Matthew Knepley

PhD

Matthew Knepley

PhD

Research Topics

Scalable linear and nonlinear solvers for multiphysics problems; bioelectrostatics and molecular modeling for ion channels; 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; efficient solvers and preconditioners for GPUs and accelerators; finite element and boundary element discretizations for nonlinear problems; classical density functional theory, theory and numerics

Contact Information

211A Capen Hall

Buffalo NY, 14260

Phone: (716) 645-0747

knepley@buffalo.edu

Biography Teaching Research

Research Areas

1/23/20
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.
1/23/20
Computer science theory assesses which problems are possible and feasible to solve through theories of computability, undecidability, complexity, reducibility, and approximability.