Hybrid Parallelization for Interactive Exploration in Virtual Environments

Virtual Reality has shown to be a useful tool in the visualization of complex flow simulation data sets. Maintaining interactivity for the user exploring unstructured, time-varying data demands parallel computing power. We propose a decoupling of interactive and non-interactive tasks to avoid latencies. We introduce an optimized resampling algorithm for unstructured grids which remains scalable using hybrid parallelization. With a resampled region-of-interest. interactive execution of arbitrary visualization techniques is made possible. To validate findings, the user can access different error metrics made during resampling.