  A highly efficient simulation model for 2D and 3D grain growth and
recrystallization was developed based on the level-set method. The model
introduces modern computational concepts to achieve excellent performance on
parallel computer architectures. Strong scalability was measured on ccNUMA
architectures. To achieve this, the proposed approach considers the application
of local level-set functions at the grain level. Ideal and non-ideal grain
growth was simulated in 3D with the objective to study the evolution of
statistical representative volume elements in polycrystals. In addition,
microstructure evolution in an anisotropic magnetic material affected by an
external magnetic field was simulated.
