Accession Number:

ADA582499

Title:

Dataflow-Based Implementation of Layered Sensing Applications on High-Performance Embedded Processors

Descriptive Note:

Final rept. Oct 2010-Oct 2012

Corporate Author:

MARYLAND UNIV COLLEGE PARK

Personal Author(s):

• Shen, Chung-Ching
• Wu, Shenpei
• Wang, Lai-Huei
• Won, Stephen
• Sudusinghe, Kishan
• Bhattacharyya, Shuvra

Report Date:

2013-03-01

Pagination or Media Count:

33.0

Abstract:

Layered Sensing is an emerging paradigm for critical defense technologies in which heterogeneous methods for sensing, communication, signal processing, and information exploitation must be integrated with high flexibility, reliability and efficiency. New design methodologies and software tools will be required to handle the complexity of layered sensing applications, and allow designers to explore trade-offs among alternative sensing and exploitation strategies while satisfying their stringent performance and power consumption constraints, and exploiting the capabilities of state-of-the art embedded processing platforms. In this project, we have developed new dataflow-based technology and associated design tools for high-productivity, high-confidence design and optimization of layered sensing software. These tools are geared towards systematically exploring and optimizing interactions across application behavior, operational context, high performance embedded processing architectures, and implementation constraints.

Descriptors:

• *EMBEDDED SYSTEMS
• *SOFTWARE TOOLS
• CODING
• DETECTION
• IMAGE REGISTRATION
• INTEGRATED SYSTEMS
• SCHEDULING
• SIGNAL PROCESSING

Subject Categories:

• Computer Programming and Software
• Optical Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE