High Efficiency, Scalable, Parallel Processing Approaches for Multi-Sensor Data Fusion

"Aximetric and the Cornell Theory Center (CTC) strongly backed by Microsoft High Performance Computing (HPC) lab proposes a portable parallel computing model for windows platform called Java based Bulk Synchronous Parallel System (JBSP) that is implementedusing the .net clustering technology developed by Microsoft. The uniqueness of this approach is to provide portable model called JBSP.Net using the BSP cost model along with Java like visual environment provided by Microsoft. Current approaches forportable parallel computing will be studied and proposed in light of the Sensory fusion problem, and new approaches for load balancing using the proposed model will be presented. A graph-based load balancing system (GPSys) will be developed to assist inload balancing and performance mapping.The Bulk Synchronous Parallel (BSP) model (Valient, 90) is a very portable model that uses simple programming parameters for building the parallel programming model. These models can be built on uniprocessor machines and the same can be easily transferredto parallel/distributed processors using the BSP library for those platforms. The compile once run anywhere concept of Java, the BSP parallel model and the newly developed .Net architecture (Microsoft, 02) developed by microsoft to network servers, formthe crux of our approach towards portability and scalability using low cost windows workstations.Aximetric team is proposing a unique graph based architec