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 June, 2020.

  1. Memory Instrumentation and Performance Simulation (MIPS)

    SBC: ATC-NY, Inc.            Topic: DTRA172003

    Next-generation high-performance computing (HPC) hardware, such as the Intel Xeon Phi Knights Landing Many-Integrated-Core processor, provide new deep memory architectures that offer the promise of increased performance. The challenge in taking full advantage of this architecture is selecting which data structures will be placed in the high-bandwidth memory. Optimizing data structure placement in ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  2. Low-Cost Sensing Array for Infrasound

    SBC: CREARE LLC            Topic: DTRA172001

    Infrasound and seismic measurements are used by DTRA and the DoD for nuclear test monitoring, terrorist blast forensics, battle damage assessment, and environmental monitoring. However, these long wavelength physical signals are typically recorded through single-point sensors or sparse low density arrays. As a result, the critical signals of interest are often corrupted or masked by noise or inter ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  3. Additive Manufacturing of All Solid-State Batteries with Novel Electrode Architectures

    SBC: Storagenergy Technologies, Inc.            Topic: DTRA172005

    Supercapacitors have attracted considerable recent attentions due to their high-power density, and long cycle life. Unfortunately, the energy density of supercapacitors is too low to meet these applications requiring an energy supply for longer periods (hours or days). Storagenergy Technologies Inc. proposes to develop a superior all solid-state battery (ASSB) fabricated by additive manufacturing ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  4. A Robust, Machine Independent, Software Toolkit for Topology Aware Process Mapping on Distributed Memory HPC Architectures

    SBC: Continuum Dynamics Inc            Topic: DTRA172002

    A significant performance gap exists between the theoretical number of Floating Point Operations (FLOPS) that a HPC machine is capable of sustaining and the number of FLOPS realized by real-world HPC applications. One of the principle reasons for this gap is the parasitic work that computational processes must do to communicate with one another. It has been shown that this communication work can b ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  5. Lithography Cost Reduction for Rad Hard Integrated Circuits

    SBC: SILICON TECHNOLOGIES, INC.            Topic: DTRA143008

    The DoD faces mounting costs for integrated circuits built with advanced technology. Our proposal addresses mixed-signal ASIC design costs and fabrication costs, notably photomask costs and photolithography costs. The ADONIS 1D design methodology has been demonstrated at technologies ranging from 130nm to 16nm. In Phase I of the program, we used ADONIS to design a reference circuit a high-speed c ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  6. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: Clostra, Inc.            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  7. Archimedes: Automated invention for threat anticipation

    SBC: ATC-NY, Inc.            Topic: DTRA162005

    "Anticipating future acts of creativity by our adversaries is very difficult. Yet, to avoid being blindsided by surprising new forms of WMD enabled by technology trends and scientific advances, DTRA must concern itself with exactly such future inventions. ATC-NY will develop the Archimedes system to give the DTRA an early heads up about anticipated technology, and scientific discoveries with po ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  8. Data-Driven Technology Discovery Application

    SBC: Semandex Networks Inc.            Topic: DTRA162005

    Automatically identifying emerging technologies and research trends from the high volume of the worlds scientific publications is of great significance in order to stay ahead of the critical advances that impact the development of new and disruptive technologies. Semandex and Barnstorm will implement a prototype tool, INSIGHT, that will scan large datasets from web content services and perform ana ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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