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GTC ON-DEMAND

Accelerated Data Science
Presentation
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Using the Entire GPU: End-to-End Hardware Acceleration of SQL, Visualization, and Machine Learning
Abstract:
The ability to use GPUs to power real-time analytics past the billion row threshold is already here. But what about a trillion rows? The technical challenges to overcome that hurdle are more complex and require a delicate balance of memory management, data serialization over the network, servers working in lockstep, and managing redundancy and single points of failure. We'll outline and demonstrate how MapD tackled this problem and, more importantly, how you can visualize the outputs of various queries.
 
Topics:
Accelerated Data Science, AI Startup, Federal, Data Center & Cloud Infrastructure
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7511
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