Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until September, 2020.

  1. Random Number Generation for High Performance Computing

    SBC: Silicon Informatics, Inc.            Topic: A10aT012

    A parallel random number generation suite that generates, dynamically, millions of parallel pseduorandom number streams suitable for consumption by high performance computing (HPC) applications on various platforms will be implemented, tested, and provided to Government, academic and private HPC users for their evaluation and use. The software will be tuned for scalability, repeatability and effic ...

    STTR Phase II 2013 Department of DefenseArmy
  2. DYNAMICALLY PROGRAMMABLE AND ADAPTIVE MULTI-BAND COMPRESSIVE IMAGING SYSTEM

    SBC: Bridger Photonics, Inc.            Topic: A11aT007

    Bridger Photonics, Inc. and the University of Arizona have successfully demonstrated a Phase I dynamically programmable multi-band compressive imaging system. The team demonstrated three key technical concepts that prove the feasibility of this powerful technology: 1. Advanced algorithms were used to develop compressive measurement basis sets for imaging and target classification. The algorithms ...

    STTR Phase II 2013 Department of DefenseArmy
  3. Solar Blind MgZnO Photodetectors

    SBC: AGNITRON TECHNOLOGY, INC            Topic: A13AT006

    This Phase I program is focused on enhancement of the performance of MgZnO based solar blind detectors. MgZnO alloys have superior optoelectronic properties with bandgaps suitable for solar blind detection. Issues related to doping and miscibility will be addressed. This will involve the use of advanced MOCVD and MBE growth techniques and consideration of both Schottky and p-n junction devices. No ...

    STTR Phase I 2013 Department of DefenseArmy
  4. Random Number Generation for High Performance Computing

    SBC: Silicon Informatics, Inc.            Topic: A10AT012

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
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