Matthew R. Norman

28 papers A 2Misc 3Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers. SC Workshops Woong Shin, Karl W. Schulz, Arthur Francisco Lorenzon, Matthias Maiterth, Bruno Villasenor Alvarez, Jordà Polo, Aditya Kashi, Hao Lu, Nicholson Koukpaizan, Antigoni Georgiadou, Matthew R. Norman, Wael R. Elwasif, Michael A. Matheson, Feiyi Wang, Nicholas Frontiere, Sarp Oral, Thomas Beck, Bronson Messer
2024	J	`jnl`	Accelerated numerical modeling of shallow water flows with MPI, OpenACC, and GPUs. Environ. Model. Softw. Ayhan H. Saleem, Matthew R. Norman
2023	J	`jnl`	Experiences Readying Applications for Exascale. CoRR 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
2023	A	`conf`	Experiences readying applications for Exascale. SC 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
2023	J	`jnl`	Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR 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
2023	—	`conf`	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 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
2023	J	`jnl`	Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL). Int. J. Parallel Program. Matthew R. Norman, Isaac Lyngaas, Abhishek Bagusetty, Mark A. Berrill
2023	A	`conf`	The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. SC 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
2022	J	`jnl`	SAM++: Porting the E3SM-MMF cloud resolving model using a C++ portability library. Int. J. High Perform. Comput. Appl. Isaac Lyngaas, Matthew R. Norman, Youngsung Kim
2022	J	`jnl`	Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. Int. J. High Perform. Comput. Appl. 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
2021	—	`conf`	Progress towards accelerating the unified model on hybrid multi-core systems. PASC Wei Zhang, Min Xu, Katherine J. Evans, Matthew R. Norman, Mario Morales-Hernández, Salil Mahajan, Adrian Hill, James Manners, Ben Shipway, Christopher M. Maynard
2021	J	`jnl`	TRITON: A Multi-GPU open source 2D hydrodynamic flood model. Environ. Model. Softw. 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
2020	J	`jnl`	A Holistic Algorithmic Approach to Improving Accuracy, Robustness, and Computational Efficiency for Atmospheric Dynamics. SIAM J. Sci. Comput. Matthew R. Norman, Jeffrey M. Larkin
2020	J	`jnl`	Pre-exascale accelerated application development: The ORNL Summit experience. IBM J. Res. Dev. 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
2019	—	`conf`	A Multivariate Approach to Ensure Statistical Reproducibility of Climate Model Simulations. PASC Salil Mahajan, Katherine J. Evans, Joseph H. Kennedy, Min Xu, Matthew R. Norman
2019	J	`jnl`	Ongoing solution reproducibility of earth system models as they progress toward exascale computing. Int. J. High Perform. Comput. Appl. Salil Mahajan, Katherine J. Evans, Joseph H. Kennedy, Min Xu, Matthew R. Norman, Marcia L. Branstetter
2019	J	`jnl`	Performance analysis of fully explicit and fully implicit solvers within a spectral element shallow-water atmosphere model. Int. J. High Perform. Comput. Appl. Katherine J. Evans, Richard K. Archibald, David J. Gardner, Matthew R. Norman, Mark A. Taylor, Carol S. Woodward, Patrick H. Worley
2017	Misc	`conf`	Exploring an Ensemble-Based Approach to Atmospheric Climate Modeling and Testing at Scale. ICCS Salil Mahajan, Abigail L. Gaddis, Katherine J. Evans, Matthew R. Norman
2015	J	`jnl`	A case study of CUDA FORTRAN and OpenACC for an atmospheric climate kernel. J. Comput. Sci. Matthew R. Norman, Jeffrey M. Larkin, Aaron Vose, Katherine J. Evans
2015	J	`jnl`	Accelerated application development: The ORNL Titan experience. Comput. Electr. Eng. 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
2015	Misc	`conf`	Developing A Large Time Step, Robust, and Low Communication Multi-Moment PDE Integration Scheme for Exascale Applications. ICCS Matthew R. Norman
2015	Misc	`conf`	Developing A Large Time Step, Robust, and Low Communication Multi-Moment PDE Integration Scheme for Exascale Applications. ICCS Matthew R. Norman
2015	J	`jnl`	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. Matthew R. Norman
2014	J	`jnl`	A WENO-limited, ADER-DT, finite-volume scheme for efficient, robust, and communication-avoiding multi-dimensional transport. J. Comput. Phys. Matthew R. Norman
2013	J	`jnl`	Algorithmic improvements for schemes using the ADER time discretization. J. Comput. Phys. Matthew R. Norman
2013	J	`jnl`	Progress towards accelerating HOMME on hybrid multi-core systems. Int. J. High Perform. Comput. Appl. Ilene Carpenter, Rick Archibald, Katherine J. Evans, Jeffrey M. Larkin, Paulius Micikevicius, Matthew R. Norman, James Rosinski, Jim Schwarzmeier, Mark A. Taylor
2012	J	`jnl`	Multi-moment ADER-Taylor methods for systems of conservation laws with source terms in one dimension. J. Comput. Phys. Matthew R. Norman, H. Finkel
2011	J	`jnl`	A low communication and large time step explicit finite-volume solver for non-hydrostatic atmospheric dynamics. J. Comput. Phys. Matthew R. Norman, Ramachandran D. Nair, Fredrick H. M. Semazzi