SRC develops sophisticated algorithms and applications to streamline the processing of extremely large data sets (i.e., terabytes). Our high performance framework implements an approach that provides rapid search and query performance for multidimensional data. A two-step approach employs stream mining and statistical temporal summarization to reduce the number of stored objects. The resulting data reduction and indexing allows for data query and analysis with response times far exceeding standard performance measures.
Our high performance computation framework offers the following benefits:
- Significantly reduces processing time for large data sets, allowing for superior analysis of complex problems that would not be possible utilizing standard computing hardware
- Decreases the need to test physical prototypes by making use of advanced computational analyses to predict outcomes
- Runs simulation models fast and efficiently, improving data collection and increasing accuracy
- Agile Condor HPEC Pod for Air Force
The technology is capable of being flown on remotely piloted aircraft in a pod-based enclosure and enables on-board, high-performance embedded computing to derive real-time, actionable intelligence