Hybrid Parallelization for Multi-View Visualization of Time-Dependent Simulation Data

Abstract

Interactive analysis using multiple linked views has been successfully applied to time-dependent simulation data. In this paper we extend previous work by embedding multiple views in a virtual environment. Here, we combine 3D scatterplots with direct interaction and natural stereoscopic viewing. In order to deal with today's simulation data effectively, we propose a hybrid parallelization scheme based on distributing the workload between a powerful compute back-end and a rendering client. It minimizes the amount of latency introduced by the distributed setup, which is vital in order to facilitate highly interactive operations such as brushing. We illustrate the effectiveness of our approach in a case study from the field of flow visualization.