MFEM: A modular finite element methods library R Anderson, J Andrej, A Barker, J Bramwell, JS Camier, J Cerveny, ... Computers & Mathematics with Applications 81, 42-74, 2021 | 370 | 2021 |
Umpire: Application-focused management and coordination of complex hierarchical memory DA Beckingsale, MJ McFadden, JPS Dahm, R Pankajakshan, ... IBM Journal of Research and Development 64 (3/4), 00: 1-00: 10, 2019 | 38 | 2019 |
Error estimation and adaptation in hybridized discontinous Galerkin methods JP Dahm, K Fidkowski 52nd Aerospace Sciences Meeting, 0078, 2014 | 16 | 2014 |
A hybrid grid compressible flow solver for large-scale supersonic jet noise simulations on multi-GPU clusters A Corrigan, K Kailasanath, J Liu, R Ramamurti, D Schwer, J Dahm 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and …, 2012 | 13 | 2012 |
Productive performance engineering for weather and climate modeling with python T Ben-Nun, L Groner, F Deconinck, T Wicky, E Davis, J Dahm, OD Elbert, ... SC22: International Conference for High Performance Computing, Networking …, 2022 | 11 | 2022 |
fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model J McGibbon, ND Brenowitz, M Cheeseman, SK Clark, J Dahm, E Davis, ... Geoscientific Model Development Discussions 2021, 1-14, 2021 | 11 | 2021 |
Sierra center of excellence: Lessons learned JP Dahm, DF Richards, A Black, AD Bertsch, L Grinberg, I Karlin, ... IBM Journal of Research and Development 64 (3/4), 2: 1-2: 14, 2019 | 10 | 2019 |
Toward Accurate, Efficient, and Robust Hybridized Discontinuous Galerkin Methods J Dahm | 7 | 2017 |
Analysis of the monotonic Lagrangian grid as an air traffic simulation tool C Kaplan, J Dahm, E Oran, N Alexandrov, J Boris Journal of Guidance, Control, and Dynamics 36 (1), 196-206, 2013 | 7 | 2013 |
Optimal test functions for boundary accuracy in discontinuous finite element methods SM Kast, JPS Dahm, KJ Fidkowski Journal of Computational Physics 298, 360-386, 2015 | 5 | 2015 |
Pace v0. 1: A python-based performance-portable implementation of the FV3 dynamical core J Dahm, E Davis, F Deconinck, O Elbert, R George, J McGibbon, T Wicky, ... EGUsphere 2022, 1-24, 2022 | 4 | 2022 |
Gt4py: Python tool for implementing finite-difference computations for weather and climate J Dahm, E Davis, T Wicky, M Cheeseman, O Elbert, R George, ... 101st American Meteorological Society Annual Meeting, 2021 | 3 | 2021 |
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 | 3 | 2019 |
Unstructured Grid Numbering Schemes for GPU Coalescing Requirements A Corrigan, J Dahm GPU Technology Conference, 2012 | 3 | 2012 |
Pace v0. 2: a Python-based performance-portable atmospheric model J Dahm, E Davis, F Deconinck, O Elbert, R George, J McGibbon, T Wicky, ... Geoscientific Model Development 16 (9), 2719-2736, 2023 | 1 | 2023 |
DaCe-Data Centric Parallel Programming T Ben-Nun, TD Matteis, O Rausch, C Johnsen, S Raje, A Kuster, ... SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States), 2019 | 1 | 2019 |
A hybrid Petrov-Galerkin method for optimal output prediction S Kast, JP Dahm, K Fidkowski 53rd AIAA Aerospace Sciences Meeting, 1956, 2015 | 1 | 2015 |
The Monotonic Lagrangian Grid for Rapid Air-Traffic Evaluation C Kaplan, J Dahm, E Oran, N Alexandrov, J Boris 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference …, 2010 | 1 | 2010 |
Porting a Simple Shallow Water Model From Fortran to GT4Py CW Harrop, R Gonzalez-Pita, I Jankov, J Dahm, O Elbert 103rd AMS Annual Meeting, 2023 | | 2023 |
How domain-specific languages in Python can bridge the software productivity gap in weather and climate science: Demonstration with the SHiELD Atmospheric Model E Wu, J Dahm, F Deconinck, O Elbert, J McGibbon, T Wicky, L Harris, ... AGU Fall Meeting Abstracts 2022, SY35A-0646, 2022 | | 2022 |