Real-time Characterization of Variable-rate Streaming Data

Technology focusing on collection, processing, and analysis of real-time data is playing a major role in military and civilian applications. With the advent of GPU and accelerator computing, the collection, processing, and analysis of real-time data streams is technically possible at an unprecedented scale. The first goal of this proposal is to quickly analyze high-bandwidth data streams by leveraging the computational throughput of heterogeneous computing, with particular focus on GPUs. The second goal is to build a highly intuitive and high-quality visualization platform using OpenGL for displaying real-time metrics of streaming data. AccelerEyes develops ArrayFire, which is the largest software library for GPU and accelerator computing and contains built-in functions for statistical analysis. In addition, ArrayFire also has a pre-existing technology platform for high-fidelity visualization of data, which must be extended to meet the demands of this solicitation. This proposal brings customers into the development process to ensure user-driven development and ultimate adopt-ability of the product. With some of the best graphics programming expertise in the industry, AccelerEyes is uniquely positioned to carry out the tasks outlined above and deliver outstanding results paving the way for Phase II of this project and eventual commercialization of this software.