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'll give a technical overview of the NVIDIA IndeX architecture that enables instant visualization of simulation and compute data, details on the interface design and use. Further, NVIDIA IndeX's capabilities are demonstrated by real-world solutions, which include a real-time weather prediction and a seismic wave-propagation algorithm.