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

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.