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Using performance models to understand scalable Krylov solver performance at scale for structured grid problems.
Paul R. Eller
Torsten Hoefler
William Gropp
Published in:
ICS (2019)
Keyphrases
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probabilistic model
model selection
machine learning
solving problems
problems involving
experimental data
decision problems
global scale
data sets
analytical methods
grid computing
statistical models
application domains
statistical model
scale space
prior knowledge
reinforcement learning