Award Data

Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the curr ...

Bridger Photonics and the University of Arizona will develop a passive multi-band compressive sensor for imaging and object recognition applications. The Army has identified a need for multi-band imagery for intelligence, surveillance and reconnaissance missions among others. Multi-band systems offer enhanced discrimination capability and the ability to perform in adverse conditions (at night, smo ...

This STTR project seeks to develop a new manufacturing system for large-scale, low-cost production of bulk ultrafine grained (UFG) or nanostructured metals in plate, sheet or bar forms. These capabilities will be based on scale-up of a new class of machining-based processes called large strain extrusion machining (LSEM) that has been effective at creating high strength, nanoscale microstructures i ...