  Interactive high-performance computing is doubtlessly beneficial for many
computational science and engineering applications whenever simulation results
should be visually processed in real time, i.e. during the computation process.
Nevertheless, interactive HPC entails a lot of new challenges that have to be
solved - one of them addressing the fast and efficient data transfer between a
simulation back end and visualisation front end, as several gigabytes of data
per second are nothing unusual for a simulation running on some (hundred)
thousand cores. Here, a new approach based on a sliding window technique is
introduced that copes with any bandwidth limitations and allows users to study
both large and small scale effects of the simulation results in an interactive
fashion.
