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. 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
  4. Alternative Detection Approaches for Nuclear Materials

    SBC: Dymas Research Incorporated            Topic: DTRA082004

    Standoff detection of nuclear materials continues to be one of the most critical tasks that security specialists must confront in a wide variety of applications, both military and civilian. There have been several approaches for standoff nuclear material detection. Each of them utilizes a different fundamental property of nuclear materials to improve the sensitivity of detection. In this SBIR prog ...

    SBIR Phase I 2009 Department of DefenseDefense Threat Reduction Agency
  5. High Fidelity Modeling of Building Collapse with Realistic Visualization of Resulting Damage and Debris

    SBC: Thornton Tomasetti, Inc.            Topic: DTRA082005

    An approach for performing high fidelity modeling for blast and progressive collapse simulations of buildings will be developed. The modeling approach will allow complete simulations of building response to be performed within several days of computing time on desktop PCs. An 'easy to use' modeling interface will also be demonstrated in this effort. All response regimes will be addressed includi ...

    SBIR Phase I 2009 Department of DefenseDefense Threat Reduction Agency
  6. Portable Time of Flight Mass Spectrometer for Nuclear Forensics

    SBC: CREARE LLC            Topic: DTRA08004

    Analysis of nuclear material samples in the field has many advantages over laboratory analysis. Laboratory analyses can be slow, involve increased expense, lead to additional waste generation and disposal problems, and may introduce errors due to sample degradation or mishandling. In situ analysis mitigates all of these problems. The specific aim of this project is the development of a truly por ...

    SBIR Phase I 2008 Department of DefenseDefense Threat Reduction Agency
  7. Agent Defeat using a DWA Accelerator

    SBC: Brookhaven Technology Group, Inc.            Topic: DTRA08008

    A new type of compact induction accelerator currently under development at the Lawrence Livermore National Laboratory (LLNL) promises to increase the average accelerating gradient by at least an order of magnitude over that of existing induction machines. The machine is based on the use of high gradient vacuum insulators and advanced dielectric materials and switches. The system, called the Diel ...

    SBIR Phase I 2008 Department of DefenseDefense Threat Reduction Agency
  8. Engineering Models for Damage to Structural Components Subjected to Internal Blast Loading

    SBC: Thornton Tomasetti, Inc.            Topic: DTRA08006

    Predicting the response of building components to internal detonations is more complex than the corresponding task for external loads because of the more complex loading waveforms which include multiple reflections in the shock phase followed by a long duration pseudostatic loading that depends upon room venting. Add the possibility of additional impulsive loading from primary debris. We propose t ...

    SBIR Phase I 2008 Department of DefenseDefense Threat Reduction Agency
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