No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
Schedule TBD
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
Please enter a maximum of {0} words.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2017 GTC San Jose

S7434 - Scaling Cyber Analysis with End-to-End GPU Acceleration

Session Speakers
Session Description

There are billions of network events every day. Analyzing these large event graphs is critical for effective cyber defense. However, the sheer amount of events overwhelms existing tools and systems. Graph analytics forms the basis for complex processing on large event graphs to identify anomalies as smaller sub-graphs for exploration. This session will unveil ongoing work for the first capability for end-to-end GPU acceleration of network traffic analysis that accelerates both analytics and visualization. We'll discuss community detection algorithms such as Newman Spectral Modularity and accelerating it with Blazegraph DASL and nvGraph. We'll also demonstrate the first integration with GPU-accelerated visualization (Graphistry) in which an analyst used community detection and graph traversals to successfully discover a network exfiltration.


Additional Session Information
All
Talk
Accelerated Analytics Federal
Defense Government / National Labs Software
25 minutes
Session Schedule