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A High-Level Operator Abstraction for GPU Graph Analytics

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D15PC00106
Agency Tracking Number: D2-1390
Amount: $999,933.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: ST13B-004
Solicitation Number: 2013.0
Solicitation Year: 2013
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-01-15
Award End Date (Contract End Date): 2016-07-14
Small Business Information
30 Maloney Ct
Redwood City, CA 94062
United States
DUNS: 078803378
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Vishal Vaidyanathan
 (650) 248-1001
Business Contact
 Vishal Vaidyanathan
Title: Dr.
Phone: (650) 248-1001
Research Institution
 University of California, Davis
 Chris Dye-Hixenbaugh
Office of Research, Sp. Prog. 1850 Research Park Dr., #300
Davis, CA 95618
United States

 (530) 754-7700
 Nonprofit College or University

We are proposing a new software framework for analyzing very large graphs using massively parallel processors (GPUs). This framework will be commercialized on a cloud platform that gives users immediate access to highly advanced big-data analytics through a user-friendly web interface, as well as an HTTP API for easy integration. The platform can be deployed on a private cloud if desired. The system we propose will greatly lower the technological, time and cost barriers to massive graph analysis and will enable a new generation of applications and research in the field.

* Information listed above is at the time of submission. *

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