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GTC On-Demand

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Abstract:
Large-scale scientific simulation campaigns involve collaboration efforts sharing diversity in expertise and geographic location. Collaboration extends through the life cycle of the data from computation to analysis and visualization. This talk will present how SIGHT, an exploratory visualization tool for large-scale atomistic datasets, leverages Web technologies and GPU based solutions for collaborative scientific visualization in HPC environments. Our approach includes a multi-streaming prototype that takes advantage of NvPipe for close to zero latency video compression and, NVIDIA Optix to generate simultaneous and independent user views, all to facilitate common analysis tasks in Materials Science.
Large-scale scientific simulation campaigns involve collaboration efforts sharing diversity in expertise and geographic location. Collaboration extends through the life cycle of the data from computation to analysis and visualization. This talk will present how SIGHT, an exploratory visualization tool for large-scale atomistic datasets, leverages Web technologies and GPU based solutions for collaborative scientific visualization in HPC environments. Our approach includes a multi-streaming prototype that takes advantage of NvPipe for close to zero latency video compression and, NVIDIA Optix to generate simultaneous and independent user views, all to facilitate common analysis tasks in Materials Science.  Back
 
Topics:
In-Situ and Scientific Visualization, Rendering and Ray Tracing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9490
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Abstract:

Learn to leverage the visualization capabilities of the NVIDIA DGX-1 system to visualize particle data. We'll cover techniques suitable for exploratory visualization such as parallel dataset reading and reduction on demand with ADIOS I/O library, GPU-based optimization techniques for particle rendering such as radar view frustum culling, occlusion culling, texture-less point sprites, and OpenGL near zero driver overhead methods. We'll also include implementation details to take advantage of the eight NVIDIA Pascal? GPUs included in the NVIDIA DGX-1.

Learn to leverage the visualization capabilities of the NVIDIA DGX-1 system to visualize particle data. We'll cover techniques suitable for exploratory visualization such as parallel dataset reading and reduction on demand with ADIOS I/O library, GPU-based optimization techniques for particle rendering such as radar view frustum culling, occlusion culling, texture-less point sprites, and OpenGL near zero driver overhead methods. We'll also include implementation details to take advantage of the eight NVIDIA Pascal? GPUs included in the NVIDIA DGX-1.

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Topics:
In-Situ and Scientific Visualization, Real-Time Graphics, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7175
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