learn. Sci. Technol. 3(4): 45008 (2022) - [c4]Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang:
Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. SC 2022: 78:1-78:15 - 2021
- [j3]Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [c3]Woong Shin, Vladyslav Oles, Ahmad Maroof Karimi, J. Austin Ellis, Feiyi Wang:
Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer. SC 2021: 12 - 2020
- [c2]Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan:
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. KDD 2020: 1758-1767 - [i1]J. Austin Ellis, Attila Cangi, Normand A. Modine, J. Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam:
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks. CoRR abs/2010.04905 (2020)
2010 – 2019
- 2019
- [j2]J. Austin Ellis, Thomas M. Evans, Steven P. Hamilton, C. T. Kelley, Tara M. Pandya:
Optimization of processor allocation for domain decomposed Monte Carlo calculations. Parallel Comput. 87: 77-86 (2019) - [c1]J. Austin Ellis, Sivasankaran Rajamanickam:
Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels. HPEC 2019: 1-7 - 2017
- [j1]Alex Toth, J. Austin Ellis, Thomas M. Evans, Steven P. Hamilton, C. T. Kelley, Roger P. Pawlowski, Stuart R. Slattery:
Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations. SIAM J. Sci. Comput. 39(5) (2017)
Coauthor Index
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