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The code adds a spectral solver capability to the MOOSE ecosystem. It operates on regular orthogonal grids, often used for representative volume elements. This new solver can operate on graphics processing units (GPUs) and can couple to existing MOOSE models.

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idaholab/swift

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Swift

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Swift is a Fourier spectral solver application based on the MOOSE Finite Element Framework.

Contacts

The primary developer of Swift is Daniel Schwen. In case of questions or problems please file a GitHub issue.

Why another spectral solver?

Swift...

  • ...uses familiar MOOSE input format
  • ...can couple to MOOSE FE/FV models
  • ...can utilize MOOSE postprocessing objects
  • ...uses MOOSE input/outputs
  • ...integrates with the MOOSE multiapp and transfers system (enabling it to work with stochastic tools to MCMC sample thousands of Swift mesoscale models, perform inverse Bayesian inference, parameter calibration, UQ etc.)
  • ...is fully device independent through libTorch
  • ...has all its dependencies provided by MOOSE alone
  • ...is focussed on ease of model development (with runtime parsed expressions, just-in-time compilation, and automatic dependency resolution)
  • ...supports runing models on GPUs

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License

Copyright 2024 Battelle Energy Alliance, LLC

This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA

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The code adds a spectral solver capability to the MOOSE ecosystem. It operates on regular orthogonal grids, often used for representative volume elements. This new solver can operate on graphics processing units (GPUs) and can couple to existing MOOSE models.

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