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ASGarD - Adaptive Sparse Grid Discretization

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

The ASGarD project has the goal of building an 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 tecnique" when applied to sparse-grids).

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

  • (TODO) user docs about building/using the code
  • (TODO) docs about the method

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 is led by David Green ([email protected]) at Oak Ridge National Laboratory.

Dependencies

  • C++17
  • cmake 3.13
  • blas

Quickstart

Download and build

git clone https://github.com/project-asgard/asgard.git
cd asgard
mkdir build
cmake ../
make
ctest
./asgard

Specific build instructions

OSX (tested on Mojave)

git clone https://github.com/project-asgard/asgard.git
cd asgard
mkdir build
cd build
cmake ../ -DASGARD_BUILD_OPENBLAS=1
make
ctest
./asgard

References

Pointers to papers, posters, and presentations about both the method and the code go here.