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GTC ON-DEMAND

Presentation
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Abstract:
Assessing complex, multi-dimensional scientific data visually requires custom and well-design visualization strategies that target the human's visual perception. NVIDIA IndeX grants scientists and developers access to its innermost raycasting operations and lets them inject CUDA code that is compiled and executed at runtime to customize the appearance of data samples. In this way, scientists and developers can leverage NVIDIA IndeX as an effective tool for creating user-defined and domain-specific advanced visualization techniques and for applying these techniques to enormously large scientific data interacitvely for substantial visual insight into the data. The tutorial guides scientists and developers through the process of creating and implementing custom visualization techniques using NVIDIA IndeX and CUDA runtime compilation functionality. With the help of well-choosen and constantly evolving example the tutorial will teach the audience how easily comprehensive visualization techniques can be implemented to gain deep insight into complex scientific data.
Assessing complex, multi-dimensional scientific data visually requires custom and well-design visualization strategies that target the human's visual perception. NVIDIA IndeX grants scientists and developers access to its innermost raycasting operations and lets them inject CUDA code that is compiled and executed at runtime to customize the appearance of data samples. In this way, scientists and developers can leverage NVIDIA IndeX as an effective tool for creating user-defined and domain-specific advanced visualization techniques and for applying these techniques to enormously large scientific data interacitvely for substantial visual insight into the data. The tutorial guides scientists and developers through the process of creating and implementing custom visualization techniques using NVIDIA IndeX and CUDA runtime compilation functionality. With the help of well-choosen and constantly evolving example the tutorial will teach the audience how easily comprehensive visualization techniques can be implemented to gain deep insight into complex scientific data.  Back
 
Topics:
In-Situ & Scientific Visualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8705
Streaming:
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Abstract:
NVIDIA IndeX incorporates NVIDIA's hardware and software technology to enable interactive high-quality 3D visual exploration and real time evaluation of computed and simulated large data for a wide range of scientific fields: NVIDIA IndeX is deployed for DGX technology and can be made available as a container on the cloud, such as AWS or NGC. With NVIDIA IndeX scientists gain unique insights into unlimited size and complexity of 3D data and NV-IndeX's in-situ solution allows scientists envisioning remarkable new data simulation and visualization workflows. We present NVIDIA IndeX's CUDA programming interface for implementing novel visualization techniques, illustrates CUDA programs that produce various high-fidelity visualizations and demonstrates large-scale data visualization on the NVIDIA GPU Cloud based on custom visualization techniques.
NVIDIA IndeX incorporates NVIDIA's hardware and software technology to enable interactive high-quality 3D visual exploration and real time evaluation of computed and simulated large data for a wide range of scientific fields: NVIDIA IndeX is deployed for DGX technology and can be made available as a container on the cloud, such as AWS or NGC. With NVIDIA IndeX scientists gain unique insights into unlimited size and complexity of 3D data and NV-IndeX's in-situ solution allows scientists envisioning remarkable new data simulation and visualization workflows. We present NVIDIA IndeX's CUDA programming interface for implementing novel visualization techniques, illustrates CUDA programs that produce various high-fidelity visualizations and demonstrates large-scale data visualization on the NVIDIA GPU Cloud based on custom visualization techniques.  Back
 
Topics:
In-Situ & Scientific Visualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8704
Streaming:
Download:
Share: