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Interactive Visualization Techniques for Large-Scale Particle Simulations

In this thesis, I investigate scalability limitations in the visualization of large-scale particle-based simulations and present methods to allow the interactive rendering of billion-particle data sets on PC hardware. I develop a hierarchical visually continuous multi-resolution particle representation, present an efficient out-of-core and in-core data management, and propose techniques to exploit the capabilities of current GPUs to enable interactive visual data exploration. Furthermore, I introduce a novel volume rendering pipeline for efficient high-quality visualization of particle data. Finally, I present a new hierarchical space-time data structure for particle sets, which allows for a scale-space analysis of structural formation processes in the simulated fields. I demonstrate the quality and performance of my methods for the rendering of fluid and gas dynamics SPH simulations consisting of millions to billions of particles.