Although computer networks are inherently parallel systems the parallel execution of network
simulations on interconnected processors frequently yields only limited benefits. In this
thesis methods are proposed to estimate and understand the parallelization potential of
network simulations. Further mechanisms and architectures for exploiting the massively
parallel processing resources of modern graphics cards to accelerate network simulations are
proposed and evaluated.
