We'll discuss how NVIDIA IndeX Advanced Rendering Tools are helping researchers get more insight through in-situ visualizations. HPC applications have always been centered around large computations, small input, and extremely large simulated output. HPC applications running on big supercomputers are executed using a queuing system, where researchers have to wait a couple of hours before analyzing the outputs. We've designed essential software components that allow in-situ visualizations of sparse volume data from ALYA multiphysics simulation code (Barcelona Supercomputing Center) using NVIDIA IndeX. ALYA multiphysics is one of the two European exascale benchmarks and is used in targeted medicine, cardiac modeling, renewable energy, etc. We'll guide you through techniques that have been used in enabling in-situ rendering and analysis of data
We explore NVIDIA advanced rendering products for visualizations. HPC generates terabytes of simulation data. Post-processing and visualization of the simulation data can give scientists and engineers a good insight in the simulation process. Large scale visualizations require distributed rendering process for seamless experience. In this talk we describe our experience and techniques in using NVIDIA rendering products for bio-mechanical simulation of human respiratory system.