Adaptive Multigrid on Distributed Memory Computers

2 A general software package has been developed for solving systems of partial differential equations with adaptive multigrid methods (MLAT) on distributed memory computers. The package supports the dynamic mapping of refinement levels. The general strategy is described and results are reported on compute-intensive problems as well as on some simple problems representing worst-case situations from a parallel efficiency point of view. Inherent limitations of the parallel efficiency will be discussed.