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Public mirror of CMDA capstone code which predicits optimal MueLu parameters using a neural network

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MueLuML

author: The Preconditioners (Jack Alvarez, Ben Bilbro, Thomas Grady)

client: Sandia Labs

sponsor: Mark Embree

date: 9/17/2019

Machine Learning for optimizing Trilinos' AMG MueLu package. Created for Virginia Tech CMDA 2019 Capstone with Sandia Labs.

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Public mirror of CMDA capstone code which predicits optimal MueLu parameters using a neural network

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