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2017 GTC San Jose

S7511 - Using the Entire GPU: End-to-End Hardware Acceleration of SQL, Visualization, and Machine Learning

Session Speakers
Session Description

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.


Additional Session Information
Intermediate
Talk
AI Startup Accelerated Analytics Data Center and Cloud Computing Federal
Defense Energy / Oil & Gas Financial Services Internet / Telecommunications Retail / Etail
25 minutes
Session Schedule