Hi all,
I had a legacy code were PETScWrappers::MPI::Vectors were used to for
parallel computing. For very large problems, I was told to move to
Trilinos. It was fairly easy to do so for most part of the code but I am
stuck in the implementation of boundary values. Currently the boundary
values are implemented as follows:
template<int dim>
void ElasticityEquation<dim>::apply_boundary_conditions(const double time,
const double velocity)
{
// Begin timer
TimerOutput::Scope t(computing_timer, "Apply Boundary Condition");
boundary_values.clear();
VectorTools::interpolate_boundary_values
(dof_handler,2,ZeroFunction<dim>(dim),boundary_values);
VectorTools::interpolate_boundary_values
(dof_handler,3,BoundaryValues<dim>(time, velocity) , boundary_values);
// The range of owned dofs
std::pair<unsigned int, unsigned int> range = solution.local_range();
// Set the boundary conditions
for (typename std::map<unsigned int, double>::const_iterator i =
boundary_values.begin(); i != boundary_values.end(); ++i){
if (i->first >= range.first && i->first < range.second){
completely_distributed_solution(i->first) = i->second;
}
}
completely_distributed_solution.compress(VectorOperation::insert);
hanging_constraints.distribute( completely_distributed_solution);
solution = completely_distributed_solution;
}
This used to work fine with PETSc but not with Trilinos. The issue seems to
be the fact the Trilinos does not arrange the vector contiguous ranges of
elements (
https://www.dealii.org/current/doxygen/deal.II/classTrilinosWrappers_1_1MPI_1_1Vector.html#abcc22742227d63950cb0995223e6ee32)
. Is there a standard workaround?
Thanks
Vivek
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