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ASGarD - Adaptive Sparse Grid Discretization

The ASGarD project has the goal of building a solver specifically targeting high-dimensional PDEs where the "curse-of-dimensionality" has previously precluded useful continuum / Eularian (grid or mesh based as opposed to Monte-Carlo sampling) simulation. Our approach is based on a Discontinuous-Galerkin finite-element solver build atop an adaptive hierarchical sparse-grid (note this is different from the "combination technique" when applied to sparse-grids).

To cite the ASGarD code in your work, please use:

Papers using ASGarD:

Documentation of usage: https://project-asgard.github.io/asgard/

The developer documentation contains information about how to contribute to the ASGarD project.

Contact Us

Issues are a great way to discuss all aspects of the ASGarD project, whether it is to ask a general question, request a new feature, or propose a contribution to the code base.

The ASGarD project was initiated by David Green at Oak Ridge National Laboratory.

For technical questions, contact Miroslav Stoyanov (stoyanovmk@ornl.gov) at Oak Ridge National Laboratory.

Automated Test Status

Ubuntu-tested MacOSX-tested

Dependencies

  • C++17
  • cmake 3.19
  • BLAS/LAPACK

See the detailed Installation instructions.

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