As attention is focused upon the “time to solution”, it becomes obvious that the entire process must be taken into account – not just the cost and efficiency of the solver. Amdahl’s Law tells us that any serial portion of the application will be the limiting factor in scalability. Therefore it does not matter how efficient a solver is if both the pre- and post-processing have not been given the same focus towards scalability. The most obvious way to insure that a scalable process exists is to view the process as an integrated whole and remove any serial portions. The work discussed in this paper makes geometry available in a parallel environment to support parallel mesh generation, solver-based grid adaptation, and the curving of linear meshes to support high(er) order spacial discretizations.