| Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks JA Ellis, L Fiedler, GA Popoola, NA Modine, JA Stephens, AP Thompson, ... Physical Review B 104 (3), 035120, 2021 | 65 | 2021 |
| Local improvement results for Anderson acceleration with inaccurate function evaluations A Toth, JA Ellis, T Evans, S Hamilton, CT Kelley, R Pawlowski, S Slattery SIAM Journal on Scientific Computing 39 (5), S47-S65, 2017 | 52 | 2017 |
| Revealing power, energy and thermal dynamics of a 200pf pre-exascale supercomputer W Shin, V Oles, AM Karimi, JA Ellis, F Wang Proceedings of the International Conference for High Performance Computing …, 2021 | 29 | 2021 |
| Scalable inference for sparse deep neural networks using Kokkos kernels JA Ellis, S Rajamanickam 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019 | 23 | 2019 |
| Co-design center for exascale machine learning technologies (exalearn) FJ Alexander, J Ang, JA Bilbrey, J Balewski, T Casey, R Chard, J Choi, ... The International Journal of High Performance Computing Applications 35 (6 …, 2021 | 16 | 2021 |
| Optimization of processor allocation for domain decomposed Monte Carlo calculations JA Ellis, TM Evans, SP Hamilton, CT Kelley, TM Pandya Parallel Computing 87, 77-86, 2019 | 13 | 2019 |
| ALO-NMF: Accelerated locality-optimized non-negative matrix factorization GE Moon, JA Ellis, A Sukumaran-Rajam, S Parthasarathy, P Sadayappan Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 11 | 2020 |
| Climbing the summit and pushing the frontier of mixed precision benchmarks at extreme scale H Lu, M Matheson, V Oles, A Ellis, W Joubert, F Wang SC22: International Conference for High Performance Computing, Networking …, 2022 | 7 | 2022 |
| Training-free hyperparameter optimization of neural networks for electronic structures in matter L Fiedler, N Hoffmann, P Mohammed, GA Popoola, T Yovell, V Oles, ... Machine Learning: Science and Technology 3 (4), 045008, 2022 | 7 | 2022 |
| Optimizing distributed training on frontier for large language models S Dash, IR Lyngaas, J Yin, X Wang, R Egele, JA Ellis, M Maiterth, G Cong, ... ISC High Performance 2024 Research Paper Proceedings (39th International …, 2024 | 6 | 2024 |
| MiniGAN JA Ellis, S Rajamanickam | 5 | 2020 |
| ECP report: Update on proxy applications and vendor interactions J Ang, C Sweeney, M Wolf, JA Ellis, S Ghosh, A Kagawa, Y Huang, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 3 | 2020 |
| Hypothesis-agnostic network-based analysis of real-world data suggests ondansetron is associated with lower COVID-19 any cause mortality GM Miller, JA Ellis, R Sarangarajan, A Parikh, LO Rodrigues, C Bruce, ... Drugs-real world outcomes 9 (3), 359-375, 2022 | 2 | 2022 |
| Ondansetron use is associated with lower COVID-19 mortality in a Real-World Data network-based analysis GM Miller, JA Ellis, R Sarangarajan, A Parikh, LO Rodrigues, C Bruce, ... medRxiv, 2021.10. 05.21264578, 2021 | 1 | 2021 |
| OpenMxP-Opensource Mixed Precision Computing H Lu, M Matheson, F Wang, W Joubert, A Ellis, V Oles Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | | 2023 |
| A machine learning surrogate for density functional theory based on the local density of state. N Modine, L Fiedler, D Vogel, A Thompson, A Ellis, J Stephens, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Long Term Per-Component Power and Thermal Measurements of the OLCF Summit System W Shin, JA Ellis, AM Karimi, V Oles, S Dash, F Wang Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). Oak Ridge …, 2022 | | 2022 |
| Finding Electronic Structure Machine Learning Surrogates without Training L Fiedler, N Hoffmann, P Mohammed, GA Popoola, T Yovell, V Oles, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Electronic Structure Machine Learning Surrogates without Training L Fiedler, N Hoffmann, P Mohammed, GA Popoola, T Yovell, V Oles, ... arXiv e-prints, arXiv: 2202.09186, 2022 | | 2022 |
| An Introduction to the Materials Learning Algorithms Package (MALA). L Fiedler, A Ellis, S Rajamanickam, A Cangi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
