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GTC ON-DEMAND

In-Situ & Scientific Visualization
Presentation
Media
Visualize Your Large Datasets
Abstract:
Visualization is a key component of many computational science disciplines. In the past, only typical HPC domains like computational fluid dynamics or cosmology had dataset sizes large enough to require sophisticated multi-node visualization tools. But with increasing detector sizes and large neural networks or higher resolution models, application domains that typically used single node visualization suddenly need performance that goes beyond a single node. In addition, rendering techniques using ray tracing or VR can dramatically increase the visual cues of visualizations, offering novel ways to investigate the data. In this presentation we will look at a range of large data problems and a palette of GPU-Accelerated visualization tools, and see how they can help in a range of use cases.
 
Topics:
In-Situ & Scientific Visualization, Deep Learning & AI Frameworks, Medical Imaging & Radiology
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9681
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