David Keyes

Calculated based on number of publications stored in Pure and citations from Scopus
1980 …2024

Research activity per year

Personal profile

Research Overview

Keyes works at the algorithmic interface between parallel computing and the numerical analysis of partial differential equations, with a focus on implicit scalable solvers for emerging architectures and their use in the many large-scale applications in energy and environment governed by conservation laws that demand high performance because of high resolution, high dimension, high fidelity physical models, or the "multi-solve" requirements of optimization, control, sensitivity analysis, inverse problems, data assimilation, or uncertainty quantification. He has named and contributed to Newton-Krylov-Schwarz (NKS), Additive Schwarz Preconditioned Inexact Newton (ASPIN), and Algebraic Fast Multipole (AFM) methods for large sparse linear and nonlinear systems arising from PDEs. Through the ECRC, he now works on meeting the requirements of drastic reductions in communication and synchronization, increases in concurrency for cores sharing memory locally, local load redistribution, and algorithm-based fault tolerance for these and other algorithms.

Key Research Areas

Applied Mathematics and Computational Science, Computer Science, Extreme Computing

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education

Applied Mathematics, Ph.D., Harvard University

1984

Award Date: Jan 1 1984

Applied Mathematics, M.S., Harvard University

1979

Award Date: Jan 1 1979

Aerospace and Mechanical Sciences, B.E., Princeton University

1978

Award Date: Jan 1 1978

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