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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.
Cyber Graph DASL:100X Speed-up of End-to-End Analytic Workflows Using GPUs with Accelerated Graph Analytics, Data Integration, and VisualizationSBC: SYSTAP, LLC Topic: SB152004
Representing networks and complex associations, graphs are an important data structure within the Department of Defense.Applying graph analytics and mining to large data sets enables conducting operations, gathering intelligence, and defending the nations critical capabilities.Graphics Processing Units (GPUs) are demonstrated to provide 10-1000X acceleration for graphs.Building analytics for GPUs ...SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
SBC: CREARE LLC Topic: SB151006
Unmanned Aerial Vehicles (UAVs) are being used extensively by the military for operations in theatre, but they are largely remotely piloted.In particular, for smaller UAVs, added autonomy would make them much more useful.Current FAA regulations make commercial operation of UAVs very difficult and expensive, and a prerequisite for changing the status quo would be added autonomy.The development of s ...SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
SBC: SYSTAP, LLC Topic: SB152004
Conducting operations and defending the nations critical networks in cyberspace requires processing and analyzing massive quantities of graph data in near-real time.New approaches for high performance graph analytics and query are needed for cyber defense and operations at massive data scales. Scaling graphs is a hard problem.Due to non-locality, CPU-based solutions are limited bymain memory bandw ...SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency