Large networks such as social media platforms, highway systems and even our genes contain vast amounts of data hiding in plain sight. However, the techniques scientists design to learn about the nonlinear relationships within these structures often result in unintentional…
Faculty Awarded Air Force Grant to Supercharge Information Fusion
Faculty in the College of Engineering and Computer Science have been awarded a $295,000 grant by the Air Force Office of Scientific Research to introduce dynamic data to the design of information fusion systems to accelerate the processing of large amounts of data.
Associate Professor Jian Tang, Professor Biao Chen and Distinguished Professor Pramod K. Varshney will evaluate information fusion, including sensing/data collection, information processing and the fusion objectives, as well as interaction among different layers of the hierarchy. Ultimately, they intend to develop a computational platform that enables scalable stream data processing for real-time information fusion.
The team will combine a custom-built Storm, a widely used distributed computing framework with the powerful processing power of a graphics processing unit (GPU) cluster—creating what they call G-Storm. In doing so, they expect to dramatically increase the system’s speed. They will test, evaluate and report on their findings.
This project represents original research effort on distributed fusion of heterogeneous stream data and will result in a first-of-its-kind distributed GPU-accelerated platform to enable low-latency information fusion.