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ORCIDMatthew 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, Isaac Lyngaas, Abhishek Bagusetty, Mark A. Berrill:
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, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang:
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, Noel Keen, Jayesh Krishna, Matthew R. Norman, Sarat Sreepathi, Christopher Terai, James B. White III, Andrew G. Salinger, Renata B. McCoy, Lai-yung Ruby Leung, David C. Bader, Danqing Wu:
The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. SC 2023: 7:1-7:11 - [c6]Nicholas Malaya, Bronson Messer, Joseph Glenski, Antigoni Georgiadou, Justin Lietz, Kalyana C. Gottiparthi, Marc Day, Jackie Chen, Jon S. Rood, Lucas Esclapez, James B. White III, Gustav R. Jansen, Nicholas Curtis, Stephen Nichols, Jakub Kurzak, Noel Chalmers, Chip Freitag, Paul T. Bauman, Alessandro Fanfarillo, Reuben D. Budiardja, Thomas Papatheodore, Nicholas Frontiere, Damon McDougall, Matthew R. Norman, Sarat Sreepathi, Philip C. Roth, Dmytro Bykov, Noah Wolfe, Paul Mullowney, Markus Eisenbach, Marc T. Henry de Frahan, Wayne Joubert:
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, Noah Wolfe:
Experiences Readying Applications for Exascale. CoRR abs/2310.01586 (2023) - 2022
- [j15]Matthew R. Norman, David A. Bader, Christopher Eldred, Walter M. Hannah, Benjamin R. Hillman, Christopher R. Jones, Jungmin M. Lee, L. Ruby Leung, Isaac Lyngaas, Kyle G. Pressel, Sarat Sreepathi, Mark A. Taylor, Xingqiu Yuan:
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, Matthew R. Norman, Youngsung Kim:
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, Md Bulbul Sharif, Alfred J. Kalyanapu, Sheikh K. Ghafoor, Tigstu T. Dullo, Sudershan Gangrade, Shih-Chieh Kao, Matthew R. Norman, Katherine J. Evans:
TRITON: A Multi-GPU open source 2D hydrodynamic flood model. Environ. Model. Softw. 141: 105034 (2021) - [c5]Wei Zhang, Min Xu, Katherine J. Evans, Matthew R. Norman, Mario Morales-Hernández, Salil Mahajan, Adrian Hill, James Manners, Ben Shipway, Christopher M. Maynard:
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, Ria Broer, Dmytro Bykov, Eduardo F. D'Azevedo, Shirin S. Faraji, Kalyana C. Gottiparthi, Coen de Graaf, James Austin Harris, Remco W. A. Havenith, Hans Jørgen Aagard Jensen, Wayne Joubert, R. K. Kathir, Jeff Larkin, Ying Wai Li, Dmitry I. Lyakh, O. E. Bronson Messer, Matthew R. Norman, Joseph C. Oefelein, Ramanan Sankaran, Andreas F. Tillack, Ashleigh L. Barnes, Lucas Visscher, Jack C. Wells, Meilani Wibowo:
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, Jeffrey M. Larkin:
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, David J. Gardner, Matthew R. Norman, Mark A. Taylor, Carol S. Woodward, Patrick H. Worley:
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, Katherine J. Evans, Joseph H. Kennedy, Min Xu, Matthew R. Norman, Marcia L. Branstetter:
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, Katherine J. Evans, Joseph H. Kennedy, Min Xu, Matthew R. Norman:
A Multivariate Approach to Ensure Statistical Reproducibility of Climate Model Simulations. PASC 2019: 14:1-14:10 - 2017
- [c3]Salil Mahajan, Abigail L. Gaddis, Katherine J. Evans, Matthew R. Norman:
Exploring an Ensemble-Based Approach to Atmospheric Climate Modeling and Testing at Scale. ICCS 2017: 735-744 - 2015
- [j8]Wayne Joubert, Rick Archibald, Mark A. Berrill, W. Michael Brown, Markus Eisenbach, Ray W. Grout, Jeff Larkin, John M. Levesque, Bronson Messer, Matthew R. Norman, Bobby Philip, Ramanan Sankaran, Arnold N. Tharrington, John A. Turner:
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, Katherine J. Evans, Jeffrey M. Larkin, Paulius Micikevicius, Matthew R. Norman, James Rosinski, Jim Schwarzmeier, Mark A. Taylor:
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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