Matthew R. Norman

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 15

Top Topics

Application Development

Rainfall Runoff

Subsumption Architecture

Top Venues

Int. J. High Perform. Comput. Appl.

J. Comput. Phys.

Publications

Ayhan H. Saleem, Matthew R. Norman
Accelerated numerical modeling of shallow water flows with MPI, OpenACC, and GPUs. Environ. Model. Softw. 180 (2024)
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 (2023)
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)
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 (2023)
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)
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)
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) (2023)
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) (2022)
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) (2022)
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 (2021)
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, J. 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) (2020)
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)
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)
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)
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)
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 (2015)
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 (2015)
Matthew R. Norman
Developing A Large Time Step, Robust, and Low Communication Multi-Moment PDE Integration Scheme for Exascale Applications. ICCS (2015)
Matthew R. Norman
Developing A Large Time Step, Robust, and Low Communication Multi-Moment PDE Integration Scheme for Exascale Applications. ICCS (2015)
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 (2015)
Matthew R. Norman
A WENO-limited, ADER-DT, finite-volume scheme for efficient, robust, and communication-avoiding multi-dimensional transport. J. Comput. Phys. 274 (2014)
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) (2013)
Matthew R. Norman
Algorithmic improvements for schemes using the ADER time discretization. J. Comput. Phys. 243 (2013)
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) (2012)
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) (2011)