Overview
Personal Profile
Jon Rood is a computational scientist at NLR. He currently works on performance engineering of next-generation applications for both wind energy and combustion energy under the U.S. Department of Energy’s Exascale Computing project. He has also previously worked on high-performance computing projects for agent-based simulations of ancient societies at Argonne National Laboratory, instrument analysis applications for NASA while at Tech-X Corporation, bioinformatics applications while at Lawrence Berkeley National Laboratory, and weather and climate applications while at ETH Zürich.
Professional Experience
Computational Scientist, ETH Zurich (2015–2016)
High Performance Computing Consultant, Lawrence Berkeley National Laboratory (2013–2015)
Computational Scientist, Tech-X Corporation (2012–2013)
Education/Academic Qualification
Bachelor, Computer Science, Dakota State University
PhD, Computational Science, South Dakota State University
Master, Computer Science, University of South Dakota
Fingerprint
- 1 Similar Profiles
Collaborations and Top Research Areas From the Past 5 Years
-
AMR-Wind: A Performance-Portable, High-Fidelity Flow Solver for Wind Farm Simulations: Article No. e70010
Kuhn, M., Henry de Frahan, M., Mohan, P., Deskos, G., Churchfield, M., Cheung, L., Sharma, A., Almgren, A., Ananthan, S., Brazell, M., Martinez-Tossas, L., Thedin, R., Rood, J., Sakievich, P., Vijayakumar, G., Zhang, W. & Sprague, M., 2025, In: Wind Energy. 28, 5, 30 p.Research output: Contribution to journal › Article › peer-review
6 Scopus Citations -
SUNDIALS Time Integrators for Exascale Applications with Many Independent Systems of Ordinary Differential Equations
Balos, C., Day, M., Esclapez, L., Felden, A., Gardner, D., Hassanaly, M., Reynolds, D., Rood, J., Sexton, J., Wimer, N. & Woodward, C., 2025, In: International Journal of High Performance Computing Applications. 39, 1, p. 123-146 24 p.Research output: Contribution to journal › Article › peer-review
2 Scopus Citations -
ExaWind: Open-Source CFD for Hybrid-RANS/LES Geometry-Resolved Wind Turbine Simulations in Atmospheric Flows
Sharma, A., Brazell, M., Vijayakumar, G., Ananthan, S., Cheung, L., deVelder, N., Henry de Frahan, M., Matula, N., Mullowney, P., Rood, J., Sakievich, P., Almgren, A., Crozier, P. & Sprague, M., 2024, In: Wind Energy. 27, 3, p. 225-257 33 p.Research output: Contribution to journal › Article › peer-review
37 Scopus Citations -
Multiphysics Time-Integration for Turbulent Combustion at the Exascale
Day, M., Wimer, N., Hassanaly, M., Esclapez, L., Felden, A., Ream, J., Henry de Frahan, M. & Rood, J., 2024, 22 p.Research output: NLR › Presentation
-
Symbolic Construction of the Chemical Jacobian of Quasi-Steady State (QSS) Chemistries for Exascale Computing Platforms: Article No. 113740
Hassanaly, M., Wimer, N., Felden, A., Esclapez, L., Ream, J., Henry de Frahan, M., Rood, J. & Day, M., 2024, In: Combustion and Flame. 270, 16 p.Research output: Contribution to journal › Article › peer-review
9 Scopus Citations