The main objective of this project is to extend today's possibilities of visualizing smoothed particle hydrodynamics (SPH) data directly, i.e., without prior resampling or triangulation. By combining a novel predictor-corrector approach to feature extraction with a GPU implementation of key operations, we aim at expressive visualization of extremely large SPH data sets.