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Co-Design for Edge Artificial Intelligence: Application-Specific System on Chip

Presentation
Dr. John G. Wohlbier presented this project at CMU SEI Research Review 2024.
Publisher

Software Engineering Institute

Abstract

Hardware inefficiencies pose major limitations to U.S. Department of Defense (DoD) applications; current processors simply cannot keep up with the large and complex machine learning (ML) workloads needed to perform their missions. Utilizing co-design (concurrent design of electronic system hardware and software components), this project aims to provide tools to overcome these limitations and yield practical results that increase battery life, reduce weight warfighters must carry, increase maneuverability of forces, and reduce time from sensor to shooter.