  The Voronoi diagrams are an important tool having theoretical and practical
applications in a large number of fields. We present a new procedure,
implemented as a set of CUDA kernels, which detects, in a general and efficient
way, topological changes in case of dynamic Voronoi diagrams whose generating
points move in time. The solution that we provide has been originally developed
to identify plastic events during simulations of soft-glassy materials based on
a Lattice Boltzmann model with frustrated-short range attractive and
mid/long-range repulsive-interactions. Along with the description of our
approach, we present also some preliminary physics results.
