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GTC ON-DEMAND

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Abstract:

Cyber security has an unique complex data problem; 250M to 2B events daily is common. In addition, data is scattered across numerous protection/detection systems and data silos. Rethinking the cybersecurity problem as a data-centric problem, Accenture Labs Cyber Security team uses emerging big-data tools, graph databases & analysis, and GPUs to exploit the connected nature of the data. Pairing GPUs with traditional big data technology created a best of breed evolving system, ASGARD, to allow users to hunt for new unknown threats and risks at speeds much faster than pure CPU systems. Learn how we're visualizing orders of magnitude more data with Graphistry, a GPU powered visualization engine, and accelerating complex analytics on GPUs to level the playing field against new cyber threats.

Cyber security has an unique complex data problem; 250M to 2B events daily is common. In addition, data is scattered across numerous protection/detection systems and data silos. Rethinking the cybersecurity problem as a data-centric problem, Accenture Labs Cyber Security team uses emerging big-data tools, graph databases & analysis, and GPUs to exploit the connected nature of the data. Pairing GPUs with traditional big data technology created a best of breed evolving system, ASGARD, to allow users to hunt for new unknown threats and risks at speeds much faster than pure CPU systems. Learn how we're visualizing orders of magnitude more data with Graphistry, a GPU powered visualization engine, and accelerating complex analytics on GPUs to level the playing field against new cyber threats.

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Topics:
Federal, Intelligent Machines, IoT & Robotics, HPC and AI
Type:
Talk
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCS16135
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