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Matthew R. Norman
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- affiliation: Oak Ridge National Laboratory, TN, USA
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2020 – today
- 2024
- [j17]Ayhan H. Saleem
, Matthew R. Norman:
Accelerated numerical modeling of shallow water flows with MPI, OpenACC, and GPUs. Environ. Model. Softw. 180: 106141 (2024) - 2023
- [j16]Matthew R. Norman
Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL). Int. J. Parallel Program. 51(4-5): 209-230 (2023) - [c8]Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications. High Performance Computing for Imaging 2023: 1-7 - [c7]Mark Taylor, Peter M. Caldwell, Luca Bertagna, Conrad Clevenger, Aaron Donahue, James G. Foucar, Oksana Guba, Benjamin R. Hillman
The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. SC 2023: 7:1-7:11 - [c6]Nicholas Malaya
Experiences readying applications for Exascale. SC 2023: 53:1-53:13 - [i2]Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar, Simon D. Hammond, Maya B. Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew R. Norman, Ivy Bo Peng, Philip W. Jones:
Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR abs/2304.03748 (2023) - [i1]Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov, Noel Chalmers, Jacqueline Chen, Nicholas Curtis, Marc Day, Markus Eisenbach, Lucas Esclapez, Alessandro Fanfarillo, William Freitag, Nicholas Frontiere, Antigoni Georgiadou, Joseph Glenski, Kalyana C. Gottiparthi, Marc T. Henry de Frahan, Gustav R. Jansen, Wayne Joubert, Justin G. Lietz, Jakub Kurzak, Nicholas Malaya, Bronson Messer, Damon McDougall, Paul Mullowney, Stephen Nichols, Matthew R. Norman, Thomas Papatheodore, Jon S. Rood, Philip C. Roth, Sarat Sreepathi, James B. White III
Experiences Readying Applications for Exascale. CoRR abs/2310.01586 (2023) - 2022
- [j15]Matthew R. Norman
Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. Int. J. High Perform. Comput. Appl. 36(1): 93-105 (2022) - [j14]Isaac Lyngaas
SAM++: Porting the E3SM-MMF cloud resolving model using a C++ portability library. Int. J. High Perform. Comput. Appl. 36(2): 214-230 (2022) - 2021
- [j13]Mario Morales-Hernández
TRITON: A Multi-GPU open source 2D hydrodynamic flood model. Environ. Model. Softw. 141: 105034 (2021) - [c5]Wei Zhang
Progress towards accelerating the unified model on hybrid multi-core systems. PASC 2021: 8:1-8:9 - 2020
- [j12]Lixiang Luo, Tjerk P. Straatsma, Luis Enrique Aguilar-Suárez
Pre-exascale accelerated application development: The ORNL Summit experience. IBM J. Res. Dev. 64(3/4): 11:1-11:21 (2020) - [j11]Matthew R. Norman
A Holistic Algorithmic Approach to Improving Accuracy, Robustness, and Computational Efficiency for Atmospheric Dynamics. SIAM J. Sci. Comput. 42(5): B1302-B1327 (2020)
2010 – 2019
- 2019
- [j10]Katherine J. Evans, Richard K. Archibald
Performance analysis of fully explicit and fully implicit solvers within a spectral element shallow-water atmosphere model. Int. J. High Perform. Comput. Appl. 33(2) (2019) - [j9]Salil Mahajan
Ongoing solution reproducibility of earth system models as they progress toward exascale computing. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [c4]Salil Mahajan
A Multivariate Approach to Ensure Statistical Reproducibility of Climate Model Simulations. PASC 2019: 14:1-14:10 - 2017
- [c3]Salil Mahajan
Exploring an Ensemble-Based Approach to Atmospheric Climate Modeling and Testing at Scale. ICCS 2017: 735-744 - 2015
- [j8]Wayne Joubert, Rick Archibald
Accelerated application development: The ORNL Titan experience. Comput. Electr. Eng. 46: 123-138 (2015) - [j7]Matthew R. Norman:
Hermite WENO limiting for multi-moment finite-volume methods using the ADER-DT time discretization for 1-D systems of conservation laws. J. Comput. Phys. 282: 381-396 (2015) - [j6]Matthew R. Norman, Jeffrey M. Larkin, Aaron Vose, Katherine J. Evans
A case study of CUDA FORTRAN and OpenACC for an atmospheric climate kernel. J. Comput. Sci. 9: 1-6 (2015) - [c2]Matthew R. Norman:
Developing A Large Time Step, Robust, and Low Communication Multi-Moment PDE Integration Scheme for Exascale Applications. ICCS 2015: 1848-1857 - [c1]Matthew R. Norman:
Developing A Large Time Step, Robust, and Low Communication Multi-Moment PDE Integration Scheme for Exascale Applications. ICCS 2015: 2688-2697 - 2014
- [j5]Matthew R. Norman:
A WENO-limited, ADER-DT, finite-volume scheme for efficient, robust, and communication-avoiding multi-dimensional transport. J. Comput. Phys. 274: 1-18 (2014) - 2013
- [j4]Ilene Carpenter, Rick Archibald
Progress towards accelerating HOMME on hybrid multi-core systems. Int. J. High Perform. Comput. Appl. 27(3): 335-347 (2013) - [j3]Matthew R. Norman:
Algorithmic improvements for schemes using the ADER time discretization. J. Comput. Phys. 243: 176-178 (2013) - 2012
- [j2]Matthew R. Norman, H. Finkel:
Multi-moment ADER-Taylor methods for systems of conservation laws with source terms in one dimension. J. Comput. Phys. 231(20): 6622-6642 (2012) - 2011
- [j1]Matthew R. Norman, Ramachandran D. Nair, Fredrick H. M. Semazzi:
A low communication and large time step explicit finite-volume solver for non-hydrostatic atmospheric dynamics. J. Comput. Phys. 230(4): 1567-1584 (2011)
Coauthor Index
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