Dr. Judith Hill is currently a Computational Scientist in and the Group Leader for the Scientific Computing Group at the National Center for Computational Sciences at Oak Ridge National Laboratory. She is also the Program Manager for the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program at the Leadership Computing Facilities at ORNL and ANL. Prior to joining ORNL, she was a member of the Computation, Computers, Information and Mathematics Center at Sandia National Laboratories from 2005 to 2008.
Dr. Hill specializes in the development, implementation, and application of numerical methods for massively parallel computers to a variety of applications in computational fluid dynamics. Her interests include multiphysics and multidomain coupling methods, implicit interface methods, and large-scale PDE-constrained optimization. She is a developer of the MADNESS software framework (http:// www.csm.ornl.gov/ccsg/html/projects/madness.html), a 2011 R&D 100 award winner, which is used by many applications ranging from molecular physics to continuum fluid dynamics. She serves as a reviewer for Computer Physics Communications, the International Journal of Numerical Methods in Engineering, Applied Numerical Mathematics, Supercomputing, INCITE, and both DOD and DOE ASCR proposals and has served on the programming committee for several conferences. In 2005, she was named the Fred Howes Scholar in Computational Science for her leadership, character and technical achievement in the field of computational science.
Dr. Hill earned her Ph.D. in Computational Science and Engineering from Carnegie Mellon University.
R&D Activities Contributions
Center for Accelerated Application Readiness (CAAR) - In preparation for next-generation supercomputer Summit, the Oak Ridge Leadership Computing Facility (OLCF) selected 13 partnership projects into its Center for Accelerated Application Readiness (CAAR)…
Exascale Computing Project – Interoperable Design of Extreme-scale Application Software (IDEAS) - The IDEAS Project is intent on improving scientific productivity by qualitatively changing scientific software developer productivity, enabling a fundamentally different attitude to creating and supporting…
2012 - M. G. Reuter, J. C. Hill, R. J. Harrison. Solving PDEs in irregular geometries with multiresolution methods I: Embedded Dirichlet boundary conditions. Communications in Computer Physics. 183(1), 2012.
2012 - J. Pei, G. Fann, R. Harrison, W. Nazarewicz, J. Hill, D. Galindo, and J. Jia. Coordinate-Space Hartree-Fock-Bogoliubov Solvers for Superﬂuid Fermi Systems in Large Boxes. Proceedings of the Conference on Computational Physics 2011, Gatlinburg, Tennessee, October 30 - November 3, 2011. Journal of Physics: Conference Series. 2012.
2012 - E. D’Azevedo and J.C. Hill. Parallel LU Factorization on a GPU cluster. Procedia Computer Science. Vol. 9, pp. 67-75. 2012.
2012 - M. G. Reuter and J. C. Hill. An Efficient, Block-by-Block Algorithm for Inverting a Block Tridiagonal, Nearly Block Toeplitz Matrix. Computational Science & Discovery. 5. 2012.
2013 - J. Jia, J. Hill, K. Evans and G. Fann. A spectral deferred correction method in time applied to solving the shallow-water equations. Monthly Weather Review. 141(10): 3435-3449. 2013.
2013 - M. Lefebvre, E. Bozdag, H. Calandra, J. Hill, W. Lei, D. Peter, N. Podhorszki, D. Pugmire, H. Rusmanugroho, J. Smith, J. Tromp. A Data Centric View of Large-Scale Seismic Imaging Workflows. Proc. of 4th SC Workshop on Petascale (Big) Data Analytics: Challenges and Opportunities. 2013.
2015 - C. Garrett, C. Hauck, and J. Hill. Optimization and Large Scale Computation of an Entropy Based Moment Closure. Journal of Computational Physics. December, 2015.
2015 - B. Messer, E. D’Azevedo, J. Hill, W. Joubert, S. Laosooksathit, and A. Tharrington. Developing MiniApps on Modern Platforms Using Multiple Programming Models. Proceedings of the 2015 IEEE International Conference on Cluster Computing. October, 2015.
2016 - B. Messer, E. D’Azevedo, J. Hill, W. Joubert, M. Berrill, C. Zimmer. MiniApps Derived from Production HPC Applications Using Multiple Programming Models. International Journal of High Performance Computing Applications. 2016.
2016 - E. Bozdag, D. Peter, M. Lefebvre, D. Komatitsch, J. Tromp, J. Hill, N. Podhorszki, and D. Pugmire. Global Adjoint Tomography: First-Generation Model. Geophysics Journal International. 207 (3). December, 2016
2017 - M. Lefebvre, Y. Chen, W. Lei, D. Luet, Y. Ruan, E. Bozdaĝ, J. Hill, D. Komatitsch, L. Krischer, D. Peter, N. Podhorszki, J. Smith, and J. Tromp. "Data and Workflow Management for Exascale Global Adjoint Tomography", in Exascale Scientific Applications: Scalability and Performance Portability. T. Straatsma, K. Antypas, and T. Williams, eds. CRC Press. 2017.
- S. Weisenberg, S. TerMaath, C. Barbier, J. Hill, and J. Killeffer. A Computational Fluid Dynamics Simulation Framework for Ventricular Catheter Design Optimization. Journal of Neurosugery. To appear.