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Visualize your Data!
Peter Messmer, NVIDIA
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. We'll 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.