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.
A technical overview about NVIDIA IndeX as an in-situ technology will be presented. In addition, we describe an interactive workflow between compute and graphic cycles within NVIDIA IndeX. A real-time live demo on the NVIDIA VCA cluster using more than 1 TB of scientific data is underlining the power of the in-situ technology.
While parallel processing and distributed computing are becoming increasingly popular for analyzing large datasets, it's extremely challenging to have interactive experiences with such large data. NVIDIA IndeX solves this by providing applications with a highly scalable, interactive solution for in-situ visualization of large-scale data processing and simulations. Come learn how IndeX accommodates custom applications and algorithms to scale linearly across a compute cluster for delivering highly interactive frame rates. The commercial use of IndeX by a major Oil & Gas company to visualize terabytes of seismic data will also be discussed.
NVIDIA indeX is a GPU cluster-based software solution that enables scalable real-time visualization of large-scale data and is used in the Oil & Gas industries for seismic data interpretation. Here, the visualized large-scale stacked seismic data result from pre-processing multi-dimensional or multi-valued raw data, which is multiple times larger. For instance, pre-processing approx. 54 terabyte of pre-stacked data typically generates the seismic attributes of just a 90 gigabyte stacked dataset for visualization. Parallel and distributed computing algorithms are commonly used to process the multi-dimensional or multi-values data on compute clusters. The NVIDIA indeX visualization framework enables the seamless integration of user-defined parallel and distributed compute algorithms to generate seismic attributes. NVIDIA indeX triggers the external compute algorithms and populate the scalable large-scale data rendering algorithm with the resulting seismic attributes for immediate real-time display.
The goal is to present an interactive visualization framework for large geo-spatial data. This framework has been developed by NVIDIA Advanced Rendering Center for the oil and gas (Hydrocarbone) industry. The Cuda based application is running on the cloud at interactive frame-rates. The visualization is remote on clients in a browser, including tablets. The scalable visualization framework can handle terra bytes of.