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Domain decomposition on parallel computers
William D. Gropp
, David E. Keyes
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Keyphrases
Parallel Computer
100%
Domain Decomposition
100%
Popular
50%
Tight
50%
Parallel Implementation
50%
Parameter Space
50%
Numerical Experiments
50%
Degrees of Freedom
50%
Information Sharing
50%
Partial Differential Equations
50%
Domain Decomposition Method
50%
Model Complexity
50%
Intel
50%
Convergence Rate
50%
Granularity
50%
Shared Memory
50%
Number of Iterations
50%
Induced Pluripotent Stem Cells (iPSCs)
50%
Encore
50%
Message Passing
50%
Concurrency
50%
General Systems
50%
PDE Discretizations
50%
Sparse Linear Systems
50%
Self-adjoint
50%
Discrete System
50%
Large Problem Size
50%
Domain Decomposition Preconditioner
50%
Elliptic Problems
50%
Unit Square
50%
Computer Science
Parallel Computer
100%
Domain Decomposition
100%
Preconditioner
66%
Parameter Space
33%
Practical Interest
33%
Parallel Implementation
33%
Linear Systems
33%
Convergence Rate
33%
Shared Memories
33%
Subdomains
33%
MIMD
33%
Partial Differential Equation
33%
Message Passing
33%
Concurrency
33%
Discretization
33%
Granularity
33%
Iteration Count
33%
Machine Problem
33%
Model Complexity
33%
Large Problem Size
33%
Discrete Systems
33%
Mathematics
Domain Decomposition
100%
Partial Differential Equation
66%
Parameter Space
33%
Discretization
33%
Numerical Experiment
33%
Degree of Freedom
33%
Convergence Rate
33%
Self-Adjoint
33%
Sparse Linear Systems
33%
Unit Square
33%