David Keyes

David Keyes

Adjunct Professor

Research Interests

  • Applied and Computational Mathematics for PDEs
  • Computational Science
  • Parallel Numerical Algorithms
  • Parallel Performance Analysis
  • PDE-Constrained Optimization

Additional Information

  • Education

    Ph.D. Applied Mathematics, Harvard University, 1984

    M.S. Applied Mathematics, Harvard University, 1979

    B.S. Engineering, Aerospace and Mechanical Sciences, Summa Cum Laude, Princeton University, 1978

    Certificate, Program in Engineering Physics, Princeton University, 1978

  • Selected Publications

    R. Yokota, G. Turkiyyah & D. Keyes, "Communication Complexity of the Fast Multipole Method and its Algebraic Variants", Supercomput. Front. and Innov., 1:62–83, 2014.

    D. Keyes et al. "Multiphysics Simulations: Challenges and Opportunities", Int. J. High Performance Computing Applications 27:5–83, 2013.

    D. E. Keyes. "Exaflop/s – the Why and the How", Comptes Rendus 339:70–77, 2011.

    D. A. Knoll & D. E. Keyes. "Jacobian-Free Newton-Krylov Methods: A Survey of Approaches and Applications", J. Comput. Phys., 193:357–397, 2004.

    X.-C. Cai & D. E. Keyes. "Nonlinear Preconditioned Inexact Newton Algorithms", SIAM J. Sci. Comp. 24:183–200, 2002.