Judith Hill

  • Program Years: 1999-2003
  • Academic Institution: Carnegie Mellon University
  • Field of Study: Mechanics, Algorithms and Computing
  • Academic Advisor: Omar Ghattas
  • Practicum(s):
    Sandia National Laboratories, California (2000)
  • Degree(s):
    Ph.D. Computational Science and Engineering, Carnegie Mellon, 2004
    M.S. Civil and Environmental Engineering, Carnegie Mellon, 1999
    B.S. Civil Engineering, Kansas State University, 1997

Current Status

  • Status: Livermore Computing, Lawrence Livermore National Laboratory
  • Research Area: Computational Fluid Dynamics, PDE-Constrained optimization, Applied Mathematics

Publications

M. Lefebvre, Y. Chen, W. Lei, D. Luet, Y. Ruan, E. Bozdag, 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.

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

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.

R.J. Harrison, et. al. MADNESS: A multiresolution, adaptive numerical environment for scientific simulation. SIAM Journal on Scientific Computing. 38 (5). 2016.

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.


C. Garrett, C. Hauck, and J. Hill. Optimization and Large Scale Computation of an Entropy Based Moment Closure. Journal of Computational Physics. 302: 573-590. 2015.

A. Wingen, M.W. Shafer, E.A. Unterberg, J.C. Hill, and D.L. Hillis. Regularization of soft-X-ray imaging in the DIII-D tokamak. Journal of Computational Physics. 289: 83-95. 2015.

N. Boffi, J.C. Hill and M.G. Reuter. Characterizing the Inverses of Block Tridiagonal, Block Toeplitz Matrices. Computational Science and Discovery. 8. 2015.

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.

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.

D. E. Keyes, L. C. McInnes, C. Woodward, W. D. Gropp, E. Myra, M. Pernice, J. Bell, J. Brown, A. Clo, J. Connors, E. Constantinescu, D. Estep, K. Evans, C. Farhat, A. Hakim, G. Hammond, G. Hansen, J. Hill, T. Isaac, X. Jiao, K. Jordan, D. Kaushik, E. Kaxiras, A. Koniges, K. Lee, A. Lott, Q. Lu, J. Magerlein, R. Maxwell, M. McCourt, M. Mehl, R. Pawlowski, A. Randles, D. Reynolds, B. Riviere, U. Rude, T. Scheibe, J. Shadid, B. Sheehan, M. Shephard, A. Siegel, B. Smith, X. Tang, C. Wilson, and B. Wohlmuth. Multiphysics Simulations: Challenges and Opportunities. International Journal for High Performance Computing Applications. 27(1): 4-83. 2013.

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.

E. D'Azevedo and J.C. Hill. Parallel LU Factorization on a GPU cluster. Procedia Computer Science. Vol. 9, pp. 67-75. 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.

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.

H.P. Flath, L.C. Wilcox, V. Akcelik, J. Hill, B. van Bloemen Waanders, O. Ghattas. Fast algorithms for Bayesian uncertainty quantification in large-scale linear inverse problems based on low-rank partial Hessian approximations. SIAM Journal on Scientific Computing. 33(1), 2011.

G. I. Fann, J. Pei, R. J. Harrison, J. Jia, J. Hill, M. Ou, W. Nazarewicz, W. A. Shelton and N. Schunck. Fast multiresolution methods for density functional theory in nuclear physics. Proc. of SciDAC 2009.

J. Jia, J. C. Hill, G. I. Fann and R. J. Harrison. Multiresolution fast methods for a periodic 3-D Navier-Stokes solver. Proc. of the International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES). 2009.

O. Bashir, K. Willcox, O. Ghattas, B. van Bloemen Waanders, and J. Hill, Hessian-based model reduction for large-scale systems with initial condition inputs, International Journal for Numerical Methods in Engineering. 73(6), 2008.

J. Hill, B. van Bloemen Waander and C. Laird. Source inversion using changes in water quality parameter. 8th Annual International Symposium on Water Distribution Systems Analysis, Cincinnati, OH, August, 2006.

V. Akcelik, G. Biros, O. Ghattas, J. Hill, D. Keyes and B. van Bloemen Waanders. "Parallel algorithms for PDE-constrained optimization", in Parallel Processing for Scientific Computing, M. Heroux, P. Raghaven and H. Simon, eds, SIAM, 2006.

V. Akcelik, G. Biros, A. Draganescu, O. Ghattas, J. Hill and B. van Bloemen Waanders. "Inversion of Airborne Contaminants in a Regional Model", in Lecture Notes in Computer Science, v. 3993, 2006.

V. Akcelik, G. Biros, A. Draganescu, O. Ghattas, J. Hill and B. van Bloeman Waanders. Dynamic data-driven inversion for terascale simulations: Real-time identification of airborne contaminants. Proceedings of SC2005, IEEE/ACM, Seattle, WA, November 2005.

Awards

2011, R&D 100 Award for MADNESS software framework
2005, DOE CSGF Howes Scholar
2003, SIAM Student Travel Award to attend SIAM CSE Conference
1997-1999, National Science Foundation Graduate Research Fellowship
1997-2001, Carnegie Scholar
1997, 2001, 2003, CMU Civil and Environmental Engineering Graduate Student Service Award