Graph Analytics in Big Data (SC12 Birds-of-a-Feather)
Salt Palace Convention Center
Salt Lake City, UT
15 November 2012
Scope and Goals:
Data intensive computing, popularly known as Big Data, has grown enormously in importance over the past 5 years. However, most data intensive computing is focused on conventional analytics: searching, aggregating and summarizing the data set. Graph analytics goes beyond conventional analytics to search for patterns of relationships, a capability that has important application in many HPC areas ranging from climate science to healthcare and life sciences to intelligence. The purpose of this BOF is to bring together practitioners of graph analytics. Presentations and discussions will include system architectures and software designed specifically for graph analytics; applications; and benchmarking.
This workshop is co-located with SC12, held 10-16 November 2012, at the Salt Palace Convention Center in Salt Lake City, UT.
Thursday, November 13
12:15 PM - 1:15 PM
- 12:15-12:30 Massive-Scale Streaming Graph Analytics
- David A. Bader, Georgia Institute of Technology, USA
- 12:30-12:45 Graph Analytics in Big Data
- John Feo, Pacific Northwest National Laboratory, USA
- 12:45-1:00 Statistical Models and Methods for Anomaly Detection in Large Graphs
- Bob Techentin, Mayo Clinic, USA
- Amar Shan, YarcData, Cray, Inc.
- Shoaib Mufti, YarcData, Cray, Inc.
- Steve P. Reinhardt, YarcData, Cray, Inc.