Effective performance portability SL Harrell, J Kitson, R Bird, SJ Pennycook, J Sewall, D Jacobsen, ... 2018 IEEE/ACM International Workshop on Performance, Portability and …, 2018 | 42 | 2018 |
Front-tracking methods D She, R Kaufman, H Lim, J Melvin, A Hsu, J Glimm Handbook of Numerical Analysis 17, 383-402, 2016 | 24 | 2016 |
Analysis of NIF scaling using physics informed machine learning A Hsu, B Cheng, PA Bradley Physics of Plasmas 27 (1), 012703, 2020 | 21 | 2020 |
Analysis of NIF scaling using physics informed machine learning A Hsu, B Cheng, P Bradley Bulletin of the American Physical Society 64, 2019 | 21 | 2019 |
Performance Portability Challenges for Fortran Applications A Hsu, DN Asanza, JA Schoonover, Z Jibben, NN Carlson, R Robey 2018 IEEE/ACM International Workshop on Performance, Portability and …, 2018 | 10 | 2018 |
Beyond optimization—supervised learning applications in relativistic laser-plasma experiments J Lin, Q Qian, J Murphy, A Hsu, A Hero, Y Ma, AGR Thomas, ... Physics of Plasmas 28 (8), 083102, 2021 | 9 | 2021 |
Scaling laws for partially developed turbulence A Hsu, R Kaufman, J Glimm arXiv preprint arXiv:2003.06968, 2020 | 2 | 2020 |
Feature analysis in relativistic laser-plasma experiments utilizing machine learning methods J Lin, Q Qian, J Murphy, A Hsu, A Hero, AGR Thomas, K Krushelnick arXiv e-prints, arXiv: 2011.05866, 2020 | | 2020 |
Towards predicting electron beam charge upon phase control in laser wakefield accelerators using supervised learning techniques J Lin, Q Qian, J Murphy, A Hsu, A Thomas, K Krushelnick, A Hero APS Division of Plasma Physics Meeting Abstracts 2020, TO03. 006, 2020 | | 2020 |
A Taylor-Microscale Transport Model for RANS D Israel, A Hsu, J Rudolph APS Division of Fluid Dynamics Meeting Abstracts, Q29. 009, 2017 | | 2017 |