caption here

Embedded and Open Systems

The technology we develop addresses a broad variety of defense-related needs that range from the deployment of real-time embedded processors to the utilization of commercial cloud environments. We succeed by participating in all program phases: system analysis, architecture definition, design, prototyping, field testing, and ultimately the transfer of our technology to provide mission critical capabilities to the warfighter. Our embedded processing systems use advanced computational elements and high-performance hardware/software to support applications in radar, communications, and artificial intelligence. We are involved early in the system development stage so that the embedded processing algorithms and hardware are integrated effectively and operate seamlessly within the systems. The group also develops multi-domain system architectures for sensor systems, avionics systems, ground systems, command and control systems, and enterprise systems. We apply modern software engineering principles and commercial best practices to define and prototype open architecture solutions for these systems.

Featured Projects

This is one use case for embedded AI technology--tactical radios.
An artificial intelligence (AI) test environment can help researchers evaluate promising embedded AI technologies and their impact on systems developed for Department of Defense missions.
The illustration shows a segment of a chip that RECORD adapts its power consumption by activating only portions of the system..
A processor that automatically adjusts to computational needs is designed to minimize power consumption.
The ASIC system on chip was fabricated using industry processes and best practices. This image shows the chip during the packaging process.
A power-efficient application-specific integrated circuit system on chip that performs up to 2 trillion computations per second has potential for use in mobile communication systems.
The processing board for the new graph processor is shown.
A prototype of a new graph processor has been shown to handle big data as efficiently as a supercomputer.

Advancing Our Research

Featured Publications

GraphChallenge.org triangle counting performance [e-print]

Sep 22
2020 IEEE High Performance Computing Conf., HPEC, 22-24 September 2020.

Leveraging linear algebra to count and enumerate simple subgraphs

Sep 22
2020 IEEE High Performance Extreme Computing Conf., HPEC, 22-24 September 2020.

A hardware root-of-trust design for low-power SoC edge devices

Sep 22
2020 IEEE High Performance Extreme Computing Conf., HPEC, 22-24 September 2020.