Dohp is a toolkit for high order finite element computations. By assembling low-order preconditioning matrices while applying the Jacobian matrix-free, Dohp uses much less memory than other p-type finite element methods. By using tensor product bases, we further reduce the memory and CPU requirements. Dohp relies heavily on PETSc and uses the ITAPS iMesh interface for mesh management. It is intended for use in parallel domain-decomposition methods for strongly coupled nonlinear problems such as slow non-Newtonian incompressible flow and PDE-constrained optimization by the Lagrange-Newton-Krylov-Schur (LNKS) method.
Dohp is still very early in development so much of the above is not yet implemented.
Browse the source repository at http://github.com/jedbrown/dohp
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An implementation of the ``dual order hp'' version of the finite element method. This project targets parallel domain-decomposition methods for strongly coupled nonlinear problems with PDE constraints.