Matthew Knepley

PhD

Matthew Knepley.

Matthew Knepley

PhD

Matthew Knepley

PhD

Professor
Co-Director of Graduate Studies
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Affiliated Faculty
Department of Mechanical and Aerospace Engineering
School of Engineering and Applied Sciences

Research Topics

Scalable linear and nonlinear solvers for multiphysics problems; bioelectrostatics, classical density functional theory, and molecular modeling; geophysical modeling in crustal deformation, mantle convection, and magma dynamics; scientific library development and automated scientific computing; libraries and code generation for high performance computing and GPUs; FEM and BEM discretizations

Biography Teaching Research Students

Research Areas

  • Algorithms and Complexity
    8/13/24
    Computer science theory assesses which problems are possible and feasible to solve through theories of computability, undecidability, complexity, reducibility, and approximability.
  • High-Performance Computing
    1/17/23
    Focuses on efficient experimental and theoretical solutions to problems on state-of-the-art computational systems consisting of large numbers of computational elements, including clouds, clusters, grids, networks-of-workstations, massively parallel supercomputers, and GPU-based systems.