Self-Aware Processing for Adaptive Resource Optimization of Advanced Computing Systems

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,577.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-08-C-0201
Award Id:
81264
Agency Tracking Number:
07SB2-0151
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
200 Canal View Blvd, Rochester, NY, 14623
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
MichaelRoemer
Director of Engineering
(585) 424-1990
mike.roemer@impact-tek.com
Business Contact:
MarkRedding
President
(585) 424-1990
mark.redding@impact-tek.com
Research Institute:
n/a
Abstract
Impact Technologies, in collaboration with the Georgia Institute of Technology and our commercialization partner Raytheon, propose to develop and demonstrate a suite of core self-aware processing technologies that can autonomously adapt available computing resources based on the real-time processing requirements and state awareness of the overall computing environment. Building on the team's expertise in real-time prognostics and health monitoring for digital electronic systems, our proposed approach will integrate state-of-the-art electronic system fault detection with higher level cognitive modeling techniques to provide the constituent capabilities for advanced, reconfigurable computing. The self-aware system will utilize artificial intelligence technologies such as probabilistic neural networks as underlying software agents within a distributed reasoning process similar to cognitive capabilities in human thinking processes. These systems will balance resources, efficiencies, and mission priorities to efficiently use system resources to dynamically and effectively meet changing operational requirements. In doing so, it is anticipated that the performance of the systems can be enhanced several times when compared for such critical metrics as power consumption, fault-tolerance, and reliability.

* information listed above is at the time of submission.

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