Norman is a computational climate scientist in the Scientific Computing Group of Oak Ridge National Laboratory. He obtained two B.S. degrees, one in Computer Science and another in Meteorology from North Carolina State University (NCSU). After obtaining a M.S. degree in Atmospheric Science, also from NCSU, he received the DOE Computational Science Graduate Fellowship (CSGF), and his doctoral research was performed under Dr. Fredrick Semazzi at NCSU. His background is in scalable numerical algorithms to efficiently integrate the PDEs governing atmospheric fluid flow. He also has gained significant expertise in the use of Graphics Processing Units (GPUs) for climate model codes.

Norman is a developer for DOE’s Accelerated Model for Climate and Energy (ACME), and he is the on-node performance lead for the project. In this role, he has served also as a liaison for the ACME INCITE and ALCC projects (and for other domains and projects as well) to improve scientific output form the computing allocations. He is currently funded under the Exascale Computing Program (ECP) as well as the Center for Accelerated Application Readiness (CAAR).


North Carolina State University
Bachelor of Science (B.S.)
North Carolina State University
Computer Science
Bachelor of Science (B.S.)
North Carolina State University
Atmospheric Science
Master of Science (M.S.)
North Carolina State University
Computational Science
Doctor of Philosophy (Ph.D.)


2008 — DOE Computational Science Graduate Fellowship (CSGF)


2017 - Mahajan, Salil, Abigail L. Gaddis, Katherine J. Evans, and Matthew R. Norman. "Exploring an Ensemble-Based Approach to Atmospheric Climate Modeling and Testing at Scale." Procedia Computer Science 108 (2017): 735-744.

2017 - Kennedy, Joseph H., Andrew R. Bennett, Katherine J. Evans, Stephen Price, Matthew Hoffman, William H. Lipscomb, Jeremy Fyke et al. "LIVVkit: An extensible, python‐based, land ice verification and validation toolkit for ice sheet models." Journal of Advances in Modeling Earth Systems (2017).

2017 - Norman, Matthew R., Mametjanov, M Taylor. "Exascale Programming Approaches for the Accelerated Model for Climate and Energy." In Exascale Scientific Applications: Scalability and Performance Portability, edited by Straatsma et al., 187-206. Chapman and Hall/CRC, 2017.

2015 - Norman, Matthew, Jeffrey Larkin, Aaron Vose, and Katherine Evans. "A case study of CUDA FORTRAN and OpenACC for an atmospheric climate kernel." Journal of computational science 9 (2015): 1-6.

2015 - Norman, Matthew R. "Hermite WENO limiting for multi-moment finite-volume methods using the ADER-DT time discretization for 1-D systems of conservation laws." Journal of Computational Physics 282 (2015): 381-396.

2015 - Norman, Matthew R. "Arbitrarily High-Order-Accurate, Hermite WENO Limited, Boundary-Averaged Multi-Moment Constrained Finite-Volume (BA-MCV) Schemes for 1-D Transport." Procedia Computer Science 51 (2015): 2688-2697.

2015 - Norman, Matthew R. "Developing A Large Time Step, Robust, and Low Communication Multi-Moment PDE Integration Scheme for Exascale Applications." Procedia Computer Science 51 (2015): 1848-1857.

2014 - Norman, Matthew R. "A WENO-limited, ADER-DT, finite-volume scheme for efficient, robust, and communication-avoiding multi-dimensional transport." Journal of Computational Physics 274 (2014): 1-18.

2014 - Ullrich, Paul A., and Matthew R. Norman. "The Flux‐Form Semi‐Lagrangian Spectral Element (FF‐SLSE) method for tracer transport." Quarterly Journal of the Royal Meteorological Society 140, no. 680 (2014): 1069-1085.

2013 - Norman, M. R. "Algorithmic improvements for schemes using the ADER time discretization." Journal of Computational Physics 243 (2013): 176-178.

2013 - Norman, Matthew R. "Targeting Atmospheric Simulation Algorithms for Large, Distributed-Memory, GPU-Accelerated Computers." In GPU Solutions to Multi-scale Problems in Science and Engineering, pp. 271-282. Springer Berlin Heidelberg, 2013.

2012 - Norman, Matthew R., and H. Finkel. "Multi-moment ADER-Taylor methods for systems of conservation laws with source terms in one dimension." Journal of Computational Physics 231, no. 20 (2012): 6622-6642.

2011 - Norman, Matthew R., Ramachandran D. Nair, and Fredrick HM Semazzi. "A low communication and large time step explicit finite-volume solver for non-hydrostatic atmospheric dynamics." Journal of Computational Physics 230, no. 4 (2011): 1567-1584.

2011 - Norman, Matthew Ross. Characteristics-Based Methods for Efficient Parallel Integration of the Atmospheric Dynamical Equations. North Carolina State University, 2011.

2009 - Norman, Matthew R., Fredrick HM Semazzi, and Ramachandran D. Nair. "Conservative cascade interpolation on the sphere: An intercomparison of various non‐oscillatory reconstructions." Quarterly Journal of the Royal Meteorological Society 135, no. 640 (2009): 795-805.

2008 - Norman, Matthew R., and Ramachandran D. Nair. "Inherently conservative nonpolynomial-based remapping schemes: Application to semi-Lagrangian transport." Monthly Weather Review 136, no. 12 (2008): 5044-5061.

2008 - Norman, Matthew Ross. "Investigation of Higher-Order Accuracy for a Conservative Semi-Lagrangian Discretization of the Atmospheric Dynamical Equations." (2008).

2005 - Semazzi, Fredrick HM, Jeffrey S. Scroggs, George A. Pouliot, Analemma Leia Mckee-Burrows, Matthew Norman, Vikram Poojary, and Yu-Ming Tsai. "On the accuracy of semi-Lagrangian numerical simulation of internal gravity wave motion in the atmosphere." Journal of the Meteorological Society of Japan. Ser. II 83, no. 5 (2005): 851-869.