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GTC ON-DEMAND

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Abstract:
Subsurface spatial data is rapidly increasing in magnitude and in the pace at which it becomes available. At the same time, the technological capacity required to process and manage extreme data is constantly improving. We'll discuss how we're working to incorporate all relevant information into decision-making by leveraging cloud and GPU technology to process large data volumes and deploy deep learning models for geoscience and operations. That allows us to achieve high data-processing efficiency and significant time savings in traditional workflows. We'll present a high-level overview of projects in which we use GPU technology and provide a close look at our most recent implementation of GPU-Accelerated data management and 3D data visualization at scale.
Subsurface spatial data is rapidly increasing in magnitude and in the pace at which it becomes available. At the same time, the technological capacity required to process and manage extreme data is constantly improving. We'll discuss how we're working to incorporate all relevant information into decision-making by leveraging cloud and GPU technology to process large data volumes and deploy deep learning models for geoscience and operations. That allows us to achieve high data-processing efficiency and significant time savings in traditional workflows. We'll present a high-level overview of projects in which we use GPU technology and provide a close look at our most recent implementation of GPU-Accelerated data management and 3D data visualization at scale.  Back
 
Topics:
Seismic & Geosciences
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9921
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Abstract:
As data sources such as sensors, social media, mobile, cloud, and machine logs become pervasive within the enterprise and the 4Vs of data managed by modern business applications increase exponentially, organizations need faster and better visualizations to explore data at scale and discover game-changing insights. Organizations are increasingly adopting modern technologies such as GPUs to interactively visualize billions of data elements in real-time and take faster business decisions. You'll learn how you can augment your existing business applications and visualization capabilities with GPU-accelerated rendering of maps and accompanying dashboards for spatial awareness and location-based analytics, and how GPU's massive parallelization minimizes the need for data preparation and sampling and delivers brute force capabilities to interactively visualize the fast-moving location and time-series data such as trading, traffic, social media, and vehicle telematics at scale and with speed.
As data sources such as sensors, social media, mobile, cloud, and machine logs become pervasive within the enterprise and the 4Vs of data managed by modern business applications increase exponentially, organizations need faster and better visualizations to explore data at scale and discover game-changing insights. Organizations are increasingly adopting modern technologies such as GPUs to interactively visualize billions of data elements in real-time and take faster business decisions. You'll learn how you can augment your existing business applications and visualization capabilities with GPU-accelerated rendering of maps and accompanying dashboards for spatial awareness and location-based analytics, and how GPU's massive parallelization minimizes the need for data preparation and sampling and delivers brute force capabilities to interactively visualize the fast-moving location and time-series data such as trading, traffic, social media, and vehicle telematics at scale and with speed.  Back
 
Topics:
Accelerated Data Science, Geospatial Intelligence
Type:
Talk
Event:
GTC Washington D.C.
Year:
2017
Session ID:
DC7139
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